docs(python): fix cross-references that resolved to the wrong page

`mkdocs build --strict` only catches references it cannot resolve. A bare anchor such as `[limit][]` or `[vector search][search]` is matched by autorefs against any heading on the site, so six of them silently linked into the JavaScript reference instead. The relative links in `permutation.py` and `remote/errors.py` pointed at in-page anchors and paths that do not exist. Targets that still exist here or in an imported inventory now use mkdocstrings references; the guide pages deleted in #2770 use their lancedb.com URLs. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
docs: clear the mkdocs warning backlog so --strict passes
2026-08-27 08:28:28 +00:00 · 2026-07-30 16:19:38 -07:00 · 2026-07-29 14:15:20 -07:00 · 2026-07-29 13:59:23 -07:00 · 2026-07-29 13:46:45 -07:00
118 changed files with 2119 additions and 12317 deletions
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.37.1-beta.1"
+current_version = "0.37.1-beta.0"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
@@ -1,222 +0,0 @@
-name: Check doc links
-
-# Checking external links is inherently noisy: third-party sites rate-limit
-# automated clients, reject non-browser user agents, and go down temporarily.
-# Blocking pull requests on that trades a lot of false failures for very little
-# signal, so this runs on a schedule and reports findings in a single tracking
-# issue instead of failing anyone's build.
-on:
-  schedule:
-    - cron: "0 7 * * *"
-  workflow_dispatch:
-
-# The report lives in one repository-global issue, so runs must not overlap: a
-# lookup racing a create produces duplicate issues, and a healthy run closing
-# the issue while a failing run only rewrites its body would leave a broken
-# report closed. The group is deliberately ref-independent so that a manual
-# dispatch serializes against the scheduled run.
-concurrency:
-  group: docs-link-check
-  cancel-in-progress: false
-
-permissions: {}
-
-env:
-  REPORT_TITLE: "Docs link checker report"
-
-jobs:
-  scan:
-    name: Scan links
-    runs-on: ubuntu-24.04
-    # lychee-action is pinned by SHA, but its wrapper downloads the lychee
-    # release tarball at run time without verifying a digest, and hands the
-    # resulting binary a GitHub token. Release assets remain replaceable, so
-    # that binary is confined to a job whose token can only read public
-    # content; everything that writes runs in the report job below.
-    permissions:
-      contents: read
-    outputs:
-      exit_code: ${{ steps.lychee.outputs.exit_code }}
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v6
-        with:
-          # workflow_dispatch can run from any ref, but the report is
-          # repository-global. Always measure the default branch so a manual
-          # run from a topic branch cannot close a report that main warrants,
-          # or overwrite it with branch-only findings.
-          ref: ${{ github.event.repository.default_branch }}
-          persist-credentials: false
-
-      - name: Check links
-        id: lychee
-        uses: lycheeverse/lychee-action@e7477775783ea5526144ba13e8db5eec57747ce8 # v2.9.0
-        with:
-          # Restricted to http(s) on purpose. Much of docs/src is generated
-          # API reference (the js/ tree comes from `npm run docs` in nodejs)
-          # and the hand-written pages use mkdocstrings cross-references and
-          # nav-relative paths that only resolve in the site mkdocs builds,
-          # not in this checkout, so relative links would be reported as
-          # broken on every run.
-          args: >-
-            --scheme https
-            --scheme http
-            --no-progress
-            --max-retries 3
-            --timeout 20
-            'docs/src/**/*.md'
-          format: json
-          output: ./lychee/out.json
-          jobSummary: false
-          # The report, not a red build, is the signal for broken links. The
-          # validation step below still fails the run if the check itself
-          # breaks.
-          fail: false
-
-      - name: Validate report
-        # lychee does not reserve exit code 2 for broken links: its CLI
-        # parser also exits 2 on an invalid option, before any link was
-        # checked or any report written. Only a parseable report whose
-        # counts agree with the exit code counts as a link verdict; anything
-        # else fails here, and the report job below is skipped entirely, so
-        # the tracking issue is never touched. Exit 2 covers timeouts as
-        # well as errors, and a timed-out host is exactly the transient
-        # unavailability this report exists to surface, so both count as
-        # findings. Requiring total > 0 also catches a glob that silently
-        # stopped matching any file.
-        if: steps.lychee.outputs.exit_code == 0 || steps.lychee.outputs.exit_code == 2
-        env:
-          EXIT_CODE: ${{ steps.lychee.outputs.exit_code }}
-        run: |
-          jq -e --argjson code "$EXIT_CODE" '
-            (.total > 0) and
-            (if $code == 0
-             then .errors == 0 and .timeouts == 0
-               and (.error_map | length == 0) and (.timeout_map | length == 0)
-             else (.errors + .timeouts) > 0
-               and ((.error_map | length) + (.timeout_map | length)) > 0
-             end)
-          ' ./lychee/out.json
-
-      - name: Upload report
-        if: steps.lychee.outputs.exit_code == 2
-        uses: actions/upload-artifact@v7
-        with:
-          name: link-report
-          path: ./lychee/out.json
-          retention-days: 7
-
-  report:
-    name: Update report issue
-    needs: scan
-    runs-on: ubuntu-24.04
-    # Deliberately no checkout: this job needs the report artifact and the
-    # issues API, not the repository contents.
-    permissions:
-      issues: write
-    env:
-      EXIT_CODE: ${{ needs.scan.outputs.exit_code }}
-      GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-    steps:
-      - name: Classify checker result
-        # lychee exits 0 when every link resolves and 2 when links fail,
-        # both already cross-checked against the report by the scan job's
-        # validation step. Anything else (1 runtime, 3 bad config) means the
-        # check never produced a link verdict, which must surface as a failed
-        # run rather than be published as "broken documentation links".
-        run: |
-          case "$EXIT_CODE" in
-            0|2)
-              echo "lychee exit code $EXIT_CODE"
-              ;;
-            *)
-              echo "::error::lychee exited with '$EXIT_CODE': the link check did not complete. Leaving the report issue untouched."
-              exit 1
-              ;;
-          esac
-
-      - name: Find existing report issue
-        id: report
-        # Matched on title alone, and through search rather than a listing:
-        # the issue action applies labels in a separate call after creating the
-        # issue, so a label filter misses a half-created report, and this
-        # repository has far more open issues than one listing page holds.
-        # Closed issues are included because a healthy run closes the report:
-        # an open-only lookup would forget that identity and the next failing
-        # run would open a duplicate. The oldest match stays the canonical
-        # report and is reopened below when links break again.
-        run: |
-          match=$(gh issue list --repo "$GITHUB_REPOSITORY" --state all \
-            --search "in:title \"$REPORT_TITLE\" author:app/github-actions" \
-            --limit 50 --json number,title,state \
-            --jq "[.[] | select(.title == \"$REPORT_TITLE\")] | sort_by(.number) | first // empty")
-          echo "number=$(jq -r '.number // empty' <<<"$match")" >> "$GITHUB_OUTPUT"
-          echo "state=$(jq -r '.state // empty' <<<"$match")" >> "$GITHUB_OUTPUT"
-
-      - name: Download report
-        if: env.EXIT_CODE == 2
-        uses: actions/download-artifact@v8
-        with:
-          name: link-report
-          path: ./lychee
-
-      - name: Compose report
-        if: env.EXIT_CODE == 2
-        run: |
-          run_url="$GITHUB_SERVER_URL/$GITHUB_REPOSITORY/actions/runs/$GITHUB_RUN_ID"
-          {
-            echo "Broken documentation links found by [\`$GITHUB_WORKFLOW\`]($run_url)."
-            echo
-            echo "This issue is rewritten by every scheduled run and closed automatically once all links resolve."
-            echo
-            echo "Entries can be false positives: some sites rate-limit or block automated clients while working fine in a browser. Confirm before editing the docs, and add persistent offenders to \`--exclude\` in \`.github/workflows/docs-link-check.yml\`."
-            echo
-            # Timeouts are reported alongside errors: entries land in
-            # timeout_map with a status text instead of an HTTP code.
-            jq -r '
-              "\(.errors) of \(.total) links failed, \(.timeouts) timed out.",
-              "",
-              ([(.error_map | to_entries[]), (.timeout_map | to_entries[])]
-               | group_by(.key)[] |
-                "### Errors in \(.[0].key)",
-                "",
-                (map(.value[])[] | "* [\(.status.code // .status.text // "ERR")] <\(.url)> — \(.status.details // .status.text // "unknown error")"),
-                "")
-            ' ./lychee/out.json
-          } > ./lychee/issue.md
-
-      - name: Reopen report issue
-        # A healthy run closes the report, and the issue action below only
-        # rewrites the body of whatever number it is given. Without an
-        # explicit reopen, the 2 -> 0 -> 2 sequence would keep rewriting a
-        # closed issue while links are broken. A CLOSED state implies the
-        # lookup found a canonical issue, so no separate emptiness check.
-        if: env.EXIT_CODE == 2 && steps.report.outputs.state == 'CLOSED'
-        env:
-          ISSUE_NUMBER: ${{ steps.report.outputs.number }}
-        run: |
-          run_url="$GITHUB_SERVER_URL/$GITHUB_REPOSITORY/actions/runs/$GITHUB_RUN_ID"
-          gh issue reopen "$ISSUE_NUMBER" --repo "$GITHUB_REPOSITORY" \
-            --comment "Broken documentation links found again in [the latest run]($run_url)."
-
-      - name: Report broken links
-        if: env.EXIT_CODE == 2
-        uses: peter-evans/create-issue-from-file@fca9117c27cdc29c6c4db3b86c48e4115a786710 # v6.0.0
-        with:
-          # Empty on the first failing run, which creates the issue; afterwards
-          # the same issue is updated in place.
-          issue-number: ${{ steps.report.outputs.number }}
-          title: ${{ env.REPORT_TITLE }}
-          content-filepath: ./lychee/issue.md
-          labels: documentation
-
-      - name: Close report issue once links are healthy
-        # An OPEN state implies the lookup found a canonical issue; a report
-        # that is already closed needs nothing.
-        if: env.EXIT_CODE == 0 && steps.report.outputs.state == 'OPEN'
-        env:
-          ISSUE_NUMBER: ${{ steps.report.outputs.number }}
-        run: |
-          run_url="$GITHUB_SERVER_URL/$GITHUB_REPOSITORY/actions/runs/$GITHUB_RUN_ID"
-          gh issue close "$ISSUE_NUMBER" --repo "$GITHUB_REPOSITORY" \
-            --comment "All documentation links resolved in [the latest run]($run_url)."
@@ -296,18 +296,16 @@ jobs:
          cargo update -p aws-types --precise 1.3.9
          cargo update -p aws-sigv4 --precise 1.3.5
          cargo update -p aws-credential-types --precise 1.2.8
-          # aws-smithy-checksums must stay at or above 0.63.13: OpenDAL's S3
-          # service needs crc-fast ~1.9, and older releases pin it to ~1.3.
-          cargo update -p aws-smithy-checksums --precise 0.63.13
+          cargo update -p aws-smithy-checksums --precise 0.63.9
          cargo update -p aws-smithy-runtime --precise 1.9.3
-          cargo update -p aws-smithy-http --precise 0.62.6
-          cargo update -p aws-smithy-eventstream --precise 0.60.14
+          cargo update -p aws-smithy-http --precise 0.62.4
+          cargo update -p aws-smithy-eventstream --precise 0.60.12
          cargo update -p aws-smithy-http-client --precise 1.1.3
          cargo update -p aws-smithy-observability --precise 0.1.4
          cargo update -p aws-smithy-query --precise 0.60.8
-          cargo update -p aws-smithy-runtime-api --precise 1.9.3
-          cargo update -p aws-smithy-async --precise 1.2.7
-          cargo update -p aws-smithy-types --precise 1.3.6
+          cargo update -p aws-smithy-runtime-api --precise 1.9.1
+          cargo update -p aws-smithy-async --precise 1.2.6
+          cargo update -p aws-smithy-types --precise 1.3.5
          cargo update -p aws-smithy-xml --precise 0.60.11
          cargo update -p home --precise 0.5.9
      - name: cargo +${{ matrix.msrv }} check
@@ -13,20 +13,20 @@ categories = ["database-implementations"]
 rust-version = "1.91.0"

 [workspace.dependencies]
-lance = { "version" = "=11.0.0-beta.3", default-features = false, "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-core = { "version" = "=11.0.0-beta.3", "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-datagen = { "version" = "=11.0.0-beta.3", "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-file = { "version" = "=11.0.0-beta.3", "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-io = { "version" = "=11.0.0-beta.3", default-features = false, "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-index = { "version" = "=11.0.0-beta.3", "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-linalg = { "version" = "=11.0.0-beta.3", "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace = { "version" = "=11.0.0-beta.3", "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace-impls = { "version" = "=11.0.0-beta.3", default-features = false, "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-table = { "version" = "=11.0.0-beta.3", "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-testing = { "version" = "=11.0.0-beta.3", "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-datafusion = { "version" = "=11.0.0-beta.3", "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-encoding = { "version" = "=11.0.0-beta.3", "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-arrow = { "version" = "=11.0.0-beta.3", "tag" = "v11.0.0-beta.3", "git" = "https://github.com/lance-format/lance.git" }
+lance = { "version" = "=10.0.0-beta.5", default-features = false, "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-core = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-datagen = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-file = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-io = { "version" = "=10.0.0-beta.5", default-features = false, "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-index = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-linalg = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace-impls = { "version" = "=10.0.0-beta.5", default-features = false, "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-table = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-testing = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-datafusion = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-encoding = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-arrow = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
 ahash = "0.8"
 # Note that this one does not include pyarrow
 arrow = { version = "58.0.0", optional = false }
@@ -52,7 +52,7 @@ env_logger = "0.11"
 half = { "version" = "2.7.1", default-features = false, features = [
    "num-traits",
 ] }
-futures = "0.3"
+futures = "0"
 log = "0.4"
 metrics = "0.24"
 metrics-util = "0.19"
@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
 <dependency>
    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-core</artifactId>
-    <version>0.37.1-beta.1</version>
+    <version>0.37.1-beta.0</version>
 </dependency>
 ```

@@ -25,27 +25,6 @@ the underlying connection has been closed.

 ## Methods

-### cancelJob()
-
-```ts
-abstract cancelJob(jobId): Promise<boolean>
-```
-
-Request cancellation of a server-side job by id.
-
-Resolves to true if the server accepted the cancellation, false if no
-such job exists. Cancelling an already-terminal job is a no-op success.
-
-#### Parameters
-
-* **jobId**: `string`
-
-#### Returns
-
-`Promise`&lt;`boolean`&gt;
-
-***
-
 ### cloneTable()

 ```ts
@@ -386,26 +365,6 @@ Drop an existing table.

 ***

-### getJob()
-
-```ts
-abstract getJob(jobId): Promise<null | JobDescription>
-```
-
-Describe a single server-side job by id.
-
-Resolves to `null` when the server has no such job.
-
-#### Parameters
-
-* **jobId**: `string`
-
-#### Returns
-
-`Promise`&lt;`null` \| [`JobDescription`](../interfaces/JobDescription.md)&gt;
-
-***
-
 ### isOpen()

 ```ts
@@ -420,62 +379,6 @@ Return true if the connection has not been closed

 ***

-### job()
-
-```ts
-abstract job(jobId): Job
-```
-
-A [Job](Job.md) handle for a server-side job by id.
-
-The handle is constructed without a server round trip; an unknown id
-surfaces when the handle is used. Dropping the handle has no effect on
-the job itself.
-
-#### Parameters
-
-* **jobId**: `string`
-
-#### Returns
-
-[`Job`](Job.md)
-
-***
-
-### jobHistory()
-
-```ts
-abstract jobHistory(jobId?): Promise<Table<any>>
-```
-
-The lifecycle event history of a server-side job, as an Arrow table.
-
-Lists history across all jobs when `jobId` is omitted.
-
-#### Parameters
-
-* **jobId?**: `string`
-
-#### Returns
-
-`Promise`&lt;`Table`&lt;`any`&gt;&gt;
-
-***
-
-### listJobs()
-
-```ts
-abstract listJobs(): Promise<JobInfo[]>
-```
-
-List server-side jobs across the database's tables.
-
-#### Returns
-
-`Promise`&lt;[`JobInfo`](../interfaces/JobInfo.md)[]&gt;
-
-***
-
 ### listNamespaces()

 ```ts
@@ -1,83 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / Job
-
-# Class: Job
-
-A handle to an operation that may still be running.
-
-## Constructors
-
-### new Job()
-
-```ts
-new Job(): Job
-```
-
-#### Returns
-
-[`Job`](Job.md)
-
-## Accessors
-
-### id
-
-```ts
-get id(): null | string
-```
-
-Identifies the operation on the server that is running it. Operations
-that run in this process have no server id. The value is opaque.
-
-#### Returns
-
-`null` \| `string`
-
-## Methods
-
-### cancel()
-
-```ts
-cancel(): Promise<void>
-```
-
-Request cancellation. Cancelling a finished operation is a no-op.
-
-#### Returns
-
-`Promise`&lt;`void`&gt;
-
-***
-
-### status()
-
-```ts
-status(): Promise<string>
-```
-
-The operation's current lifecycle state: "running", "finished",
-"failed", or "cancelled".
-
-A point snapshot; unlike [Job.wait](Job.md#wait) it does not block or reject
-on a terminal failure state. States a newer server reports that this
-client version does not know pass through as-is.
-
-#### Returns
-
-`Promise`&lt;`string`&gt;
-
-***
-
-### wait()
-
-```ts
-wait(): Promise<void>
-```
-
-Wait until the operation reaches a terminal state.
-
-#### Returns
-
-`Promise`&lt;`void`&gt;
@@ -295,29 +295,6 @@ await table.createIndex("my_float_col");

 ***

-### createIndexAsync()
-
-```ts
-abstract createIndexAsync(column, options?): Promise<Job>
-```
-
-Create an index, returning a handle to the indexing job.
-
-The job may already be complete when returned; callers must not assume
-the index exists until [Job.wait](Job.md#wait) resolves.
-
-#### Parameters
-
-* **column**: `string`
-
-* **options?**: `Partial`&lt;[`IndexOptions`](../interfaces/IndexOptions.md)&gt;
-
-#### Returns
-
-`Promise`&lt;[`Job`](Job.md)&gt;
-
-***
-
 ### currentBranch()

 ```ts
@@ -431,10 +408,9 @@ Read the [LsmWriteSpec](../interfaces/LsmWriteSpec.md) currently installed on th

 Resolves to `undefined` when the MemWAL LSM write path is not enabled (no
 spec has been set, or it was removed with [Table#unsetLsmWriteSpec](Table.md#unsetlsmwritespec)).
-The returned spec mirrors what was passed to
-[Table#setLsmWriteSpec](Table.md#setlsmwritespec), except that `maintainedIndexes` always
-reports the concrete list resolved when the spec was set — `undefined`
-never round-trips.
+The returned spec — including its `maintainedIndexes` and
+`writerConfigDefaults` — mirrors what was passed to
+[Table#setLsmWriteSpec](Table.md#setlsmwritespec).

 #### Returns

@@ -807,11 +783,6 @@ All variants require the table to have an unenforced primary key
 ([Table#setUnenforcedPrimaryKey](Table.md#setunenforcedprimarykey)); bucket sharding additionally
 requires it to be the single column being bucketed.

-Omitting `maintainedIndexes` maintains every index on the table, resolved
-here, failing if one cannot be maintained — name them to install anyway.
-Naming them pins an exact set, and a still-building index is rejected
-rather than quietly omitted.
-
 #### Parameters

 * **spec**: [`LsmWriteSpec`](../interfaces/LsmWriteSpec.md)
@@ -25,7 +25,6 @@
 - [Connection](classes/Connection.md)
 - [HeaderProvider](classes/HeaderProvider.md)
 - [Index](classes/Index.md)
- [Job](classes/Job.md)
 - [MakeArrowTableOptions](classes/MakeArrowTableOptions.md)
 - [MatchQuery](classes/MatchQuery.md)
 - [MergeInsertBuilder](classes/MergeInsertBuilder.md)
@@ -89,9 +88,6 @@
 - [IvfFlatOptions](interfaces/IvfFlatOptions.md)
 - [IvfPqOptions](interfaces/IvfPqOptions.md)
 - [IvfRqOptions](interfaces/IvfRqOptions.md)
- [JobDescription](interfaces/JobDescription.md)
- [JobFailureInfo](interfaces/JobFailureInfo.md)
- [JobInfo](interfaces/JobInfo.md)
 - [ListNamespacesOptions](interfaces/ListNamespacesOptions.md)
 - [ListNamespacesResponse](interfaces/ListNamespacesResponse.md)
 - [LsmWriteSpec](interfaces/LsmWriteSpec.md)
@@ -1,66 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / JobDescription
-
-# Interface: JobDescription
-
-A described job from `Connection.getJob`.
-
-## Properties
-
-### creationMs
-
-```ts
-creationMs: number;
-```
-
-When the job was created, in milliseconds since the epoch.
-
-***
-
-### failure?
-
-```ts
-optional failure: JobFailureInfo;
-```
-
-Why the job failed, when the job is failed and the server reports a
-reason.
-
-***
-
-### jobId
-
-```ts
-jobId: string;
-```
-
-***
-
-### jobType
-
-```ts
-jobType: string;
-```
-
-***
-
-### specJson?
-
-```ts
-optional specJson: string;
-```
-
-The job-type-specific specification as a JSON string, when present.
-
-***
-
-### state
-
-```ts
-state: string;
-```
-
-Lifecycle state: "running", "finished", "failed", or "cancelled".
@@ -1,33 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / JobFailureInfo
-
-# Interface: JobFailureInfo
-
-The server's account of why a job failed.
-
-## Properties
-
-### message?
-
-```ts
-optional message: string;
-```
-
-***
-
-### phase?
-
-```ts
-optional phase: string;
-```
-
-***
-
-### retryable?
-
-```ts
-optional retryable: boolean;
-```
@@ -1,58 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / JobInfo
-
-# Interface: JobInfo
-
-A row from `Connection.listJobs`: one server-side job.
-
-## Properties
-
-### createdAtMillis
-
-```ts
-createdAtMillis: number;
-```
-
-When the job was created, in milliseconds since the epoch.
-
-***
-
-### jobId
-
-```ts
-jobId: string;
-```
-
-The job id -- what `Connection.getJob` and `Connection.cancelJob`
-accept.
-
-***
-
-### jobType
-
-```ts
-jobType: string;
-```
-
-***
-
-### state
-
-```ts
-state: string;
-```
-
-Lifecycle state: "running", "finished", "failed", or "cancelled".
-
-***
-
-### table
-
-```ts
-table: string;
-```
-
-The table the job runs against, without URI or namespace.
@@ -34,9 +34,7 @@ Bucket and identity variants: the sharding column.
 optional maintainedIndexes: string[];
 ```

-Indexes the MemWAL keeps up to date. Omit to maintain every supported
-index, resolved on install — a snapshot, so indexes created later are not
-maintained. Pass `[]` for none.
+Names of indexes the MemWAL should keep up to date during writes.

 ***

@@ -44,7 +44,4 @@ The number of rows in the table
 totalBytes: number;
 ```

-The total size, in bytes, of the table's data files, index files, and
-overlay files
-
-Read from the manifest, so this excludes deletion files and manifests.
+The total number of bytes in the table
@@ -31,7 +31,7 @@ is also an [asynchronous API client](#connections-asynchronous).
 ## Namespaces (Synchronous)

 A namespace-backed connection resolves tables through a
-[Lance namespace](https://lance-format.github.io/lance-namespace/) service instead of
+[Lance namespace](https://lancedb.github.io/lance-namespace/) service instead of
 listing a storage directory.

 ::: lancedb.connect_namespace
@@ -8,7 +8,7 @@
    <parent>
      <groupId>com.lancedb</groupId>
      <artifactId>lancedb-parent</artifactId>
-      <version>0.37.1-beta.1</version>
+      <version>0.37.1-beta.0</version>
      <relativePath>../pom.xml</relativePath>
    </parent>

@@ -6,7 +6,7 @@

    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-parent</artifactId>
-    <version>0.37.1-beta.1</version>
+    <version>0.37.1-beta.0</version>
    <packaging>pom</packaging>
    <name>${project.artifactId}</name>
    <description>LanceDB Java SDK Parent POM</description>
@@ -28,7 +28,7 @@
    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <arrow.version>15.0.0</arrow.version>
-        <lance-core.version>11.0.0-beta.3</lance-core.version>
+        <lance-core.version>10.0.0-beta.5</lance-core.version>
        <spotless.skip>false</spotless.skip>
        <spotless.version>2.30.0</spotless.version>
        <spotless.java.googlejavaformat.version>1.7</spotless.java.googlejavaformat.version>
@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.37.1-beta.1"
+version = "0.37.1-beta.0"
 publish = false
 license.workspace = true
 description.workspace = true
@@ -197,35 +197,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
        expect(table.getChild("d")?.toJSON()).toEqual([9n, 10n, null]);
      });

-      it("will use a provided FixedSizeList schema with typed array values", function () {
-        const schema = new Schema([
-          new Field("text", new Utf8(), false),
-          new Field(
-            "vector",
-            new FixedSizeList(3, new Field("item", new Float32(), false)),
-            false,
-          ),
-        ]);
-
-        const table = makeArrowTable(
-          [
-            {
-              text: "foo",
-              vector: new Float32Array([1, 2, 3]),
-            },
-          ],
-          { schema },
-        );
-
-        expect(table.getChild("text")?.toJSON()).toEqual(["foo"]);
-        expect(
-          table
-            .getChild("vector")
-            ?.toJSON()
-            .map((value) => value.toJSON()),
-        ).toEqual([[1, 2, 3]]);
-      });
-
      it("will assume the column `vector` is FixedSizeList<Float32> by default", async function () {
        const schema = new Schema([
          new Field("a", new Float(Precision.DOUBLE), true),
@@ -11,11 +11,8 @@ import {
  Float16,
  Float32,
  Float64,
-  Int32,
  Schema,
  Utf8,
-  fromDataToBuffer,
-  tableFromIPC,
 } from "../lancedb/arrow";
 import { EmbeddingFunction, LanceSchema } from "../lancedb/embedding";
 import { getRegistry, register } from "../lancedb/embedding/registry";
@@ -187,63 +184,6 @@ describe("embedding functions", () => {
    const vector0 = JSON.parse(JSON.stringify(arr[0].vector));
    expect(vector0).toEqual([1, 2, 3]);
  });
-
-  it("should append generated vectors to a non-nullable schema", async () => {
-    @register("non_nullable_schema_test")
-    class MockEmbeddingFunction extends EmbeddingFunction<string> {
-      ndims() {
-        return 3;
-      }
-      embeddingDataType(): Float {
-        return new Float64();
-      }
-      async computeSourceEmbeddings(data: string[]) {
-        return data.map(() => [1, 2, 3]);
-      }
-    }
-
-    const schema = new Schema([
-      new Field("id", new Int32()),
-      new Field("text", new Utf8()),
-      new Field("type", new Utf8()),
-      new Field(
-        "vector",
-        new FixedSizeList(3, new Field("item", new Float64())),
-      ),
-    ]);
-    const func = new MockEmbeddingFunction();
-    const db = await connect(tmpDir.name);
-    const table = await db.createEmptyTable("test_non_nullable", schema, {
-      embeddingFunction: {
-        function: func,
-        sourceColumn: "text",
-      },
-    });
-
-    const data = [
-      { id: 1, text: "Carrot", type: "vegetable" },
-      { id: 2, text: "Apple", type: "fruit" },
-    ];
-    const buffer = await fromDataToBuffer(
-      data,
-      undefined,
-      await table.schema(),
-    );
-    const generatedTable = tableFromIPC(buffer);
-    const vectorField = generatedTable.schema.fields.find(
-      (field) => field.name === "vector",
-    );
-    expect(vectorField?.nullable).toBe(false);
-
-    await table.add(data);
-
-    const rows = await table.query().toArray();
-    expect(rows).toHaveLength(2);
-    for (const row of rows) {
-      expect([...row.vector]).toEqual([1, 2, 3]);
-    }
-  });
-
  it("should error when appending to a table with an unregistered embedding function", async () => {
    @register("mock")
    class MockEmbeddingFunction extends EmbeddingFunction<string> {
@@ -1,14 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-import packageJson = require("../package.json");
-
-describe("package metadata", () => {
-  it("requires Node.js type declarations compatible with the runtime", () => {
-    expect(packageJson.engines.node).toBe(">= 18");
-    expect(packageJson.peerDependencies["@types/node"]).toBe(">=18");
-    expect(packageJson.peerDependenciesMeta["@types/node"]).toEqual({
-      optional: true,
-    });
-  });
-});
@@ -110,81 +110,6 @@ describe("Query outputSchema", () => {
  });
 });

-describe("Search pagination", () => {
-  let tmpDir: tmp.DirResult;
-  let table: Table;
-
-  beforeEach(async () => {
-    tmpDir = tmp.dirSync({ unsafeCleanup: true });
-    const db = await connect(tmpDir.name);
-    const schema = new Schema([
-      new Field("id", new Int64(), false),
-      new Field("text", new Utf8(), false),
-      new Field(
-        "vector",
-        new FixedSizeList(2, new Field("item", new Float32())),
-        false,
-      ),
-    ]);
-    const data = makeArrowTable(
-      [
-        { id: 1n, text: "common", vector: [0, 0] },
-        { id: 2n, text: "common common", vector: [1, 1] },
-        { id: 3n, text: "common common common", vector: [2, 2] },
-        { id: 4n, text: "common common common common", vector: [3, 3] },
-      ],
-      { schema },
-    );
-    table = await db.createTable("test", data);
-  });
-
-  afterEach(() => {
-    tmpDir.removeCallback();
-  });
-
-  it("applies offset after the vector search limit", async () => {
-    const allResults = await table
-      .vectorSearch([0, 0])
-      .select(["id"])
-      .limit(4)
-      .toArray();
-    const secondPage = await table
-      .vectorSearch([0, 0])
-      .select(["id"])
-      .limit(2)
-      .offset(2)
-      .toArray();
-
-    expect(allResults).toHaveLength(4);
-    expect(secondPage).toHaveLength(2);
-    expect(secondPage.map((row) => row.id)).toEqual(
-      allResults.slice(2, 4).map((row) => row.id),
-    );
-  });
-
-  it("applies offset after the full-text search limit", async () => {
-    await table.createIndex("text", { config: Index.fts() });
-
-    const allResults = await table
-      .search("common", "fts")
-      .select(["id"])
-      .limit(4)
-      .toArray();
-    const secondPage = await table
-      .search("common", "fts")
-      .select(["id"])
-      .limit(2)
-      .offset(2)
-      .toArray();
-
-    expect(allResults).toHaveLength(4);
-    expect(secondPage).toHaveLength(2);
-    expect(secondPage.map((row) => row.id)).toEqual(
-      allResults.slice(2, 4).map((row) => row.id),
-    );
-  });
-});
-
 describe("Query orderBy", () => {
  let tmpDir: tmp.DirResult;
  let table: Table;
@@ -170,38 +170,6 @@ describe("remote connection", () => {
    );
  });

-  it("surfaces JSON server errors from remote table operations", async () => {
-    await withMockDatabase(
-      (req, res) => {
-        const path = req.url ?? "";
-        if (path.endsWith("/describe/")) {
-          res.writeHead(200, { "Content-Type": "application/json" }).end(
-            JSON.stringify({
-              name: "broken_table",
-              version: 1,
-              schema: { fields: [] },
-            }),
-          );
-          return;
-        }
-
-        if (path.endsWith("/count_rows/")) {
-          res
-            .writeHead(400, { "Content-Type": "application/json" })
-            .end(JSON.stringify({ error: "count rows failed" }));
-          return;
-        }
-
-        res.writeHead(404).end();
-      },
-      async (db) => {
-        const table = await db.openTable("broken_table");
-
-        await expect(table.countRows()).rejects.toThrow("count rows failed");
-      },
-    );
-  });
-
  it("should pass on requested extra headers", async () => {
    await withMockDatabase(
      (req, res) => {
@@ -909,96 +877,3 @@ describe("remote connection", () => {
    });
  });
 });
-
-describe("remote connection jobs surface", () => {
-  it("lists, describes, cancels, and reads history", async () => {
-    const { tableFromArrays, tableToIPC } = await import("apache-arrow");
-    const eventsTable = tableFromArrays({ state: ["created", "succeeded"] });
-    const eventsBody = Buffer.from(tableToIPC(eventsTable, "stream"));
-
-    await withMockDatabase(
-      (req, res) => {
-        let body = "";
-        req.on("data", (chunk) => {
-          body += chunk;
-        });
-        req.on("end", () => {
-          const payload = body.length > 0 ? JSON.parse(body) : {};
-          if (req.url === "/v1/jobs/list") {
-            if (payload["page_token"] === undefined) {
-              res
-                .writeHead(200, { "Content-Type": "application/json" })
-                .end(
-                  '{"jobs": [{"job_id": "job-1", "table": "t1", ' +
-                    '"job_type": "create_index", "state": "in_progress", ' +
-                    '"created_at_millis": 1000}], "page_token": "next"}',
-                );
-            } else {
-              res
-                .writeHead(200, { "Content-Type": "application/json" })
-                .end(
-                  '{"jobs": [{"job_id": "job-2", "table": "t2", ' +
-                    '"job_type": "create_index", "state": "succeeded", ' +
-                    '"created_at_millis": 2000}]}',
-                );
-            }
-          } else if (req.url === "/v1/jobs/describe") {
-            if (payload["job_id"] !== "job-1") {
-              res.writeHead(404).end("no such job");
-              return;
-            }
-            res
-              .writeHead(200, { "Content-Type": "application/json" })
-              .end(
-                '{"job_id": "job-1", "job_type": "create_index", ' +
-                  '"job_state": "FAILED", "creation_ms": 1000, ' +
-                  '"spec": {"column": "vec"}, "failure": {"phase": "execute", ' +
-                  '"message": "worker died", "retryable": true}}',
-              );
-          } else if (req.url === "/v1/jobs/cancel") {
-            if (payload["job_id"] !== "job-1") {
-              res.writeHead(404).end("no such job");
-              return;
-            }
-            res
-              .writeHead(200, { "Content-Type": "application/json" })
-              .end('{"job_id": "job-1"}');
-          } else if (req.url === "/v1/jobs/query_events") {
-            res
-              .writeHead(200, {
-                "Content-Type": "application/vnd.apache.arrow.stream",
-              })
-              .end(eventsBody);
-          } else {
-            res.writeHead(404).end();
-          }
-        });
-      },
-      async (db) => {
-        const jobs = await db.listJobs();
-        expect(jobs.map((job) => job.jobId)).toEqual(["job-1", "job-2"]);
-        expect(jobs[0].state).toEqual("running");
-        expect(jobs[1].state).toEqual("finished");
-
-        const description = await db.getJob("job-1");
-        expect(description?.state).toEqual("failed");
-        expect(JSON.parse(description?.specJson ?? "")).toEqual({
-          column: "vec",
-        });
-        expect(description?.failure?.message).toEqual("worker died");
-        expect(await db.getJob("missing")).toBeNull();
-
-        expect(await db.cancelJob("job-1")).toBe(true);
-        expect(await db.cancelJob("missing")).toBe(false);
-
-        const history = await db.jobHistory("job-1");
-        expect(history.numRows).toEqual(2);
-
-        const job = db.job("job-1");
-        expect(job.id).toEqual("job-1");
-        expect(await job.status()).toEqual("failed");
-        await expect(job.wait()).rejects.toThrow("worker died");
-      },
-    );
-  });
-});
@@ -86,44 +86,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      await expect(table.countRows()).resolves.toBe(3);
    });

-    it("should support a foreign Float64 vector schema end to end", async () => {
-      const conn = await connect(tmpDir.name);
-      const schema = new arrow.Schema([
-        new arrow.Field("resource_id", new arrow.Int32(), false),
-        new arrow.Field(
-          "vector",
-          new arrow.FixedSizeList(
-            3,
-            new arrow.Field("value", new arrow.Float64(), true),
-          ),
-          false,
-        ),
-      ]);
-      const data = [
-        {
-          // biome-ignore lint/style/useNamingConvention: matches the reported schema
-          resource_id: 0,
-          vector: [0.1, 0.1, 0.1],
-        },
-      ];
-
-      const resources = await conn.createTable("resources", data, { schema });
-
-      const existing = await resources
-        .query()
-        .where("resource_id = 0")
-        .limit(1)
-        .toArray();
-      expect(existing).toHaveLength(1);
-
-      const matched = await resources
-        .search(Float64Array.from(data[0].vector))
-        .limit(1)
-        .toArray();
-      expect(matched).toHaveLength(1);
-      expect(matched[0]["resource_id"]).toBe(0);
-    });
-
    it("should support branches", async () => {
      await table.add([{ id: 1 }]);
      expect(await table.countRows()).toBe(1);
@@ -277,16 +239,8 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
        },
        numIndices: 0,
        numRows: 3,
-        // Full on-disk size of the two data files, footers and metadata included.
-        totalBytes: 684,
+        totalBytes: 44,
      });
-
-      // Index files count toward totalBytes too (only deletion files and
-      // manifests are excluded).
-      await table.createIndex("id", { config: Index.btree() });
-      const statsWithIndex = await table.stats();
-      expect(statsWithIndex.numIndices).toBe(1);
-      expect(statsWithIndex.totalBytes).toBeGreaterThan(684);
    });

    it("should overwrite data if asked", async () => {
@@ -897,11 +851,7 @@ describe("When creating an index", () => {
  afterEach(() => tmpDir.removeCallback());

  it("should create a vector index on vector columns", async () => {
-    const job = await tbl.createIndexAsync("vec");
-    expect(job.id).toBeNull();
-    await job.wait();
-    // Cancelling a job that already finished succeeds and does nothing.
-    await job.cancel();
+    await tbl.createIndex("vec");

    // check index directory
    const indexDir = path.join(tmpDir.name, "test.lance", "_indices");
@@ -1,7 +1,6 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

-import { tableFromIPC } from "apache-arrow";
 import {
  Data,
  SchemaLike,
@@ -21,9 +20,6 @@ import type {
  CreateNamespaceResponse,
  DescribeNamespaceResponse,
  DropNamespaceResponse,
-  Job,
-  JobDescription,
-  JobInfo,
  ListNamespacesResponse,
 } from "./native";
 export type {
@@ -440,40 +436,6 @@ export abstract class Connection {
    newName: string,
    options?: RenameTableOptions,
  ): Promise<void>;
-
-  /**
-   * A {@link Job} handle for a server-side job by id.
-   *
-   * The handle is constructed without a server round trip; an unknown id
-   * surfaces when the handle is used. Dropping the handle has no effect on
-   * the job itself.
-   */
-  abstract job(jobId: string): Job;
-
-  /** List server-side jobs across the database's tables. */
-  abstract listJobs(): Promise<JobInfo[]>;
-
-  /**
-   * Describe a single server-side job by id.
-   *
-   * Resolves to `null` when the server has no such job.
-   */
-  abstract getJob(jobId: string): Promise<JobDescription | null>;
-
-  /**
-   * Request cancellation of a server-side job by id.
-   *
-   * Resolves to true if the server accepted the cancellation, false if no
-   * such job exists. Cancelling an already-terminal job is a no-op success.
-   */
-  abstract cancelJob(jobId: string): Promise<boolean>;
-
-  /**
-   * The lifecycle event history of a server-side job, as an Arrow table.
-   *
-   * Lists history across all jobs when `jobId` is omitted.
-   */
-  abstract jobHistory(jobId?: string): Promise<ArrowTable>;
 }

 /** @hideconstructor */
@@ -760,30 +722,6 @@ export class LocalConnection extends Connection {
      options?.newNamespacePath,
    );
  }
-
-  job(jobId: string): Job {
-    return this.inner.job(jobId);
-  }
-
-  async listJobs(): Promise<JobInfo[]> {
-    return this.inner.listJobs();
-  }
-
-  async getJob(jobId: string): Promise<JobDescription | null> {
-    return this.inner.getJob(jobId);
-  }
-
-  async cancelJob(jobId: string): Promise<boolean> {
-    return this.inner.cancelJob(jobId);
-  }
-
-  async jobHistory(jobId?: string): Promise<ArrowTable> {
-    const buf = await this.inner.jobHistory(jobId);
-    if (buf.length === 0) {
-      return new ArrowTable();
-    }
-    return tableFromIPC(buf);
-  }
 }

 /**
@@ -85,13 +85,7 @@ export {
  RenameTableOptions,
 } from "./connection";

-export {
-  Job,
-  JobDescription,
-  JobFailureInfo,
-  JobInfo,
-  Session,
-} from "./native.js";
+export { Session } from "./native.js";

 export {
  ExecutableQuery,
@@ -30,7 +30,6 @@ import {
  DropColumnsResult,
  IndexConfig,
  IndexStatistics,
-  Job,
  Branches as NativeBranches,
  OptimizeStats,
  TableStatistics,
@@ -197,11 +196,7 @@ export interface LsmWriteSpec {
  column?: string;
  /** Bucket variant: the number of buckets, in `[1, 1024]`. */
  numBuckets?: number;
-  /**
-   * Indexes the MemWAL keeps up to date. Omit to maintain every supported
-   * index, resolved on install — a snapshot, so indexes created later are not
-   * maintained. Pass `[]` for none.
-   */
+  /** Names of indexes the MemWAL should keep up to date during writes. */
  maintainedIndexes?: string[];
  /** Default `ShardWriter` configuration recorded in the MemWAL index. */
  writerConfigDefaults?: Record<string, string>;
@@ -363,17 +358,6 @@ export abstract class Table {
    options?: Partial<IndexOptions>,
  ): Promise<void>;

-  /**
-   * Create an index, returning a handle to the indexing job.
-   *
-   * The job may already be complete when returned; callers must not assume
-   * the index exists until {@link Job.wait} resolves.
-   */
-  abstract createIndexAsync(
-    column: string,
-    options?: Partial<IndexOptions>,
-  ): Promise<Job>;
-
  /**
   * Drop an index from the table.
   *
@@ -599,11 +583,6 @@ export abstract class Table {
   * All variants require the table to have an unenforced primary key
   * ({@link Table#setUnenforcedPrimaryKey}); bucket sharding additionally
   * requires it to be the single column being bucketed.
-   *
-   * Omitting `maintainedIndexes` maintains every index on the table, resolved
-   * here, failing if one cannot be maintained — name them to install anyway.
-   * Naming them pins an exact set, and a still-building index is rejected
-   * rather than quietly omitted.
   * @param {LsmWriteSpec} spec The sharding spec to install.
   * @returns {Promise<void>}
   * @example
@@ -631,10 +610,9 @@ export abstract class Table {
   *
   * Resolves to `undefined` when the MemWAL LSM write path is not enabled (no
   * spec has been set, or it was removed with {@link Table#unsetLsmWriteSpec}).
-   * The returned spec mirrors what was passed to
-   * {@link Table#setLsmWriteSpec}, except that `maintainedIndexes` always
-   * reports the concrete list resolved when the spec was set — `undefined`
-   * never round-trips.
+   * The returned spec — including its `maintainedIndexes` and
+   * `writerConfigDefaults` — mirrors what was passed to
+   * {@link Table#setLsmWriteSpec}.
   * @returns {Promise<LsmWriteSpec | undefined>}
   */
  abstract getLsmWriteSpec(): Promise<LsmWriteSpec | undefined>;
@@ -962,22 +940,6 @@ export class LocalTable extends Table {
    );
  }

-  async createIndexAsync(
-    column: string,
-    options?: Partial<IndexOptions>,
-  ): Promise<Job> {
-    // biome-ignore lint/suspicious/noExplicitAny: skip
-    const nativeIndex = (options?.config as any)?.inner;
-    return await this.inner.createIndexAsync(
-      nativeIndex,
-      column,
-      options?.replace,
-      options?.waitTimeoutSeconds,
-      options?.name,
-      options?.train,
-    );
-  }
-
  async dropIndex(name: string): Promise<void> {
    await this.inner.dropIndex(name);
  }
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.37.1-beta.1",
+	"version": "0.37.1-beta.0",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.37.1-beta.1",
+	"version": "0.37.1-beta.0",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.37.1-beta.1",
+	"version": "0.37.1-beta.0",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.37.1-beta.1",
+	"version": "0.37.1-beta.0",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.37.1-beta.1",
+	"version": "0.37.1-beta.0",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",
@@ -1,6 +1,6 @@
 {
  "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.37.1-beta.1",
+  "version": "0.37.1-beta.0",
  "os": [
    "win32"
  ],
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.37.1-beta.1",
+	"version": "0.37.1-beta.0",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",
@@ -1,12 +1,12 @@
 {
  "name": "@lancedb/lancedb",
-  "version": "0.37.1-beta.1",
+  "version": "0.37.1-beta.0",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "@lancedb/lancedb",
-      "version": "0.37.1-beta.1",
+      "version": "0.37.1-beta.0",
      "cpu": [
        "x64",
        "arm64"
@@ -55,13 +55,7 @@
        "openai": "4.29.2"
      },
      "peerDependencies": {
-        "@types/node": ">=18",
        "apache-arrow": ">=15.0.0 <=18.1.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/node": {
-          "optional": true
-        }
      }
    },
    "node_modules/@aws-crypto/crc32": {
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.37.1-beta.1",
+  "version": "0.37.1-beta.0",
  "main": "dist/index.js",
  "exports": {
    ".": "./dist/index.js",
@@ -101,12 +101,6 @@
    "openai": "4.29.2"
  },
  "peerDependencies": {
-    "@types/node": ">=18",
    "apache-arrow": ">=15.0.0 <=18.1.0"
-  },
-  "peerDependenciesMeta": {
-    "@types/node": {
-      "optional": true
-    }
  }
 }
@@ -340,69 +340,6 @@ impl Connection {
        self.get_inner()?.drop_all_tables(&ns).await.default_error()
    }

-    /// A `Job` handle for a server-side job by id.
-    ///
-    /// The handle is constructed without a server round trip; an unknown id
-    /// surfaces when the handle is used.
-    #[napi]
-    pub fn job(&self, job_id: String) -> napi::Result<crate::job::Job> {
-        let job = self.get_inner()?.job(job_id).default_error()?;
-        Ok(crate::job::Job::new(job))
-    }
-
-    /// List server-side jobs across the database's tables.
-    #[napi(catch_unwind)]
-    pub async fn list_jobs(&self) -> napi::Result<Vec<crate::job::JobInfo>> {
-        let jobs = self.get_inner()?.list_jobs().await.default_error()?;
-        Ok(jobs.into_iter().map(Into::into).collect())
-    }
-
-    /// Describe a single server-side job by id. `null` when the server has
-    /// no such job.
-    #[napi(catch_unwind)]
-    pub async fn get_job(
-        &self,
-        job_id: String,
-    ) -> napi::Result<Option<crate::job::JobDescription>> {
-        let description = self.get_inner()?.get_job(&job_id).await.default_error()?;
-        Ok(description.map(Into::into))
-    }
-
-    /// Request cancellation of a server-side job by id. Returns true if the
-    /// server accepted the cancellation, false if no such job exists.
-    #[napi(catch_unwind)]
-    pub async fn cancel_job(&self, job_id: String) -> napi::Result<bool> {
-        self.get_inner()?.cancel_job(&job_id).await.default_error()
-    }
-
-    /// The lifecycle event history of a server-side job (all jobs when
-    /// `job_id` is null), as an Arrow IPC stream buffer. Empty when there is
-    /// no history.
-    #[napi(catch_unwind)]
-    pub async fn job_history(&self, job_id: Option<String>) -> napi::Result<Buffer> {
-        let batches = self
-            .get_inner()?
-            .job_history(job_id.as_deref())
-            .await
-            .default_error()?;
-        let Some(first) = batches.first() else {
-            return Ok(Buffer::from(Vec::<u8>::new()));
-        };
-        let mut out = Vec::new();
-        let mut writer = arrow_ipc::writer::StreamWriter::try_new(&mut out, &first.schema())
-            .map_err(|e| napi::Error::from_reason(e.to_string()))?;
-        for batch in &batches {
-            writer
-                .write(batch)
-                .map_err(|e| napi::Error::from_reason(e.to_string()))?;
-        }
-        writer
-            .finish()
-            .map_err(|e| napi::Error::from_reason(e.to_string()))?;
-        drop(writer);
-        Ok(Buffer::from(out))
-    }
-
    #[napi(catch_unwind)]
    /// Describe a namespace and return its properties.
    pub async fn describe_namespace(
@@ -1,123 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-use std::sync::Arc;
-
-use napi_derive::napi;
-
-use crate::error::NapiErrorExt;
-
-/// A handle to an operation that may still be running.
-#[napi]
-pub struct Job {
-    inner: Arc<lancedb::Job>,
-}
-
-impl Job {
-    pub(crate) fn new(inner: lancedb::Job) -> Self {
-        Self {
-            inner: Arc::new(inner),
-        }
-    }
-}
-
-#[napi]
-impl Job {
-    /// Identifies the operation on the server that is running it. Operations
-    /// that run in this process have no server id. The value is opaque.
-    #[napi(getter)]
-    pub fn id(&self) -> Option<String> {
-        self.inner.id().map(str::to_string)
-    }
-
-    /// The operation's current lifecycle state: "running", "finished",
-    /// "failed", or "cancelled".
-    ///
-    /// A point snapshot; unlike {@link Job.wait} it does not block or reject
-    /// on a terminal failure state. States a newer server reports that this
-    /// client version does not know pass through as-is.
-    #[napi(catch_unwind)]
-    pub async fn status(&self) -> napi::Result<String> {
-        self.inner.status().await.default_error()
-    }
-
-    /// Wait until the operation reaches a terminal state.
-    #[napi(catch_unwind)]
-    pub async fn wait(&self) -> napi::Result<()> {
-        self.inner.wait().await.default_error()
-    }
-
-    /// Request cancellation. Cancelling a finished operation is a no-op.
-    #[napi(catch_unwind)]
-    pub async fn cancel(&self) -> napi::Result<()> {
-        self.inner.cancel().await.default_error()
-    }
-}
-
-/// A row from `Connection.listJobs`: one server-side job.
-#[napi(object)]
-pub struct JobInfo {
-    /// The job id -- what `Connection.getJob` and `Connection.cancelJob`
-    /// accept.
-    pub job_id: String,
-    /// The table the job runs against, without URI or namespace.
-    pub table: String,
-    pub job_type: String,
-    /// Lifecycle state: "running", "finished", "failed", or "cancelled".
-    pub state: String,
-    /// When the job was created, in milliseconds since the epoch.
-    pub created_at_millis: i64,
-}
-
-impl From<lancedb::database::JobInfo> for JobInfo {
-    fn from(info: lancedb::database::JobInfo) -> Self {
-        Self {
-            job_id: info.job_id,
-            table: info.table,
-            job_type: info.job_type,
-            state: info.state,
-            created_at_millis: info.created_at_millis,
-        }
-    }
-}
-
-/// The server's account of why a job failed.
-#[napi(object)]
-pub struct JobFailureInfo {
-    pub phase: Option<String>,
-    pub message: Option<String>,
-    pub retryable: Option<bool>,
-}
-
-/// A described job from `Connection.getJob`.
-#[napi(object)]
-pub struct JobDescription {
-    pub job_id: String,
-    pub job_type: String,
-    /// Lifecycle state: "running", "finished", "failed", or "cancelled".
-    pub state: String,
-    /// When the job was created, in milliseconds since the epoch.
-    pub creation_ms: i64,
-    /// The job-type-specific specification as a JSON string, when present.
-    pub spec_json: Option<String>,
-    /// Why the job failed, when the job is failed and the server reports a
-    /// reason.
-    pub failure: Option<JobFailureInfo>,
-}
-
-impl From<lancedb::database::JobDescription> for JobDescription {
-    fn from(description: lancedb::database::JobDescription) -> Self {
-        Self {
-            job_id: description.job_id,
-            job_type: description.job_type,
-            state: description.state,
-            creation_ms: description.creation_ms,
-            spec_json: (!description.spec.is_null()).then(|| description.spec.to_string()),
-            failure: description.failure.map(|failure| JobFailureInfo {
-                phase: failure.phase,
-                message: failure.message,
-                retryable: failure.retryable,
-            }),
-        }
-    }
-}
@@ -11,7 +11,6 @@ mod error;
 mod header;
 mod index;
 mod iterator;
-mod job;
 pub mod merge;
 pub mod otel;
 pub mod permutation;
@@ -168,39 +168,6 @@ impl Table {
        builder.execute().await.default_error()
    }

-    #[napi(catch_unwind)]
-    pub async fn create_index_async(
-        &self,
-        index: Option<&Index>,
-        column: String,
-        replace: Option<bool>,
-        wait_timeout_s: Option<i64>,
-        name: Option<String>,
-        train: Option<bool>,
-    ) -> napi::Result<crate::job::Job> {
-        let lancedb_index = if let Some(index) = index {
-            index.consume()?
-        } else {
-            lancedb::index::Index::Auto
-        };
-        let mut builder = self.inner_ref()?.create_index(&[column], lancedb_index);
-        if let Some(replace) = replace {
-            builder = builder.replace(replace);
-        }
-        if let Some(timeout) = wait_timeout_s {
-            builder =
-                builder.wait_timeout(std::time::Duration::from_secs(timeout.try_into().unwrap()));
-        }
-        if let Some(name) = name {
-            builder = builder.name(name);
-        }
-        if let Some(train) = train {
-            builder = builder.train(train);
-        }
-        let job = builder.execute_async().await.default_error()?;
-        Ok(crate::job::Job::new(job))
-    }
-
    #[napi(catch_unwind)]
    pub async fn drop_index(&self, index_name: String) -> napi::Result<()> {
        self.inner_ref()?
@@ -339,9 +306,7 @@ impl Table {
        let transforms = NewColumnTransform::SqlExpressions(transforms);
        let res = self
            .inner_ref()?
-            .add_columns()
-            .transform(transforms)
-            .execute()
+            .add_columns(transforms, None)
            .await
            .default_error()?;
        Ok(res.into())
@@ -358,9 +323,7 @@ impl Table {
        let transforms = NewColumnTransform::AllNulls(schema);
        let res = self
            .inner_ref()?
-            .add_columns()
-            .transform(transforms)
-            .execute()
+            .add_columns(transforms, None)
            .await
            .default_error()?;
        Ok(res.into())
@@ -772,8 +735,7 @@ pub struct LsmWriteSpec {
    pub column: Option<String>,
    /// Bucket variant: the number of buckets, in `[1, 1024]`.
    pub num_buckets: Option<u32>,
-    /// Indexes the MemWAL keeps up to date. Omitted resolves every
-    /// maintainable index on install; an empty array means none.
+    /// Names of indexes the MemWAL should keep up to date during writes.
    pub maintained_indexes: Option<Vec<String>>,
    /// Default `ShardWriter` configuration recorded in the MemWAL index.
    pub writer_config_defaults: Option<HashMap<String, String>>,
@@ -783,6 +745,7 @@ impl TryFrom<LsmWriteSpec> for lancedb::table::LsmWriteSpec {
    type Error = napi::Error;

    fn try_from(value: LsmWriteSpec) -> napi::Result<Self> {
+        let maintained = value.maintained_indexes.unwrap_or_default();
        let writer_config_defaults = value.writer_config_defaults.unwrap_or_default();
        let spec = match value.spec_type.as_str() {
            "bucket" => {
@@ -809,7 +772,7 @@ impl TryFrom<LsmWriteSpec> for lancedb::table::LsmWriteSpec {
            }
        };
        Ok(spec
-            .with_maintained_indexes(value.maintained_indexes)
+            .with_maintained_indexes(maintained)
            .with_writer_config_defaults(writer_config_defaults))
    }
 }
@@ -827,7 +790,7 @@ impl From<lancedb::table::LsmWriteSpec> for LsmWriteSpec {
                spec_type: "bucket".to_string(),
                column: Some(column),
                num_buckets: Some(num_buckets),
-                maintained_indexes,
+                maintained_indexes: Some(maintained_indexes),
                writer_config_defaults: Some(writer_config_defaults),
            },
            Native::Identity {
@@ -838,7 +801,7 @@ impl From<lancedb::table::LsmWriteSpec> for LsmWriteSpec {
                spec_type: "identity".to_string(),
                column: Some(column),
                num_buckets: None,
-                maintained_indexes,
+                maintained_indexes: Some(maintained_indexes),
                writer_config_defaults: Some(writer_config_defaults),
            },
            Native::Unsharded {
@@ -848,7 +811,7 @@ impl From<lancedb::table::LsmWriteSpec> for LsmWriteSpec {
                spec_type: "unsharded".to_string(),
                column: None,
                num_buckets: None,
-                maintained_indexes,
+                maintained_indexes: Some(maintained_indexes),
                writer_config_defaults: Some(writer_config_defaults),
            },
        }
@@ -1043,10 +1006,7 @@ impl From<lancedb::index::IndexStatistics> for IndexStatistics {

 #[napi(object)]
 pub struct TableStatistics {
-    /// The total size, in bytes, of the table's data files, index files, and
-    /// overlay files
-    ///
-    /// Read from the manifest, so this excludes deletion files and manifests.
+    /// The total number of bytes in the table
    pub total_bytes: i64,

    /// The number of rows in the table
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.37.1-beta.1"
+version = "0.37.1-beta.0"
 publish = false
 edition.workspace = true
 description = "Python bindings for LanceDB"
@@ -26,7 +26,7 @@ lance-namespace-impls.workspace = true
 lance-io.workspace = true
 env_logger.workspace = true
 log.workspace = true
-pyo3 = { version = "0.28", features = ["extension-module", "abi3-py310", "chrono"] }
+pyo3 = { version = "0.28", features = ["extension-module", "abi3-py39", "chrono"] }
 chrono = { version = "0.4", default-features = false, features = ["clock"] }
 pyo3-async-runtimes = { version = "0.28", features = [
    "attributes",
@@ -43,7 +43,7 @@ libc = "0.2"
 [build-dependencies]
 pyo3-build-config = { version = "0.28", features = [
    "extension-module",
-    "abi3-py310",
+    "abi3-py39",
 ] }

 [features]
@@ -60,7 +60,7 @@ tests = [
    "pytest-asyncio>=0.21",
    "duckdb>=0.9.0",
    "pytz>=2023.3",
-    "polars>=0.19, <=1.32.3",
+    "polars>=0.19, <=1.3.0",
    "pyarrow<25",
    "pyarrow-stubs>=16.0",
    "pylance==9.0.0rc1",
@@ -140,7 +140,6 @@ include = [
    "python/lancedb/remote/errors.py",
    "python/lancedb/embeddings/__init__.py",
    "python/lancedb/_lancedb.pyi",
-    "python/type_tests/connect.py",
 ]
 exclude = ["python/tests/"]
 pythonVersion = "3.13"
@@ -20,7 +20,6 @@ from .remote import ClientConfig
 from .remote.db import RemoteDBConnection
 from .expr import Expr, col, lit, func
 from .schema import blob, vector, BlobType
-from .job import AsyncJob, Job
 from .table import AsyncTable, Table
 from .types import BaseTokenizerType
 from ._lancedb import Session
@@ -501,7 +500,6 @@ __all__ = [
    "connect_namespace",
    "connect_namespace_async",
    "AsyncConnection",
-    "AsyncJob",
    "AsyncLanceNamespaceDBConnection",
    "AsyncTable",
    "FtsToken",
@@ -515,7 +513,6 @@ __all__ = [
    "BlobType",
    "vector",
    "DBConnection",
-    "Job",
    "LanceDBConnection",
    "LanceNamespaceDBConnection",
    "RemoteDBConnection",
@@ -14,10 +14,14 @@ import pyarrow as pa
 from .expr import Expr
 from .schema import blob_v2_column_paths
 from .types import BlobMode, QueryProjection, QueryProjectionSpec
+from .util import get_uri_scheme

 if TYPE_CHECKING:
    from _typeshed import WriteableBuffer

+    from .remote.table import RemoteTable
+    from .table import AsyncTable, Table
+
 BLOB_MODE_TO_HANDLING = {
    "lazy": "blobs_descriptions",
    "bytes": "all_binary",
@@ -100,6 +104,22 @@ def validate_blob_mode(blob_mode: BlobMode) -> None:
        raise ValueError(f"blob_mode must be one of {modes}, got {blob_mode!r}")


+def supports_blob_auto_row_id(table: Table | AsyncTable | RemoteTable) -> bool:
+    """Blob auto row-id applies to native tables, not LanceDB Cloud."""
+    from .remote.table import RemoteTable
+
+    if isinstance(table, RemoteTable):
+        return False
+
+    inner = getattr(table, "_inner", None)
+    if inner is not None:
+        uri = inner.database().uri
+        if isinstance(uri, str) and get_uri_scheme(uri) == "db":
+            return False
+
+    return True
+
+
 def projection_includes_blob_column(
    projection: QueryProjection,
    blob_columns: Iterable[str],
@@ -144,14 +164,16 @@ def v2_projection_needs_row_id(


 def blob_auto_row_id_for_scan(
+    table: Table | AsyncTable | RemoteTable,
    schema: pa.Schema,
    projection: QueryProjection,
    *,
    with_row_id: bool | None,
 ) -> bool:
-    """Auto row-id only applies when the caller said nothing about row ids."""
    if with_row_id is not None:
        return False
+    if not supports_blob_auto_row_id(table):
+        return False
    return v2_projection_needs_row_id(schema, projection, with_row_id=False)


@@ -164,11 +186,6 @@ def finalize_blob_query_table(
 ) -> pa.Table:
    if user_requested_row_id or not blob_auto_row_id:
        return tbl
-    if "_rowid" not in tbl.column_names:
-        # A backend that ignores the row-id request leaves nothing to stash. Hand
-        # back the projection as-is so fetch_blobs raises the error that names the
-        # ways to supply row ids, rather than failing here about a hidden column.
-        return tbl
    return stash_auto_row_ids(tbl, blob_paths)


@@ -146,13 +146,6 @@ class Connection(object):
        start_after: Optional[str],
        limit: Optional[int],
    ) -> list[str]: ...  # Deprecated: Use list_tables instead
-    def job(self, job_id: str) -> Job: ...
-    async def list_jobs(self) -> List[JobInfo]: ...
-    async def get_job(self, job_id: str) -> Optional[JobDescription]: ...
-    async def cancel_job(self, job_id: str) -> bool: ...
-    async def job_history(
-        self, job_id: Optional[str] = None
-    ) -> List[pa.RecordBatch]: ...
    async def create_table(
        self,
        name: str,
@@ -216,47 +209,6 @@ class BlobFile:
    def read_range(self, offset: int, length: int) -> bytes: ...
    def read_up_to(self, length: int) -> bytes: ...

-class Job:
-    @property
-    def id(self) -> Optional[str]: ...
-    async def status(self) -> str: ...
-    async def wait(self) -> None: ...
-    async def cancel(self) -> None: ...
-
-class JobInfo:
-    @property
-    def job_id(self) -> str: ...
-    @property
-    def table(self) -> str: ...
-    @property
-    def job_type(self) -> str: ...
-    @property
-    def state(self) -> str: ...
-    @property
-    def created_at_millis(self) -> int: ...
-
-class JobFailureInfo:
-    @property
-    def phase(self) -> Optional[str]: ...
-    @property
-    def message(self) -> Optional[str]: ...
-    @property
-    def retryable(self) -> Optional[bool]: ...
-
-class JobDescription:
-    @property
-    def job_id(self) -> str: ...
-    @property
-    def job_type(self) -> str: ...
-    @property
-    def state(self) -> str: ...
-    @property
-    def creation_ms(self) -> int: ...
-    @property
-    def spec_json(self) -> Optional[str]: ...
-    @property
-    def failure(self) -> Optional[JobFailureInfo]: ...
-
 class Table:
    def name(self) -> str: ...
    def __repr__(self) -> str: ...
@@ -296,28 +248,6 @@ class Table:
        name: Optional[str],
        train: Optional[bool],
    ): ...
-    async def create_index_async(
-        self,
-        column: str,
-        index: Union[
-            IvfFlat,
-            IvfSq,
-            IvfPq,
-            HnswPq,
-            HnswSq,
-            HnswFlat,
-            BTree,
-            Bitmap,
-            LabelList,
-            Fm,
-            FTS,
-        ],
-        replace: Optional[bool],
-        wait_timeout: Optional[object],
-        *,
-        name: Optional[str],
-        train: Optional[bool],
-    ) -> Job: ...
    async def list_versions(self) -> List[Dict[str, Any]]: ...
    async def version(self) -> int: ...
    async def checkout(self, version: Union[int, str]): ...
@@ -355,10 +285,6 @@ class Table:
    async def set_lsm_write_spec(self, spec: LsmWriteSpec) -> None: ...
    async def unset_lsm_write_spec(self) -> None: ...
    async def get_lsm_write_spec(self) -> Optional[LsmWriteSpec]: ...
-    async def checkpoint_lsm(self) -> None: ...
-    async def flush_lsm(self) -> None: ...
-    async def compact_lsm(self) -> None: ...
-    async def get_lsm_stats(self, include_generation_rows: bool) -> Optional[dict]: ...
    async def close_lsm_writers(self) -> None: ...
    @property
    def tags(self) -> Tags: ...
@@ -653,10 +579,9 @@ class LsmWriteSpec:
    def identity(column: str) -> "LsmWriteSpec": ...
    @staticmethod
    def unsharded() -> "LsmWriteSpec": ...
-    def with_maintained_indexes(self, indexes: Optional[List[str]]) -> "LsmWriteSpec":
-        """Set which indexes the MemWAL keeps up to date. None resolves every
-        index on the table at install, failing if one cannot be maintained;
-        a list is verbatim, empty means none."""
+    def with_maintained_indexes(self, indexes: List[str]) -> "LsmWriteSpec":
+        """Return a copy of this spec asking the MemWAL to keep the named
+        indexes up to date as rows are appended."""
        ...
    def with_writer_config_defaults(self, defaults: Dict[str, str]) -> "LsmWriteSpec":
        """Return a copy of this spec recording the given default
@@ -671,9 +596,7 @@ class LsmWriteSpec:
    @property
    def num_buckets(self) -> Optional[int]: ...
    @property
-    def maintained_indexes(self) -> Optional[List[str]]:
-        """Indexes the MemWAL keeps up to date, or None for every supported one."""
-        ...
+    def maintained_indexes(self) -> List[str]: ...
    @property
    def writer_config_defaults(self) -> Dict[str, str]: ...

@@ -45,7 +45,6 @@ from lance_namespace.errors import NamespaceNotEmptyError, TableNotFoundError

 from . import __version__
 from ._lancedb import connect as lancedb_connect  # type: ignore
-from .job import AsyncJob, Job
 from .table import (
    AsyncTable,
    LanceTable,
@@ -64,7 +63,6 @@ if TYPE_CHECKING:
    from .pydantic import LanceModel

    from ._lancedb import Connection as LanceDbConnection
-    from ._lancedb import JobDescription, JobInfo
    from .common import DATA, URI
    from .embeddings import EmbeddingFunctionConfig
    from ._lancedb import Session
@@ -180,51 +178,6 @@ class DBConnection(EnforceOverrides):
            "Namespace operations are not supported for this connection type"
        )

-    def namespace_exists(self, namespace_id: List[str]) -> bool:
-        """Check if a namespace exists.
-
-        Parameters
-        ----------
-        namespace_id: List[str]
-            The namespace identifier to check.
-
-        Returns
-        -------
-        bool
-            True if the namespace exists, False otherwise.
-
-        Raises
-        ------
-        NotImplementedError
-            If the connection type does not support namespace operations.
-        """
-        raise NotImplementedError(
-            "Namespace operations are not supported for this connection type"
-        )
-
-    def table_exists(self, table_id: List[str]) -> bool:
-        """Check if a table exists.
-
-        Parameters
-        ----------
-        table_id: List[str]
-            The table identifier to check (full path including namespace
-            segments and table name).
-
-        Returns
-        -------
-        bool
-            True if the table exists, False otherwise.
-
-        Raises
-        ------
-        NotImplementedError
-            If the connection type does not support namespace operations.
-        """
-        raise NotImplementedError(
-            "Namespace operations are not supported for this connection type"
-        )
-
    def list_tables(
        self,
        namespace_path: Optional[List[str]] = None,
@@ -610,46 +563,6 @@ class DBConnection(EnforceOverrides):
        """
        raise NotImplementedError("serialize is not supported for this connection type")

-    def job(self, job_id: str) -> Job:
-        """A [Job][lancedb.job.Job] handle for a server-side job by id.
-
-        The handle is constructed without a server round trip; an unknown id
-        surfaces when the handle is used. Dropping the handle has no effect
-        on the job itself.
-        """
-        raise NotImplementedError("job is not supported for this connection type")
-
-    def list_jobs(self) -> List[JobInfo]:
-        """List server-side jobs across the database's tables."""
-        raise NotImplementedError("list_jobs is not supported for this connection type")
-
-    def get_job(self, job_id: str) -> Optional[JobDescription]:
-        """Describe a single server-side job by id.
-
-        Returns None when the server has no such job.
-        """
-        raise NotImplementedError("get_job is not supported for this connection type")
-
-    def cancel_job(self, job_id: str) -> bool:
-        """Request cancellation of a server-side job by id.
-
-        Returns True if the server accepted the cancellation, False if no
-        such job exists. Cancelling an already-terminal job is a no-op
-        success.
-        """
-        raise NotImplementedError(
-            "cancel_job is not supported for this connection type"
-        )
-
-    def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
-        """The lifecycle event history of a server-side job, as Arrow batches.
-
-        Lists history across all jobs when `job_id` is None.
-        """
-        raise NotImplementedError(
-            "job_history is not supported for this connection type"
-        )
-

 class LanceDBConnection(DBConnection):
    """
@@ -707,9 +620,6 @@ class LanceDBConnection(DBConnection):
        self._namespace_client_properties = namespace_client_properties
        if _inner is not None:
            self._conn = _inner
-            # Native-derived wrappers resolve this in their async reconstruction
-            # path so construction never synchronously re-enters LOOP.
-            self._read_consistency_interval = read_consistency_interval
            self._cached_namespace_client = None
            return

@@ -759,14 +669,11 @@ class LanceDBConnection(DBConnection):
        # storage_options.  Also, this class really shouldn't be holding any state
        # beyond _conn.
        self._conn = AsyncConnection(LOOP.run(do_connect()))
-        # Keep property access synchronous so debugger introspection cannot wait on
-        # the background loop while that thread is suspended at a breakpoint.
-        self._read_consistency_interval = read_consistency_interval
        self._cached_namespace_client: Optional[LanceNamespace] = None

    @property
    def read_consistency_interval(self) -> Optional[timedelta]:
-        return self._read_consistency_interval
+        return LOOP.run(self._conn.get_read_consistency_interval())

    @property
    def session(self) -> Optional[Session]:
@@ -777,19 +684,15 @@ class LanceDBConnection(DBConnection):
        return self._conn.uri

    @classmethod
-    def from_inner(
-        cls,
-        inner: LanceDbConnection,
-        read_consistency_interval: Optional[timedelta],
-    ):
-        return cls(
-            None,
-            read_consistency_interval=read_consistency_interval,
-            _inner=inner,
-        )
+    def from_inner(cls, inner: LanceDbConnection):
+        return cls(None, _inner=inner)

    def __repr__(self) -> str:
-        return f"{self.__class__.__name__}(uri={self._conn.uri!r})"
+        val = f"{self.__class__.__name__}(uri={self._conn.uri!r}"
+        if self.read_consistency_interval is not None:
+            val += f", read_consistency_interval={repr(self.read_consistency_interval)}"
+        val += ")"
+        return val

    @override
    def serialize(self) -> str:
@@ -1226,47 +1129,6 @@ class LanceDBConnection(DBConnection):
            )
        )

-    @override
-    def job(self, job_id: str) -> Job:
-        """A [Job][lancedb.job.Job] handle for a server-side job by id.
-
-        The handle is constructed without a server round trip; an unknown id
-        surfaces when the handle is used. Dropping the handle has no effect
-        on the job itself.
-        """
-        return Job(self._conn.job(job_id))
-
-    @override
-    def list_jobs(self) -> List[JobInfo]:
-        """List server-side jobs across the database's tables."""
-        return LOOP.run(self._conn.list_jobs())
-
-    @override
-    def get_job(self, job_id: str) -> Optional[JobDescription]:
-        """Describe a single server-side job by id.
-
-        Returns None when the server has no such job.
-        """
-        return LOOP.run(self._conn.get_job(job_id))
-
-    @override
-    def cancel_job(self, job_id: str) -> bool:
-        """Request cancellation of a server-side job by id.
-
-        Returns True if the server accepted the cancellation, False if no
-        such job exists. Cancelling an already-terminal job is a no-op
-        success.
-        """
-        return LOOP.run(self._conn.cancel_job(job_id))
-
-    @override
-    def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
-        """The lifecycle event history of a server-side job, as Arrow batches.
-
-        Lists history across all jobs when `job_id` is None.
-        """
-        return LOOP.run(self._conn.job_history(job_id))
-
    @override
    def namespace_client(self) -> LanceNamespace:
        """Get the equivalent namespace client for this connection.
@@ -1976,43 +1838,6 @@ class AsyncConnection(object):
            namespace_path = []
        await self._inner.drop_all_tables(namespace_path=namespace_path)

-    def job(self, job_id: str) -> AsyncJob:
-        """An [AsyncJob][lancedb.job.AsyncJob] handle for a server-side job
-        by id.
-
-        The handle is constructed without a server round trip; an unknown id
-        surfaces when the handle is used. Dropping the handle has no effect
-        on the job itself.
-        """
-        return AsyncJob(self._inner.job(job_id))
-
-    async def list_jobs(self) -> List[JobInfo]:
-        """List server-side jobs across the database's tables."""
-        return await self._inner.list_jobs()
-
-    async def get_job(self, job_id: str) -> Optional[JobDescription]:
-        """Describe a single server-side job by id.
-
-        Returns None when the server has no such job.
-        """
-        return await self._inner.get_job(job_id)
-
-    async def cancel_job(self, job_id: str) -> bool:
-        """Request cancellation of a server-side job by id.
-
-        Returns True if the server accepted the cancellation, False if no
-        such job exists. Cancelling an already-terminal job is a no-op
-        success.
-        """
-        return await self._inner.cancel_job(job_id)
-
-    async def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
-        """The lifecycle event history of a server-side job, as Arrow batches.
-
-        Lists history across all jobs when `job_id` is None.
-        """
-        return await self._inner.job_history(job_id)
-
    async def namespace_client(self) -> LanceNamespace:
        """Get the equivalent namespace client for this connection.

@@ -101,7 +101,8 @@ class InstructorEmbeddingFunction(TextEmbeddingFunction):

    @weak_lru(maxsize=1)
    def ndims(self):
-        return len(self.generate_embeddings([[self.source_instruction, "foo"]])[0])
+        model = self.get_model()
+        return model.encode("foo").shape[0]

    def compute_query_embeddings(self, query: str, *args, **kwargs) -> List[np.array]:
        return self.generate_embeddings([[self.query_instruction, query]])
@@ -87,13 +87,12 @@ class JinaEmbeddings(EmbeddingFunction):
        if isinstance(image, bytes):
            image_dict = {"image": base64.b64encode(image).decode("utf-8")}
        elif isinstance(image, (str, Path)):
-            parsed = urlparse(str(image))
+            parsed = urlparse.urlparse(image)
+            # TODO handle drive letter on windows.
            PIL_Image = attempt_import_or_raise("PIL.Image", "pillow")
            if parsed.scheme == "file":
                pil_image = PIL_Image.open(parsed.path)
-            elif parsed.scheme == "" or (os.name == "nt" and len(parsed.scheme) == 1):
-                # A Windows drive letter parses as a one-character scheme
-                # ("C:\\img.png" -> scheme="c"), so treat it as a local path.
+            elif parsed.scheme == "":
                pil_image = PIL_Image.open(image if os.name == "nt" else parsed.path)
            elif parsed.scheme.startswith("http"):
                pil_image = PIL_Image.open(io.BytesIO(url_retrieve(image)))
@@ -23,15 +23,3 @@ class MissingColumnError(KeyError):
        return (
            f"Error: Column '{self.column_name}' does not exist in the DataFrame object"
        )
-
-
-class JobFailedError(RuntimeError):
-    """Exception raised when an asynchronous job reaches the failed state."""
-
-    pass
-
-
-class JobCancelledError(RuntimeError):
-    """Exception raised when an asynchronous job was cancelled."""
-
-    pass
@@ -1,105 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-"""Handles to operations a server may run asynchronously."""
-
-import asyncio
-from datetime import timedelta
-from typing import Optional
-
-from lancedb.background_loop import LOOP
-
-from . import _lancedb
-
-
-class AsyncJob:
-    """A handle to an operation that may still be running.
-
-    The operation may already be complete when the handle is created.
-    """
-
-    def __init__(self, inner: Optional["_lancedb.Job"]):
-        self._inner = inner
-
-    @property
-    def id(self) -> Optional[str]:
-        """Identifies the operation on the server that is running it.
-
-        Returned for correlating with server logs or the jobs API. Operations
-        that run in this process have no server id and return `None`. The value
-        is opaque: parsing it or storing it to resume the job later is not
-        supported.
-        """
-        return self._inner.id if self._inner is not None else None
-
-    async def status(self) -> str:
-        """The operation's current lifecycle state: "running", "finished",
-        "failed", or "cancelled".
-
-        A point snapshot; unlike `wait` it does not block or raise on a
-        terminal failure state. States a newer server reports that this
-        client version does not know pass through as-is.
-        """
-        if self._inner is None:
-            return "finished"
-        return await self._inner.status()
-
-    async def wait(self, timeout: Optional[timedelta] = None):
-        """Wait until the operation reaches a terminal state.
-
-        Raises `JobFailedError` if the operation failed, `JobCancelledError`
-        if it was cancelled, and `TimeoutError` if `timeout` elapses first.
-        """
-        if self._inner is None:
-            return
-        if timeout is None:
-            await self._inner.wait()
-        else:
-            await asyncio.wait_for(self._inner.wait(), timeout.total_seconds())
-
-    async def cancel(self):
-        """Request cancellation. Cancelling a finished operation is a no-op."""
-        if self._inner is None:
-            return
-        await self._inner.cancel()
-
-
-class Job:
-    """Synchronous counterpart of `AsyncJob`."""
-
-    def __init__(self, inner: Optional[AsyncJob]):
-        self._inner = inner
-
-    @property
-    def id(self) -> Optional[str]:
-        """Identifies the operation on the server that is running it.
-
-        See :attr:`AsyncJob.id`.
-        """
-        return self._inner.id if self._inner is not None else None
-
-    def status(self) -> str:
-        """The operation's current lifecycle state: "running", "finished",
-        "failed", or "cancelled".
-
-        See :meth:`AsyncJob.status`.
-        """
-        if self._inner is None:
-            return "finished"
-        return LOOP.run(self._inner.status())
-
-    def wait(self, timeout: Optional[timedelta] = None):
-        """Block until the operation reaches a terminal state.
-
-        Raises `JobFailedError` if the operation failed, `JobCancelledError`
-        if it was cancelled, and `TimeoutError` if `timeout` elapses first.
-        """
-        if self._inner is None:
-            return
-        LOOP.run(self._inner.wait(timeout))
-
-    def cancel(self):
-        """Request cancellation. Cancelling a finished operation is a no-op."""
-        if self._inner is None:
-            return
-        LOOP.run(self._inner.cancel())
@@ -92,10 +92,8 @@ class LanceMergeInsertBuilder(object):
        self._when_not_matched_by_source_delete = True
        if isinstance(condition, Expr):
            self._when_not_matched_by_source_condition_expr = condition._inner
-            self._when_not_matched_by_source_condition = None
-        else:
+        elif condition is not None:
            self._when_not_matched_by_source_condition = condition
-            self._when_not_matched_by_source_condition_expr = None
        return self

    def use_index(self, use_index: bool) -> LanceMergeInsertBuilder:
@@ -38,11 +38,7 @@ from lance_namespace_urllib3_client.models.query_table_request_vector import (
    QueryTableRequestVector,
 )
 from lance_namespace_urllib3_client.models.string_fts_query import StringFtsQuery
-from lance_namespace.errors import (
-    NamespaceNotEmptyError,
-    NamespaceNotFoundError,
-    TableNotFoundError,
-)
+from lance_namespace.errors import NamespaceNotEmptyError, TableNotFoundError
 from lancedb._lancedb import (
    connect_namespace as _connect_namespace,
    connect_namespace_client as _connect_namespace_client,
@@ -57,8 +53,6 @@ from lance_namespace import (
    DropNamespaceResponse,
    ListNamespacesResponse,
    ListTablesResponse,
-    NamespaceExistsRequest,
-    TableExistsRequest,
 )
 from lancedb.table import AsyncTable, LanceTable, Table
 from lancedb.util import validate_table_name
@@ -786,51 +780,6 @@ class LanceNamespaceDBConnection(DBConnection):
        """
        return LOOP.run(self._inner.describe_namespace(namespace_path))

-    @override
-    def namespace_exists(self, namespace_id: List[str]) -> bool:
-        """
-        Check if a namespace exists.
-
-        Parameters
-        ----------
-        namespace_id : List[str]
-            The namespace identifier to check.
-
-        Returns
-        -------
-        bool
-            True if the namespace exists, False otherwise.
-        """
-        request = NamespaceExistsRequest(id=namespace_id)
-        try:
-            self._namespace_client.namespace_exists(request)
-            return True
-        except NamespaceNotFoundError:
-            return False
-
-    @override
-    def table_exists(self, table_id: List[str]) -> bool:
-        """
-        Check if a table exists.
-
-        Parameters
-        ----------
-        table_id : List[str]
-            The table identifier to check (full path including namespace
-            segments and table name).
-
-        Returns
-        -------
-        bool
-            True if the table exists, False otherwise.
-        """
-        request = TableExistsRequest(id=table_id)
-        try:
-            self._namespace_client.table_exists(request)
-            return True
-        except TableNotFoundError:
-            return False
-
    @override
    def list_tables(
        self,
@@ -1284,49 +1233,6 @@ class AsyncLanceNamespaceDBConnection:
        """
        return await self._inner.describe_namespace(namespace_path)

-    async def namespace_exists(self, namespace_id: List[str]) -> bool:
-        """
-        Check if a namespace exists.
-
-        Parameters
-        ----------
-        namespace_id : List[str]
-            The namespace identifier to check.
-
-        Returns
-        -------
-        bool
-            True if the namespace exists, False otherwise.
-        """
-        request = NamespaceExistsRequest(id=namespace_id)
-        try:
-            self._namespace_client.namespace_exists(request)
-            return True
-        except NamespaceNotFoundError:
-            return False
-
-    async def table_exists(self, table_id: List[str]) -> bool:
-        """
-        Check if a table exists.
-
-        Parameters
-        ----------
-        table_id : List[str]
-            The table identifier to check (full path including namespace
-            segments and table name).
-
-        Returns
-        -------
-        bool
-            True if the table exists, False otherwise.
-        """
-        request = TableExistsRequest(id=table_id)
-        try:
-            self._namespace_client.table_exists(request)
-            return True
-        except TableNotFoundError:
-            return False
-
    async def list_tables(
        self,
        namespace_path: Optional[List[str]] = None,
@@ -226,7 +226,7 @@ class PermutationBuilder:

        async def do_execute():
            inner_tbl = await self._async.execute()
-            return await LanceTable.from_inner(inner_tbl)
+            return LanceTable.from_inner(inner_tbl)

        return LOOP.run(do_execute())

@@ -1 +0,0 @@
-
@@ -153,16 +153,6 @@ def Vector(
    return FixedSizeList


-def _raise_bare_vector_error(*_args):
-    raise TypeError("Vector must be parameterized with a dimension, e.g. Vector(128).")
-
-
-# Pydantic v1 and v2 otherwise treat the bare Vector factory as a field validator
-# and inspect its signature, which produces misleading errors about internal types.
-setattr(Vector, "__get_validators__", _raise_bare_vector_error)
-setattr(Vector, "__get_pydantic_core_schema__", _raise_bare_vector_error)
-
-
 def MultiVector(
    dim: int, value_type: pa.DataType = pa.float32(), nullable: bool = True
 ) -> Type:
@@ -52,6 +52,7 @@ from ._blob import (
    finalize_blob_query_table,
    replace_v2_blob_columns_with_bytes,
    replace_v2_blob_columns_with_bytes_sync,
+    supports_blob_auto_row_id,
    validate_blob_mode,
 )
 from .types import BlobMode, QueryProjection
@@ -1279,7 +1280,10 @@ class LanceQueryBuilder(ABC):
        return self._with_row_id is True

    def _blob_auto_row_id_enabled(self) -> bool:
+        if not supports_blob_auto_row_id(self._table):
+            return False
        return blob_auto_row_id_for_scan(
+            self._table,
            self._table.schema,
            self._columns,
            with_row_id=self._with_row_id,
@@ -2697,7 +2701,7 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
            self._fts_query.phrase_query(True)
        if self._distance_type:
            self._vector_query.metric(self._distance_type)
-        if self._minimum_nprobes is not None:
+        if self._minimum_nprobes:
            self._vector_query.minimum_nprobes(self._minimum_nprobes)
        if self._maximum_nprobes is not None:
            self._vector_query.maximum_nprobes(self._maximum_nprobes)
@@ -2770,7 +2774,7 @@ class AsyncQueryBase(object):
        )

    async def _maybe_add_blob_row_id(self) -> None:
-        if self._table is None:
+        if self._table is None or not supports_blob_auto_row_id(self._table):
            self._blob_auto_row_id = False
            self._blob_paths = ()
            return
@@ -2778,6 +2782,7 @@ class AsyncQueryBase(object):
        req = self._inner.to_query_request()
        schema = await self._table.schema()
        self._blob_auto_row_id = blob_auto_row_id_for_scan(
+            self._table,
            schema,
            req.select,
            with_row_id=self._with_row_id,
@@ -3029,6 +3034,7 @@ class AsyncQueryBase(object):

        schema = await self._table.schema()
        blob_auto_row_id = blob_auto_row_id_for_scan(
+            self._table,
            schema,
            query.columns,
            with_row_id=self._with_row_id,
@@ -3874,9 +3880,10 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):
        req = fts_query._inner.to_query_request()
        blob_auto_row_id = False
        blob_paths: tuple[str, ...] = ()
-        if self._table is not None:
+        if self._table is not None and supports_blob_auto_row_id(self._table):
            schema = await self._table.schema()
            blob_auto_row_id = blob_auto_row_id_for_scan(
+                self._table,
                schema,
                req.select,
                with_row_id=self._with_row_id,
@@ -7,7 +7,7 @@ import json
 import logging
 from concurrent.futures import ThreadPoolExecutor
 import sys
-from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union
+from typing import Any, Dict, Iterable, List, Optional, Union
 from urllib.parse import urlparse
 import warnings

@@ -23,10 +23,6 @@ import pyarrow as pa

 from ..common import DATA
 from ..db import DBConnection, LOOP
-from ..job import Job
-
-if TYPE_CHECKING:
-    from .._lancedb import JobDescription, JobInfo
 from ..embeddings import EmbeddingFunctionConfig
 from lance_namespace import (
    LanceNamespace,
@@ -419,11 +415,6 @@ class RemoteDBConnection(DBConnection):

        if namespace_path is None:
            namespace_path = []
-        if storage_options is not None:
-            logging.info(
-                "storage_options is ignored in LanceDb Cloud"
-                " (storage is managed; set storage_options on connect() instead)"
-            )
        if index_cache_size is not None:
            logging.info(
                "index_cache_size is ignored in LanceDb Cloud"
@@ -693,47 +684,6 @@ class RemoteDBConnection(DBConnection):
            )
        )

-    @override
-    def job(self, job_id: str) -> Job:
-        """A [Job][lancedb.job.Job] handle for a server-side job by id.
-
-        The handle is constructed without a server round trip; an unknown id
-        surfaces when the handle is used. Dropping the handle has no effect
-        on the job itself.
-        """
-        return Job(self._conn.job(job_id))
-
-    @override
-    def list_jobs(self) -> List["JobInfo"]:
-        """List server-side jobs across the database's tables."""
-        return LOOP.run(self._conn.list_jobs())
-
-    @override
-    def get_job(self, job_id: str) -> Optional["JobDescription"]:
-        """Describe a single server-side job by id.
-
-        Returns None when the server has no such job.
-        """
-        return LOOP.run(self._conn.get_job(job_id))
-
-    @override
-    def cancel_job(self, job_id: str) -> bool:
-        """Request cancellation of a server-side job by id.
-
-        Returns True if the server accepted the cancellation, False if no
-        such job exists. Cancelling an already-terminal job is a no-op
-        success.
-        """
-        return LOOP.run(self._conn.cancel_job(job_id))
-
-    @override
-    def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
-        """The lifecycle event history of a server-side job, as Arrow batches.
-
-        Lists history across all jobs when `job_id` is None.
-        """
-        return LOOP.run(self._conn.job_history(job_id))
-
    @override
    def namespace_client(self) -> LanceNamespace:
        """Get the equivalent namespace client for this connection.
@@ -20,7 +20,6 @@ from typing import (
 import warnings

 from lancedb import __version__
-from lancedb._blob import BlobFile

 from lancedb._lancedb import (
    AddColumnsResult,
@@ -48,7 +47,6 @@ from lancedb.index import (
    IvfSq,
    LabelList,
 )
-from lancedb.job import Job
 from lancedb.remote.db import LOOP
 from lancedb.table import IndexConfigType, KNOWN_METRICS
 import pyarrow as pa
@@ -542,34 +540,6 @@ class RemoteTable(Table):
            )
        )

-    def create_index_async(
-        self,
-        column: str,
-        *,
-        config: IndexConfigType,
-        replace: Optional[bool] = None,
-        wait_timeout: Optional[timedelta] = None,
-        name: Optional[str] = None,
-        train: bool = True,
-    ) -> Job:
-        """Create an index, returning a handle to the indexing job.
-
-        The job may already be complete when returned; callers must not assume
-        the index exists until :meth:`Job.wait` returns.
-        """
-        return Job(
-            LOOP.run(
-                self._table.create_index_async(
-                    column,
-                    replace=replace,
-                    config=config,
-                    wait_timeout=wait_timeout,
-                    name=name,
-                    train=train,
-                )
-            )
-        )
-
    def _is_legacy_create_index_call(
        self,
        first_arg: str,
@@ -1069,22 +1039,22 @@ class RemoteTable(Table):
        )

    def blob_columns(self) -> list[str]:
-        return LOOP.run(self._table.blob_columns())
+        raise NotImplementedError(
+            "blob_columns() is not yet supported on the LanceDB Cloud"
+        )

-    def fetch_blobs(
-        self, column: str, row_ids: Union[list[int], pa.Table]
-    ) -> pa.LargeBinaryArray:
-        return LOOP.run(self._table.fetch_blobs(column, row_ids))
+    def fetch_blobs(self, column: str, row_ids) -> pa.LargeBinaryArray:
+        raise NotImplementedError("fetch_blobs() is not supported on LanceDB Cloud")

    def fetch_blob_ranges(self, column: str, requests) -> pa.LargeBinaryArray:
        raise NotImplementedError(
            "fetch_blob_ranges() is not supported on LanceDB Cloud"
        )

-    def fetch_blob_files(
-        self, column: str, row_ids: Union[list[int], pa.Table]
-    ) -> "list[Optional[BlobFile]]":
-        return LOOP.run(self._table.fetch_blob_files(column, row_ids))
+    def fetch_blob_files(self, column: str, row_ids):
+        raise NotImplementedError(
+            "fetch_blob_files() is not supported on LanceDB Cloud"
+        )

    def head(self, n=5) -> pa.Table:
        """
@@ -40,7 +40,6 @@ from ._blob import (
 from .types import BlobMode
 from lancedb.arrow import peek_reader
 from lancedb.background_loop import LOOP, embedding_executor
-from lancedb.job import AsyncJob, Job
 from .dependencies import (
    _check_for_hugging_face,
    _check_for_lance,
@@ -108,11 +107,6 @@ def _should_push_down_query_table(
    return namespace_client is not None and "QueryTable" in pushdown_operations


-def _polars_predicate_pushdown_barrier(frame: Any) -> Any:
-    """Return a Polars frame unchanged while blocking predicate pushdown."""
-    return frame
-
-
 _MODEL_BACKED_TOKENIZER_PREFIXES = ("jieba", "lindera")
 _MODEL_BACKED_TOKENIZER_ERRORS = (
    "unknown base tokenizer",
@@ -869,18 +863,12 @@ class Table(ABC):
        """
        raise NotImplementedError

-    def to_polars(self, **kwargs) -> "pl.LazyFrame":
-        """Return the table as a Polars LazyFrame.
-
-        Note
-        ----
-        The Polars streaming engine is not supported because it does not currently
-        implement Python PyArrow dataset scans. Use the default engine when collecting
-        this LazyFrame.
+    def to_polars(self, **kwargs) -> "pl.DataFrame":
+        """Return the table as a polars.DataFrame.

        Returns
        -------
-        polars.LazyFrame
+        polars.DataFrame
        """
        raise NotImplementedError

@@ -989,24 +977,6 @@ class Table(ABC):
        """
        raise NotImplementedError

-    def create_index_async(
-        self,
-        column: str,
-        *,
-        config: IndexConfigType,
-        replace: Optional[bool] = None,
-        wait_timeout: Optional[timedelta] = None,
-        name: Optional[str] = None,
-        train: bool = True,
-    ) -> Job:
-        """Create an index, returning a handle to the indexing job.
-
-        Takes the same arguments as :meth:`create_index`. The job may already
-        be complete when returned; callers must not assume the index exists
-        until :meth:`Job.wait` returns.
-        """
-        raise NotImplementedError
-
    def drop_index(self, name: str) -> None:
        """
        Drop an index from the table.
@@ -1604,10 +1574,8 @@ class Table(ABC):
        """Open lazy, seekable :class:`~lancedb._blob.BlobFile` handles.

        Prefer this over :meth:`fetch_blobs` for large payloads. ``row_ids`` is
-        a ``list[int]`` or a query ``pyarrow.Table`` carrying row identity via
-        ``_rowid`` or a ``_lance_row_id`` field on the blob descriptor. Null
-        rows are ``None``. Remote tables require LanceDB Cloud server 0.5.0 or
-        newer.
+        a ``list[int]`` or query ``pyarrow.Table`` with ``_rowid`` (or stashed
+        row-id metadata). Null rows are ``None``. Local tables only.
        """

    @abstractmethod
@@ -2193,15 +2161,11 @@ class LanceTable(Table):
        return self.name

    @classmethod
-    async def from_inner(cls, tbl: LanceDBTable):
-        from .db import AsyncConnection, LanceDBConnection
+    def from_inner(cls, tbl: LanceDBTable):
+        from .db import LanceDBConnection

        async_tbl = AsyncTable(tbl)
-        inner_conn = tbl.database()
-        read_consistency_interval = await AsyncConnection(
-            inner_conn
-        ).get_read_consistency_interval()
-        conn = LanceDBConnection.from_inner(inner_conn, read_consistency_interval)
+        conn = LanceDBConnection.from_inner(tbl.database())
        return cls(
            conn,
            async_tbl.name,
@@ -2505,7 +2469,13 @@ class LanceTable(Table):
        return LOOP.run(self._table.count_rows(filter))

    def __repr__(self) -> str:
-        return f"{self.__class__.__name__}(name={self.name!r}, _conn={self._conn!r})"
+        val = f"{self.__class__.__name__}(name={self.name!r}"
+        if self._conn.read_consistency_interval is not None:
+            val += ", read_consistency_interval={!r}".format(
+                self._conn.read_consistency_interval
+            )
+        val += f", _conn={self._conn!r})"
+        return val

    def __str__(self) -> str:
        return self.__repr__()
@@ -2580,9 +2550,6 @@ class LanceTable(Table):
        2. Currently we've disabled push-down of the filters from polars
           because polars pushdown into pyarrow uses pyarrow compute
           expressions rather than SQl strings (which LanceDB supports)
-        3. The Polars streaming engine is not supported because it does not
-           currently implement Python PyArrow dataset scans. Use the default
-           engine when collecting this LazyFrame.

        Returns
        -------
@@ -2591,12 +2558,8 @@ class LanceTable(Table):
        from lancedb.integrations.pyarrow import PyarrowDatasetAdapter

        dataset = PyarrowDatasetAdapter(self)
-        # Polars 1.32's non-PyArrow callback path passes batch_size twice.  Keep
-        # the compatible PyArrow path, but block predicates because this adapter
-        # cannot translate PyArrow expressions into LanceDB filters.
-        return pl.scan_pyarrow_dataset(dataset, batch_size=batch_size).map_batches(
-            _polars_predicate_pushdown_barrier,
-            predicate_pushdown=False,
+        return pl.scan_pyarrow_dataset(
+            dataset, allow_pyarrow_filter=False, batch_size=batch_size
        )

    # New unified API overload
@@ -2821,34 +2784,6 @@ class LanceTable(Table):
            )
        )

-    def create_index_async(
-        self,
-        column: str,
-        *,
-        config: IndexConfigType,
-        replace: Optional[bool] = None,
-        wait_timeout: Optional[timedelta] = None,
-        name: Optional[str] = None,
-        train: bool = True,
-    ) -> Job:
-        """Create an index, returning a handle to the indexing job.
-
-        The job may already be complete when returned; callers must not assume
-        the index exists until :meth:`Job.wait` returns.
-        """
-        return Job(
-            LOOP.run(
-                self._table.create_index_async(
-                    column,
-                    replace=replace,
-                    config=config,
-                    wait_timeout=wait_timeout,
-                    name=name,
-                    train=train,
-                )
-            )
-        )
-
    def _is_legacy_create_index_call(
        self,
        first_arg: str,
@@ -3976,28 +3911,6 @@ class LanceTable(Table):
        [`AsyncTable.get_lsm_write_spec`][lancedb.AsyncTable.get_lsm_write_spec]."""
        return LOOP.run(self._table.get_lsm_write_spec())

-    def checkpoint_lsm(self) -> None:
-        """Synchronous version of
-        [`AsyncTable.checkpoint_lsm`][lancedb.AsyncTable.checkpoint_lsm]."""
-        return LOOP.run(self._table.checkpoint_lsm())
-
-    def flush_lsm(self) -> None:
-        """Synchronous version of
-        [`AsyncTable.flush_lsm`][lancedb.AsyncTable.flush_lsm]."""
-        return LOOP.run(self._table.flush_lsm())
-
-    def compact_lsm(self) -> None:
-        """Synchronous version of
-        [`AsyncTable.compact_lsm`][lancedb.AsyncTable.compact_lsm]."""
-        return LOOP.run(self._table.compact_lsm())
-
-    def get_lsm_stats(self, *, include_generation_rows: bool = False) -> Optional[dict]:
-        """Synchronous version of
-        [`AsyncTable.get_lsm_stats`][lancedb.AsyncTable.get_lsm_stats]."""
-        return LOOP.run(
-            self._table.get_lsm_stats(include_generation_rows=include_generation_rows)
-        )
-
    def close_lsm_writers(self) -> None:
        """Close cached MemWAL shard writers. See
        [`AsyncTable.close_lsm_writers`][lancedb.AsyncTable.close_lsm_writers]."""
@@ -4676,13 +4589,6 @@ class AsyncTable:
        via [`set_unenforced_primary_key`]; bucket sharding additionally
        requires it to be the single column being bucketed.

-        By default the MemWAL maintains every index on the table, resolved
-        here — a snapshot, so an index created afterwards needs the spec unset
-        and set again. This fails if one cannot be maintained; name the set
-        with ``with_maintained_indexes`` to install anyway. That pins an exact
-        set (a still-building index is rejected, not omitted); ``[]`` maintains
-        none.
-
        Parameters
        ----------
        spec : LsmWriteSpec
@@ -4709,73 +4615,12 @@ class AsyncTable:

        Returns ``None`` when the MemWAL LSM write path is not enabled (no
        spec has been set, or it was removed with `unset_lsm_write_spec`).
-        The returned spec mirrors what was passed to `set_lsm_write_spec`,
-        except that ``maintained_indexes`` always reports the concrete list
-        resolved when the spec was set — ``None`` never round-trips.
+        The returned spec — including its ``maintained_indexes`` and
+        ``writer_config_defaults`` — mirrors what was passed to
+        `set_lsm_write_spec`.
        """
        return await self._inner.get_lsm_write_spec()

-    async def checkpoint_lsm(self) -> None:
-        """Converge this table's LSM write path into its base table.
-
-        One flush, sealing every memtable into L0, then compaction triggers
-        until every generation that existed at that moment has reached base.
-        The loop runs client-side, reading progress from ``get_lsm_stats``.
-
-        Best-effort: generations created *while* it runs are deliberately not
-        waited on, which is what lets it terminate on a table taking writes.
-        Idempotent and safe on a cadence.
-
-        There is no deadline, and the caller owns that. It returns when the
-        target generations are gone, raises on a terminal server fault, and
-        otherwise waits however long the server takes. A slow table and a
-        stuck one are the same picture from the client: the compactor pool is
-        shared across every table on the node, so a checkpoint queued behind
-        unrelated work looks exactly like one that is merging. Wrap this in
-        ``asyncio.wait_for`` for a wall-clock bound; abandoning it partway
-        costs nothing.
-        """
-        return await self._inner.checkpoint_lsm()
-
-    async def flush_lsm(self) -> None:
-        """Seal every bucket's active memtable into L0.
-
-        Does not touch the base table — moving L0 into base is
-        `compact_lsm`. On a node that has not claimed this table, this claims
-        it and replays its WAL log first.
-        """
-        return await self._inner.flush_lsm()
-
-    async def compact_lsm(self) -> None:
-        """Trigger a background L0 to base compaction pass per bucket.
-
-        Returns once the passes are dispatched, not once they finish: watch
-        ``get_lsm_stats`` for progress, or use ``checkpoint_lsm`` to loop
-        until the current L0 has reached base.
-        """
-        return await self._inner.compact_lsm()
-
-    async def get_lsm_stats(
-        self, *, include_generation_rows: bool = False
-    ) -> Optional[dict]:
-        """Read live per-bucket LSM state.
-
-        Answers "how far behind is my fresh tier", "which bucket is hot", and
-        "why is my fresh-tier vector search brute-force". Mutates no table
-        state, though on a node that has not claimed this table it claims it,
-        exactly as a read would.
-
-        Returns ``None`` only when the LSM write path is not enabled.
-
-        Parameters
-        ----------
-        include_generation_rows
-            Report a row count per L0 generation. Off by default: each count
-            opens an uncached Lance dataset, and ``checkpoint_lsm`` polls this
-            needing only generation numbers.
-        """
-        return await self._inner.get_lsm_stats(include_generation_rows)
-
    async def close_lsm_writers(self) -> None:
        """Drain and close any cached MemWAL shard writers for this table.

@@ -5026,46 +4871,6 @@ class AsyncTable:
                )
            raise e

-    async def create_index_async(
-        self,
-        column: str,
-        *,
-        replace: Optional[bool] = None,
-        config: Optional[
-            Union[
-                IvfFlat,
-                IvfPq,
-                IvfRq,
-                HnswPq,
-                HnswSq,
-                HnswFlat,
-                BTree,
-                Bitmap,
-                LabelList,
-                Fm,
-                FTS,
-            ]
-        ] = None,
-        wait_timeout: Optional[timedelta] = None,
-        name: Optional[str] = None,
-        train: bool = True,
-    ) -> AsyncJob:
-        """Create an index, returning a handle to the indexing job.
-
-        Takes the same arguments as :meth:`create_index`. The job may already
-        be complete when returned; callers must not assume the index exists
-        until :meth:`AsyncJob.wait` resolves.
-        """
-        job = await self._inner.create_index_async(
-            column,
-            index=config,
-            replace=replace,
-            wait_timeout=wait_timeout,
-            name=name,
-            train=train,
-        )
-        return AsyncJob(job)
-
    async def drop_index(self, name: str) -> None:
        """
        Drop an index from the table.
@@ -6341,9 +6146,7 @@ class TableStatistics:
    Attributes
    ----------
    total_bytes: int
-        The total size, in bytes, of the table's data files, index files, and
-        overlay files. Read from the manifest, so this excludes deletion files
-        and manifests.
+        The total number of bytes in the table.
    num_rows: int
        The total number of rows in the table.
    num_indices: int
@@ -395,11 +395,6 @@ def _(value: dict):
    )


-@value_to_sql.register(pa.Scalar)
-def _(value: pa.Scalar):
-    return value_to_sql(value.as_py())
-
-
@value_to_sql.register(np.ndarray)
 def _(value: np.ndarray):
    return value_to_sql(value.tolist())
@@ -226,13 +226,13 @@ def test_fetch_blob_ranges_validates_requests():
    table = _blob_table("range_validation", [{"id": 1, "image": b"abc"}])
    row_id = _row_ids_by_id(table)[1]

-    with pytest.raises(ValueError, match="exceeds blob size"):
+    with pytest.raises(RuntimeError, match="exceeds blob size"):
        table.fetch_blob_ranges("image", [(row_id, 2, 2)])

-    with pytest.raises(ValueError, match="offset \\+ length overflowed"):
+    with pytest.raises(RuntimeError, match="offset \\+ length overflowed"):
        table.fetch_blob_ranges("image", [(row_id, 2**64 - 1, 1)])

-    with pytest.raises(ValueError, match="row IDs"):
+    with pytest.raises(ValueError, match="row ids"):
        table.fetch_blob_ranges("image", [(2**64 - 1, 0, 1)])


@@ -2,11 +2,9 @@
 # SPDX-FileCopyrightText: Copyright The LanceDB Authors


-import inspect
 import re
 import sys
 from datetime import timedelta
-from importlib import resources
 import os
 from types import SimpleNamespace

@@ -19,10 +17,6 @@ from lance_namespace.errors import NamespaceNotEmptyError, TableNotFoundError
 from lancedb.pydantic import LanceModel, Vector


-def test_package_includes_pep_561_marker():
-    assert resources.files(lancedb).joinpath("py.typed").is_file()
-
-
 def test_basic(tmp_path):
    db = lancedb.connect(tmp_path)

@@ -68,44 +62,6 @@ def test_basic(tmp_path):
    assert db.open_table("test").name == db["test"].name


-def test_sync_debugger_inspection_does_not_use_background_loop(tmp_path, monkeypatch):
-    from lancedb.background_loop import LOOP
-
-    db = lancedb.connect(tmp_path)
-    table = db.create_table("test", data=[{"id": 1}])
-
-    def fail_run(*args, **kwargs):
-        raise AssertionError("debugger inspection should not use the background loop")
-
-    monkeypatch.setattr(LOOP, "run", fail_run)
-
-    # Debuggers enumerate and evaluate every exposed attribute when expanding a
-    # variable. This must remain safe while their breakpoint suspends LOOP's thread.
-    members = dict(inspect.getmembers(db))
-
-    assert members["uri"] == str(tmp_path)
-    assert members["read_consistency_interval"] is None
-    assert repr(db) == f"LanceDBConnection(uri={str(tmp_path)!r})"
-    assert repr(table) == f"LanceTable(name='test', _conn={db!r})"
-
-
-def test_read_consistency_interval_does_not_use_background_loop(tmp_path, monkeypatch):
-    from lancedb.background_loop import LOOP
-    from lancedb.db import LanceDBConnection
-
-    consistency_interval = timedelta(seconds=5)
-    db = lancedb.connect(tmp_path, read_consistency_interval=consistency_interval)
-    db_from_inner = LanceDBConnection.from_inner(db._inner, consistency_interval)
-
-    def fail_run(*args, **kwargs):
-        raise AssertionError("properties should not use the Python background loop")
-
-    monkeypatch.setattr(LOOP, "run", fail_run)
-
-    assert db.read_consistency_interval == consistency_interval
-    assert db_from_inner.read_consistency_interval == consistency_interval
-
-
 def test_ingest_pd(tmp_path):
    db = lancedb.connect(tmp_path)

@@ -64,23 +64,6 @@ def test_embedding_function(tmp_path):
    assert np.allclose(actual, expected)


-def test_instructor_ndims_uses_instruction():
-    instructor = get_registry().get("instructor").create()
-    model = MagicMock()
-    model.encode.return_value = np.zeros((1, 384))
-
-    with patch.object(type(instructor), "get_model", return_value=model):
-        assert instructor.ndims() == 384
-
-    model.encode.assert_called_once_with(
-        [[instructor.source_instruction, "foo"]],
-        batch_size=instructor.batch_size,
-        show_progress_bar=instructor.show_progress_bar,
-        normalize_embeddings=instructor.normalize_embeddings,
-        device=instructor.device,
-    )
-
-
 def test_embedding_function_variables():
    @register("variable-testing")
    class VariableTestingFunction(TextEmbeddingFunction):
@@ -132,16 +115,34 @@ def test_embedding_function_variables():
    assert func.safe_model_dump()["secret_key"] == "$var:secret"


-def test_openai_variables_survive_metadata_round_trip():
+def test_parse_functions_with_variables():
+    @register("variable-parsing-test")
+    class VariableParsingFunction(TextEmbeddingFunction):
+        api_key: str
+        base_url: Optional[str] = None
+
+        @staticmethod
+        def sensitive_keys():
+            return ["api_key"]
+
+        def ndims(self):
+            return 10
+
+        def generate_embeddings(self, texts):
+            # Mock implementation that just returns random embeddings
+            # In real usage, this would use the api_key to call an API
+            return [np.random.rand(self.ndims()).tolist() for _ in texts]
+
    registry = EmbeddingFunctionRegistry.get_instance()

    registry.set_var("test_api_key", "sk-test-key-12345")
+    registry.set_var("test_base_url", "https://api.example.com")

    conf = EmbeddingFunctionConfig(
        source_column="text",
        vector_column="vector",
-        function=registry.get("openai").create(
-            api_key="$var:test_api_key", base_url="https://api.example.com"
+        function=registry.get("variable-parsing-test").create(
+            api_key="$var:test_api_key", base_url="$var:test_base_url"
        ),
    )

@@ -149,10 +150,7 @@ def test_openai_variables_survive_metadata_round_trip():

    # Create a mock arrow table with the metadata
    schema = pa.schema(
-        [
-            pa.field("text", pa.string()),
-            pa.field("vector", pa.list_(pa.float32(), 1536)),
-        ]
+        [pa.field("text", pa.string()), pa.field("vector", pa.list_(pa.float32(), 10))]
    )
    table = pa.table({"text": [], "vector": []}, schema=schema)
    table = table.replace_schema_metadata(metadata)
@@ -166,15 +164,13 @@ def test_openai_variables_survive_metadata_round_trip():

    assert parsed_func.api_key == "sk-test-key-12345"
    assert parsed_func.base_url == "https://api.example.com"
+
+    embeddings = parsed_func.generate_embeddings(["test text"])
+    assert len(embeddings) == 1
+    assert len(embeddings[0]) == 10
+
    assert parsed_func.safe_model_dump()["api_key"] == "$var:test_api_key"

-    with patch("lancedb.embeddings.openai.attempt_import_or_raise") as import_openai:
-        parsed_func._openai_client
-
-    import_openai.return_value.OpenAI.assert_called_once_with(
-        api_key="sk-test-key-12345", base_url="https://api.example.com"
-    )
-

 def test_embedding_with_bad_results(tmp_path):
    @register("null-embedding")
@@ -631,23 +627,3 @@ def test_url_retrieve_downloads_image():
    image_bytes = url_retrieve(image_url)
    img = Image.open(io.BytesIO(image_bytes))
    assert img.size[0] > 0 and img.size[1] > 0
-
-
-def test_jina_generate_image_input_dict_local_path(tmp_path):
-    """
-    JinaEmbeddings._generate_image_input_dict must accept a local image path
-    (str or Path), not just bytes. Previously it crashed with
-    `AttributeError: 'function' object has no attribute 'urlparse'` on any
-    str/Path input because it called `urlparse.urlparse(image)` instead of
-    `urlparse(image)` (urlparse was imported as a function, not a module).
-    """
-    Image = pytest.importorskip("PIL.Image")
-    from lancedb.embeddings.jinaai import JinaEmbeddings
-
-    image_path = tmp_path / "test.png"
-    Image.new("RGB", (4, 4), color="red").save(image_path, format="PNG")
-
-    for image in (str(image_path), image_path):
-        image_dict = JinaEmbeddings._generate_image_input_dict(image)
-        assert "image" in image_dict
-        assert isinstance(image_dict["image"], str) and len(image_dict["image"]) > 0
@@ -12,7 +12,7 @@ import pyarrow.compute as pc
 import pytest
 import pytest_asyncio

-from lancedb.index import BTree, FTS, IvfPq
+from lancedb.index import FTS
 from lancedb.table import AsyncTable, Table


@@ -99,86 +99,6 @@ async def test_async_hybrid_query_filters(table: AsyncTable):
    assert result["text"].to_pylist() == ["cat", "b"]


-@pytest.mark.asyncio
-async def test_hybrid_query_with_stale_fixed_size_binary_prefilter(
-    tmpdir_factory,
-):
-    tmp_path = str(tmpdir_factory.mktemp("stale_scalar_prefilter"))
-    db = await lancedb.connect_async(tmp_path)
-
-    def fixed_size_binary(value: int) -> bytes:
-        return value.to_bytes(16, byteorder="big")
-
-    num_rows = 1000
-    data = pa.table(
-        {
-            "space_id": pa.array(
-                [fixed_size_binary(i) for i in range(num_rows)],
-                type=pa.binary(16),
-            ),
-            "text": ["book"] * num_rows,
-            "vector": pa.array(
-                [[float(i), float(i)] for i in range(num_rows)],
-                type=pa.list_(pa.float32(), 2),
-            ),
-        }
-    )
-    table = await db.create_table("test", data)
-    await table.create_index(
-        "vector", config=IvfPq(num_partitions=4, num_sub_vectors=2)
-    )
-    await table.create_index("space_id", config=BTree())
-    await table.create_index("text", config=FTS(with_position=False))
-
-    # Advance the search indices without advancing the scalar index. This is the
-    # state that previously let hybrid search use an incomplete scalar prefilter.
-    await table.add(data)
-    lance_dataset = await table.to_lance()
-    lance_dataset.optimize.optimize_indices(index_names=["vector_idx", "text_idx"])
-    await table.checkout_latest()
-
-    scalar_stats = await table.index_stats("space_id_idx")
-    assert scalar_stats is not None
-    assert scalar_stats.num_indexed_rows == num_rows
-    assert scalar_stats.num_unindexed_rows == num_rows
-
-    for index_name in ["vector_idx", "text_idx"]:
-        search_stats = await table.index_stats(index_name)
-        assert search_stats is not None
-        assert search_stats.num_indexed_rows == num_rows * 2
-        assert search_stats.num_unindexed_rows == 0
-
-    matching_ids = [5, 10, 15, 20, 25, 30]
-    literals = [
-        f"arrow_cast(0x{fixed_size_binary(i).hex()}, 'FixedSizeBinary(16)')"
-        for i in matching_ids
-    ]
-    predicate = f"space_id IN ({', '.join(literals)})"
-    expected_ids = sorted(fixed_size_binary(i) for i in matching_ids for _ in range(2))
-
-    vector_query = (
-        table.query().where(predicate).nearest_to([5.0, 5.0]).limit(num_rows * 2)
-    )
-    vector_results = await vector_query.to_arrow()
-    assert sorted(vector_results["space_id"].to_pylist()) == expected_ids
-
-    fts_query = (
-        table.query().where(predicate).nearest_to_text("book").limit(num_rows * 2)
-    )
-    fts_results = await fts_query.to_arrow()
-    assert sorted(fts_results["space_id"].to_pylist()) == expected_ids
-
-    hybrid_results = await (
-        table.query()
-        .where(predicate)
-        .nearest_to([5.0, 5.0])
-        .nearest_to_text("book")
-        .limit(num_rows * 2)
-        .to_arrow()
-    )
-    assert sorted(hybrid_results["space_id"].to_pylist()) == expected_ids
-
-
@pytest.mark.asyncio
 async def test_async_hybrid_query_default_limit(table: AsyncTable):
    # add 10 new rows
@@ -203,19 +123,6 @@ async def test_async_hybrid_query_default_limit(table: AsyncTable):
    assert texts.count("a") == 1


-def test_hybrid_query_minimum_nprobes_zero_raises(sync_table: Table):
-    # minimum_nprobes(0) must raise the same validation error a plain vector
-    # query raises, not silently no-op because 0 is falsy.
-    with pytest.raises(ValueError, match="minimum_nprobes must be greater than 0"):
-        (
-            sync_table.search(query_type="hybrid")
-            .vector([0.0, 0.4])
-            .text("dog")
-            .minimum_nprobes(0)
-            .to_arrow()
-        )
-
-
 def test_hybrid_query_distance_range(sync_table: Table):
    reranker = RRFReranker(return_score="all")
    result = (
@@ -1,33 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-import re
-import shutil
-import subprocess
-import sys
-
-import lancedb._lancedb as _lancedb
-import pytest
-
-
-@pytest.mark.skipif(sys.platform != "linux", reason="ldd is Linux-specific")
-def test_native_extension_does_not_link_openssl():
-    """OpenSSL-linked wheels abort when imported on RHEL hosts in FIPS mode."""
-    ldd = shutil.which("ldd")
-    if ldd is None:
-        pytest.skip("ldd is not installed")
-
-    result = subprocess.run(
-        [ldd, _lancedb.__file__],
-        check=True,
-        capture_output=True,
-        text=True,
-    )
-    openssl_libraries = re.findall(
-        r"^\s*(lib(?:crypto|ssl)\S*)\s+=>", result.stdout, flags=re.MULTILINE
-    )
-
-    assert not openssl_libraries, (
-        "the LanceDB native extension must use rustls instead of linking OpenSSL: "
-        f"{openssl_libraries}"
-    )
@@ -84,15 +84,6 @@ async def binary_table(db_async):
    )


-@pytest.mark.asyncio
-async def test_create_index_async_returns_done_job(some_table: AsyncTable):
-    job = await some_table.create_index_async("id", config=BTree())
-    assert job.id is None
-    await job.wait()
-    assert len(await some_table.list_indices()) == 1
-    await job.cancel()
-
-
@pytest.mark.asyncio
 async def test_create_scalar_index(some_table: AsyncTable):
    # Can create
@@ -372,31 +363,6 @@ async def test_create_vector_index(some_table: AsyncTable):
    assert stats.num_indices == 1


-@pytest.mark.asyncio
-async def test_create_ivf_index_reports_unsplittable_partitions(db_async):
-    dim = 8
-    num_partitions = 300  # More than 256 selects hierarchical k-means.
-    base_vectors = [[float(row == column) for column in range(dim)] for row in range(5)]
-    vectors = pa.array(base_vectors * 200, pa.list_(pa.float32(), dim))
-    table = await db_async.create_table(
-        "unsplittable_partitions",
-        pa.table({"vector": vectors}),
-    )
-
-    error_pattern = (
-        rf"Cannot create {num_partitions} IVF partitions: k-means could only form"
-    )
-    with pytest.raises(RuntimeError, match=error_pattern):
-        await table.create_index(
-            "vector",
-            config=IvfFlat(
-                distance_type="dot",
-                num_partitions=num_partitions,
-                max_iterations=10,
-            ),
-        )
-
-
@pytest.mark.asyncio
 async def test_create_4bit_ivfpq_index(some_table: AsyncTable):
    # Can create
@@ -83,9 +83,7 @@ def test_lsm_write_spec_repr():
    assert s.spec_type == "bucket"
    assert s.column == "id"
    assert s.num_buckets == 4
-    # A fresh spec defers its maintained set to install time.
-    assert s.maintained_indexes is None
-    assert s.with_maintained_indexes([]).maintained_indexes == []
+    assert s.maintained_indexes == []
    assert "bucket" in repr(s)
    assert "id" in repr(s)
    assert "4" in repr(s)
@@ -171,23 +169,18 @@ def test_get_lsm_write_spec(tmp_path):
    table.unset_lsm_write_spec()
    assert table.get_lsm_write_spec() is None

-    # Identity round-trips (column recovered from the schema). Leaving the
-    # maintained set to be inferred picks up the index on the table, so the
-    # spec reads back naming it rather than as "infer".
+    # Identity round-trips (column recovered from the schema).
    table.set_lsm_write_spec(LsmWriteSpec.identity("id"))
    spec = table.get_lsm_write_spec()
    assert spec.spec_type == "identity"
    assert spec.column == "id"
-    assert spec.maintained_indexes == [idx_name]
    table.unset_lsm_write_spec()

-    # Unsharded round-trips (no routing column). Opting out is distinct from
-    # the inferred default.
-    table.set_lsm_write_spec(LsmWriteSpec.unsharded().with_maintained_indexes([]))
+    # Unsharded round-trips (no routing column).
+    table.set_lsm_write_spec(LsmWriteSpec.unsharded())
    spec = table.get_lsm_write_spec()
    assert spec.spec_type == "unsharded"
    assert spec.column is None
-    assert spec.maintained_indexes == []


@pytest.mark.asyncio
@@ -544,7 +544,7 @@ def test_lsm_read_fts_unmaintained_index_errors(tmp_path):
    table.create_index("text", config=FTS())
    # No maintained indexes: the active memtable FTS arm cannot serve un-compacted
    # docs, so the search would silently omit them — reject instead.
-    table.set_lsm_write_spec(LsmWriteSpec.unsharded().with_maintained_indexes([]))
+    table.set_lsm_write_spec(LsmWriteSpec.unsharded())
    with pytest.raises(Exception, match="maintained"):
        table.search("fox", query_type="fts", fts_columns="text").to_arrow()

@@ -631,7 +631,7 @@ def test_lsm_read_vector_unmaintained_index_errors(tmp_path):
    )
    # Spec with NO maintained indexes: the base vector index's catch-up is untracked,
    # so the scanner rejects rather than risk dropping compacted-but-unindexed rows.
-    table.set_lsm_write_spec(LsmWriteSpec.unsharded().with_maintained_indexes([]))
+    table.set_lsm_write_spec(LsmWriteSpec.unsharded())
    with pytest.raises(Exception, match="maintained"):
        table.search([1.0] * VECTOR_DIM).to_arrow()

@@ -18,7 +18,6 @@ Tests verify:
 """

 import copy
-import os
 import shutil
 import sys
 import tempfile
@@ -240,7 +239,7 @@ def create_tracking_namespace(

    dir_props = {f"storage.{k}": v for k, v in storage_options_with_refresh.items()}

-    if os.path.isabs(bucket_name) or bucket_name.startswith("file://"):
+    if bucket_name.startswith("/") or bucket_name.startswith("file://"):
        dir_props["root"] = f"{bucket_name}/namespace_root"
    else:
        dir_props["root"] = f"s3://{bucket_name}/namespace_root"
@@ -768,70 +767,3 @@ def test_namespace_with_schema_only(s3_bucket: str, use_custom: bool):

    # Verify data was added
    assert table.count_rows() == 2
-
-
-@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
-def test_namespace_exists(use_custom: bool):
-    """
-    Test namespace_exists returns True for existing and False for non-existent.
-    """
-    temp_dir = tempfile.mkdtemp()
-    try:
-        ns_client, _ = create_tracking_namespace(
-            bucket_name=temp_dir,
-            storage_options={},
-            credential_expires_in_seconds=3600,
-            use_custom=use_custom,
-        )
-        db = LanceNamespaceDBConnection(ns_client)
-
-        namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
-        db.create_namespace([namespace_name])
-
-        # Existing namespace should return True
-        assert db.namespace_exists(namespace_id=[namespace_name]) is True
-
-        # Non-existent namespace should return False
-        assert db.namespace_exists(namespace_id=["nonexistent_ns"]) is False
-    finally:
-        shutil.rmtree(temp_dir, ignore_errors=True)
-
-
-@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
-def test_table_exists(use_custom: bool):
-    """
-    Test table_exists returns True for existing table and False for non-existent.
-    """
-    temp_dir = tempfile.mkdtemp()
-    try:
-        ns_client, _ = create_tracking_namespace(
-            bucket_name=temp_dir,
-            storage_options={},
-            credential_expires_in_seconds=3600,
-            use_custom=use_custom,
-        )
-        db = LanceNamespaceDBConnection(ns_client)
-
-        namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
-        db.create_namespace([namespace_name])
-
-        table_name = f"test_table_{uuid.uuid4().hex}"
-        namespace_path = [namespace_name]
-        schema = pa.schema(
-            [
-                pa.field("id", pa.int64()),
-                pa.field("vector", pa.list_(pa.float32(), 2)),
-                pa.field("text", pa.string()),
-            ]
-        )
-
-        db.create_table(table_name, schema=schema, namespace_path=namespace_path)
-
-        # Existing table should return True
-        table_id = namespace_path + [table_name]
-        assert db.table_exists(table_id=table_id) is True
-
-        # Non-existent table should return False
-        assert db.table_exists(table_id=namespace_path + ["nonexistent_table"]) is False
-    finally:
-        shutil.rmtree(temp_dir, ignore_errors=True)
@@ -1,42 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-import importlib
-import re
-import sys
-from pathlib import Path
-
-import pytest
-
-
-def test_pyo3_abi_matches_minimum_supported_python():
-    project_dir = Path(__file__).parents[2]
-    pyproject = (project_dir / "pyproject.toml").read_text()
-    cargo_manifest = (project_dir / "Cargo.toml").read_text()
-
-    minimum_python = re.search(
-        r'^requires-python\s*=\s*">=(\d+)\.(\d+)"$', pyproject, re.MULTILINE
-    )
-    assert minimum_python is not None
-
-    major, minor = minimum_python.groups()
-    expected_abi = f"abi3-py{major}{minor}"
-    configured_abis = re.findall(r'"(abi3-py\d+)"', cargo_manifest)
-
-    assert configured_abis == [expected_abi, expected_abi], (
-        "the pyo3 runtime and build ABI features must both match requires-python"
-    )
-
-
-@pytest.mark.skipif(sys.platform != "win32", reason="Windows wheel regression test")
-def test_windows_wheel_tag_and_native_import():
-    project_dir = Path(__file__).parents[2]
-    wheels = list((project_dir.parent / "target" / "wheels").glob("lancedb-*.whl"))
-    if not wheels:
-        pytest.skip("no wheel artifact is available in this development environment")
-
-    assert len(wheels) == 1
-    assert wheels[0].name.endswith("-cp310-abi3-win_amd64.whl")
-
-    native_module = importlib.import_module("lancedb._lancedb")
-    assert Path(native_module.__file__).suffix == ".pyd"
@@ -6,7 +6,6 @@ import math
 import pytest

 from lancedb import DBConnection, Table, connect
-from lancedb.background_loop import LOOP
 from lancedb.permutation import Permutation, Permutations, permutation_builder


@@ -32,25 +31,6 @@ def test_split_random_ratios(mem_db):
    assert 65 <= split_1_count <= 75  # ~70% ± tolerance


-def test_execute_does_not_reenter_background_loop(tmp_path, monkeypatch):
-    import threading
-
-    db = connect(tmp_path)
-    tbl = db.create_table("test_table", pa.table({"x": range(10)}))
-    original_run = LOOP.run
-
-    def fail_on_reentry(future):
-        assert threading.current_thread() is not LOOP.thread
-        return original_run(future)
-
-    monkeypatch.setattr(LOOP, "run", fail_on_reentry)
-
-    permutation_tbl = permutation_builder(tbl).execute()
-
-    assert permutation_tbl.count_rows() == 10
-    assert permutation_tbl._conn.read_consistency_interval is None
-
-
 def test_split_random_counts(mem_db):
    """Test random splitting with absolute counts."""
    tbl = mem_db.create_table(
@@ -415,17 +415,6 @@ def test_nullable_vector():
    assert schema == pa.schema([pa.field("vec", pa.list_(pa.float32(), 16), True)])


-def test_bare_vector_raises_clear_error():
-    namespace = {
-        "__name__": "test_model_without_pyarrow",
-        "LanceModel": LanceModel,
-        "Vector": Vector,
-    }
-
-    with pytest.raises(TypeError, match=r"Vector must be parameterized.*Vector\(128\)"):
-        exec("class TestModel(LanceModel):\n    vector: Vector", namespace)
-
-
 def test_fixed_size_list_field():
    class TestModel(pydantic.BaseModel):
        vec: Vector(16)
@@ -570,15 +570,6 @@ def test_query_builder(table):
    assert all(np.array(rs[0]["vector"]) == [1, 2])


-def test_query_multiple_vectors(table):
-    results = table.search([np.array([1, 2]), np.array([4, 5])]).limit(1).to_list()
-
-    assert len(results) == 2
-    results_by_query = {result["query_index"]: result for result in results}
-    assert results_by_query[0]["id"] == 1
-    assert results_by_query[1]["id"] == 2
-
-
 def test_with_row_id(table: lancedb.table.Table):
    rs = table.search().with_row_id(True).to_arrow()
    assert "_rowid" in rs.column_names
@@ -35,12 +35,6 @@ def make_mock_http_handler(handler):
    return MockLanceDBHandler


-@pytest.mark.parametrize("db_name", ["a" * 64, "invalid..database"])
-def test_connect_rejects_invalid_cloud_dns_hostname(db_name):
-    with pytest.raises(ValueError, match="DNS labels must contain 1 to 63 bytes"):
-        lancedb.connect(f"db://{db_name}", api_key="fake")
-
-
@contextlib.contextmanager
 def mock_lancedb_connection(handler):
    with http.server.HTTPServer(
@@ -818,121 +812,6 @@ def test_table_create_indices():
        table.drop_index("custom_fts_idx")


-def test_remote_create_index_async_returns_job():
-    from lancedb.index import BTree
-
-    describe_calls = []
-
-    def handler(request):
-        content_len = int(request.headers.get("Content-Length", 0))
-        body = request.rfile.read(content_len) if content_len > 0 else b""
-        if request.path == "/v1/table/test/create_index/":
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(b'{"job_id": "job-1"}')
-        elif request.path == "/v1/jobs/describe":
-            assert json.loads(body)["job_id"] == "job-1"
-            describe_calls.append(1)
-            state = "IN_PROGRESS" if len(describe_calls) == 1 else "DONE"
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(
-                json.dumps(dict(job_id="job-1", job_state=state)).encode()
-            )
-        elif request.path == "/v1/jobs/cancel":
-            assert json.loads(body)["job_id"] == "job-1"
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(b"{}")
-        elif request.path == "/v1/table/test/create/?mode=create":
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(b"{}")
-        elif request.path == "/v1/table/test/describe/":
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(
-                json.dumps(
-                    dict(
-                        version=1,
-                        schema=dict(
-                            fields=[
-                                dict(name="id", type={"type": "int64"}, nullable=False),
-                            ]
-                        ),
-                    )
-                ).encode()
-            )
-        else:
-            request.send_response(404)
-            request.end_headers()
-
-    with mock_lancedb_connection(handler) as db:
-        table = db.create_table("test", [{"id": 1}])
-        job = table.create_index_async("id", config=BTree())
-        assert job.id == "job-1"
-        job.wait(timeout=timedelta(seconds=30))
-        assert len(describe_calls) == 2
-        job.cancel()
-
-
-def test_remote_job_wait_raises_on_failure():
-    from lancedb.exceptions import JobFailedError
-    from lancedb.index import BTree
-
-    def handler(request):
-        content_len = int(request.headers.get("Content-Length", 0))
-        body = request.rfile.read(content_len) if content_len > 0 else b""
-        if request.path == "/v1/table/test/create_index/":
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(b'{"job_id": "job-2"}')
-        elif request.path == "/v1/jobs/describe":
-            assert json.loads(body)["job_id"] == "job-2"
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(
-                json.dumps(dict(job_id="job-2", job_state="FAILED")).encode()
-            )
-        elif request.path == "/v1/table/test/create/?mode=create":
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(b"{}")
-        elif request.path == "/v1/table/test/describe/":
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(
-                json.dumps(
-                    dict(
-                        version=1,
-                        schema=dict(
-                            fields=[
-                                dict(name="id", type={"type": "int64"}, nullable=False),
-                            ]
-                        ),
-                    )
-                ).encode()
-            )
-        else:
-            request.send_response(404)
-            request.end_headers()
-
-    with mock_lancedb_connection(handler) as db:
-        table = db.create_table("test", [{"id": 1}])
-        job = table.create_index_async("id", config=BTree())
-        with pytest.raises(JobFailedError, match="job-2"):
-            job.wait()
-
-
 def test_remote_create_index_new_api():
    received_requests = []

@@ -1141,7 +1020,7 @@ def query_test_table(query_handler, *, server_version=Version("0.1.0")):
            request.send_header("Content-Type", "application/json")
            request.send_header("phalanx-version", str(server_version))
            request.end_headers()
-            request.wfile.write(b'{"version": 1, "schema": {"fields": []}}')
+            request.wfile.write(b"{}")
        elif request.path == "/v1/table/test/query/":
            content_len = int(request.headers.get("Content-Length"))
            body = request.rfile.read(content_len)
@@ -1979,330 +1858,3 @@ def test_inherited_remote_table_reopens_after_fork():
    finally:
        server.shutdown()
        server_thread.join()
-
-
-BLOB_DESCRIBE_RESPONSE = {
-    "table": "test",
-    "version": 1,
-    "schema": {
-        "fields": [
-            {"name": "id", "type": {"type": "int64"}, "nullable": False},
-            {
-                "name": "image",
-                "type": {
-                    "type": "struct",
-                    "fields": [
-                        {
-                            "name": "data",
-                            "type": {"type": "large_binary"},
-                            "nullable": True,
-                        },
-                        {"name": "uri", "type": {"type": "string"}, "nullable": True},
-                    ],
-                },
-                "nullable": True,
-                "metadata": {
-                    "ARROW:extension:name": "lance.blob.v2",
-                    "ARROW:extension:metadata": "",
-                },
-            },
-        ]
-    },
-}
-
-
-def blob_query_response_table():
-    image_field = pa.field(
-        "image",
-        pa.struct(
-            [
-                pa.field("kind", pa.uint8(), nullable=False),
-                pa.field("position", pa.uint64(), nullable=False),
-                pa.field("size", pa.uint64(), nullable=False),
-                pa.field("blob_id", pa.uint32(), nullable=False),
-                pa.field("blob_uri", pa.string(), nullable=False),
-            ]
-        ),
-        metadata={"lance-encoding:blob": "true"},
-    )
-    images = pa.StructArray.from_arrays(
-        [
-            pa.array([1, 0, 0], type=pa.uint8()),
-            pa.array([0, 0, 0], type=pa.uint64()),
-            pa.array([5, 0, 5], type=pa.uint64()),
-            pa.array([1, 0, 2], type=pa.uint32()),
-            pa.array(["", "", ""], type=pa.string()),
-        ],
-        fields=image_field.type,
-        mask=pa.array([False, True, False]),
-    )
-    return pa.Table.from_arrays(
-        [
-            pa.array([1, 2, 3], type=pa.int64()),
-            images,
-            pa.array([10, 20, 30], type=pa.uint64()),
-        ],
-        schema=pa.schema(
-            [
-                pa.field("id", pa.int64(), nullable=False),
-                image_field,
-                pa.field("_rowid", pa.uint64()),
-            ]
-        ),
-    )
-
-
-@contextlib.contextmanager
-def blob_remote_table(*, server_version=Version("0.5.0")):
-    def handler(request):
-        if request.path == "/v1/table/test/describe/":
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.send_header("phalanx-version", str(server_version))
-            request.end_headers()
-            request.wfile.write(json.dumps(BLOB_DESCRIBE_RESPONSE).encode())
-        elif request.path.startswith("/v1/table/test/blob/image/"):
-            path = request.path.partition("?")[0]
-            row_id = int(path.split("/")[-2])
-            payload = {10: b"alpha", 20: None, 30: b"gamma"}[row_id]
-            if payload is None:
-                request.send_response(204)
-                request.end_headers()
-                return
-            byte_range = request.headers["Range"].removeprefix("bytes=")
-            start_text, end_text = byte_range.split("-", maxsplit=1)
-            start = int(start_text)
-            end = int(end_text) if end_text else len(payload) - 1
-            chunk = payload[start : end + 1]
-            request.send_response(206)
-            request.send_header("Content-Range", f"bytes {start}-{end}/{len(payload)}")
-            request.send_header("Content-Length", str(len(chunk)))
-            request.end_headers()
-            request.wfile.write(chunk)
-        elif request.path == "/v1/table/test/query/":
-            content_len = int(request.headers.get("Content-Length", 0))
-            body = json.loads(request.rfile.read(content_len))
-            assert body["columns"] == ["id", "image"]
-            assert body["with_row_id"] is True
-            response_table = blob_query_response_table()
-            request.send_response(200)
-            request.send_header("Content-Type", "application/vnd.apache.arrow.file")
-            request.end_headers()
-            with pa.ipc.new_file(request.wfile, response_table.schema) as writer:
-                writer.write_table(response_table)
-        elif request.path == "/v1/table/test/fetch_blobs/":
-            content_len = int(request.headers.get("Content-Length", 0))
-            body = json.loads(request.rfile.read(content_len))
-            assert body["column"] == "image"
-            assert body["row_ids"] == [10, 20, 30]
-            response_table = pa.table(
-                {"image": pa.array([b"alpha", None, b"gamma"], type=pa.large_binary())}
-            )
-            request.send_response(200)
-            request.send_header("Content-Type", "application/vnd.apache.arrow.stream")
-            request.end_headers()
-            with pa.ipc.new_stream(request.wfile, response_table.schema) as writer:
-                writer.write_table(response_table)
-        else:
-            request.send_response(404)
-            request.end_headers()
-
-    with mock_lancedb_connection(handler) as db:
-        yield db.open_table("test")
-
-
-def test_remote_blob_columns_and_fetch():
-    with blob_remote_table() as table:
-        assert table.blob_columns() == ["image"]
-        blobs = table.fetch_blobs("image", [10, 20, 30])
-        assert blobs.to_pylist() == [b"alpha", None, b"gamma"]
-
-
-def test_remote_blob_files_are_lazy_seekable_handles():
-    with blob_remote_table() as table:
-        files = table.fetch_blob_files("image", [10, 20, 30])
-
-        assert len(files) == 3
-        alpha, null_row, gamma = files
-        assert null_row is None
-        assert alpha is not None
-        assert gamma is not None
-        assert alpha.size() == 5
-        assert alpha.read_range(1, 3) == b"lph"
-        gamma.seek(2)
-        assert gamma.read() == b"mma"
-
-
-def test_remote_blob_fetch_accepts_query_table():
-    hits = pa.table({"_rowid": pa.array([10, 20, 30], type=pa.uint64())})
-
-    with blob_remote_table() as table:
-        blobs = table.fetch_blobs("image", hits)
-
-    assert blobs.to_pylist() == [b"alpha", None, b"gamma"]
-
-
-def test_remote_blob_query_stashes_row_ids_for_fetch():
-    with blob_remote_table() as table:
-        hits = table.search().select(["id", "image"]).limit(3).to_arrow()
-        assert "_rowid" not in hits.column_names
-        assert "_lance_row_id" in hits.schema.field("image").type.names
-        blobs = table.fetch_blobs("image", hits)
-
-    assert blobs.to_pylist() == [b"alpha", None, b"gamma"]
-
-
-def test_remote_blob_query_survives_a_server_that_ignores_the_row_id_request():
-    def handler(request):
-        if request.path == "/v1/table/test/describe/":
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.send_header("phalanx-version", "0.5.0")
-            request.end_headers()
-            request.wfile.write(json.dumps(BLOB_DESCRIBE_RESPONSE).encode())
-        elif request.path == "/v1/table/test/query/":
-            content_len = int(request.headers.get("Content-Length", 0))
-            assert json.loads(request.rfile.read(content_len))["with_row_id"] is True
-            response_table = blob_query_response_table().drop_columns(["_rowid"])
-            request.send_response(200)
-            request.send_header("Content-Type", "application/vnd.apache.arrow.file")
-            request.end_headers()
-            with pa.ipc.new_file(request.wfile, response_table.schema) as writer:
-                writer.write_table(response_table)
-        else:
-            request.send_response(404)
-            request.end_headers()
-
-    with mock_lancedb_connection(handler) as db:
-        table = db.open_table("test")
-        hits = table.search().select(["id", "image"]).limit(3).to_arrow()
-
-        assert hits.column_names == ["id", "image"]
-        assert "_lance_row_id" not in hits.schema.field("image").type.names
-        with pytest.raises(ValueError, match="pass a list of row ids"):
-            table.fetch_blobs("image", hits)
-
-
-def test_remote_blob_byte_apis_not_supported_on_old_server():
-    with blob_remote_table(server_version=Version("0.1.0")) as table:
-        assert table.blob_columns() == ["image"]
-        with pytest.raises(NotImplementedError, match="not supported"):
-            table.fetch_blobs("image", [1])
-        with pytest.raises(NotImplementedError, match="not supported"):
-            table.fetch_blob_files("image", [1])
-
-
-def test_remote_connection_jobs_surface():
-    from lancedb.exceptions import JobFailedError
-
-    schema = pa.schema([("state", pa.string())])
-    batch = pa.record_batch([pa.array(["created", "done"])], schema=schema)
-    sink = pa.BufferOutputStream()
-    with pa.ipc.new_stream(sink, schema) as writer:
-        writer.write_batch(batch)
-    events_body = sink.getvalue().to_pybytes()
-
-    def handler(request):
-        content_len = int(request.headers.get("Content-Length", 0))
-        body = request.rfile.read(content_len) if content_len > 0 else b""
-        payload = json.loads(body) if body else {}
-        if request.path == "/v1/jobs/list":
-            if payload.get("page_token") is None:
-                rsp = dict(
-                    jobs=[
-                        dict(
-                            job_id="job-1",
-                            table="t1",
-                            job_type="create_index",
-                            state="in_progress",
-                            created_at_millis=1000,
-                        )
-                    ],
-                    page_token="next",
-                )
-            else:
-                assert payload["page_token"] == "next"
-                rsp = dict(
-                    jobs=[
-                        dict(
-                            job_id="job-2",
-                            table="t2",
-                            job_type="create_index",
-                            state="succeeded",
-                            created_at_millis=2000,
-                        )
-                    ]
-                )
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(json.dumps(rsp).encode())
-        elif request.path == "/v1/jobs/describe":
-            if payload["job_id"] != "job-1":
-                request.send_response(404)
-                request.end_headers()
-                return
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(
-                json.dumps(
-                    dict(
-                        job_id="job-1",
-                        job_type="create_index",
-                        job_state="FAILED",
-                        creation_ms=1000,
-                        spec=dict(column="vec"),
-                        failure=dict(
-                            phase="execute", message="worker died", retryable=True
-                        ),
-                    )
-                ).encode()
-            )
-        elif request.path == "/v1/jobs/cancel":
-            if payload["job_id"] != "job-1":
-                request.send_response(404)
-                request.end_headers()
-                return
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(b'{"job_id": "job-1"}')
-        elif request.path == "/v1/jobs/query_events":
-            assert payload["job_id"] == "job-1"
-            request.send_response(200)
-            request.send_header("Content-Type", "application/vnd.apache.arrow.stream")
-            request.end_headers()
-            request.wfile.write(events_body)
-        else:
-            request.send_response(404)
-            request.end_headers()
-
-    with mock_lancedb_connection(handler) as db:
-        jobs = db.list_jobs()
-        assert [job.job_id for job in jobs] == ["job-1", "job-2"]
-        assert jobs[0].state == "running"
-        assert jobs[0].table == "t1"
-        assert jobs[1].state == "finished"
-
-        description = db.get_job("job-1")
-        assert description.job_type == "create_index"
-        assert description.state == "failed"
-        assert json.loads(description.spec_json) == {"column": "vec"}
-        assert description.failure.message == "worker died"
-        assert description.failure.retryable is True
-        assert db.get_job("missing") is None
-
-        assert db.cancel_job("job-1") is True
-        assert db.cancel_job("missing") is False
-
-        batches = db.job_history("job-1")
-        assert len(batches) == 1
-        assert batches[0].num_rows == 2
-        assert batches[0].column("state").to_pylist() == ["created", "done"]
-
-        job = db.job("job-1")
-        assert job.id == "job-1"
-        assert job.status() == "failed"
-        with pytest.raises(JobFailedError, match="worker died"):
-            job.wait(timeout=timedelta(seconds=5))
@@ -2,14 +2,10 @@
 # SPDX-FileCopyrightText: Copyright The LanceDB Authors


-import ctypes
-import gc
 import os
 import sys
 import threading
 import warnings
-import weakref
-from concurrent.futures import ThreadPoolExecutor
 from datetime import date, datetime, timedelta
 from time import sleep
 from typing import List
@@ -17,7 +13,7 @@ from unittest.mock import patch

 import lancedb
 from lancedb.dependencies import _PANDAS_AVAILABLE
-from lancedb.index import BTree, FTS, HnswFlat, HnswPq, HnswSq, IvfFlat, IvfPq
+from lancedb.index import BTree, FTS, HnswFlat, HnswPq, HnswSq, IvfPq
 import numpy as np
 import polars as pl
 import pyarrow as pa
@@ -102,30 +98,6 @@ def test_basic(mem_db: DBConnection):
    assert table.to_arrow() == expected_data


-def test_search_preserves_nulls_from_sliced_arrow_table(mem_db: DBConnection):
-    data = pa.table(
-        {
-            "id": [0, 1, 2, 3, 4],
-            "score_cn": [None, 22, None, 5, 8],
-            "score_mt": [None, 42, None, 5, 8],
-            "vector": [
-                [20, 19, -1, -1],
-                [41, 38, 22, 42],
-                [10, 10, -1, -1],
-                [5, 5, 5, 5],
-                [8, 8, 8, 8],
-            ],
-        }
-    ).slice(1)
-
-    table = mem_db.create_table("sliced_nullable", data=data)
-    result = table.search([41, 38, 22, 42]).limit(1).to_arrow()
-
-    assert result["id"].to_pylist() == [1]
-    assert result["score_cn"].to_pylist() == [22]
-    assert result["score_mt"].to_pylist() == [42]
-
-
 def test_table_to_pandas_default_matches_arrow(tmp_db: DBConnection):
    pd = pytest.importorskip("pandas")
    data = pa.table({"id": [1, 2], "text": ["one", "two"]})
@@ -462,38 +434,6 @@ def test_add(mem_db: DBConnection):
    _add(table, schema)


-def test_add_releases_arrow_buffers_without_gc(mem_db: DBConnection):
-    """Regression test for https://github.com/lancedb/lancedb/issues/2512."""
-    schema = pa.schema([pa.field("x", pa.int64())])
-    table = mem_db.create_table("test_add_releases_arrow_buffers", schema=schema)
-
-    class BufferOwner:
-        def __init__(self, size: int):
-            self.memory = ctypes.create_string_buffer(size)
-
-    owner_refs = []
-    gc_was_enabled = gc.isenabled()
-    gc.disable()
-    try:
-        for _ in range(3):
-            size = 8 * 1024
-            owner = BufferOwner(size)
-            arrow_buffer = pa.foreign_buffer(
-                ctypes.addressof(owner.memory), size, owner
-            )
-            array = pa.Array.from_buffers(pa.int64(), 1024, [None, arrow_buffer])
-            batch = pa.RecordBatch.from_arrays([array], schema=schema)
-            owner_refs.append(weakref.ref(owner))
-
-            table.add(batch)
-            del batch, array, arrow_buffer, owner
-
-        assert all(owner_ref() is None for owner_ref in owner_refs)
-    finally:
-        if gc_was_enabled:
-            gc.enable()
-
-
 def test_add_write_parallelism(mem_db: DBConnection):
    schema = pa.schema([pa.field("id", pa.int64())])
    table = mem_db.create_table("test", schema=schema)
@@ -929,7 +869,6 @@ def test_polars(mem_db: DBConnection):

    # enter table to polars dataframe
    result = table.to_polars()
-    assert isinstance(result, pl.LazyFrame)
    assert np.allclose(result.collect()["vector"].to_list(), data["vector"])

    # make sure filtering isn't broken
@@ -1463,15 +1402,6 @@ async def test_async_open_table_with_branch_version(tmp_path):
    assert await pinned.count_rows() == 4  # writable again


-def test_create_index_async_returns_done_job(mem_db: DBConnection):
-    table = mem_db.create_table("job_test", [{"id": i} for i in range(10)])
-    job = table.create_index_async("id", config=BTree())
-    assert job.id is None
-    job.wait()
-    assert len(table.list_indices()) == 1
-    job.cancel()
-
-
@patch("lancedb.table.AsyncTable.create_index")
 def test_create_index_method(mock_create_index, mem_db: DBConnection):
    table = mem_db.create_table(
@@ -1846,27 +1776,6 @@ def test_add_with_empty_fixed_size_list_drops_bad_rows(mem_db: DBConnection):
    assert np.allclose(data["embedding"].to_pylist()[0], np.array([0.1] * 16))


-def test_add_nullable_fixed_size_list_with_none(mem_db: DBConnection):
-    """Regression test for issue #2340."""
-    table = mem_db.create_table(
-        "test_nullable_fixed_size_list",
-        schema=pa.schema(
-            [
-                pa.field("id", pa.string()),
-                pa.field("feature", pa.list_(pa.float32(), 256)),
-                pa.field("tags", pa.list_(pa.string())),
-            ]
-        ),
-    )
-
-    table.add([{"id": "1", "feature": None, "tags": ["tag1", "tag2"]}])
-
-    result = table.to_arrow()
-    assert result.to_pylist() == [
-        {"id": "1", "feature": None, "tags": ["tag1", "tag2"]}
-    ]
-
-
 def test_add_nullable_struct_with_none(mem_db: DBConnection):
    """Regression test for issue #2654: a nullable struct column whose
    first batch contains only None values must not crash in
@@ -1906,33 +1815,6 @@ def test_add_nullable_struct_with_none(mem_db: DBConnection):
    assert result.column("data").to_pylist() == [{"x": 1.0}, None]


-def test_read_mostly_null_list_v2_2_page_boundary(tmp_path):
-    # Regression test for #3194. This row/value count crosses a v2.2 structural
-    # encoding page boundary where Lance 3.0.0 sliced repetition/definition
-    # levels by row offset and decoded child arrays at different lengths.
-    num_rows = 64_885
-    num_values = 217
-    list_type = pa.list_(pa.float32())
-    source = pa.table(
-        {
-            "id": np.arange(num_rows, dtype=np.int64),
-            "coords": pa.array(
-                [[1.0, 2.0, 3.0, 4.0]] * num_values + [None] * (num_rows - num_values),
-                type=list_type,
-            ),
-        }
-    )
-    db = lancedb.connect(
-        tmp_path,
-        storage_options={"new_table_data_storage_version": "2.2"},
-    )
-    table = db.create_table("test_sparse_nullable_list", data=source)
-
-    result = table.search().select(["id", "coords"]).limit(num_rows).to_arrow()
-
-    assert result.equals(source)
-
-
 def test_add_with_integer_embeddings_preserves_casting(mem_db: DBConnection):
    class Schema(LanceModel):
        text: str
@@ -2218,45 +2100,6 @@ def test_merge(tmp_db: DBConnection, tmp_path):
    table.merge(other_dataset, left_on="id")


-@pytest.mark.parametrize("storage_version", ["legacy", "stable"])
-def test_search_after_merge(tmp_path, storage_version):
-    pytest.importorskip("lance")
-    pd = pytest.importorskip("pandas")
-
-    db = lancedb.connect(
-        tmp_path,
-        storage_options={"new_table_data_storage_version": storage_version},
-    )
-    rng = np.random.default_rng(42)
-    row_count = 512
-    vectors = rng.standard_normal((row_count, 8)).astype(np.float32)
-    table = db.create_table(
-        "search_after_merge",
-        data=pd.DataFrame(
-            {
-                "id": [str(i) for i in range(row_count)],
-                "vector": list(vectors),
-            }
-        ),
-    )
-    table.create_index("vector", config=IvfPq(num_partitions=1, num_sub_vectors=2))
-
-    links = pd.DataFrame(
-        {
-            "id": [str(i) for i in range(row_count // 2)],
-            "link": [f"https://example.com/{i}" for i in range(row_count // 2)],
-        }
-    )
-    table.merge(links, left_on="id")
-
-    query = table.search(vectors[-1]).refine_factor(50).limit(10)
-    assert "ANN" in query.explain_plan(verbose=True)
-
-    result = query.to_arrow()
-    links_by_id = dict(zip(result["id"].to_pylist(), result["link"].to_pylist()))
-    assert links_by_id[str(row_count - 1)] is None
-
-
 def test_delete(mem_db: DBConnection):
    table = mem_db.create_table(
        "my_table",
@@ -2272,27 +2115,6 @@ def test_delete(mem_db: DBConnection):
    assert table.to_arrow()["id"].to_pylist() == [1]


-def test_concurrent_deletes_are_thread_safe(mem_db: DBConnection):
-    num_workers = 8
-    table = mem_db.create_table(
-        "my_table", data=[{"id": row_id} for row_id in range(num_workers)]
-    )
-    barrier = threading.Barrier(num_workers)
-
-    def delete(row_id: int):
-        barrier.wait()
-        return table.delete(f"id = {row_id}")
-
-    with ThreadPoolExecutor(max_workers=num_workers) as pool:
-        results = list(pool.map(delete, range(num_workers)))
-
-    assert all(result.num_deleted_rows == 1 for result in results)
-    assert sorted(result.version for result in results) == list(
-        range(2, num_workers + 2)
-    )
-    assert table.count_rows() == 0
-
-
 def test_delete_expr(mem_db: DBConnection):
    table = mem_db.create_table(
        "my_table",
@@ -2343,20 +2165,6 @@ def test_update(mem_db: DBConnection):
    assert np.allclose(v, np.array([[1.2, 1.9], [1.1, 1.1]]))


-def test_update_with_arrow_scalar(mem_db: DBConnection):
-    schema = pa.schema({"id": pa.int64(), "vector": pa.list_(pa.float32(), 4)})
-    table = mem_db.create_table("my_table", schema=schema)
-    table.add([{"id": 1, "vector": [1.0, 2.0, 3.0, 4.0]}])
-
-    value = table.search().select(["vector"]).limit(1).to_arrow()["vector"][0]
-    assert isinstance(value, pa.FixedSizeListScalar)
-
-    result = table.update(where="id == 1", values={"vector": value})
-
-    assert result.rows_updated == 1
-    assert table.to_arrow()["vector"].to_pylist() == [[1.0, 2.0, 3.0, 4.0]]
-
-
 def test_update_types(mem_db: DBConnection):
    table = mem_db.create_table(
        "my_table",
@@ -2524,55 +2332,6 @@ def test_merge_insert(mem_db: DBConnection):
        )


-def test_merge_insert_nullable_pandas_into_pydantic_schema(mem_db: DBConnection):
-    # Regression test for https://github.com/lancedb/lancedb/issues/2366
-    pd = pytest.importorskip("pandas")
-
-    class Document(LanceModel):
-        id: int
-        title: str
-        content: str
-
-    table = mem_db.create_table("documents", schema=Document)
-    table.add(
-        pd.DataFrame(
-            {
-                "title": ["Old title", "Unchanged"],
-                "id": [2, 3],
-                "content": ["Old content", "Keep this"],
-            }
-        )
-    )
-
-    # Pandas produces nullable Arrow fields, in an order that differs from the
-    # non-nullable Pydantic schema. This is valid as long as the data has no nulls.
-    new_data = pd.DataFrame(
-        {
-            "title": ["Inserted", "Updated"],
-            "id": [1, 2],
-            "content": ["New row", "New content"],
-        }
-    )
-    result = (
-        table.merge_insert("id")
-        .when_matched_update_all()
-        .when_not_matched_insert_all()
-        .execute(new_data)
-    )
-
-    assert result.num_inserted_rows == 1
-    assert result.num_updated_rows == 1
-    expected = pa.Table.from_pylist(
-        [
-            {"id": 1, "title": "Inserted", "content": "New row"},
-            {"id": 2, "title": "Updated", "content": "New content"},
-            {"id": 3, "title": "Unchanged", "content": "Keep this"},
-        ],
-        schema=Document.to_arrow_schema(),
-    )
-    assert table.to_arrow().sort_by("id") == expected
-
-
 def test_merge_insert_by_source_delete_expr(mem_db: DBConnection):
    table = mem_db.create_table(
        "my_table",
@@ -2596,29 +2355,6 @@ def test_merge_insert_by_source_delete_expr(mem_db: DBConnection):
    assert table.to_arrow().sort_by("a") == expected


-def test_merge_insert_by_source_delete_reconfigure(mem_db: DBConnection):
-    # Calling when_not_matched_by_source_delete() again with no condition must
-    # widen the delete to unconditional, not keep the earlier condition around.
-    table = mem_db.create_table(
-        "my_table",
-        data=pa.table({"a": [1, 2, 3], "b": ["a", "b", "c"]}),
-    )
-    new_data = pa.table({"a": [2, 4], "b": ["x", "z"]})
-
-    merge_insert_res = (
-        table.merge_insert("a")
-        .when_matched_update_all()
-        .when_not_matched_insert_all()
-        .when_not_matched_by_source_delete("a > 2")
-        .when_not_matched_by_source_delete()
-        .execute(new_data)
-    )
-    assert merge_insert_res.num_deleted_rows == 2
-
-    expected = pa.table({"a": [2, 4], "b": ["x", "z"]})
-    assert table.to_arrow().sort_by("a") == expected
-
-
@pytest.mark.asyncio
 async def test_merge_insert_by_source_delete_expr_async(
    mem_db_async: AsyncConnection,
@@ -2673,36 +2409,6 @@ def test_merge_insert_subschema(mem_db: DBConnection, data_format):
    assert table.to_arrow().sort_by("id") == expected


-def test_repeated_partial_merge_insert_with_scalar_index(mem_db: DBConnection):
-    def make_batch(start: int) -> pa.Table:
-        return pa.table(
-            {
-                "id": [f"id-{i:04}" for i in range(start, start + 100)],
-                "category": ["A"] * 100,
-                "value_a": [float(i) for i in range(start, start + 100)],
-                "value_b": [float(i) / 10 for i in range(100)],
-            }
-        )
-
-    table = mem_db.create_table("my_table", data=make_batch(0))
-    table.add(make_batch(100))
-    table.add(make_batch(200))
-    table.create_index("id", config=BTree())
-
-    ids = [f"id-{i:04}" for i in range(100, 200)]
-    for value in (999.0, 888.0):
-        result = (
-            table.merge_insert("id")
-            .when_matched_update_all()
-            .execute(pa.table({"id": ids, "value_a": [value] * 100}))
-        )
-        assert result.num_updated_rows == 100
-
-    actual = table.to_arrow().sort_by("id")
-    assert actual.num_rows == 300
-    assert actual["value_a"].to_pylist()[100:200] == [888.0] * 100
-
-
@pytest.mark.asyncio
 async def test_merge_insert_async(mem_db_async: AsyncConnection):
    data = pa.table({"a": [1, 2, 3], "b": ["a", "b", "c"]})
@@ -2799,40 +2505,15 @@ def test_create_with_embedding_function(mem_db: DBConnection):
    assert actual == expected


-def test_create_f16_table_from_arrow_data(mem_db: DBConnection):
-    dimension = 32
-    num_rows = 512
-    values = pa.array(
-        np.random.default_rng(42)
-        .standard_normal(num_rows * dimension)
-        .astype(np.float16)
-    )
-    df = pa.table(
-        {
-            "text": [f"s-{i}" for i in range(num_rows)],
-            "vector": pa.FixedSizeListArray.from_arrays(values, dimension),
-        }
-    )
-    table = mem_db.create_table("f16_tbl", data=df)
-    assert table.schema.field("vector").type == pa.list_(pa.float16(), dimension)
-    table.create_index(num_partitions=2, num_sub_vectors=2)
-
-    query = df["vector"][2].as_py()
-    expected = table.search(query).limit(2).to_arrow()
-
-    assert "s-2" in expected["text"].to_pylist()
-
-
 def test_create_f16_table(mem_db: DBConnection):
    class MyTable(LanceModel):
        text: str
        vector: Vector(32, value_type=pa.float16())

-    rng = np.random.default_rng(42)
    df = pa.table(
        {
            "text": [f"s-{i}" for i in range(512)],
-            "vector": [rng.standard_normal(32).astype(np.float16) for _ in range(512)],
+            "vector": [np.random.randn(32).astype(np.float16) for _ in range(512)],
        }
    )
    table = mem_db.create_table(
@@ -2848,52 +2529,6 @@ def test_create_f16_table(mem_db: DBConnection):
    assert "s-2" in expected["text"].to_pylist()


-@pytest.mark.parametrize(
-    "index_config",
-    [
-        IvfPq(distance_type="cosine", num_partitions=2, num_sub_vectors=2),
-        IvfFlat(distance_type="cosine", num_partitions=2),
-    ],
-    ids=["ivf-pq", "ivf-flat"],
-)
-def test_f16_index_search_with_open_batch_reader(mem_db: DBConnection, index_config):
-    """Regression test for https://github.com/lancedb/lancedb/issues/2611."""
-    pytest.importorskip("pandas")
-    dimension = 32
-    num_rows = 512
-    rng = np.random.default_rng(42)
-    text_vectors = rng.standard_normal((num_rows, dimension)).astype(np.float16)
-    image_vectors = rng.standard_normal((num_rows, dimension)).astype(np.float16)
-    data = pa.table(
-        {
-            "id": np.arange(num_rows),
-            "text_embedding": pa.FixedSizeListArray.from_arrays(
-                pa.array(text_vectors.reshape(-1)), dimension
-            ),
-            "image_embedding": pa.FixedSizeListArray.from_arrays(
-                pa.array(image_vectors.reshape(-1)), dimension
-            ),
-        }
-    )
-    table = mem_db.create_table("f16_index_with_open_reader", data=data)
-    table.create_index("image_embedding", config=index_config)
-
-    reader = table.search().select(["id", "text_embedding"]).to_batches()
-    for batch in reader:
-        for _, _row in batch.to_pandas().iterrows():
-            result = (
-                table.search(image_vectors[2], vector_column_name="image_embedding")
-                .select(["id", "_distance"])
-                .distance_type("cosine")
-                .limit(10)
-                .to_pandas()
-            )
-            assert result.iloc[0]["id"] == 2
-            return
-
-    pytest.fail("expected the outer query to return a batch")
-
-
 def test_add_with_embedding_function(mem_db: DBConnection):
    emb = EmbeddingFunctionRegistry.get_instance().get("test").create()

@@ -3452,6 +3087,9 @@ def test_consistency(tmp_path, consistency_interval):

    db2 = lancedb.connect(tmp_path, read_consistency_interval=consistency_interval)
    table2 = db2.open_table("my_table")
+    if consistency_interval is not None:
+        assert "read_consistency_interval=datetime.timedelta(" in repr(db2)
+        assert "read_consistency_interval=datetime.timedelta(" in repr(table2)
    assert table2.version == table.version

    table.add([{"id": 1}])
@@ -3759,8 +3397,7 @@ def test_stats(mem_db: DBConnection):
    stats = table.stats()
    print(f"{stats=}")
    assert stats == {
-        # Full on-disk size of the data file, footer and metadata included.
-        "total_bytes": 633,
+        "total_bytes": 60,
        "num_rows": 2,
        "num_indices": 0,
        "fragment_stats": {
@@ -3778,13 +3415,6 @@ def test_stats(mem_db: DBConnection):
        },
    }

-    # Index files count toward total_bytes too (only deletion files and
-    # manifests are excluded).
-    table.create_index("id", config=BTree())
-    stats_with_index = table.stats()
-    assert stats_with_index["num_indices"] == 1
-    assert stats_with_index["total_bytes"] > stats["total_bytes"]
-

 def test_create_table_empty_list_with_schema(mem_db: DBConnection):
    """Test creating table with empty list data and schema
@@ -3808,8 +3438,8 @@ def test_create_table_empty_list_no_schema_error(mem_db: DBConnection):
        mem_db.create_table("test_empty_no_schema", data=[])


-def test_create_table_without_data_with_vector_schema(tmp_path):
-    """Test exact scenario from issue #1968.
+def test_add_table_with_empty_embeddings(tmp_path):
+    """Test exact scenario from issue #1968

    Regression test for issue #1968:
    https://github.com/lancedb/lancedb/issues/1968
@@ -3821,9 +3451,6 @@ def test_create_table_without_data_with_vector_schema(tmp_path):
        embedding: Vector(16)

    table = db.create_table("test", schema=MySchema)
-    assert table.count_rows() == 0
-    assert table.schema == MySchema.to_arrow_schema()
-
    table.add(
        [{"text": "bar", "embedding": [0.1] * 16}],
        on_bad_vectors="drop",
@@ -75,22 +75,6 @@ class TestVoyageAIModelRegistration:
        with pytest.raises(ValueError, match="not supported"):
            func.ndims()

-    def test_voyage3_source_embeddings_use_text_api(self, mock_voyageai_client):
-        """Regression test for text table data being sent to the multimodal API."""
-        mock_voyageai_client.tokenize.return_value = [["hello", "world"]]
-        mock_voyageai_client.embed.return_value.embeddings = [[0.1] * 1024]
-
-        registry = get_registry()
-        func = registry.get("voyageai").create(name="voyage-3")
-
-        embeddings = func.compute_source_embeddings("hello world")
-
-        assert embeddings == [[0.1] * 1024]
-        mock_voyageai_client.embed.assert_called_once_with(
-            texts=["hello world"], model="voyage-3", input_type="document"
-        )
-        mock_voyageai_client.multimodal_embed.assert_not_called()
-
    @pytest.mark.parametrize(
        "model_name",
        [
@@ -1,15 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-from typing import assert_type
-
-import lancedb
-from lancedb import AsyncConnection, DBConnection
-
-
-def check_connect_type() -> None:
-    assert_type(lancedb.connect("memory://"), DBConnection)
-
-
-async def check_connect_async_type() -> None:
-    assert_type(await lancedb.connect_async("memory://"), AsyncConnection)
@@ -13,11 +13,7 @@ use crate::{
    runtime::future_into_py,
    table::Table,
 };
-use arrow::{
-    datatypes::Schema,
-    ffi_stream::ArrowArrayStreamReader,
-    pyarrow::{FromPyArrow, ToPyArrow},
-};
+use arrow::{datatypes::Schema, ffi_stream::ArrowArrayStreamReader, pyarrow::FromPyArrow};
 use lancedb::{
    connection::Connection as LanceConnection,
    connection::NamespaceClientPushdownOperation,
@@ -28,7 +24,7 @@ use pyo3::{
    Bound, FromPyObject, Py, PyAny, PyRef, PyResult, Python,
    exceptions::{PyRuntimeError, PyValueError},
    pyclass, pyfunction, pymethods,
-    types::{PyDict, PyDictMethods, PyList, PyListMethods},
+    types::{PyDict, PyDictMethods},
 };

 #[pyclass]
@@ -540,55 +536,6 @@ impl Connection {
            })
        })
    }
-
-    pub fn job(&self, job_id: String) -> PyResult<crate::job::Job> {
-        let inner = self.get_inner()?.clone();
-        Ok(crate::job::Job::new(inner.job(job_id).infer_error()?))
-    }
-
-    pub fn list_jobs(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.get_inner()?.clone();
-        future_into_py(self_.py(), async move {
-            let jobs = inner.list_jobs().await.infer_error()?;
-            Ok(jobs
-                .into_iter()
-                .map(crate::job::JobInfo::from)
-                .collect::<Vec<_>>())
-        })
-    }
-
-    pub fn get_job(self_: PyRef<'_, Self>, job_id: String) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.get_inner()?.clone();
-        future_into_py(self_.py(), async move {
-            let description = inner.get_job(&job_id).await.infer_error()?;
-            Ok(description.map(crate::job::JobDescription::from))
-        })
-    }
-
-    pub fn cancel_job(self_: PyRef<'_, Self>, job_id: String) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.get_inner()?.clone();
-        future_into_py(self_.py(), async move {
-            inner.cancel_job(&job_id).await.infer_error()
-        })
-    }
-
-    #[pyo3(signature = (job_id=None))]
-    pub fn job_history(
-        self_: PyRef<'_, Self>,
-        job_id: Option<String>,
-    ) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.get_inner()?.clone();
-        future_into_py(self_.py(), async move {
-            let batches = inner.job_history(job_id.as_deref()).await.infer_error()?;
-            Python::attach(|py| {
-                let list = PyList::empty(py);
-                for batch in batches {
-                    list.append(batch.to_pyarrow(py)?)?;
-                }
-                Ok(list.unbind())
-            })
-        })
-    }
 }

 #[pyfunction]
@@ -102,18 +102,6 @@ impl<T> PythonErrorExt<T> for std::result::Result<T, LanceError> {
                    err.setattr(intern!(py, "__cause__"), cause_err)?;
                    Err(PyErr::from_value(err))
                }),
-                LanceError::JobFailed { .. } => Python::attach(|py| {
-                    let cls = py
-                        .import(intern!(py, "lancedb.exceptions"))?
-                        .getattr(intern!(py, "JobFailedError"))?;
-                    Err(PyErr::from_value(cls.call1((err.to_string(),))?))
-                }),
-                LanceError::JobCancelled { .. } => Python::attach(|py| {
-                    let cls = py
-                        .import(intern!(py, "lancedb.exceptions"))?
-                        .getattr(intern!(py, "JobCancelledError"))?;
-                    Err(PyErr::from_value(cls.call1((err.to_string(),))?))
-                }),
                _ => self.runtime_error(),
            },
        }
@@ -1,145 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-use std::sync::Arc;
-
-use crate::runtime::future_into_py;
-use pyo3::{Bound, PyAny, PyRef, PyResult, pyclass, pymethods};
-
-use crate::error::PythonErrorExt;
-
-#[pyclass]
-pub struct Job {
-    inner: Arc<lancedb::Job>,
-}
-
-impl Job {
-    pub(crate) fn new(inner: lancedb::Job) -> Self {
-        Self {
-            inner: Arc::new(inner),
-        }
-    }
-}
-
-#[pymethods]
-impl Job {
-    #[getter]
-    pub fn id(&self) -> Option<String> {
-        self.inner.id().map(str::to_string)
-    }
-
-    pub fn status(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner.clone();
-        future_into_py(
-            self_.py(),
-            async move { inner.status().await.infer_error() },
-        )
-    }
-
-    pub fn wait(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner.clone();
-        future_into_py(self_.py(), async move {
-            inner.wait().await.infer_error()?;
-            Ok(())
-        })
-    }
-
-    pub fn cancel(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner.clone();
-        future_into_py(self_.py(), async move {
-            inner.cancel().await.infer_error()?;
-            Ok(())
-        })
-    }
-}
-
-/// A row from `Connection.list_jobs`: one server-side job.
-#[pyclass(get_all, skip_from_py_object)]
-#[derive(Clone)]
-pub struct JobInfo {
-    job_id: String,
-    table: String,
-    job_type: String,
-    state: String,
-    created_at_millis: i64,
-}
-
-#[pymethods]
-impl JobInfo {
-    fn __repr__(&self) -> String {
-        format!(
-            "JobInfo(job_id={:?}, table={:?}, job_type={:?}, state={:?}, created_at_millis={})",
-            self.job_id, self.table, self.job_type, self.state, self.created_at_millis
-        )
-    }
-}
-
-impl From<lancedb::database::JobInfo> for JobInfo {
-    fn from(info: lancedb::database::JobInfo) -> Self {
-        Self {
-            job_id: info.job_id,
-            table: info.table,
-            job_type: info.job_type,
-            state: info.state,
-            created_at_millis: info.created_at_millis,
-        }
-    }
-}
-
-/// The server's account of why a job failed.
-#[pyclass(get_all, skip_from_py_object)]
-#[derive(Clone)]
-pub struct JobFailureInfo {
-    phase: Option<String>,
-    message: Option<String>,
-    retryable: Option<bool>,
-}
-
-#[pymethods]
-impl JobFailureInfo {
-    fn __repr__(&self) -> String {
-        format!(
-            "JobFailureInfo(phase={:?}, message={:?}, retryable={:?})",
-            self.phase, self.message, self.retryable
-        )
-    }
-}
-
-/// A described job from `Connection.get_job`.
-#[pyclass(get_all, skip_from_py_object)]
-#[derive(Clone)]
-pub struct JobDescription {
-    job_id: String,
-    job_type: String,
-    state: String,
-    creation_ms: i64,
-    spec_json: Option<String>,
-    failure: Option<JobFailureInfo>,
-}
-
-#[pymethods]
-impl JobDescription {
-    fn __repr__(&self) -> String {
-        format!(
-            "JobDescription(job_id={:?}, job_type={:?}, state={:?}, creation_ms={})",
-            self.job_id, self.job_type, self.state, self.creation_ms
-        )
-    }
-}
-
-impl From<lancedb::database::JobDescription> for JobDescription {
-    fn from(description: lancedb::database::JobDescription) -> Self {
-        Self {
-            job_id: description.job_id,
-            job_type: description.job_type,
-            state: description.state,
-            creation_ms: description.creation_ms,
-            spec_json: (!description.spec.is_null()).then(|| description.spec.to_string()),
-            failure: description.failure.map(|failure| JobFailureInfo {
-                phase: failure.phase,
-                message: failure.message,
-                retryable: failure.retryable,
-            }),
-        }
-    }
-}
@@ -25,7 +25,6 @@ pub mod error;
 pub mod expr;
 pub mod header;
 pub mod index;
-pub mod job;
 pub mod namespace;
 pub mod oauth;
 pub mod otel;
@@ -45,10 +44,6 @@ pub fn _lancedb(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
    m.add_class::<Connection>()?;
    m.add_class::<Session>()?;
    m.add_class::<Table>()?;
-    m.add_class::<crate::job::Job>()?;
-    m.add_class::<crate::job::JobInfo>()?;
-    m.add_class::<crate::job::JobDescription>()?;
-    m.add_class::<crate::job::JobFailureInfo>()?;
    m.add_class::<PyBlobFile>()?;
    m.add_class::<IndexConfig>()?;
    m.add_class::<Query>()?;
@@ -28,72 +28,11 @@ use pyo3::{
    Bound, FromPyObject, Py, PyAny, PyRef, PyResult, Python,
    exceptions::{PyRuntimeError, PyValueError},
    pyclass, pyfunction, pymethods,
-    types::{IntoPyDict, PyAnyMethods, PyBytes, PyDict, PyDictMethods, PyList, PyListMethods},
+    types::{IntoPyDict, PyAnyMethods, PyBytes, PyDict, PyDictMethods},
 };

 mod scannable;

-/// Convert `LsmStats` to a Python dict, preserving the per-bucket list.
-///
-/// Deliberately not flattened to a table-level summary: a table is N
-/// buckets on one node, and the per-bucket detail is the reason the
-/// endpoint exists — flattening hides the single hot bucket someone opened
-/// it to find.
-fn lsm_stats_to_py(py: Python<'_>, stats: &lancedb::table::LsmStats) -> PyResult<Py<PyDict>> {
-    let out = PyDict::new(py);
-    let buckets = PyList::empty(py);
-    for b in &stats.buckets {
-        let e = PyDict::new(py);
-        e.set_item("shard_id", &b.shard_id)?;
-        e.set_item("status", &b.status)?;
-        e.set_item("writer_epoch", b.writer_epoch)?;
-        e.set_item("manifest_version", b.manifest_version)?;
-        e.set_item("current_generation", b.current_generation)?;
-        e.set_item(
-            "replay_after_wal_entry_position",
-            b.replay_after_wal_entry_position,
-        )?;
-        e.set_item(
-            "wal_entry_position_last_seen",
-            b.wal_entry_position_last_seen,
-        )?;
-
-        let generations = PyList::empty(py);
-        for g in &b.generations {
-            let ge = PyDict::new(py);
-            ge.set_item("generation", g.generation)?;
-            ge.set_item("bytes", g.bytes)?;
-            ge.set_item("rows", g.rows)?;
-            generations.append(ge)?;
-        }
-        e.set_item("generations", generations)?;
-        e.set_item("compacting", b.compacting)?;
-
-        e.set_item(
-            "memtables",
-            b.memtables
-                .as_ref()
-                .map(|ms| {
-                    let l = PyList::empty(py);
-                    for m in ms {
-                        let d = PyDict::new(py);
-                        d.set_item("generation", m.generation)?;
-                        d.set_item("rows", m.rows)?;
-                        d.set_item("bytes", m.bytes)?;
-                        d.set_item("batches", m.batches)?;
-                        d.set_item("indexes", m.indexes.clone())?;
-                        l.append(d)?;
-                    }
-                    PyResult::Ok(l.unbind())
-                })
-                .transpose()?,
-        )?;
-        buckets.append(e)?;
-    }
-    out.set_item("buckets", buckets)?;
-    Ok(out.unbind())
-}
-
 #[derive(FromPyObject)]
 enum PredicateArg {
    Expr(PyExpr),
@@ -246,22 +185,12 @@ impl From<lancedb::table::MergeResult> for MergeResult {
    }
 }

-/// Render for `__repr__`, so the default reads as Python's `None` rather than
-/// Rust's `Some([..])`.
-fn fmt_maintained(maintained: &Option<Vec<String>>) -> String {
-    match maintained {
-        Some(names) => format!("{:?}", names),
-        None => "None".to_string(),
-    }
-}
-
 /// Specification selecting Lance's MemWAL LSM-style write path for
 /// `merge_insert`.
 ///
 /// Constructed via the `bucket(...)`, `identity(...)`, or `unsharded()`
 /// classmethods, then optionally chain `with_maintained_indexes(...)` and
-/// `with_writer_config_defaults(...)`. A fresh spec maintains every index the
-/// MemWAL supports, resolved on install.
+/// `with_writer_config_defaults(...)`.
 #[pyclass(from_py_object)]
 #[derive(Clone, Debug)]
 pub struct LsmWriteSpec {
@@ -301,11 +230,11 @@ impl LsmWriteSpec {
        }
    }

-    /// Set which indexes the MemWAL maintains. `None` (the default)
-    /// resolves every supported index on install; a list is verbatim,
-    /// and an empty list maintains nothing.
-    #[pyo3(signature = (indexes))]
-    pub fn with_maintained_indexes(&self, indexes: Option<Vec<String>>) -> Self {
+    /// Replace the list of indexes the MemWAL should keep up to date as
+    /// rows are appended. Each name must reference an index that
+    /// already exists on the table at the time `set_lsm_write_spec`
+    /// is called.
+    pub fn with_maintained_indexes(&self, indexes: Vec<String>) -> Self {
        Self {
            inner: self.inner.clone().with_maintained_indexes(indexes),
        }
@@ -327,29 +256,23 @@ impl LsmWriteSpec {
                maintained_indexes,
                writer_config_defaults,
            } => format!(
-                "LsmWriteSpec.bucket(column={:?}, num_buckets={}, maintained_indexes={}, writer_config_defaults={:?})",
-                column,
-                num_buckets,
-                fmt_maintained(maintained_indexes),
-                writer_config_defaults,
+                "LsmWriteSpec.bucket(column={:?}, num_buckets={}, maintained_indexes={:?}, writer_config_defaults={:?})",
+                column, num_buckets, maintained_indexes, writer_config_defaults,
            ),
            lancedb::table::LsmWriteSpec::Identity {
                column,
                maintained_indexes,
                writer_config_defaults,
            } => format!(
-                "LsmWriteSpec.identity(column={:?}, maintained_indexes={}, writer_config_defaults={:?})",
-                column,
-                fmt_maintained(maintained_indexes),
-                writer_config_defaults,
+                "LsmWriteSpec.identity(column={:?}, maintained_indexes={:?}, writer_config_defaults={:?})",
+                column, maintained_indexes, writer_config_defaults,
            ),
            lancedb::table::LsmWriteSpec::Unsharded {
                maintained_indexes,
                writer_config_defaults,
            } => format!(
-                "LsmWriteSpec.unsharded(maintained_indexes={}, writer_config_defaults={:?})",
-                fmt_maintained(maintained_indexes),
-                writer_config_defaults,
+                "LsmWriteSpec.unsharded(maintained_indexes={:?}, writer_config_defaults={:?})",
+                maintained_indexes, writer_config_defaults,
            ),
        }
    }
@@ -384,10 +307,10 @@ impl LsmWriteSpec {
        }
    }

-    /// Indexes the MemWAL keeps up to date, or `None` for every supported one.
+    /// Names of indexes the MemWAL should keep up to date during writes.
    #[getter]
-    pub fn maintained_indexes(&self) -> Option<Vec<String>> {
-        self.inner.maintained_indexes().map(<[String]>::to_vec)
+    pub fn maintained_indexes(&self) -> Vec<String> {
+        self.inner.maintained_indexes().to_vec()
    }

    /// Default `ShardWriter` configuration recorded by this spec.
@@ -503,11 +426,9 @@ pub struct PyBlobFile {
 impl PyBlobFile {
    fn read_bytes(self_: PyRef<'_, Self>) -> PyResult<Py<PyBytes>> {
        let inner = self_.inner.clone();
-        let py = self_.py();
-        let bytes = py
-            .detach(move || block_on(async move { inner.read().await }))
+        let bytes = block_on(async move { inner.read().await })
            .map_err(|e| PyRuntimeError::new_err(format!("blob read failed: {e}")))?;
-        Ok(PyBytes::new(py, bytes.as_ref()).unbind())
+        Ok(PyBytes::new(self_.py(), bytes.as_ref()).unbind())
    }

    pub fn read(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
@@ -523,32 +444,24 @@ impl PyBlobFile {

    fn close(self_: PyRef<'_, Self>) -> PyResult<()> {
        let inner = self_.inner.clone();
-        self_
-            .py()
-            .detach(move || block_on(async move { inner.close().await }))
+        block_on(async move { inner.close().await })
            .map_err(|e| PyRuntimeError::new_err(format!("blob close failed: {e}")))
    }

    fn is_closed(self_: PyRef<'_, Self>) -> bool {
        let inner = self_.inner.clone();
-        self_
-            .py()
-            .detach(move || block_on(async move { inner.is_closed().await }))
+        block_on(async move { inner.is_closed().await })
    }

    fn seek(self_: PyRef<'_, Self>, position: u64) -> PyResult<()> {
        let inner = self_.inner.clone();
-        self_
-            .py()
-            .detach(move || block_on(async move { inner.seek(position).await }))
+        block_on(async move { inner.seek(position).await })
            .map_err(|e| PyRuntimeError::new_err(format!("blob seek failed: {e}")))
    }

    fn tell(self_: PyRef<'_, Self>) -> PyResult<u64> {
        let inner = self_.inner.clone();
-        self_
-            .py()
-            .detach(move || block_on(async move { inner.tell().await }))
+        block_on(async move { inner.tell().await })
            .map_err(|e| PyRuntimeError::new_err(format!("blob tell failed: {e}")))
    }

@@ -562,20 +475,16 @@ impl PyBlobFile {
            .checked_add(length as u64)
            .ok_or_else(|| PyValueError::new_err("offset + length overflowed"))?;
        let inner = self_.inner.clone();
-        let py = self_.py();
-        let bytes = py
-            .detach(move || block_on(async move { inner.read_range(offset..end).await }))
+        let bytes = block_on(async move { inner.read_range(offset..end).await })
            .map_err(|e| PyRuntimeError::new_err(format!("blob read_range failed: {e}")))?;
-        Ok(PyBytes::new(py, bytes.as_ref()).unbind())
+        Ok(PyBytes::new(self_.py(), bytes.as_ref()).unbind())
    }

    fn read_up_to(self_: PyRef<'_, Self>, length: usize) -> PyResult<Py<PyBytes>> {
        let inner = self_.inner.clone();
-        let py = self_.py();
-        let bytes = py
-            .detach(move || block_on(async move { inner.read_up_to(length).await }))
-            .map_err(|e| PyRuntimeError::new_err(format!("blob read_up_to failed: {e}")))?;
-        Ok(PyBytes::new(py, bytes.as_ref()).unbind())
+        let bytes = block_on(async move { inner.read_up_to(length).await })
+            .map_err(|e| PyRuntimeError::new_err(format!("blob read failed: {e}")))?;
+        Ok(PyBytes::new(self_.py(), bytes.as_ref()).unbind())
    }
 }

@@ -822,9 +731,6 @@ impl Table {

    #[allow(private_interfaces)]
    pub fn delete(self_: PyRef<'_, Self>, condition: PredicateArg) -> PyResult<Bound<'_, PyAny>> {
-        // Do not hold the Python borrow across the await.  The cloned Rust table
-        // handle is thread-safe and allows deletes on the same Python table to
-        // run concurrently without PyO3 reporting "Already borrowed".
        let inner = self_.inner_ref()?.clone();
        future_into_py(self_.py(), async move {
            let result = match &condition {
@@ -899,37 +805,6 @@ impl Table {
        })
    }

-    #[pyo3(signature = (column, index=None, replace=None, wait_timeout=None, *, name=None, train=None))]
-    pub fn create_index_async<'a>(
-        self_: PyRef<'a, Self>,
-        column: String,
-        index: Option<Bound<'_, PyAny>>,
-        replace: Option<bool>,
-        wait_timeout: Option<Bound<'_, PyAny>>,
-        name: Option<String>,
-        train: Option<bool>,
-    ) -> PyResult<Bound<'a, PyAny>> {
-        let index = extract_index_params(&index)?;
-        let timeout = wait_timeout.map(|t| t.extract::<std::time::Duration>().unwrap());
-        let mut op = self_
-            .inner_ref()?
-            .create_index_with_timeout(&[column], index, timeout);
-        if let Some(replace) = replace {
-            op = op.replace(replace);
-        }
-        if let Some(name) = name {
-            op = op.name(name);
-        }
-        if let Some(train) = train {
-            op = op.train(train);
-        }
-
-        future_into_py(self_.py(), async move {
-            let job = op.execute_async().await.infer_error()?;
-            Ok(crate::job::Job::new(job))
-        })
-    }
-
    pub fn drop_index(self_: PyRef<'_, Self>, index_name: String) -> PyResult<Bound<'_, PyAny>> {
        let inner = self_.inner_ref()?.clone();
        future_into_py(self_.py(), async move {
@@ -1416,51 +1291,6 @@ impl Table {
        })
    }

-    /// Converge the table's LSM write path into its base table.
-    ///
-    /// Best-effort: with writes flowing, new rows may land after the last
-    /// pass. Errors if the table stops making progress.
-    pub fn checkpoint_lsm(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner_ref()?.clone();
-        future_into_py(self_.py(), async move {
-            inner.checkpoint_lsm().await.infer_error()
-        })
-    }
-
-    /// Seal every bucket's active memtable into L0.
-    pub fn flush_lsm(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner_ref()?.clone();
-        future_into_py(
-            self_.py(),
-            async move { inner.flush_lsm().await.infer_error() },
-        )
-    }
-
-    /// Trigger a background L0 → base pass per bucket. Returns once the
-    /// passes are dispatched, not once they finish — watch `get_lsm_stats`.
-    pub fn compact_lsm(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner_ref()?.clone();
-        future_into_py(self_.py(), async move {
-            inner.compact_lsm().await.infer_error()
-        })
-    }
-
-    /// Live LSM state, or `None` when the LSM write path is not enabled.
-    #[pyo3(signature = (include_generation_rows=false))]
-    pub fn get_lsm_stats(
-        self_: PyRef<'_, Self>,
-        include_generation_rows: bool,
-    ) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner_ref()?.clone();
-        future_into_py(self_.py(), async move {
-            let stats = inner
-                .get_lsm_stats(include_generation_rows)
-                .await
-                .infer_error()?;
-            Python::attach(|py| stats.map(|s| lsm_stats_to_py(py, &s)).transpose())
-        })
-    }
-
    pub fn close_lsm_writers(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
        let inner = self_.inner_ref()?.clone();
        future_into_py(self_.py(), async move {
@@ -1500,12 +1330,7 @@ impl Table {

        let inner = self_.inner_ref()?.clone();
        future_into_py(self_.py(), async move {
-            let result = inner
-                .add_columns()
-                .transform(definitions)
-                .execute()
-                .await
-                .infer_error()?;
+            let result = inner.add_columns(definitions, None).await.infer_error()?;
            Ok(AddColumnsResult::from(result))
        })
    }
@@ -1519,12 +1344,7 @@ impl Table {

        let inner = self_.inner_ref()?.clone();
        future_into_py(self_.py(), async move {
-            let result = inner
-                .add_columns()
-                .transform(transform)
-                .execute()
-                .await
-                .infer_error()?;
+            let result = inner.add_columns(transform, None).await.infer_error()?;
            Ok(AddColumnsResult::from(result))
        })
    }
@@ -1,2 +1,2 @@
 [toolchain]
-channel = "1.97.0"
+channel = "1.95.0"
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb"
-version = "0.37.1-beta.1"
+version = "0.37.1-beta.0"
 edition.workspace = true
 description = "LanceDB: A serverless, low-latency vector database for AI applications"
 license.workspace = true
@@ -49,8 +49,8 @@ lance-namespace = { workspace = true }
 lance-namespace-impls = { workspace = true }
 metrics = { workspace = true, optional = true }
 metrics-util = { workspace = true, optional = true }
-# Pin the GooseFS SDK to the version required by Lance's OpenDAL dependency.
-goosefs-sdk = { version = "=0.1.9", optional = true }
+# Pin the transitive GooseFS SDK until the 0.1.6 compile break is fixed upstream.
+goosefs-sdk = { version = "=0.1.5", optional = true }
 moka = { workspace = true }
 pin-project = { workspace = true }
 tokio = { version = "1.23", features = ["rt-multi-thread", "sync"] }
@@ -75,8 +75,6 @@ reqwest = { version = "0.12.0", default-features = false, features = [
    "http2",
    "json",
    "macos-system-configuration",
-    # Avoid linking OpenSSL into Python wheels, which breaks on FIPS hosts.
-    "rustls-tls-native-roots",
    "stream",
 ], optional = true }
 http = { version = "1", optional = true } # Matching what is in reqwest
@@ -100,8 +98,7 @@ anyhow = "1"
 lance-testing = { workspace = true }
 tempfile = "3.5.0"
 random_word = { version = "0.4.3", features = ["en"] }
-roaring = "0.11.4"
-tokio = { version = "1.23", features = ["io-util", "macros", "net", "rt-multi-thread", "sync", "test-util"] }
+tokio = { version = "1.23", features = ["io-util", "macros", "net", "rt-multi-thread", "sync"] }
 uuid = { version = "1.7.0", features = ["v4"] }
 walkdir = "2"
 aws-sdk-dynamodb = { version = "1.55.0" }
@@ -9,7 +9,6 @@
 //!
 //! Blob tables require Lance file format >= 2.2 and stable row ids at create.

-use std::ops::Range;
 use std::sync::Arc;

 use arrow_array::LargeBinaryArray;
@@ -17,203 +16,11 @@ use arrow_array::builder::LargeBinaryBuilder;
 use arrow_schema::{DataType, Field, Schema};
 use lance::dataset::{BlobRangeRequest as LanceBlobRangeRequest, Dataset, WriteParams};
 use lance_arrow::FieldExt;
-use lance_file::version::LanceFileVersion;
-use lance_io::object_store::ObjectStore;
-use object_store::path::Path;
+use lance_encoding::version::LanceFileVersion;

 use crate::error::{Error, Result};

-/// Seekable handle for one blob value, backed by local storage or a remote
-/// HTTP byte-range endpoint.
-#[derive(Debug)]
-pub struct BlobFile {
-    inner: BlobFileInner,
-}
-
-#[derive(Debug)]
-enum BlobFileInner {
-    Native(lance::dataset::BlobFile),
-    #[cfg(feature = "remote")]
-    Remote(Box<crate::remote::table::blobs::RemoteBlobFile>),
-}
-
-impl From<lance::dataset::BlobFile> for BlobFile {
-    fn from(value: lance::dataset::BlobFile) -> Self {
-        Self {
-            inner: BlobFileInner::Native(value),
-        }
-    }
-}
-
-#[cfg(feature = "remote")]
-impl From<crate::remote::table::blobs::RemoteBlobFile> for BlobFile {
-    fn from(value: crate::remote::table::blobs::RemoteBlobFile) -> Self {
-        Self {
-            inner: BlobFileInner::Remote(Box::new(value)),
-        }
-    }
-}
-
-impl BlobFile {
-    /// Inline reader over a data-file slice.
-    pub fn new_inline(
-        object_store: Arc<ObjectStore>,
-        path: Path,
-        position: u64,
-        size: u64,
-    ) -> Self {
-        lance::dataset::BlobFile::new_inline(object_store, path, position, size).into()
-    }
-
-    /// Dedicated sidecar-file reader.
-    pub fn new_dedicated(object_store: Arc<ObjectStore>, path: Path, size: u64) -> Self {
-        lance::dataset::BlobFile::new_dedicated(object_store, path, size).into()
-    }
-
-    /// Packed reader for a slice in a shared sidecar.
-    pub fn new_packed(
-        object_store: Arc<ObjectStore>,
-        path: Path,
-        position: u64,
-        size: u64,
-    ) -> Self {
-        lance::dataset::BlobFile::new_packed(object_store, path, position, size).into()
-    }
-
-    /// External reader at a resolved object location.
-    pub fn new_external(
-        object_store: Arc<ObjectStore>,
-        path: Path,
-        uri: String,
-        position: u64,
-        size: u64,
-    ) -> Self {
-        lance::dataset::BlobFile::new_external(object_store, path, uri, position, size).into()
-    }
-
-    /// Close the handle.
-    pub async fn close(&self) -> lance_core::Result<()> {
-        match &self.inner {
-            BlobFileInner::Native(file) => file.close().await,
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(file) => file.close().await,
-        }
-    }
-
-    /// Whether the handle is closed.
-    pub async fn is_closed(&self) -> bool {
-        match &self.inner {
-            BlobFileInner::Native(file) => file.is_closed().await,
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(file) => file.is_closed(),
-        }
-    }
-
-    /// Read a range without moving the cursor.
-    pub async fn read_range(&self, range: Range<u64>) -> lance_core::Result<bytes::Bytes> {
-        match &self.inner {
-            BlobFileInner::Native(file) => file.read_range(range).await,
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(file) => file.read_range(range).await,
-        }
-    }
-
-    /// Read ranges without moving the cursor.
-    pub async fn read_ranges(
-        &self,
-        ranges: &[Range<u64>],
-    ) -> lance_core::Result<Vec<bytes::Bytes>> {
-        match &self.inner {
-            BlobFileInner::Native(file) => file.read_ranges(ranges).await,
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(file) => file.read_ranges(ranges).await,
-        }
-    }
-
-    /// Read from the cursor to the end.
-    pub async fn read(&self) -> lance_core::Result<bytes::Bytes> {
-        match &self.inner {
-            BlobFileInner::Native(file) => file.read().await,
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(file) => file.read().await,
-        }
-    }
-
-    /// Read up to `len` bytes and advance the cursor.
-    pub async fn read_up_to(&self, len: usize) -> lance_core::Result<bytes::Bytes> {
-        match &self.inner {
-            BlobFileInner::Native(file) => file.read_up_to(len).await,
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(file) => file.read_up_to(len).await,
-        }
-    }
-
-    /// Move the cursor to `new_cursor`.
-    pub async fn seek(&self, new_cursor: u64) -> lance_core::Result<()> {
-        match &self.inner {
-            BlobFileInner::Native(file) => file.seek(new_cursor).await,
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(file) => file.seek(new_cursor).await,
-        }
-    }
-
-    /// Current cursor position.
-    pub async fn tell(&self) -> lance_core::Result<u64> {
-        match &self.inner {
-            BlobFileInner::Native(file) => file.tell().await,
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(file) => file.tell().await,
-        }
-    }
-
-    /// Blob length in bytes.
-    pub fn size(&self) -> u64 {
-        match &self.inner {
-            BlobFileInner::Native(file) => file.size(),
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(file) => file.size(),
-        }
-    }
-
-    /// Physical byte offset in the data file. `None` on remote handles. The
-    /// Cloud byte-range route does not expose storage layout.
-    pub fn position(&self) -> Option<u64> {
-        match &self.inner {
-            BlobFileInner::Native(file) => Some(file.position()),
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(_) => None,
-        }
-    }
-
-    /// Path of the data file holding the blob. `None` on remote handles. The
-    /// Cloud byte-range route does not expose storage layout.
-    pub fn data_path(&self) -> Option<&Path> {
-        match &self.inner {
-            BlobFileInner::Native(file) => Some(file.data_path()),
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(_) => None,
-        }
-    }
-
-    /// Native storage layout. `None` on remote handles. The Cloud byte-range
-    /// route does not expose layout.
-    pub fn kind(&self) -> Option<lance_core::datatypes::BlobKind> {
-        match &self.inner {
-            BlobFileInner::Native(file) => Some(file.kind()),
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(_) => None,
-        }
-    }
-
-    /// External URI for native handles. Remote handles do not expose storage URIs.
-    pub fn uri(&self) -> Option<&str> {
-        match &self.inner {
-            BlobFileInner::Native(file) => file.uri(),
-            #[cfg(feature = "remote")]
-            BlobFileInner::Remote(_) => None,
-        }
-    }
-}
+pub use lance::dataset::BlobFile;

 /// One row-specific blob range read request.
 ///
@@ -457,10 +264,7 @@ pub(crate) async fn take_blob_files_aligned(

    let handles = dataset.take_blobs(row_ids, column).await?;
    ensure_all_row_ids_resolved(column, row_ids.len(), handles.len())?;
-    Ok(handles
-        .into_iter()
-        .map(|handle| handle.map(Into::into))
-        .collect())
+    Ok(handles)
 }

 #[cfg(test)]
@@ -23,8 +23,8 @@ use crate::connection::create_table::CreateTableBuilder;
 use crate::data::scannable::Scannable;
 use crate::database::listing::ListingDatabase;
 use crate::database::{
-    CloneTableRequest, Database, DatabaseOptions, JobDescription, JobInfo, OpenTableRequest,
-    ReadConsistency, TableNamesRequest,
+    CloneTableRequest, Database, DatabaseOptions, OpenTableRequest, ReadConsistency,
+    TableNamesRequest,
 };
 use crate::embeddings::{EmbeddingRegistry, MemoryRegistry};
 use crate::error::{Error, Result};
@@ -34,7 +34,7 @@ use crate::remote::{
    db::{OPT_REMOTE_API_KEY, OPT_REMOTE_HOST_OVERRIDE, OPT_REMOTE_REGION},
 };
 use lance::io::ObjectStoreParams;
-pub use lance_file::version::LanceFileVersion;
+pub use lance_encoding::version::LanceFileVersion;
 #[cfg(feature = "remote")]
 use lance_io::object_store::StorageOptions;
 use lance_io::object_store::{StorageOptionsAccessor, StorageOptionsProvider};
@@ -456,10 +456,6 @@ impl Connection {
    ///
    /// # Returns
    /// Created [`TableRef`], or [`Error::TableNotFound`] if the table does not exist.
-    /// If the table's storage is present but holds no readable dataset (for example a
-    /// `<name>.lance` directory left behind by an interrupted drop and re-create, which
-    /// [`Self::table_names`] still lists) this returns [`Error::TableCorrupted`]
-    /// instead.
    pub fn open_table(&self, name: impl Into<String>) -> OpenTableBuilder {
        OpenTableBuilder::new(
            self.internal.clone(),
@@ -517,39 +513,6 @@ impl Connection {
        self.internal.read_consistency().await
    }

-    /// A [`crate::job::Job`] handle for a server-side job by id, suitable for
-    /// waiting on or cancelling the job.
-    ///
-    /// The handle is constructed without a server round trip; an unknown id
-    /// surfaces when the handle is used. Only server-backed databases support
-    /// job handles by id.
-    pub fn job(&self, job_id: impl AsRef<str>) -> Result<crate::job::Job> {
-        self.internal.job(job_id.as_ref())
-    }
-
-    /// List server-side jobs across the database's tables.
-    pub async fn list_jobs(&self) -> Result<Vec<JobInfo>> {
-        self.internal.list_jobs().await
-    }
-
-    /// Describe a single server-side job by id. `None` when the server has no
-    /// such job.
-    pub async fn get_job(&self, job_id: impl AsRef<str>) -> Result<Option<JobDescription>> {
-        self.internal.get_job(job_id.as_ref()).await
-    }
-
-    /// Request cancellation of a server-side job by id. Returns true if the
-    /// server accepted the cancellation, false if no such job exists.
-    pub async fn cancel_job(&self, job_id: impl AsRef<str>) -> Result<bool> {
-        self.internal.cancel_job(job_id.as_ref()).await
-    }
-
-    /// The lifecycle event history of a server-side job (all jobs when
-    /// `job_id` is `None`), as recorded Arrow batches.
-    pub async fn job_history(&self, job_id: Option<&str>) -> Result<Vec<RecordBatch>> {
-        self.internal.job_history(job_id).await
-    }
-
    /// Drop a table in the database.
    ///
    /// # Arguments
@@ -202,17 +202,6 @@ mod tests {
        assert_eq!(table.count_rows(None).await.unwrap(), 0);
    }

-    #[tokio::test]
-    async fn create_table_in_named_memory_database() {
-        let db = connect("memory://foo").execute().await.unwrap();
-        let batch = record_batch!(("id", Int64, [1, 2, 3])).unwrap();
-
-        let table = db.create_table("my_table", batch).execute().await.unwrap();
-
-        assert_eq!(table.uri().await.unwrap(), "memory://foo/my_table.lance");
-        assert_eq!(table.count_rows(None).await.unwrap(), 3);
-    }
-
    async fn test_create_table_with_data<T>(data: T)
    where
        T: Scannable + 'static,
@@ -18,8 +18,6 @@ use std::collections::HashMap;
 use std::sync::Arc;
 use std::time::Duration;

-use arrow_array::RecordBatch;
-
 use lance::dataset::ReadParams;
 use lance_namespace::LanceNamespace;
 use lance_namespace::models::{
@@ -202,45 +200,6 @@ pub enum ReadConsistency {
    Strong,
 }

-/// A row from [`Database::list_jobs`]: one server-side job (index build,
-/// compaction, column refresh, ...).
-#[derive(Debug, Clone)]
-pub struct JobInfo {
-    /// The job id -- what [`Database::get_job`] and [`Database::cancel_job`]
-    /// accept.
-    pub job_id: String,
-    /// The table the job runs against, without URI or namespace.
-    pub table: String,
-    pub job_type: String,
-    /// Lifecycle state: "running", "finished", "failed", or "cancelled".
-    pub state: String,
-    /// When the job was created, in milliseconds since the epoch.
-    pub created_at_millis: i64,
-}
-
-/// A described job from [`Database::get_job`]: lifecycle state plus the
-/// job-type-specific specification.
-#[derive(Debug, Clone)]
-pub struct JobDescription {
-    pub job_id: String,
-    pub job_type: String,
-    /// Lifecycle state: "running", "finished", "failed", or "cancelled".
-    pub state: String,
-    /// When the job was created, in milliseconds since the epoch.
-    pub creation_ms: i64,
-    /// The job-type-specific specification. Null when the server omits it.
-    pub spec: serde_json::Value,
-    /// Why the job failed, when the job is failed and the server reports a
-    /// reason.
-    pub failure: Option<crate::error::JobFailure>,
-}
-
-fn job_op_not_supported<T>(what: &str) -> Result<T> {
-    Err(crate::error::Error::NotSupported {
-        message: format!("{} is not supported by this database", what),
-    })
-}
-
 /// The `Database` trait defines the interface for database implementations.
 ///
 /// A database is responsible for managing tables and their metadata.
@@ -286,31 +245,6 @@ pub trait Database:
    ///
    /// See [`CloneTableRequest`] for detailed documentation and examples.
    async fn clone_table(&self, request: CloneTableRequest) -> Result<Arc<dyn BaseTable>>;
-    /// A [`crate::job::Job`] handle for a server-side job by id, suitable for
-    /// waiting on or cancelling the job. The handle is constructed without a
-    /// server round trip; an unknown id surfaces when the handle is used.
-    fn job(&self, _job_id: &str) -> Result<crate::job::Job> {
-        job_op_not_supported("job")
-    }
-    /// List server-side jobs across the database's tables.
-    async fn list_jobs(&self) -> Result<Vec<JobInfo>> {
-        job_op_not_supported("list_jobs")
-    }
-    /// Describe a single job by id. `None` when the server has no such job.
-    async fn get_job(&self, _job_id: &str) -> Result<Option<JobDescription>> {
-        job_op_not_supported("get_job")
-    }
-    /// Request cancellation of a job by id. Returns true if the server
-    /// accepted the cancellation, false if no such job exists. Cancelling an
-    /// already-terminal job is a no-op success.
-    async fn cancel_job(&self, _job_id: &str) -> Result<bool> {
-        job_op_not_supported("cancel_job")
-    }
-    /// The lifecycle event history of a job (all jobs when `job_id` is
-    /// `None`), as recorded Arrow batches.
-    async fn job_history(&self, _job_id: Option<&str>) -> Result<Vec<RecordBatch>> {
-        job_op_not_supported("job_history")
-    }
    /// Open a table in the database
    async fn open_table(&self, request: OpenTableRequest) -> Result<Arc<dyn BaseTable>>;
    /// Rename a table in the database
@@ -12,7 +12,7 @@ use lance::dataset::refs::Ref;
 use lance::dataset::{ReadParams, WriteMode, builder::DatasetBuilder};
 use lance::io::{ObjectStore, ObjectStoreParams, WrappingObjectStore};
 use lance_datafusion::utils::StreamingWriteSource;
-use lance_file::version::LanceFileVersion;
+use lance_encoding::version::LanceFileVersion;
 use lance_io::object_store::{StorageOptionsAccessor, StorageOptionsProvider};
 use lance_table::io::commit::commit_handler_from_url;
 use object_store::local::LocalFileSystem;
@@ -1294,11 +1294,9 @@ mod tests {
    use crate::connection::ConnectRequest;
    use crate::data::scannable::Scannable;
    use crate::database::{CreateTableMode, CreateTableRequest};
-    use crate::query::QueryRequest;
-    use crate::table::{AnyQuery, WriteOptions};
+    use crate::table::WriteOptions;
    use arrow_array::{Int32Array, RecordBatch, StringArray};
    use arrow_schema::{DataType, Field, Schema};
-    use futures::TryStreamExt;
    use std::path::PathBuf;
    use tempfile::tempdir;

@@ -1378,156 +1376,6 @@ mod tests {
        assert!(!tempdir.path().join("__manifest").exists());
    }

-    /// Regression test for https://github.com/lancedb/lancedb/issues/1600.
-    ///
-    /// Opening a table used to create a separate object-store client instead of
-    /// reusing the one that successfully connected to the database.  Repeating
-    /// credential discovery made S3 table opens intermittent, especially in AWS
-    /// Lambda, and the failed open was reported as `TableNotFound`.
-    #[tokio::test]
-    async fn test_open_table_reuses_connection_object_store() {
-        let tempdir = tempdir().unwrap();
-        let uri = tempdir.path().to_str().unwrap();
-        let registry = Arc::new(lance_io::object_store::ObjectStoreRegistry::default());
-        let session = Arc::new(lance::session::Session::new(16, 16, registry.clone()));
-
-        let request = ConnectRequest {
-            uri: uri.to_string(),
-            #[cfg(feature = "remote")]
-            client_config: Default::default(),
-            options: Default::default(),
-            namespace_client_properties: Default::default(),
-            manifest_enabled: false,
-            read_consistency_interval: None,
-            session: Some(session),
-        };
-        let db = ListingDatabase::connect_with_options(&request)
-            .await
-            .unwrap();
-
-        let schema = Arc::new(Schema::new(vec![Field::new("id", DataType::Int32, false)]));
-        db.create_table(CreateTableRequest {
-            name: "test".to_string(),
-            namespace_path: vec![],
-            data: Box::new(RecordBatch::new_empty(schema)) as Box<dyn Scannable>,
-            mode: CreateTableMode::Create,
-            write_options: Default::default(),
-            location: None,
-            namespace_client: None,
-        })
-        .await
-        .unwrap();
-
-        let before_open = registry.stats();
-        for _ in 0..3 {
-            let table = db
-                .open_table(OpenTableRequest {
-                    name: "test".to_string(),
-                    namespace_path: vec![],
-                    index_cache_size: None,
-                    lance_read_params: None,
-                    location: None,
-                    namespace_client: None,
-                    managed_versioning: None,
-                })
-                .await
-                .unwrap();
-            assert_eq!(table.count_rows(None).await.unwrap(), 0);
-        }
-
-        let after_open = registry.stats();
-        assert_eq!(after_open.misses, before_open.misses);
-        assert!(after_open.hits >= before_open.hits + 3);
-    }
-
-    /// Regression test for https://github.com/lancedb/lancedb/issues/3197.
-    #[cfg(unix)]
-    #[tokio::test]
-    async fn test_open_table_follows_hugging_face_symlinks() {
-        let (tempdir, db) = setup_database().await;
-        let schema = Arc::new(Schema::new(vec![Field::new("id", DataType::Int32, false)]));
-        db.create_table(CreateTableRequest {
-            name: "test".to_string(),
-            namespace_path: vec![],
-            data: Box::new(
-                RecordBatch::try_new(schema, vec![Arc::new(Int32Array::from(vec![1, 2, 3]))])
-                    .unwrap(),
-            ) as Box<dyn Scannable>,
-            mode: CreateTableMode::Create,
-            write_options: Default::default(),
-            location: None,
-            namespace_client: None,
-        })
-        .await
-        .unwrap();
-
-        let table_dir = tempdir.path().join("test.lance");
-        let versions_dir = table_dir.join("_versions");
-        let manifest_path = std::fs::read_dir(&versions_dir)
-            .unwrap()
-            .map(|entry| entry.unwrap().path())
-            .find(|path| path.extension().is_some_and(|ext| ext == "manifest"))
-            .unwrap();
-        let data_path = std::fs::read_dir(table_dir.join("data"))
-            .unwrap()
-            .map(|entry| entry.unwrap().path())
-            .find(|path| path.extension().is_some_and(|ext| ext == "lance"))
-            .unwrap();
-
-        // Hugging Face snapshots keep dataset objects in a separate blob directory and
-        // expose them through relative symlinks.
-        let blobs_dir = tempdir.path().join("blobs");
-        std::fs::create_dir(&blobs_dir).unwrap();
-        let manifest_blob = "9b603c63d0e692e05d58be25605f2f2064cc781e5ff94fe983a405059547b816";
-        let data_blob = "be64f20e5723bd0a27cfdbdb41cf7d6fad94cd572a71973b717fb8340f4310c5";
-        std::fs::rename(&manifest_path, blobs_dir.join(manifest_blob)).unwrap();
-        std::fs::rename(&data_path, blobs_dir.join(data_blob)).unwrap();
-        std::os::unix::fs::symlink(Path::new("../../blobs").join(manifest_blob), &manifest_path)
-            .unwrap();
-        std::os::unix::fs::symlink(Path::new("../../blobs").join(data_blob), &data_path).unwrap();
-        let symlink_len = std::fs::symlink_metadata(&manifest_path).unwrap().len();
-        let target_len = std::fs::metadata(&manifest_path).unwrap().len();
-        assert_ne!(symlink_len, target_len);
-
-        drop(db);
-        let db = ListingDatabase::connect_with_options(&ConnectRequest {
-            uri: tempdir.path().to_str().unwrap().to_string(),
-            #[cfg(feature = "remote")]
-            client_config: Default::default(),
-            options: Default::default(),
-            namespace_client_properties: Default::default(),
-            manifest_enabled: false,
-            read_consistency_interval: None,
-            session: None,
-        })
-        .await
-        .unwrap();
-
-        let table = db
-            .open_table(OpenTableRequest {
-                name: "test".to_string(),
-                namespace_path: vec![],
-                index_cache_size: None,
-                lance_read_params: None,
-                location: None,
-                namespace_client: None,
-                managed_versioning: None,
-            })
-            .await
-            .unwrap();
-        let batches = table
-            .query(
-                &AnyQuery::Query(QueryRequest::default()),
-                Default::default(),
-            )
-            .await
-            .unwrap()
-            .try_collect::<Vec<_>>()
-            .await
-            .unwrap();
-        assert_eq!(batches.iter().map(RecordBatch::num_rows).sum::<usize>(), 3);
-    }
-
    #[tokio::test]
    async fn test_clone_table_basic() {
        let (_tempdir, db) = setup_database().await;
@@ -2432,7 +2280,7 @@ mod tests {

    #[tokio::test]
    async fn test_table_uri() {
-        let (_tempdir, mut db) = setup_database().await;
+        let (_tempdir, db) = setup_database().await;

        let mut pb = PathBuf::new();
        pb.push(db.uri.clone());
@@ -2441,18 +2289,6 @@ mod tests {
        let expected = pb.to_str().unwrap();
        let uri = db.table_uri("test").ok().unwrap();
        assert_eq!(uri, expected);
-
-        // URI paths always use forward slashes, even on Windows. Using
-        // `Path::join` here used to produce `az://container/prefix\\test.lance`,
-        // which Azure treated as a different object from the table returned by
-        // `table_names` (https://github.com/lancedb/lancedb/issues/1072).
-        for base_uri in ["az://container/prefix", "az://container/prefix/"] {
-            db.uri = base_uri.to_string();
-            assert_eq!(
-                db.table_uri("test").unwrap(),
-                "az://container/prefix/test.lance"
-            );
-        }
    }

    /// Regression: connecting via a URL-style URI (which goes through
@@ -201,7 +201,7 @@ impl LanceNamespaceDatabase {
        &self,
        request: &DbCreateTableRequest,
    ) -> Result<(
-        Option<lance_file::version::LanceFileVersion>,
+        Option<lance_encoding::version::LanceFileVersion>,
        Option<bool>,
        Option<bool>,
    )> {
@@ -214,7 +214,7 @@ impl LanceNamespaceDatabase {

        let storage_version_override = storage_options
            .and_then(|opts| opts.get(OPT_NEW_TABLE_STORAGE_VERSION))
-            .map(|s| s.parse::<lance_file::version::LanceFileVersion>())
+            .map(|s| s.parse::<lance_encoding::version::LanceFileVersion>())
            .transpose()?;

        let v2_manifest_override = storage_options
@@ -11,9 +11,7 @@ use lance_core::{cache::LanceCache, utils::futures::FinallyStreamExt};
 use lance_encoding::decoder::{DecoderPlugins, FilterExpression};
 use lance_file::{
    reader::{FileReader, FileReaderOptions},
-    version::ConcreteFileVersion,
-    versions,
-    writer::FileWriterOptions,
+    writer::{FileWriter, FileWriterOptions},
 };
 use lance_io::{
    ReadBatchParams,
@@ -154,12 +152,8 @@ impl Shuffler {
                    source: None,
                })?;
            let object_writer = object_store.create(&path).await?;
-            let writer = versions::create_writer(
-                ConcreteFileVersion::V2_1,
-                object_writer,
-                schema.clone(),
-                FileWriterOptions::default(),
-            )?;
+            let writer =
+                FileWriter::try_new(object_writer, schema.clone(), FileWriterOptions::default())?;
            file_writers.push(writer);
        }

@@ -264,7 +264,7 @@ pub fn compute_output_schema(
        let field_name = ed
            .dest_column
            .clone()
-            .unwrap_or_else(|| format!("{}_embedding", ed.source_column));
+            .unwrap_or_else(|| format!("{}_embedding", &ed.source_column));

        sb.push(Field::new(
            field_name,
@@ -291,7 +291,7 @@ pub fn compute_embeddings_for_batch(
        let dst_field_name = fld
            .dest_column
            .clone()
-            .unwrap_or_else(|| format!("{}_embedding", fld.source_column));
+            .unwrap_or_else(|| format!("{}_embedding", &fld.source_column));

        let dst_field = Field::new(
            dst_field_name,
@@ -315,7 +315,7 @@ impl<R: RecordBatchReader> WithEmbeddings<R> {
                let field_name = ed
                    .dest_column
                    .clone()
-                    .unwrap_or_else(|| format!("{}_embedding", ed.source_column));
+                    .unwrap_or_else(|| format!("{}_embedding", &ed.source_column));
                Ok(Field::new(
                    field_name,
                    func.dest_type()?.into_owned(),
@@ -1,8 +1,7 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

-use std::fmt::{self, Display, Formatter};
-use std::sync::{Arc, PoisonError};
+use std::sync::PoisonError;

 use arrow_schema::ArrowError;
 use datafusion_common::DataFusionError;
@@ -10,46 +9,6 @@ use snafu::Snafu;

 pub(crate) type BoxError = Box<dyn std::error::Error + Send + Sync>;

-/// Why a job failed, to whatever precision the backend provides.
-///
-/// A job run in this process carries the error it failed with in [`Self::source`].
-/// A job run remotely carries whatever the server reported, which older servers
-/// do not report at all. Every field is absent rather than invented when the
-/// backend does not supply it.
-#[derive(Debug, Clone, Default)]
-pub struct JobFailure {
-    /// The stage the job was in, when known.
-    pub phase: Option<String>,
-    /// A human-readable reason, when known.
-    pub message: Option<String>,
-    /// Whether a retry could clear the failure, when known.
-    pub retryable: Option<bool>,
-    /// The error the job failed with, when it ran in this process.
-    pub source: Option<Arc<Error>>,
-}
-
-impl JobFailure {
-    /// A failure whose only known detail is the error that caused it.
-    pub(crate) fn from_source(source: Arc<Error>) -> Self {
-        Self {
-            message: Some(source.to_string()),
-            source: Some(source),
-            ..Default::default()
-        }
-    }
-}
-
-impl Display for JobFailure {
-    fn fmt(&self, f: &mut Formatter<'_>) -> fmt::Result {
-        match (&self.message, &self.phase) {
-            (Some(message), Some(phase)) => write!(f, ": {message} (in {phase})"),
-            (Some(message), None) => write!(f, ": {message}"),
-            (None, Some(phase)) => write!(f, " in {phase}"),
-            (None, None) => Ok(()),
-        }
-    }
-}
-
 #[derive(Debug, Snafu)]
 #[snafu(visibility(pub(crate)))]
 pub enum Error {
@@ -59,10 +18,6 @@ pub enum Error {
    InvalidInput { message: String },
    #[snafu(display("Table '{name}' was not found"))]
    TableNotFound { name: String, source: BoxError },
-    #[snafu(display(
-        "Table '{name}' exists but could not be loaded (it may be corrupt or incomplete): {source}"
-    ))]
-    TableCorrupted { name: String, source: BoxError },
    #[snafu(display("Database '{name}' was not found"))]
    DatabaseNotFound { name: String },
    #[snafu(display("Database '{name}' already exists."))]
@@ -85,13 +40,6 @@ pub enum Error {
    Runtime { message: String },
    #[snafu(display("Timeout error: {message}"))]
    Timeout { message: String },
-    #[snafu(display("Job{} failed{failure}", job_id.as_ref().map(|id| format!(" {id}")).unwrap_or_default()))]
-    JobFailed {
-        job_id: Option<String>,
-        failure: JobFailure,
-    },
-    #[snafu(display("Job{} was cancelled", job_id.as_ref().map(|id| format!(" {id}")).unwrap_or_default()))]
-    JobCancelled { job_id: Option<String> },

    // 3rd party / external errors
    #[snafu(display("object_store error: {source}"))]
@@ -169,45 +117,15 @@ impl From<DataFusionError> for Error {

 impl From<lance::Error> for Error {
    fn from(source: lance::Error) -> Self {
-        if has_unsupported_local_filesystem_source(&source) {
-            return Self::NotSupported {
-                message: "the filesystem does not support an operation required for safe Lance commits (such as atomic rename). Object-storage mounts such as Mountpoint for Amazon S3 are not supported; use the native object-store URI (for example, s3://bucket/path) instead".to_string(),
-            };
-        }
-
        // Try to unwrap external errors that were wrapped by lance
        match source {
            lance::Error::Wrapped { error, .. } => Self::from_box_error(error),
            lance::Error::External { source } => Self::from_box_error(source),
-            lance::Error::InvalidInput { source, .. } => Self::InvalidInput {
-                message: source.to_string(),
-            },
            _ => Self::Lance { source },
        }
    }
 }

-fn has_unsupported_local_filesystem_source(error: &(dyn std::error::Error + 'static)) -> bool {
-    let mut current = Some(error);
-    let mut is_local_filesystem = false;
-    let mut is_unsupported = false;
-    while let Some(error) = current {
-        is_local_filesystem |= error
-            .downcast_ref::<object_store::Error>()
-            .is_some_and(|error| {
-                matches!(error, object_store::Error::Generic { store, .. } if *store == "LocalFileSystem")
-            });
-        is_unsupported |= error
-            .downcast_ref::<std::io::Error>()
-            .is_some_and(|error| error.kind() == std::io::ErrorKind::Unsupported);
-        if is_local_filesystem && is_unsupported {
-            return true;
-        }
-        current = error.source();
-    }
-    false
-}
-
 impl Error {
    fn from_box_error(mut source: Box<dyn std::error::Error + Send + Sync>) -> Self {
        source = match source.downcast::<Self>() {
@@ -297,46 +215,3 @@ impl From<candle_core::Error> for Error {
        }
    }
 }
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-
-    #[test]
-    fn unsupported_filesystem_operations_have_actionable_error() {
-        let object_store_error = object_store::Error::Generic {
-            store: "LocalFileSystem",
-            source: Box::new(std::io::Error::from(std::io::ErrorKind::Unsupported)),
-        };
-        let lance_error = lance::Error::io_source(Box::new(object_store_error));
-
-        let error = Error::from(lance_error);
-
-        assert!(matches!(
-            error,
-            Error::NotSupported { message }
-                if message.contains("Mountpoint for Amazon S3")
-                    && message.contains("s3://bucket/path")
-        ));
-    }
-
-    #[test]
-    fn other_io_errors_remain_lance_errors() {
-        let object_store_error = object_store::Error::Generic {
-            store: "LocalFileSystem",
-            source: Box::new(std::io::Error::from(std::io::ErrorKind::PermissionDenied)),
-        };
-        let lance_error = lance::Error::io_source(Box::new(object_store_error));
-
-        assert!(matches!(Error::from(lance_error), Error::Lance { .. }));
-    }
-
-    #[test]
-    fn unsupported_non_filesystem_errors_remain_lance_errors() {
-        let lance_error = lance::Error::io_source(Box::new(std::io::Error::from(
-            std::io::ErrorKind::Unsupported,
-        )));
-
-        assert!(matches!(Error::from(lance_error), Error::Lance { .. }));
-    }
-}
@@ -10,7 +10,7 @@ use std::time::Duration;
 use vector::IvfFlatIndexBuilder;

 use crate::index::vector::IvfRqIndexBuilder;
-use crate::{DistanceType, Error, Result, job::Job, table::BaseTable};
+use crate::{DistanceType, Error, Result, table::BaseTable};

 use self::{
    scalar::{BTreeIndexBuilder, BitmapIndexBuilder, FmIndexBuilder, LabelListIndexBuilder},
@@ -305,14 +305,6 @@ impl IndexBuilder {
    pub async fn execute(self) -> Result<()> {
        self.parent.clone().create_index(self).await
    }
-
-    /// Creates the index, returning a [`Job`] tracking the operation.
-    ///
-    /// The job may already be complete when returned, and callers must not
-    /// assume the index exists until [`Job::wait`] resolves.
-    pub async fn execute_async(self) -> Result<Job> {
-        self.parent.clone().create_index_async(self).await
-    }
 }

 #[derive(Debug, Clone, PartialEq, Deserialize)]
@@ -132,14 +132,9 @@ impl ObjectStore for MirroringObjectStore {
        if to.primary_only() {
            self.primary.copy_opts(from, to, options).await
        } else {
-            // The secondary store can be process-local and less durable than the
-            // primary, so a source written by another process may not exist here
-            // or may be evicted before the copy begins.
-            match self.secondary.copy_opts(from, to, options.clone()).await {
-                Ok(()) | Err(Error::NotFound { .. }) => {}
-                Err(err) => return Err(err),
-            }
-            self.primary.copy_opts(from, to, options).await
+            self.secondary.copy_opts(from, to, options.clone()).await?;
+            self.primary.copy_opts(from, to, options).await?;
+            Ok(())
        }
    }
 }
@@ -197,8 +192,7 @@ mod test {
    use futures::TryStreamExt;
    use lance::{dataset::WriteParams, io::ObjectStoreParams};
    use lance_testing::datagen::{BatchGenerator, IncrementingInt32, RandomVector};
-    use object_store::{local::LocalFileSystem, memory::InMemory};
-    use std::time::Duration;
+    use object_store::local::LocalFileSystem;
    use tempfile;

    use crate::{
@@ -207,139 +201,6 @@ mod test {
        table::WriteOptions,
    };

-    #[derive(Debug)]
-    struct EvictBeforeCopyStore {
-        inner: Arc<dyn ObjectStore>,
-    }
-
-    impl std::fmt::Display for EvictBeforeCopyStore {
-        fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
-            write!(f, "EvictBeforeCopyStore")
-        }
-    }
-
-    #[async_trait]
-    impl ObjectStore for EvictBeforeCopyStore {
-        async fn put_opts(
-            &self,
-            location: &Path,
-            payload: PutPayload,
-            options: PutOptions,
-        ) -> Result<PutResult> {
-            self.inner.put_opts(location, payload, options).await
-        }
-
-        async fn put_multipart_opts(
-            &self,
-            location: &Path,
-            options: PutMultipartOptions,
-        ) -> Result<Box<dyn MultipartUpload>> {
-            self.inner.put_multipart_opts(location, options).await
-        }
-
-        async fn get_opts(&self, location: &Path, options: GetOptions) -> Result<GetResult> {
-            self.inner.get_opts(location, options).await
-        }
-
-        fn delete_stream(
-            &self,
-            locations: BoxStream<'static, Result<Path>>,
-        ) -> BoxStream<'static, Result<Path>> {
-            self.inner.delete_stream(locations)
-        }
-
-        fn list(&self, prefix: Option<&Path>) -> BoxStream<'static, Result<ObjectMeta>> {
-            self.inner.list(prefix)
-        }
-
-        async fn list_with_delimiter(&self, prefix: Option<&Path>) -> Result<ListResult> {
-            self.inner.list_with_delimiter(prefix).await
-        }
-
-        async fn copy_opts(&self, from: &Path, to: &Path, options: CopyOptions) -> Result<()> {
-            self.inner.delete(from).await?;
-            self.inner.copy_opts(from, to, options).await
-        }
-    }
-
-    #[tokio::test]
-    async fn test_copy_when_source_is_missing_from_secondary() {
-        let primary_dir = tempfile::tempdir().unwrap();
-        let secondary_dir = tempfile::tempdir().unwrap();
-        let primary: Arc<dyn ObjectStore> =
-            Arc::new(LocalFileSystem::new_with_prefix(primary_dir.path()).unwrap());
-        let secondary: Arc<dyn ObjectStore> =
-            Arc::new(LocalFileSystem::new_with_prefix(secondary_dir.path()).unwrap());
-        let store = MirroringObjectStore {
-            primary: primary.clone(),
-            secondary: secondary.clone(),
-        };
-        let staging = Path::from("_versions/1.manifest-staging");
-        let finalized = Path::from("_versions/1.manifest");
-
-        primary
-            .put(&staging, "manifest contents".into())
-            .await
-            .unwrap();
-
-        tokio::time::timeout(Duration::from_secs(5), store.copy(&staging, &finalized))
-            .await
-            .expect("copy should not hang when the secondary source is missing")
-            .unwrap();
-
-        let copied = primary
-            .get(&finalized)
-            .await
-            .unwrap()
-            .bytes()
-            .await
-            .unwrap();
-        assert_eq!(copied, "manifest contents");
-        assert!(matches!(
-            secondary.head(&finalized).await,
-            Err(Error::NotFound { .. })
-        ));
-    }
-
-    #[tokio::test]
-    async fn test_copy_when_secondary_source_disappears_after_head() {
-        let primary: Arc<dyn ObjectStore> = Arc::new(InMemory::new());
-        let secondary_inner: Arc<dyn ObjectStore> = Arc::new(InMemory::new());
-        let secondary: Arc<dyn ObjectStore> = Arc::new(EvictBeforeCopyStore {
-            inner: secondary_inner.clone(),
-        });
-        let store = MirroringObjectStore {
-            primary: primary.clone(),
-            secondary,
-        };
-        let staging = Path::from("_versions/1.manifest-staging");
-        let finalized = Path::from("_versions/1.manifest");
-
-        primary
-            .put(&staging, "manifest contents".into())
-            .await
-            .unwrap();
-        secondary_inner
-            .put(&staging, "manifest contents".into())
-            .await
-            .unwrap();
-
-        store.copy(&staging, &finalized).await.unwrap();
-
-        let copied = primary
-            .get(&finalized)
-            .await
-            .unwrap()
-            .bytes()
-            .await
-            .unwrap();
-        assert_eq!(copied, "manifest contents");
-        assert!(matches!(
-            secondary_inner.head(&finalized).await,
-            Err(Error::NotFound { .. })
-        ));
-    }
-
    // This test is ignored because lance 3.0 introduced LocalWriter optimization
    // that bypasses the object store wrapper for local writes. The mirroring feature
    // still works for remote/cloud storage, but can't be tested with local storage.
@@ -1,182 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-//! Handles to operations a server may run asynchronously.
-
-use std::sync::Arc;
-
-use async_trait::async_trait;
-use tokio::sync::watch;
-use tokio::task::{AbortHandle, JoinHandle};
-
-use crate::error::{Error, JobFailure, Result};
-
-/// Backend-specific tracking for an asynchronous operation.
-#[async_trait]
-pub(crate) trait JobHandle: Send + Sync {
-    /// Server-assigned id, when the backend has one.
-    fn id(&self) -> Option<&str> {
-        None
-    }
-    async fn status(&self) -> Result<String>;
-    async fn wait(&self) -> Result<()>;
-    async fn cancel(&self) -> Result<()>;
-}
-
-/// A handle to an operation that may still be running.
-///
-/// The operation may already be complete when the handle is created.
-pub struct Job {
-    handle: Option<Box<dyn JobHandle>>,
-}
-
-impl std::fmt::Debug for Job {
-    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
-        f.debug_struct("Job")
-            .field("id", &self.id())
-            .field("done", &self.handle.is_none())
-            .finish()
-    }
-}
-
-impl Job {
-    /// A job whose operation finished before the handle was created.
-    pub(crate) fn new_done() -> Self {
-        Self { handle: None }
-    }
-
-    pub(crate) fn new(handle: Box<dyn JobHandle>) -> Self {
-        Self {
-            handle: Some(handle),
-        }
-    }
-
-    /// A job running as a task in this process.
-    pub(crate) fn spawned(task: JoinHandle<Result<()>>) -> Self {
-        Self::new(Box::new(SpawnedJob::new(task)))
-    }
-
-    /// Identifies the operation on the server that is running it.
-    ///
-    /// Returned for correlating with server logs or the jobs API. Operations
-    /// that run in this process have no server id and return `None`. The
-    /// value is opaque: parsing it or storing it to resume the job later is
-    /// not supported.
-    pub fn id(&self) -> Option<&str> {
-        self.handle.as_ref().and_then(|handle| handle.id())
-    }
-
-    /// The operation's current lifecycle state: "running", "finished",
-    /// "failed", or "cancelled".
-    ///
-    /// A point snapshot; unlike [`Job::wait`] it does not block, raise on a
-    /// terminal failure state, or retry. States a newer server reports that
-    /// this client version does not know pass through as-is.
-    pub async fn status(&self) -> Result<String> {
-        match &self.handle {
-            None => Ok("finished".to_string()),
-            Some(handle) => handle.status().await,
-        }
-    }
-
-    /// Waits until the operation reaches a terminal state.
-    ///
-    /// Returns [`crate::Error::JobFailed`] if the operation failed and
-    /// [`crate::Error::JobCancelled`] if it was cancelled.
-    pub async fn wait(&self) -> Result<()> {
-        match &self.handle {
-            None => Ok(()),
-            Some(handle) => handle.wait().await,
-        }
-    }
-
-    /// Requests cancellation of the operation.
-    ///
-    /// Cancelling an operation that already finished is a no-op.
-    pub async fn cancel(&self) -> Result<()> {
-        match &self.handle {
-            None => Ok(()),
-            Some(handle) => handle.cancel().await,
-        }
-    }
-}
-
-/// How an in-process operation ended. Cloneable so every waiter can be given
-/// the outcome; [`Error`] is not, so failures share one behind an [`Arc`].
-#[derive(Clone)]
-enum Outcome {
-    Succeeded,
-    Failed(Arc<Error>),
-    Cancelled,
-}
-
-impl Outcome {
-    fn into_result(self) -> Result<()> {
-        match self {
-            Self::Succeeded => Ok(()),
-            Self::Failed(source) => Err(Error::JobFailed {
-                job_id: None,
-                failure: JobFailure::from_source(source),
-            }),
-            Self::Cancelled => Err(Error::JobCancelled { job_id: None }),
-        }
-    }
-}
-
-/// Tracks an operation running as a task in this process. A second task
-/// watches the first so that aborting it still produces an outcome, and so
-/// that every caller of `wait` observes the same one.
-struct SpawnedJob {
-    outcome: watch::Receiver<Option<Outcome>>,
-    abort: AbortHandle,
-}
-
-impl SpawnedJob {
-    fn new(task: JoinHandle<Result<()>>) -> Self {
-        let abort = task.abort_handle();
-        let (tx, outcome) = watch::channel(None);
-        tokio::spawn(async move {
-            let outcome = match task.await {
-                Ok(Ok(())) => Outcome::Succeeded,
-                Ok(Err(err)) => Outcome::Failed(Arc::new(err)),
-                Err(err) if err.is_cancelled() => Outcome::Cancelled,
-                Err(err) => Outcome::Failed(Arc::new(Error::Runtime {
-                    message: format!("index job task failed: {err}"),
-                })),
-            };
-            let _ = tx.send(Some(outcome));
-        });
-        Self { outcome, abort }
-    }
-}
-
-#[async_trait]
-impl JobHandle for SpawnedJob {
-    async fn status(&self) -> Result<String> {
-        let label = match &*self.outcome.borrow() {
-            None => "running",
-            Some(Outcome::Succeeded) => "finished",
-            Some(Outcome::Failed(_)) => "failed",
-            Some(Outcome::Cancelled) => "cancelled",
-        };
-        Ok(label.to_string())
-    }
-
-    async fn wait(&self) -> Result<()> {
-        let mut outcome = self.outcome.clone();
-        let settled = outcome
-            .wait_for(|outcome| outcome.is_some())
-            .await
-            .map_err(|_| Error::Runtime {
-                message: "index job outcome was dropped before it completed".to_string(),
-            })?
-            .clone()
-            .expect("wait_for returns once an outcome is set");
-        settled.into_result()
-    }
-
-    async fn cancel(&self) -> Result<()> {
-        self.abort.abort();
-        Ok(())
-    }
-}
@@ -184,7 +184,6 @@ pub mod expr;
 pub mod index;
 pub mod io;
 pub mod ipc;
-pub mod job;
 #[cfg(feature = "metrics-otel")]
 pub mod metrics_otel;
 #[cfg(feature = "polars")]
@@ -204,8 +203,7 @@ use serde::{Deserialize, Serialize};

 pub use blob::{BlobRangeRequest, blob, is_blob};
 pub use connection::{ConnectNamespaceBuilder, Connection};
-pub use error::{Error, JobFailure, Result};
-pub use job::Job;
+pub use error::{Error, Result};
 use lance_index::vector::ApproxMode as LanceApproxMode;
 use lance_linalg::distance::DistanceType as LanceDistanceType;
 /// Re-export of the [`metrics`](https://docs.rs/metrics) crate facade. Enable
@@ -1661,8 +1661,14 @@ mod tests {

    #[tokio::test]
    async fn test_setters_getters() {
+        // TODO: Switch back to memory://foo after https://github.com/lancedb/lancedb/issues/1051
+        // is fixed
+        let tmp_dir = tempdir().unwrap();
+        let dataset_path = tmp_dir.path().join("test.lance");
+        let uri = dataset_path.to_str().unwrap();
+
        let batches = make_test_batches();
-        let conn = connect("memory://foo").execute().await.unwrap();
+        let conn = connect(uri).execute().await.unwrap();
        let table = conn
            .create_table("my_table", batches)
            .execute()
@@ -1757,8 +1763,14 @@ mod tests {

    #[tokio::test]
    async fn test_execute() {
+        // TODO: Switch back to memory://foo after https://github.com/lancedb/lancedb/issues/1051
+        // is fixed
+        let tmp_dir = tempdir().unwrap();
+        let dataset_path = tmp_dir.path().join("test.lance");
+        let uri = dataset_path.to_str().unwrap();
+
        let batches = make_non_empty_batches();
-        let conn = connect("memory://foo").execute().await.unwrap();
+        let conn = connect(uri).execute().await.unwrap();
        let table = conn
            .create_table("my_table", batches)
            .execute()
@@ -1877,8 +1889,14 @@ mod tests {

    #[tokio::test]
    async fn test_select_with_transform() {
+        // TODO: Switch back to memory://foo after https://github.com/lancedb/lancedb/issues/1051
+        // is fixed
+        let tmp_dir = tempdir().unwrap();
+        let dataset_path = tmp_dir.path().join("test.lance");
+        let uri = dataset_path.to_str().unwrap();
+
        let batches = make_non_empty_batches();
-        let conn = connect("memory://foo").execute().await.unwrap();
+        let conn = connect(uri).execute().await.unwrap();
        let table = conn
            .create_table("my_table", batches)
            .execute()
@@ -1975,9 +1993,15 @@ mod tests {

    #[tokio::test]
    async fn test_execute_no_vector() {
+        // TODO: Switch back to memory://foo after https://github.com/lancedb/lancedb/issues/1051
+        // is fixed
+        let tmp_dir = tempdir().unwrap();
+        let dataset_path = tmp_dir.path().join("test.lance");
+        let uri = dataset_path.to_str().unwrap();
+
        // test that it's ok to not specify a query vector (just filter / limit)
        let batches = make_non_empty_batches();
-        let conn = connect("memory://foo").execute().await.unwrap();
+        let conn = connect(uri).execute().await.unwrap();
        let table = conn
            .create_table("my_table", batches)
            .execute()
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Will Jones	011def461c	docs(python): fix cross-references that resolved to the wrong page `mkdocs build --strict` only catches references it cannot resolve. A bare anchor such as `[limit][]` or `[vector search][search]` is matched by autorefs against any heading on the site, so six of them silently linked into the JavaScript reference instead. The relative links in `permutation.py` and `remote/errors.py` pointed at in-page anchors and paths that do not exist. Targets that still exist here or in an imported inventory now use mkdocstrings references; the guide pages deleted in #2770 use their lancedb.com URLs. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-30 16:19:38 -07:00
Will Jones	ed6be12ad6	docs: clear the mkdocs warning backlog so --strict passes `mkdocs build` emitted 61 warnings on main, and rendering the previously undocumented classes in this PR pushed that to 158. That backlog is what blocks turning on strict mode (#3707), so clear it here rather than leave it worse than we found it. Most of it was one systematic false positive: griffe cannot see the generated `__init__` of a pydantic dataclass, so every documented parameter looked unknown. `warn_unknown_params` turns that check off. The rest were real docstring bugs, in 15 docstrings: * Prose trailing a `Parameters` section is read as parameter names, which invented parameters called `The`, `you` and `To`. Moved into `Notes` or the summary. * numpydoc only reads a type when the colon has spaces around it. Where the documented name is a pydantic attribute rather than a signature parameter, griffe has no signature to fall back on and the type was dropped. Affects nine embedding classes. * `num_partitions, default sqrt(num_rows)` and friends parse as a list of names, rendering a bogus `default` parameter. * One parameter indented five spaces instead of four. `nodejs/CONTRIBUTING.md` links to the repo-root CONTRIBUTING.md, which does not resolve once typedoc copies the file into `docs/src/js/_media/`; an absolute URL works from both places. `mkdocs build --strict` now exits 0. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-29 14:15:20 -07:00
Will Jones	ac2b689cdb	docs(python): render index/embeddings/remote/rerankers from __all__ Four packages are now rendered by a single mkdocstrings directive each, driven by the module's `__all__`, instead of a hand-maintained list of symbols. These were where most of the drift was: 7 of 12 rerankers and 14 of 17 embedding functions had never been listed. `lancedb.embeddings` had no `__all__`; without one mkdocstrings renders no members at all for a re-export package, so one is added. AGENTS.md gains a section describing how the reference page is wired up and how to check a docs build locally, plus a step in the "adding a new method on Table" checklist. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-29 13:59:23 -07:00
Will Jones	4fc8114871	docs(python): add missing public APIs to the Python reference The Python API reference page had drifted from the public API. Branch management (`Branches` / `AsyncBranches`, which own `diff` and `merge`), structured full-text query classes, take queries, blob helpers, namespace connections, most rerankers and embedding functions, the PyTorch dataloader, and several other public symbols were never listed, so they did not appear in the rendered docs. Also fixes docstring cross-references that pointed at guide pages which have since moved off this site, and at unresolvable relative targets (`[Table](Table)`, `[PyArrow Table](pyarrow.Table)`). Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-29 13:46:45 -07:00