small fix for the guides/table page

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.4.8
+current_version = 0.4.7
 commit = True
 message = Bump version: {current_version} → {new_version}
 tag = True

Cargo.toml

@@ -11,10 +11,10 @@ license = "Apache-2.0"
 repository = "https://github.com/lancedb/lancedb"
 
 [workspace.dependencies]
-lance = { "version" = "=0.9.12", "features" = ["dynamodb"] }
+lance = { "version" = "=0.9.10", "features" = ["dynamodb"] }
-lance-index = { "version" = "=0.9.12" }
+lance-index = { "version" = "=0.9.10" }
-lance-linalg = { "version" = "=0.9.12" }
+lance-linalg = { "version" = "=0.9.10" }
-lance-testing = { "version" = "=0.9.12" }
+lance-testing = { "version" = "=0.9.10" }
 # Note that this one does not include pyarrow
 arrow = { version = "50.0", optional = false }
 arrow-array = "50.0"

docs/src/guides/tables.md

@@ -100,9 +100,7 @@ This guide will show how to create tables, insert data into them, and update the
     db["my_table"].head()
     ```
     !!! info "Note"
-    Data is converted to Arrow before being written to disk. For maximum control over how data is saved, either provide the PyArrow schema to convert to or else provide a PyArrow Table directly.
+        Data is converted to Arrow before being written to disk. For maximum control over how data is saved, either provide the PyArrow schema to convert to or else provide a PyArrow Table directly.
-
-    The **`vector`** column needs to be a [Vector](../python/pydantic.md#vector-field) (defined as [pyarrow.FixedSizeList](https://arrow.apache.org/docs/python/generated/pyarrow.list_.html)) type. 
 
     ```python
     custom_schema = pa.schema([

node/package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "vectordb",
-  "version": "0.4.8",
+  "version": "0.4.7",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "vectordb",
-      "version": "0.4.8",
+      "version": "0.4.7",
       "cpu": [
         "x64",
         "arm64"
@@ -53,11 +53,11 @@
         "uuid": "^9.0.0"
       },
       "optionalDependencies": {
-        "@lancedb/vectordb-darwin-arm64": "0.4.8",
+        "@lancedb/vectordb-darwin-arm64": "0.4.7",
-        "@lancedb/vectordb-darwin-x64": "0.4.8",
+        "@lancedb/vectordb-darwin-x64": "0.4.7",
-        "@lancedb/vectordb-linux-arm64-gnu": "0.4.8",
+        "@lancedb/vectordb-linux-arm64-gnu": "0.4.7",
-        "@lancedb/vectordb-linux-x64-gnu": "0.4.8",
+        "@lancedb/vectordb-linux-x64-gnu": "0.4.7",
-        "@lancedb/vectordb-win32-x64-msvc": "0.4.8"
+        "@lancedb/vectordb-win32-x64-msvc": "0.4.7"
       }
     },
     "node_modules/@75lb/deep-merge": {
@@ -329,9 +329,9 @@
       }
     },
     "node_modules/@lancedb/vectordb-darwin-arm64": {
-      "version": "0.4.8",
+      "version": "0.4.7",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.4.8.tgz",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.4.7.tgz",
-      "integrity": "sha512-FpnJaw7KmNdD/FtOw9AcmPL5P+L04AcnfPj9ZyEjN8iCwB/qaOGYgdfBv+EbEtfHIsqA12q/1BRduu9KdB6BIA==",
+      "integrity": "sha512-kACOIytgjBfX8NRwjPKe311XRN3lbSN13B7avT5htMd3kYm3AnnMag9tZhlwoO7lIuvGaXhy7mApygJrjhfJ4g==",
       "cpu": [
         "arm64"
       ],
@@ -341,9 +341,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-darwin-x64": {
-      "version": "0.4.8",
+      "version": "0.4.7",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.4.8.tgz",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.4.7.tgz",
-      "integrity": "sha512-RafOEYyZIgphp8wPGuVLFaTc8aAqo0NCO1LQMx0mB0xV96vrdo0Mooivs+dYN3RFfSHtTKPw9O1Jc957Vp1TLg==",
+      "integrity": "sha512-vb74iK5uPWCwz5E60r3yWp/R/HSg54/Z9AZWYckYXqsPv4w/nfbkM5iZhfRqqR/9uE6JClWJKOtjbk7b8CFRFg==",
       "cpu": [
         "x64"
       ],
@@ -353,9 +353,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-linux-arm64-gnu": {
-      "version": "0.4.8",
+      "version": "0.4.7",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.4.8.tgz",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.4.7.tgz",
-      "integrity": "sha512-WlbYNfj4+v1hBHUluF+hnlG/A0ZaQFdXBTGDfHQniL11o+n3emWm4ujP5nSAoQHXjSH9DaOTGr/N4Mc9Xe+luw==",
+      "integrity": "sha512-jHp7THm6S9sB8RaCxGoZXLAwGAUHnawUUilB1K3mvQsRdfB2bBs0f7wDehW+PDhr+Iog4LshaWbcnoQEUJWR+Q==",
       "cpu": [
         "arm64"
       ],
@@ -365,9 +365,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-linux-x64-gnu": {
-      "version": "0.4.8",
+      "version": "0.4.7",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.4.8.tgz",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.4.7.tgz",
-      "integrity": "sha512-z+qFJrDqnNEv4JcwYDyt51PHmWjuM/XaOlSjpBnyyuUImeY+QcwctMuyXt8+Q4zhuqQR1AhLKrMwCU+YmMfk5g==",
+      "integrity": "sha512-LKbVe6Wrp/AGqCCjKliNDmYoeTNgY/wfb2DTLjrx41Jko/04ywLrJ6xSEAn3XD5RDCO5u3fyUdXHHHv5a3VAAQ==",
       "cpu": [
         "x64"
       ],
@@ -377,9 +377,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-win32-x64-msvc": {
-      "version": "0.4.8",
+      "version": "0.4.7",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.4.8.tgz",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.4.7.tgz",
-      "integrity": "sha512-VjUryVvEA04r0j4lU9pJy84cmjuQm1GhBzbPc8kwbn5voT4A6BPglrlNsU0Zc+j8Fbjyvauzw2lMEcMsF4F0rw==",
+      "integrity": "sha512-C5ln4+wafeY1Sm4PeV0Ios9lUaQVVip5Mjl9XU7ngioSEMEuXI/XMVfIdVfDPppVNXPeQxg33wLA272uw88D1Q==",
       "cpu": [
         "x64"
       ],

node/package.json

@@ -1,6 +1,6 @@
 {
   "name": "vectordb",
-  "version": "0.4.8",
+  "version": "0.4.7",
   "description": " Serverless, low-latency vector database for AI applications",
   "main": "dist/index.js",
   "types": "dist/index.d.ts",
@@ -85,10 +85,10 @@
     }
   },
   "optionalDependencies": {
-    "@lancedb/vectordb-darwin-arm64": "0.4.8",
+    "@lancedb/vectordb-darwin-arm64": "0.4.7",
-    "@lancedb/vectordb-darwin-x64": "0.4.8",
+    "@lancedb/vectordb-darwin-x64": "0.4.7",
-    "@lancedb/vectordb-linux-arm64-gnu": "0.4.8",
+    "@lancedb/vectordb-linux-arm64-gnu": "0.4.7",
-    "@lancedb/vectordb-linux-x64-gnu": "0.4.8",
+    "@lancedb/vectordb-linux-x64-gnu": "0.4.7",
-    "@lancedb/vectordb-win32-x64-msvc": "0.4.8"
+    "@lancedb/vectordb-win32-x64-msvc": "0.4.7"
   }
 }

node/src/index.ts

@@ -37,7 +37,6 @@ const {
   tableCountRows,
   tableDelete,
   tableUpdate,
-  tableMergeInsert,
   tableCleanupOldVersions,
   tableCompactFiles,
   tableListIndices,
@@ -441,38 +440,6 @@ export interface Table<T = number[]> {
    */
   update: (args: UpdateArgs | UpdateSqlArgs) => Promise<void>
 
-  /**
-   * Runs a "merge insert" operation on the table
-   *
-   * This operation can add rows, update rows, and remove rows all in a single
-   * transaction. It is a very generic tool that can be used to create
-   * behaviors like "insert if not exists", "update or insert (i.e. upsert)",
-   * or even replace a portion of existing data with new data (e.g. replace
-   * all data where month="january")
-   *
-   * The merge insert operation works by combining new data from a
-   * **source table** with existing data in a **target table** by using a
-   * join.  There are three categories of records.
-   *
-   * "Matched" records are records that exist in both the source table and
-   * the target table. "Not matched" records exist only in the source table
-   * (e.g. these are new data) "Not matched by source" records exist only
-   * in the target table (this is old data)
-   *
-   * The MergeInsertArgs can be used to customize what should happen for
-   * each category of data.
-   *
-   * Please note that the data may appear to be reordered as part of this
-   * operation.  This is because updated rows will be deleted from the
-   * dataset and then reinserted at the end with the new values.
-   *
-   * @param on a column to join on.  This is how records from the source
-   *           table and target table are matched.
-   * @param data the new data to insert
-   * @param args parameters controlling how the operation should behave
-   */
-  mergeInsert: (on: string, data: Array<Record<string, unknown>> | ArrowTable, args: MergeInsertArgs) => Promise<void>
-
   /**
    * List the indicies on this table.
    */
@@ -516,36 +483,6 @@ export interface UpdateSqlArgs {
   valuesSql: Record<string, string>
 }
 
-export interface MergeInsertArgs {
-  /**
-   * If true then rows that exist in both the source table (new data) and
-   * the target table (old data) will be updated, replacing the old row
-   * with the corresponding matching row.
-   *
-   * If there are multiple matches then the behavior is undefined.
-   * Currently this causes multiple copies of the row to be created
-   * but that behavior is subject to change.
-   */
-  whenMatchedUpdateAll?: boolean
-  /**
-   * If true then rows that exist only in the source table (new data)
-   * will be inserted into the target table.
-   */
-  whenNotMatchedInsertAll?: boolean
-  /**
-   * If true then rows that exist only in the target table (old data)
-   * will be deleted.
-   *
-   * If this is a string then it will be treated as an SQL filter and
-   * only rows that both do not match any row in the source table and
-   * match the given filter will be deleted.
-   *
-   * This can be used to replace a selection of existing data with
-   * new data.
-   */
-  whenNotMatchedBySourceDelete?: string | boolean
-}
-
 export interface VectorIndex {
   columns: string[]
   name: string
@@ -884,38 +821,6 @@ export class LocalTable<T = number[]> implements Table<T> {
       })
   }
 
-  async mergeInsert (on: string, data: Array<Record<string, unknown>> | ArrowTable, args: MergeInsertArgs): Promise<void> {
-    const whenMatchedUpdateAll = args.whenMatchedUpdateAll ?? false
-    const whenNotMatchedInsertAll = args.whenNotMatchedInsertAll ?? false
-    let whenNotMatchedBySourceDelete = false
-    let whenNotMatchedBySourceDeleteFilt = null
-    if (args.whenNotMatchedBySourceDelete !== undefined && args.whenNotMatchedBySourceDelete !== null) {
-      whenNotMatchedBySourceDelete = true
-      if (args.whenNotMatchedBySourceDelete !== true) {
-        whenNotMatchedBySourceDeleteFilt = args.whenNotMatchedBySourceDelete
-      }
-    }
-
-    const schema = await this.schema
-    let tbl: ArrowTable
-    if (data instanceof ArrowTable) {
-      tbl = data
-    } else {
-      tbl = makeArrowTable(data, { schema })
-    }
-    const buffer = await fromTableToBuffer(tbl, this._embeddings, schema)
-
-    this._tbl = await tableMergeInsert.call(
-      this._tbl,
-      on,
-      whenMatchedUpdateAll,
-      whenNotMatchedInsertAll,
-      whenNotMatchedBySourceDelete,
-      whenNotMatchedBySourceDeleteFilt,
-      buffer
-    )
-  }
-
   /**
    * Clean up old versions of the table, freeing disk space.
    *

node/src/remote/index.ts

@@ -24,8 +24,7 @@ import {
   type IndexStats,
   type UpdateArgs,
   type UpdateSqlArgs,
-  makeArrowTable,
+  makeArrowTable
-  type MergeInsertArgs
 } from '../index'
 import { Query } from '../query'
 
@@ -275,52 +274,6 @@ export class RemoteTable<T = number[]> implements Table<T> {
     throw new Error('Not implemented')
   }
 
-  async mergeInsert (on: string, data: Array<Record<string, unknown>> | ArrowTable, args: MergeInsertArgs): Promise<void> {
-    let tbl: ArrowTable
-    if (data instanceof ArrowTable) {
-      tbl = data
-    } else {
-      tbl = makeArrowTable(data, await this.schema)
-    }
-
-    const queryParams: any = {
-      on
-    }
-    if (args.whenMatchedUpdateAll ?? false) {
-      queryParams.when_matched_update_all = 'true'
-    } else {
-      queryParams.when_matched_update_all = 'false'
-    }
-    if (args.whenNotMatchedInsertAll ?? false) {
-      queryParams.when_not_matched_insert_all = 'true'
-    } else {
-      queryParams.when_not_matched_insert_all = 'false'
-    }
-    if (args.whenNotMatchedBySourceDelete !== false && args.whenNotMatchedBySourceDelete !== null && args.whenNotMatchedBySourceDelete !== undefined) {
-      queryParams.when_not_matched_by_source_delete = 'true'
-      if (typeof args.whenNotMatchedBySourceDelete === 'string') {
-        queryParams.when_not_matched_by_source_delete_filt = args.whenNotMatchedBySourceDelete
-      }
-    } else {
-      queryParams.when_not_matched_by_source_delete = 'false'
-    }
-
-    const buffer = await fromTableToStreamBuffer(tbl, this._embeddings)
-    const res = await this._client.post(
-      `/v1/table/${this._name}/merge_insert/`,
-      buffer,
-      queryParams,
-      'application/vnd.apache.arrow.stream'
-    )
-    if (res.status !== 200) {
-      throw new Error(
-        `Server Error, status: ${res.status}, ` +
-          // eslint-disable-next-line @typescript-eslint/restrict-template-expressions
-          `message: ${res.statusText}: ${res.data}`
-      )
-    }
-  }
-
   async add (data: Array<Record<string, unknown>> | ArrowTable): Promise<number> {
     let tbl: ArrowTable
     if (data instanceof ArrowTable) {

node/src/test/test.ts

@@ -531,44 +531,6 @@ describe('LanceDB client', function () {
       assert.equal(await table.countRows(), 2)
     })
 
-    it('can merge insert records into the table', async function () {
-      const dir = await track().mkdir('lancejs')
-      const con = await lancedb.connect(dir)
-
-      const data = [{ id: 1, age: 1 }, { id: 2, age: 1 }]
-      const table = await con.createTable('my_table', data)
-
-      let newData = [{ id: 2, age: 2 }, { id: 3, age: 2 }]
-      await table.mergeInsert('id', newData, {
-        whenNotMatchedInsertAll: true
-      })
-      assert.equal(await table.countRows(), 3)
-      assert.equal((await table.filter('age = 2').execute()).length, 1)
-
-      newData = [{ id: 3, age: 3 }, { id: 4, age: 3 }]
-      await table.mergeInsert('id', newData, {
-        whenNotMatchedInsertAll: true,
-        whenMatchedUpdateAll: true
-      })
-      assert.equal(await table.countRows(), 4)
-      assert.equal((await table.filter('age = 3').execute()).length, 2)
-
-      newData = [{ id: 5, age: 4 }]
-      await table.mergeInsert('id', newData, {
-        whenNotMatchedInsertAll: true,
-        whenMatchedUpdateAll: true,
-        whenNotMatchedBySourceDelete: 'age < 3'
-      })
-      assert.equal(await table.countRows(), 3)
-
-      await table.mergeInsert('id', newData, {
-        whenNotMatchedInsertAll: true,
-        whenMatchedUpdateAll: true,
-        whenNotMatchedBySourceDelete: true
-      })
-      assert.equal(await table.countRows(), 1)
-    })
-
     it('can update records in the table', async function () {
       const uri = await createTestDB()
       const con = await lancedb.connect(uri)

python/.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.5.3
+current_version = 0.5.1
 commit = True
 message = [python] Bump version: {current_version} → {new_version}
 tag = True

python/lancedb/common.py

@@ -16,9 +16,9 @@ from typing import Iterable, List, Union
 import numpy as np
 import pyarrow as pa
 
-from .util import safe_import_pandas
+from .util import safe_import
 
-pd = safe_import_pandas()
+pd = safe_import("pandas")
 
 DATA = Union[List[dict], dict, "pd.DataFrame", pa.Table, Iterable[pa.RecordBatch]]
 VEC = Union[list, np.ndarray, pa.Array, pa.ChunkedArray]

python/lancedb/context.py

@@ -16,9 +16,9 @@ import deprecation
 
 from . import __version__
 from .exceptions import MissingColumnError, MissingValueError
-from .util import safe_import_pandas
+from .util import safe_import
 
-pd = safe_import_pandas()
+pd = safe_import("pandas")
 
 
 def contextualize(raw_df: "pd.DataFrame") -> Contextualizer:

python/lancedb/embeddings/utils.py

@@ -26,10 +26,10 @@ import pyarrow as pa
 from lance.vector import vec_to_table
 from retry import retry
 
-from ..util import safe_import_pandas
+from ..util import safe_import
 from ..utils.general import LOGGER
 
-pd = safe_import_pandas()
+pd = safe_import("pandas")
 
 DATA = Union[pa.Table, "pd.DataFrame"]
 TEXT = Union[str, List[str], pa.Array, pa.ChunkedArray, np.ndarray]

python/lancedb/merge.py

@@ -12,7 +12,7 @@
 #  limitations under the License.
 from __future__ import annotations
 
-from typing import TYPE_CHECKING, List, Optional
+from typing import TYPE_CHECKING, Iterable, Optional
 
 if TYPE_CHECKING:
     from .common import DATA
@@ -25,7 +25,7 @@ class LanceMergeInsertBuilder(object):
     more context
     """
 
-    def __init__(self, table: "Table", on: List[str]):  # noqa: F821
+    def __init__(self, table: "Table", on: Iterable[str]):  # noqa: F821
         # Do not put a docstring here.  This method should be hidden
         # from API docs.  Users should use merge_insert to create
         # this object.
@@ -77,27 +77,10 @@ class LanceMergeInsertBuilder(object):
             self._when_not_matched_by_source_condition = condition
         return self
 
-    def execute(
+    def execute(self, new_data: DATA):
-        self,
-        new_data: DATA,
-        on_bad_vectors: str = "error",
-        fill_value: float = 0.0,
-    ):
         """
         Executes the merge insert operation
 
         Nothing is returned but the [`Table`][lancedb.table.Table] is updated
-
-        Parameters
-        ----------
-        new_data: DATA
-            New records which will be matched against the existing records
-            to potentially insert or update into the table.  This parameter
-            can be anything you use for [`add`][lancedb.table.Table.add]
-        on_bad_vectors: str, default "error"
-            What to do if any of the vectors are not the same size or contains NaNs.
-            One of "error", "drop", "fill".
-        fill_value: float, default 0.
-            The value to use when filling vectors. Only used if on_bad_vectors="fill".
         """
-        self._table._do_merge(self, new_data, on_bad_vectors, fill_value)
+        self._table._do_merge(self, new_data)

python/lancedb/query.py

@@ -27,7 +27,7 @@ from . import __version__
 from .common import VEC, VECTOR_COLUMN_NAME
 from .rerankers.base import Reranker
 from .rerankers.linear_combination import LinearCombinationReranker
-from .util import safe_import_pandas
+from .util import safe_import
 
 if TYPE_CHECKING:
     import PIL
@@ -36,7 +36,7 @@ if TYPE_CHECKING:
     from .pydantic import LanceModel
     from .table import Table
 
-pd = safe_import_pandas()
+pd = safe_import("pandas")
 
 
 class Query(pydantic.BaseModel):

python/lancedb/remote/client.py

@@ -13,8 +13,6 @@
 
 
 import functools
-import logging
-import os
 from typing import Any, Callable, Dict, List, Optional, Union
 from urllib.parse import urljoin
 
@@ -22,8 +20,6 @@ import attrs
 import pyarrow as pa
 import requests
 from pydantic import BaseModel
-from requests.adapters import HTTPAdapter
-from urllib3 import Retry
 
 from lancedb.common import Credential
 from lancedb.remote import VectorQuery, VectorQueryResult
@@ -61,10 +57,6 @@ class RestfulLanceDBClient:
     @functools.cached_property
     def session(self) -> requests.Session:
         sess = requests.Session()
-
-        retry_adapter_instance = retry_adapter(retry_adapter_options())
-        sess.mount(urljoin(self.url, "/v1/table/"), retry_adapter_instance)
-
         adapter_class = LanceDBClientHTTPAdapterFactory()
         sess.mount("https://", adapter_class())
         return sess
@@ -178,72 +170,3 @@ class RestfulLanceDBClient:
         """Query a table."""
         tbl = self.post(f"/v1/table/{table_name}/query/", query, deserialize=_read_ipc)
         return VectorQueryResult(tbl)
-
-    def mount_retry_adapter_for_table(self, table_name: str) -> None:
-        """
-        Adds an http adapter to session that will retry retryable requests to the table.
-        """
-        retry_options = retry_adapter_options(methods=["GET", "POST"])
-        retry_adapter_instance = retry_adapter(retry_options)
-        session = self.session
-
-        session.mount(
-            urljoin(self.url, f"/v1/table/{table_name}/query/"), retry_adapter_instance
-        )
-        session.mount(
-            urljoin(self.url, f"/v1/table/{table_name}/describe/"),
-            retry_adapter_instance,
-        )
-        session.mount(
-            urljoin(self.url, f"/v1/table/{table_name}/index/list/"),
-            retry_adapter_instance,
-        )
-
-
-def retry_adapter_options(methods=["GET"]) -> Dict[str, Any]:
-    return {
-        "retries": int(os.environ.get("LANCE_CLIENT_MAX_RETRIES", "3")),
-        "connect_retries": int(os.environ.get("LANCE_CLIENT_CONNECT_RETRIES", "3")),
-        "read_retries": int(os.environ.get("LANCE_CLIENT_READ_RETRIES", "3")),
-        "backoff_factor": float(
-            os.environ.get("LANCE_CLIENT_RETRY_BACKOFF_FACTOR", "0.25")
-        ),
-        "backoff_jitter": float(
-            os.environ.get("LANCE_CLIENT_RETRY_BACKOFF_JITTER", "0.25")
-        ),
-        "statuses": [
-            int(i.strip())
-            for i in os.environ.get(
-                "LANCE_CLIENT_RETRY_STATUSES", "429, 500, 502, 503"
-            ).split(",")
-        ],
-        "methods": methods,
-    }
-
-
-def retry_adapter(options: Dict[str, Any]) -> HTTPAdapter:
-    total_retries = options["retries"]
-    connect_retries = options["connect_retries"]
-    read_retries = options["read_retries"]
-    backoff_factor = options["backoff_factor"]
-    backoff_jitter = options["backoff_jitter"]
-    statuses = options["statuses"]
-    methods = frozenset(options["methods"])
-    logging.debug(
-        f"Setting up retry adapter with {total_retries} retries,"  # noqa G003
-        + f"connect retries {connect_retries}, read retries {read_retries},"
-        + f"backoff factor {backoff_factor}, statuses {statuses}, "
-        + f"methods {methods}"
-    )
-
-    return HTTPAdapter(
-        max_retries=Retry(
-            total=total_retries,
-            connect=connect_retries,
-            read=read_retries,
-            backoff_factor=backoff_factor,
-            backoff_jitter=backoff_jitter,
-            status_forcelist=statuses,
-            allowed_methods=methods,
-        )
-    )

python/lancedb/remote/db.py

@@ -95,8 +95,6 @@ class RemoteDBConnection(DBConnection):
         """
         from .table import RemoteTable
 
-        self._client.mount_retry_adapter_for_table(name)
-
         # check if table exists
         try:
             self._client.post(f"/v1/table/{name}/describe/")

python/lancedb/remote/table.py

@@ -19,7 +19,6 @@ import pyarrow as pa
 from lance import json_to_schema
 
 from lancedb.common import DATA, VEC, VECTOR_COLUMN_NAME
-from lancedb.merge import LanceMergeInsertBuilder
 
 from ..query import LanceVectorQueryBuilder
 from ..table import Query, Table, _sanitize_data
@@ -245,46 +244,9 @@ class RemoteTable(Table):
             result = self._conn._client.query(self._name, query)
             return result.to_arrow()
 
-    def _do_merge(
+    def _do_merge(self, *_args):
-        self,
+        """_do_merge() is not supported on the LanceDB cloud yet"""
-        merge: LanceMergeInsertBuilder,
+        return NotImplementedError("_do_merge() is not supported on the LanceDB cloud")
-        new_data: DATA,
-        on_bad_vectors: str,
-        fill_value: float,
-    ):
-        data = _sanitize_data(
-            new_data,
-            self.schema,
-            metadata=None,
-            on_bad_vectors=on_bad_vectors,
-            fill_value=fill_value,
-        )
-        payload = to_ipc_binary(data)
-
-        params = {}
-        if len(merge._on) != 1:
-            raise ValueError(
-                "RemoteTable only supports a single on key in merge_insert"
-            )
-        params["on"] = merge._on[0]
-        params["when_matched_update_all"] = str(merge._when_matched_update_all).lower()
-        params["when_not_matched_insert_all"] = str(
-            merge._when_not_matched_insert_all
-        ).lower()
-        params["when_not_matched_by_source_delete"] = str(
-            merge._when_not_matched_by_source_delete
-        ).lower()
-        if merge._when_not_matched_by_source_condition is not None:
-            params[
-                "when_not_matched_by_source_delete_filt"
-            ] = merge._when_not_matched_by_source_condition
-
-        self._conn._client.post(
-            f"/v1/table/{self._name}/merge_insert/",
-            data=payload,
-            params=params,
-            content_type=ARROW_STREAM_CONTENT_TYPE,
-        )
 
     def delete(self, predicate: str):
         """Delete rows from the table.
@@ -397,18 +359,6 @@ class RemoteTable(Table):
         payload = {"predicate": where, "updates": updates}
         self._conn._client.post(f"/v1/table/{self._name}/update/", data=payload)
 
-    def cleanup_old_versions(self, *_):
-        """cleanup_old_versions() is not supported on the LanceDB cloud"""
-        raise NotImplementedError(
-            "cleanup_old_versions() is not supported on the LanceDB cloud"
-        )
-
-    def compact_files(self, *_):
-        """compact_files() is not supported on the LanceDB cloud"""
-        raise NotImplementedError(
-            "compact_files() is not supported on the LanceDB cloud"
-        )
-
 
 def add_index(tbl: pa.Table, i: int) -> pa.Table:
     return tbl.add_column(

python/lancedb/table.py

@@ -34,8 +34,7 @@ from .query import LanceQueryBuilder, Query
 from .util import (
     fs_from_uri,
     join_uri,
-    safe_import_pandas,
+    safe_import,
-    safe_import_polars,
     value_to_sql,
 )
 from .utils.events import register_event
@@ -49,8 +48,8 @@ if TYPE_CHECKING:
     from .db import LanceDBConnection
 
 
-pd = safe_import_pandas()
+pd = safe_import("pandas")
-pl = safe_import_polars()
+pl = safe_import("polars")
 
 
 def _sanitize_data(
@@ -392,8 +391,6 @@ class Table(ABC):
         2  3  y
         3  4  z
         """
-        on = [on] if isinstance(on, str) else list(on.iter())
-
         return LanceMergeInsertBuilder(self, on)
 
     @abstractmethod
@@ -441,8 +438,6 @@ class Table(ABC):
             the table
         vector_column_name: str
             The name of the vector column to search.
-
-            The vector column needs to be a pyarrow fixed size list type
             *default "vector"*
         query_type: str
             *default "auto"*.
@@ -483,8 +478,8 @@ class Table(ABC):
         self,
         merge: LanceMergeInsertBuilder,
         new_data: DATA,
-        on_bad_vectors: str,
+        *,
-        fill_value: float,
+        schema: Optional[pa.Schema] = None,
     ):
         pass
 
@@ -595,52 +590,6 @@ class Table(ABC):
         """
         raise NotImplementedError
 
-    @abstractmethod
-    def cleanup_old_versions(
-        self,
-        older_than: Optional[timedelta] = None,
-        *,
-        delete_unverified: bool = False,
-    ) -> CleanupStats:
-        """
-        Clean up old versions of the table, freeing disk space.
-
-        Note: This function is not available in LanceDb Cloud (since LanceDb
-        Cloud manages cleanup for you automatically)
-
-        Parameters
-        ----------
-        older_than: timedelta, default None
-            The minimum age of the version to delete. If None, then this defaults
-            to two weeks.
-        delete_unverified: bool, default False
-            Because they may be part of an in-progress transaction, files newer
-            than 7 days old are not deleted by default. If you are sure that
-            there are no in-progress transactions, then you can set this to True
-            to delete all files older than `older_than`.
-
-        Returns
-        -------
-        CleanupStats
-            The stats of the cleanup operation, including how many bytes were
-            freed.
-        """
-
-    @abstractmethod
-    def compact_files(self, *args, **kwargs):
-        """
-        Run the compaction process on the table.
-
-        Note: This function is not available in LanceDb Cloud (since LanceDb
-        Cloud manages compaction for you automatically)
-
-        This can be run after making several small appends to optimize the table
-        for faster reads.
-
-        Arguments are passed onto :meth:`lance.dataset.DatasetOptimizer.compact_files`.
-        For most cases, the default should be fine.
-        """
-
 
 class LanceTable(Table):
     """
@@ -1316,20 +1265,7 @@ class LanceTable(Table):
             with_row_id=query.with_row_id,
         )
 
-    def _do_merge(
+    def _do_merge(self, merge: LanceMergeInsertBuilder, new_data: DATA, *, schema=None):
-        self,
-        merge: LanceMergeInsertBuilder,
-        new_data: DATA,
-        on_bad_vectors: str,
-        fill_value: float,
-    ):
-        new_data = _sanitize_data(
-            new_data,
-            self.schema,
-            metadata=self.schema.metadata,
-            on_bad_vectors=on_bad_vectors,
-            fill_value=fill_value,
-        )
         ds = self.to_lance()
         builder = ds.merge_insert(merge._on)
         if merge._when_matched_update_all:
@@ -1339,7 +1275,7 @@ class LanceTable(Table):
         if merge._when_not_matched_by_source_delete:
             cond = merge._when_not_matched_by_source_condition
             builder.when_not_matched_by_source_delete(cond)
-        builder.execute(new_data)
+        builder.execute(new_data, schema=schema)
 
     def cleanup_old_versions(
         self,
@@ -1378,9 +1314,8 @@ class LanceTable(Table):
         This can be run after making several small appends to optimize the table
         for faster reads.
 
-        Arguments are passed onto `lance.dataset.DatasetOptimizer.compact_files`.
+        Arguments are passed onto :meth:`lance.dataset.DatasetOptimizer.compact_files`.
-         (see Lance documentation for more details) For most cases, the default
+        For most cases, the default should be fine.
-        should be fine.
         """
         return self.to_lance().optimize.compact_files(*args, **kwargs)
 

python/lancedb/util.py

@@ -134,24 +134,6 @@ def safe_import(module: str, mitigation=None):
         raise ImportError(f"Please install {mitigation or module}")
 
 
-def safe_import_pandas():
-    try:
-        import pandas as pd
-
-        return pd
-    except ImportError:
-        return None
-
-
-def safe_import_polars():
-    try:
-        import polars as pl
-
-        return pl
-    except ImportError:
-        return None
-
-
 @singledispatch
 def value_to_sql(value):
     raise NotImplementedError("SQL conversion is not implemented for this type")

python/pyproject.toml

@@ -1,9 +1,9 @@
 [project]
 name = "lancedb"
-version = "0.5.3"
+version = "0.5.1"
 dependencies = [
     "deprecation",
-    "pylance==0.9.12",
+    "pylance==0.9.11",
     "ratelimiter~=1.0",
     "retry>=0.9.2",
     "tqdm>=4.27.0",

python/tests/test_remote_db.py

@@ -29,9 +29,6 @@ class FakeLanceDBClient:
     def post(self, path: str):
         pass
 
-    def mount_retry_adapter_for_table(self, table_name: str):
-        pass
-
 
 def test_remote_db():
     conn = lancedb.connect("db://client-will-be-injected", api_key="fake")

rust/ffi/node/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "vectordb-node"
-version = "0.4.8"
+version = "0.4.7"
 description = "Serverless, low-latency vector database for AI applications"
 license = "Apache-2.0"
 edition = "2018"

rust/ffi/node/src/lib.rs

@@ -260,7 +260,6 @@ fn main(mut cx: ModuleContext) -> NeonResult<()> {
     cx.export_function("tableCountRows", JsTable::js_count_rows)?;
     cx.export_function("tableDelete", JsTable::js_delete)?;
     cx.export_function("tableUpdate", JsTable::js_update)?;
-    cx.export_function("tableMergeInsert", JsTable::js_merge_insert)?;
     cx.export_function("tableCleanupOldVersions", JsTable::js_cleanup)?;
     cx.export_function("tableCompactFiles", JsTable::js_compact)?;
     cx.export_function("tableListIndices", JsTable::js_list_indices)?;

rust/ffi/node/src/table.rs

@@ -12,8 +12,6 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use std::ops::Deref;
-
 use arrow_array::{RecordBatch, RecordBatchIterator};
 use lance::dataset::optimize::CompactionOptions;
 use lance::dataset::{WriteMode, WriteParams};
@@ -168,53 +166,6 @@ impl JsTable {
         Ok(promise)
     }
 
-    pub(crate) fn js_merge_insert(mut cx: FunctionContext) -> JsResult<JsPromise> {
-        let js_table = cx.this().downcast_or_throw::<JsBox<JsTable>, _>(&mut cx)?;
-        let rt = runtime(&mut cx)?;
-        let (deferred, promise) = cx.promise();
-        let channel = cx.channel();
-        let table = js_table.table.clone();
-
-        let key = cx.argument::<JsString>(0)?.value(&mut cx);
-        let mut builder = table.merge_insert(&[&key]);
-        if cx.argument::<JsBoolean>(1)?.value(&mut cx) {
-            builder.when_matched_update_all();
-        }
-        if cx.argument::<JsBoolean>(2)?.value(&mut cx) {
-            builder.when_not_matched_insert_all();
-        }
-        if cx.argument::<JsBoolean>(3)?.value(&mut cx) {
-            if let Some(filter) = cx.argument_opt(4) {
-                if filter.is_a::<JsNull, _>(&mut cx) {
-                    builder.when_not_matched_by_source_delete(None);
-                } else {
-                    let filter = filter
-                        .downcast_or_throw::<JsString, _>(&mut cx)?
-                        .deref()
-                        .value(&mut cx);
-                    builder.when_not_matched_by_source_delete(Some(filter));
-                }
-            } else {
-                builder.when_not_matched_by_source_delete(None);
-            }
-        }
-
-        let buffer = cx.argument::<JsBuffer>(5)?;
-        let (batches, schema) =
-            arrow_buffer_to_record_batch(buffer.as_slice(&cx)).or_throw(&mut cx)?;
-
-        rt.spawn(async move {
-            let new_data = RecordBatchIterator::new(batches.into_iter().map(Ok), schema);
-            let merge_insert_result = builder.execute(Box::new(new_data)).await;
-
-            deferred.settle_with(&channel, move |mut cx| {
-                merge_insert_result.or_throw(&mut cx)?;
-                Ok(cx.boxed(JsTable::from(table)))
-            })
-        });
-        Ok(promise)
-    }
-
     pub(crate) fn js_update(mut cx: FunctionContext) -> JsResult<JsPromise> {
         let js_table = cx.this().downcast_or_throw::<JsBox<JsTable>, _>(&mut cx)?;
         let table = js_table.table.clone();

rust/vectordb/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "vectordb"
-version = "0.4.8"
+version = "0.4.7"
 edition = "2021"
 description = "LanceDB: A serverless, low-latency vector database for AI applications"
 license = "Apache-2.0"

rust/vectordb/src/table.rs

@@ -19,7 +19,6 @@ use std::sync::{Arc, Mutex};
 
 use arrow_array::RecordBatchReader;
 use arrow_schema::{Schema, SchemaRef};
-use async_trait::async_trait;
 use chrono::Duration;
 use lance::dataset::builder::DatasetBuilder;
 use lance::dataset::cleanup::RemovalStats;
@@ -28,7 +27,6 @@ use lance::dataset::optimize::{
 };
 pub use lance::dataset::ReadParams;
 use lance::dataset::{Dataset, UpdateBuilder, WriteParams};
-use lance::dataset::{MergeInsertBuilder as LanceMergeInsertBuilder, WhenNotMatchedBySource};
 use lance::io::WrappingObjectStore;
 use lance_index::{optimize::OptimizeOptions, DatasetIndexExt};
 use log::info;
@@ -40,10 +38,6 @@ use crate::query::Query;
 use crate::utils::{PatchReadParam, PatchWriteParam};
 use crate::WriteMode;
 
-use self::merge::{MergeInsert, MergeInsertBuilder};
-
-pub mod merge;
-
 /// Optimize the dataset.
 ///
 /// Similar to `VACUUM` in PostgreSQL, it offers different options to
@@ -176,71 +170,6 @@ pub trait Table: std::fmt::Display + Send + Sync {
     /// ```
     fn create_index(&self, column: &[&str]) -> IndexBuilder;
 
-    /// Create a builder for a merge insert operation
-    ///
-    /// This operation can add rows, update rows, and remove rows all in a single
-    /// transaction. It is a very generic tool that can be used to create
-    /// behaviors like "insert if not exists", "update or insert (i.e. upsert)",
-    /// or even replace a portion of existing data with new data (e.g. replace
-    /// all data where month="january")
-    ///
-    /// The merge insert operation works by combining new data from a
-    /// **source table** with existing data in a **target table** by using a
-    /// join.  There are three categories of records.
-    ///
-    /// "Matched" records are records that exist in both the source table and
-    /// the target table. "Not matched" records exist only in the source table
-    /// (e.g. these are new data) "Not matched by source" records exist only
-    /// in the target table (this is old data)
-    ///
-    /// The builder returned by this method can be used to customize what
-    /// should happen for each category of data.
-    ///
-    /// Please note that the data may appear to be reordered as part of this
-    /// operation.  This is because updated rows will be deleted from the
-    /// dataset and then reinserted at the end with the new values.
-    ///
-    /// # Arguments
-    ///
-    /// * `on` One or more columns to join on.  This is how records from the
-    ///    source table and target table are matched.  Typically this is some
-    ///    kind of key or id column.
-    ///
-    /// # Examples
-    ///
-    /// ```no_run
-    /// # use std::sync::Arc;
-    /// # use vectordb::connection::{Database, Connection};
-    /// # use arrow_array::{FixedSizeListArray, types::Float32Type, RecordBatch,
-    /// #   RecordBatchIterator, Int32Array};
-    /// # use arrow_schema::{Schema, Field, DataType};
-    /// # tokio::runtime::Runtime::new().unwrap().block_on(async {
-    /// let tmpdir = tempfile::tempdir().unwrap();
-    /// let db = Database::connect(tmpdir.path().to_str().unwrap()).await.unwrap();
-    /// # let tbl = db.open_table("idx_test").await.unwrap();
-    /// # let schema = Arc::new(Schema::new(vec![
-    /// #  Field::new("id", DataType::Int32, false),
-    /// #  Field::new("vector", DataType::FixedSizeList(
-    /// #    Arc::new(Field::new("item", DataType::Float32, true)), 128), true),
-    /// # ]));
-    /// let new_data = RecordBatchIterator::new(vec![
-    ///     RecordBatch::try_new(schema.clone(),
-    ///        vec![
-    ///            Arc::new(Int32Array::from_iter_values(0..10)),
-    ///            Arc::new(FixedSizeListArray::from_iter_primitive::<Float32Type, _, _>(
-    ///                (0..10).map(|_| Some(vec![Some(1.0); 128])), 128)),
-    ///        ]).unwrap()
-    ///    ].into_iter().map(Ok),
-    ///   schema.clone());
-    /// // Perform an upsert operation
-    /// let mut merge_insert = tbl.merge_insert(&["id"]);
-    /// merge_insert.when_matched_update_all()
-    ///             .when_not_matched_insert_all();
-    /// merge_insert.execute(Box::new(new_data)).await.unwrap();
-    /// # });
-    /// ```
-    fn merge_insert(&self, on: &[&str]) -> MergeInsertBuilder;
-
     /// Search the table with a given query vector.
     ///
     /// This is a convenience method for preparing an ANN query.
@@ -664,42 +593,6 @@ impl NativeTable {
     }
 }
 
-#[async_trait]
-impl MergeInsert for NativeTable {
-    async fn do_merge_insert(
-        &self,
-        params: MergeInsertBuilder,
-        new_data: Box<dyn RecordBatchReader + Send>,
-    ) -> Result<()> {
-        let dataset = Arc::new(self.clone_inner_dataset());
-        let mut builder = LanceMergeInsertBuilder::try_new(dataset.clone(), params.on)?;
-        if params.when_matched_update_all {
-            builder.when_matched(lance::dataset::WhenMatched::UpdateAll);
-        } else {
-            builder.when_matched(lance::dataset::WhenMatched::DoNothing);
-        }
-        if params.when_not_matched_insert_all {
-            builder.when_not_matched(lance::dataset::WhenNotMatched::InsertAll);
-        } else {
-            builder.when_not_matched(lance::dataset::WhenNotMatched::DoNothing);
-        }
-        if params.when_not_matched_by_source_delete {
-            let behavior = if let Some(filter) = params.when_not_matched_by_source_delete_filt {
-                WhenNotMatchedBySource::delete_if(dataset.as_ref(), &filter)?
-            } else {
-                WhenNotMatchedBySource::Delete
-            };
-            builder.when_not_matched_by_source(behavior);
-        } else {
-            builder.when_not_matched_by_source(WhenNotMatchedBySource::Keep);
-        }
-        let job = builder.try_build()?;
-        let new_dataset = job.execute_reader(new_data).await?;
-        self.reset_dataset((*new_dataset).clone());
-        Ok(())
-    }
-}
-
 #[async_trait::async_trait]
 impl Table for NativeTable {
     fn as_any(&self) -> &dyn std::any::Any {
@@ -744,11 +637,6 @@ impl Table for NativeTable {
         Ok(())
     }
 
-    fn merge_insert(&self, on: &[&str]) -> MergeInsertBuilder {
-        let on = Vec::from_iter(on.iter().map(|key| key.to_string()));
-        MergeInsertBuilder::new(Arc::new(self.clone()), on)
-    }
-
     fn create_index(&self, columns: &[&str]) -> IndexBuilder {
         IndexBuilder::new(Arc::new(self.clone()), columns)
     }
@@ -914,38 +802,6 @@ mod tests {
         assert_eq!(table.name, "test");
     }
 
-    #[tokio::test]
-    async fn test_merge_insert() {
-        let tmp_dir = tempdir().unwrap();
-        let uri = tmp_dir.path().to_str().unwrap();
-
-        // Create a dataset with i=0..10
-        let batches = make_test_batches_with_offset(0);
-        let table = NativeTable::create(&uri, "test", batches, None, None)
-            .await
-            .unwrap();
-        assert_eq!(table.count_rows().await.unwrap(), 10);
-
-        // Create new data with i=5..15
-        let new_batches = Box::new(make_test_batches_with_offset(5));
-
-        // Perform a "insert if not exists"
-        let mut merge_insert_builder = table.merge_insert(&["i"]);
-        merge_insert_builder.when_not_matched_insert_all();
-        merge_insert_builder.execute(new_batches).await.unwrap();
-        // Only 5 rows should actually be inserted
-        assert_eq!(table.count_rows().await.unwrap(), 15);
-
-        // Create new data with i=15..25 (no id matches)
-        let new_batches = Box::new(make_test_batches_with_offset(15));
-        // Perform a "bulk update" (should not affect anything)
-        let mut merge_insert_builder = table.merge_insert(&["i"]);
-        merge_insert_builder.when_matched_update_all();
-        merge_insert_builder.execute(new_batches).await.unwrap();
-        // No new rows should have been inserted
-        assert_eq!(table.count_rows().await.unwrap(), 15);
-    }
-
     #[tokio::test]
     async fn test_add_overwrite() {
         let tmp_dir = tempdir().unwrap();
@@ -1292,25 +1148,17 @@ mod tests {
         assert!(wrapper.called());
     }
 
-    fn make_test_batches_with_offset(
+    fn make_test_batches() -> impl RecordBatchReader + Send + Sync + 'static {
-        offset: i32,
-    ) -> impl RecordBatchReader + Send + Sync + 'static {
         let schema = Arc::new(Schema::new(vec![Field::new("i", DataType::Int32, false)]));
         RecordBatchIterator::new(
             vec![RecordBatch::try_new(
                 schema.clone(),
-                vec![Arc::new(Int32Array::from_iter_values(
+                vec![Arc::new(Int32Array::from_iter_values(0..10))],
-                    offset..(offset + 10),
-                ))],
             )],
             schema,
         )
     }
 
-    fn make_test_batches() -> impl RecordBatchReader + Send + Sync + 'static {
-        make_test_batches_with_offset(0)
-    }
-
     #[tokio::test]
     async fn test_create_index() {
         use arrow_array::RecordBatch;

rust/vectordb/src/table/merge.rs

@@ -1,95 +0,0 @@
-// Copyright 2024 Lance Developers.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-use std::sync::Arc;
-
-use arrow_array::RecordBatchReader;
-use async_trait::async_trait;
-
-use crate::Result;
-
-#[async_trait]
-pub(super) trait MergeInsert: Send + Sync {
-    async fn do_merge_insert(
-        &self,
-        params: MergeInsertBuilder,
-        new_data: Box<dyn RecordBatchReader + Send>,
-    ) -> Result<()>;
-}
-
-/// A builder used to create and run a merge insert operation
-///
-/// See [`super::Table::merge_insert`] for more context
-pub struct MergeInsertBuilder {
-    table: Arc<dyn MergeInsert>,
-    pub(super) on: Vec<String>,
-    pub(super) when_matched_update_all: bool,
-    pub(super) when_not_matched_insert_all: bool,
-    pub(super) when_not_matched_by_source_delete: bool,
-    pub(super) when_not_matched_by_source_delete_filt: Option<String>,
-}
-
-impl MergeInsertBuilder {
-    pub(super) fn new(table: Arc<dyn MergeInsert>, on: Vec<String>) -> Self {
-        Self {
-            table,
-            on,
-            when_matched_update_all: false,
-            when_not_matched_insert_all: false,
-            when_not_matched_by_source_delete: false,
-            when_not_matched_by_source_delete_filt: None,
-        }
-    }
-
-    /// Rows that exist in both the source table (new data) and
-    /// the target table (old data) will be updated, replacing
-    /// the old row with the corresponding matching row.
-    ///
-    /// If there are multiple matches then the behavior is undefined.
-    /// Currently this causes multiple copies of the row to be created
-    /// but that behavior is subject to change.
-    pub fn when_matched_update_all(&mut self) -> &mut Self {
-        self.when_matched_update_all = true;
-        self
-    }
-
-    /// Rows that exist only in the source table (new data) should
-    /// be inserted into the target table.
-    pub fn when_not_matched_insert_all(&mut self) -> &mut Self {
-        self.when_not_matched_insert_all = true;
-        self
-    }
-
-    /// Rows that exist only in the target table (old data) will be
-    /// deleted.  An optional condition can be provided to limit what
-    /// data is deleted.
-    ///
-    /// # Arguments
-    ///
-    /// * `condition` - If None then all such rows will be deleted.
-    ///   Otherwise the condition will be used as an SQL filter to
-    ///   limit what rows are deleted.
-    pub fn when_not_matched_by_source_delete(&mut self, filter: Option<String>) -> &mut Self {
-        self.when_not_matched_by_source_delete = true;
-        self.when_not_matched_by_source_delete_filt = filter;
-        self
-    }
-
-    /// Executes the merge insert operation
-    ///
-    /// Nothing is returned but the [`super::Table`] is updated
-    pub async fn execute(self, new_data: Box<dyn RecordBatchReader + Send>) -> Result<()> {
-        self.table.clone().do_merge_insert(self, new_data).await
-    }
-}