fix small details

Closes #2191


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

- **Chores**
- Updated the required version of the pyarrow package to version 16 or
higher.
- Adjusted automated testing workflows to install pyarrow version 16 for
compatibility checks.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

.bumpversion.toml

@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.19.0-beta.11"
+current_version = "0.19.1-beta.1"
 parse = """(?x)
     (?P<major>0|[1-9]\\d*)\\.
     (?P<minor>0|[1-9]\\d*)\\.

.github/workflows/python.yml

@@ -228,6 +228,7 @@ jobs:
       - name: Install lancedb
         run: |
           pip install "pydantic<2"
+          pip install pyarrow==16
           pip install --extra-index-url https://pypi.fury.io/lancedb/ -e .[tests]
           pip install tantivy
       - name: Run tests

Cargo.toml

@@ -21,14 +21,14 @@ categories = ["database-implementations"]
 rust-version = "1.78.0"
 
 [workspace.dependencies]
-lance = { "version" = "=0.26.0", "features" = ["dynamodb"] }
+lance = { "version" = "=0.27.0", "features" = ["dynamodb"], tag = "v0.27.0-beta.2", git="https://github.com/lancedb/lance.git" }
-lance-io = "=0.26.0"
+lance-io = { version = "=0.27.0", tag = "v0.27.0-beta.2", git="https://github.com/lancedb/lance.git" }
-lance-index = "=0.26.0"
+lance-index = { version = "=0.27.0", tag = "v0.27.0-beta.2", git="https://github.com/lancedb/lance.git" }
-lance-linalg = "=0.26.0"
+lance-linalg = { version = "=0.27.0", tag = "v0.27.0-beta.2", git="https://github.com/lancedb/lance.git" }
-lance-table = "=0.26.0"
+lance-table = { version = "=0.27.0", tag = "v0.27.0-beta.2", git="https://github.com/lancedb/lance.git" }
-lance-testing = "=0.26.0"
+lance-testing = { version = "=0.27.0", tag = "v0.27.0-beta.2", git="https://github.com/lancedb/lance.git" }
-lance-datafusion = "=0.26.0"
+lance-datafusion = { version = "=0.27.0", tag = "v0.27.0-beta.2", git="https://github.com/lancedb/lance.git" }
-lance-encoding = "=0.26.0"
+lance-encoding = { version = "=0.27.0", tag = "v0.27.0-beta.2", git="https://github.com/lancedb/lance.git" }
 # Note that this one does not include pyarrow
 arrow = { version = "54.1", optional = false }
 arrow-array = "54.1"

docs/mkdocs.yml

@@ -105,7 +105,8 @@ markdown_extensions:
 nav:
   - Home:
       - LanceDB: index.md
-      - 🏃🏼‍♂️ Quick start: basic.md
+      - 👉 Quickstart: quickstart.md
+      - 🏃🏼‍♂️ Basic Usage: basic.md
       - 📚 Concepts:
           - Vector search: concepts/vector_search.md
           - Indexing:
@@ -237,7 +238,9 @@ nav:
           - 👾 JavaScript (lancedb): js/globals.md
           - 🦀 Rust: https://docs.rs/lancedb/latest/lancedb/
 
-  - Quick start: basic.md
+  - Getting Started:
+      - Quickstart: quickstart.md
+      - Basic Usage: basic.md
   - Concepts:
       - Vector search: concepts/vector_search.md
       - Indexing:

docs/src/basic.md

@@ -1,4 +1,4 @@
-# Quick start
+# Basic Usage
 
 !!! info "LanceDB can be run in a number of ways:"
 

docs/src/js/classes/MergeInsertBuilder.md

@@ -33,20 +33,20 @@ Construct a MergeInsertBuilder. __Internal use only.__
 ### execute()
 
 ```ts
-execute(data): Promise<void>
+execute(data): Promise<MergeStats>
 ```
 
 Executes the merge insert operation
 
-Nothing is returned but the `Table` is updated
-
 #### Parameters
 
 * **data**: [`Data`](../type-aliases/Data.md)
 
 #### Returns
 
-`Promise`&lt;`void`&gt;
+`Promise`&lt;[`MergeStats`](../interfaces/MergeStats.md)&gt;
+
+Statistics about the merge operation: counts of inserted, updated, and deleted rows
 
 ***
 

docs/src/js/classes/Table.md

@@ -117,8 +117,8 @@ wish to return to standard mode, call `checkoutLatest`.
 
 #### Parameters
 
-* **version**: `number`
+* **version**: `string` \| `number`
-    The version to checkout
+    The version to checkout, could be version number or tag
 
 #### Returns
 
@@ -615,6 +615,50 @@ of the given query
 
 ***
 
+### stats()
+
+```ts
+abstract stats(): Promise<TableStatistics>
+```
+
+Returns table and fragment statistics
+
+#### Returns
+
+`Promise`&lt;[`TableStatistics`](../interfaces/TableStatistics.md)&gt;
+
+The table and fragment statistics
+
+***
+
+### tags()
+
+```ts
+abstract tags(): Promise<Tags>
+```
+
+Get a tags manager for this table.
+
+Tags allow you to label specific versions of a table with a human-readable name.
+The returned tags manager can be used to list, create, update, or delete tags.
+
+#### Returns
+
+`Promise`&lt;[`Tags`](Tags.md)&gt;
+
+A tags manager for this table
+
+#### Example
+
+```typescript
+const tagsManager = await table.tags();
+await tagsManager.create("v1", 1);
+const tags = await tagsManager.list();
+console.log(tags); // { "v1": { version: 1, manifestSize: ... } }
+```
+
+***
+
 ### toArrow()
 
 ```ts

docs/src/js/classes/TagContents.md

@@ -0,0 +1,35 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / TagContents
+
+# Class: TagContents
+
+## Constructors
+
+### new TagContents()
+
+```ts
+new TagContents(): TagContents
+```
+
+#### Returns
+
+[`TagContents`](TagContents.md)
+
+## Properties
+
+### manifestSize
+
+```ts
+manifestSize: number;
+```
+
+***
+
+### version
+
+```ts
+version: number;
+```

docs/src/js/classes/Tags.md

@@ -0,0 +1,99 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / Tags
+
+# Class: Tags
+
+## Constructors
+
+### new Tags()
+
+```ts
+new Tags(): Tags
+```
+
+#### Returns
+
+[`Tags`](Tags.md)
+
+## Methods
+
+### create()
+
+```ts
+create(tag, version): Promise<void>
+```
+
+#### Parameters
+
+* **tag**: `string`
+
+* **version**: `number`
+
+#### Returns
+
+`Promise`&lt;`void`&gt;
+
+***
+
+### delete()
+
+```ts
+delete(tag): Promise<void>
+```
+
+#### Parameters
+
+* **tag**: `string`
+
+#### Returns
+
+`Promise`&lt;`void`&gt;
+
+***
+
+### getVersion()
+
+```ts
+getVersion(tag): Promise<number>
+```
+
+#### Parameters
+
+* **tag**: `string`
+
+#### Returns
+
+`Promise`&lt;`number`&gt;
+
+***
+
+### list()
+
+```ts
+list(): Promise<Record<string, TagContents>>
+```
+
+#### Returns
+
+`Promise`&lt;`Record`&lt;`string`, [`TagContents`](TagContents.md)&gt;&gt;
+
+***
+
+### update()
+
+```ts
+update(tag, version): Promise<void>
+```
+
+#### Parameters
+
+* **tag**: `string`
+
+* **version**: `number`
+
+#### Returns
+
+`Promise`&lt;`void`&gt;

docs/src/js/globals.md

@@ -27,6 +27,8 @@
 - [QueryBase](classes/QueryBase.md)
 - [RecordBatchIterator](classes/RecordBatchIterator.md)
 - [Table](classes/Table.md)
+- [TagContents](classes/TagContents.md)
+- [Tags](classes/Tags.md)
 - [VectorColumnOptions](classes/VectorColumnOptions.md)
 - [VectorQuery](classes/VectorQuery.md)
 
@@ -40,6 +42,8 @@
 - [ConnectionOptions](interfaces/ConnectionOptions.md)
 - [CreateTableOptions](interfaces/CreateTableOptions.md)
 - [ExecutableQuery](interfaces/ExecutableQuery.md)
+- [FragmentStatistics](interfaces/FragmentStatistics.md)
+- [FragmentSummaryStats](interfaces/FragmentSummaryStats.md)
 - [FtsOptions](interfaces/FtsOptions.md)
 - [FullTextQuery](interfaces/FullTextQuery.md)
 - [FullTextSearchOptions](interfaces/FullTextSearchOptions.md)
@@ -50,6 +54,7 @@
 - [IndexStatistics](interfaces/IndexStatistics.md)
 - [IvfFlatOptions](interfaces/IvfFlatOptions.md)
 - [IvfPqOptions](interfaces/IvfPqOptions.md)
+- [MergeStats](interfaces/MergeStats.md)
 - [OpenTableOptions](interfaces/OpenTableOptions.md)
 - [OptimizeOptions](interfaces/OptimizeOptions.md)
 - [OptimizeStats](interfaces/OptimizeStats.md)
@@ -57,6 +62,7 @@
 - [RemovalStats](interfaces/RemovalStats.md)
 - [RetryConfig](interfaces/RetryConfig.md)
 - [TableNamesOptions](interfaces/TableNamesOptions.md)
+- [TableStatistics](interfaces/TableStatistics.md)
 - [TimeoutConfig](interfaces/TimeoutConfig.md)
 - [UpdateOptions](interfaces/UpdateOptions.md)
 - [Version](interfaces/Version.md)

docs/src/js/interfaces/FragmentStatistics.md

@@ -0,0 +1,37 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / FragmentStatistics
+
+# Interface: FragmentStatistics
+
+## Properties
+
+### lengths
+
+```ts
+lengths: FragmentSummaryStats;
+```
+
+Statistics on the number of rows in the table fragments
+
+***
+
+### numFragments
+
+```ts
+numFragments: number;
+```
+
+The number of fragments in the table
+
+***
+
+### numSmallFragments
+
+```ts
+numSmallFragments: number;
+```
+
+The number of uncompacted fragments in the table

docs/src/js/interfaces/FragmentSummaryStats.md

@@ -0,0 +1,77 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / FragmentSummaryStats
+
+# Interface: FragmentSummaryStats
+
+## Properties
+
+### max
+
+```ts
+max: number;
+```
+
+The number of rows in the fragment with the most rows
+
+***
+
+### mean
+
+```ts
+mean: number;
+```
+
+The mean number of rows in the fragments
+
+***
+
+### min
+
+```ts
+min: number;
+```
+
+The number of rows in the fragment with the fewest rows
+
+***
+
+### p25
+
+```ts
+p25: number;
+```
+
+The 25th percentile of number of rows in the fragments
+
+***
+
+### p50
+
+```ts
+p50: number;
+```
+
+The 50th percentile of number of rows in the fragments
+
+***
+
+### p75
+
+```ts
+p75: number;
+```
+
+The 75th percentile of number of rows in the fragments
+
+***
+
+### p99
+
+```ts
+p99: number;
+```
+
+The 99th percentile of number of rows in the fragments

docs/src/js/interfaces/MergeStats.md

@@ -0,0 +1,31 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / MergeStats
+
+# Interface: MergeStats
+
+## Properties
+
+### numDeletedRows
+
+```ts
+numDeletedRows: bigint;
+```
+
+***
+
+### numInsertedRows
+
+```ts
+numInsertedRows: bigint;
+```
+
+***
+
+### numUpdatedRows
+
+```ts
+numUpdatedRows: bigint;
+```

docs/src/js/interfaces/TableStatistics.md

@@ -0,0 +1,47 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / TableStatistics
+
+# Interface: TableStatistics
+
+## Properties
+
+### fragmentStats
+
+```ts
+fragmentStats: FragmentStatistics;
+```
+
+Statistics on table fragments
+
+***
+
+### numIndices
+
+```ts
+numIndices: number;
+```
+
+The number of indices in the table
+
+***
+
+### numRows
+
+```ts
+numRows: number;
+```
+
+The number of rows in the table
+
+***
+
+### totalBytes
+
+```ts
+totalBytes: number;
+```
+
+The total number of bytes in the table

docs/src/quickstart.md

@@ -0,0 +1,101 @@
+
+# Getting Started with LanceDB: A Minimal Vector Search Tutorial
+
+Let's set up a LanceDB database, insert vector data, and perform a simple vector search. We'll use simple character classes like "knight" and "rogue" to illustrate semantic relevance.
+
+## 1. Install Dependencies
+
+Before starting, make sure you have the necessary packages:
+
+```bash
+pip install lancedb pandas numpy
+```
+
+## 2. Import Required Libraries
+
+```python
+import lancedb
+import pandas as pd
+import numpy as np
+```
+
+## 3. Connect to LanceDB
+
+You can use a local directory to store your database:
+
+```python
+db = lancedb.connect("./lancedb")
+```
+
+## 4. Create Sample Data
+
+Add sample text data and corresponding 4D vectors:
+
+```python
+data = pd.DataFrame([
+    {"id": "1", "vector": [1.0, 0.0, 0.0, 0.0], "text": "knight"},
+    {"id": "2", "vector": [0.9, 0.1, 0.0, 0.0], "text": "warrior"},
+    {"id": "3", "vector": [0.0, 1.0, 0.0, 0.0], "text": "rogue"},
+    {"id": "4", "vector": [0.0, 0.9, 0.1, 0.0], "text": "thief"},
+    {"id": "5", "vector": [0.5, 0.5, 0.0, 0.0], "text": "ranger"},
+])
+```
+
+## 5. Create a Table in LanceDB
+
+```python
+table = db.create_table("rpg_classes", data=data, mode="overwrite")
+```
+
+Let's see how the table looks:
+```python
+print(data)
+```
+
+| id | vector | text |
+|----|--------|------|
+| 1 | [1.0, 0.0, 0.0, 0.0] | knight |
+| 2 | [0.9, 0.1, 0.0, 0.0] | warrior |
+| 3 | [0.0, 1.0, 0.0, 0.0] | rogue |
+| 4 | [0.0, 0.9, 0.1, 0.0] | thief |
+| 5 | [0.5, 0.5, 0.0, 0.0] | ranger |
+
+
+
+## 6. Perform a Vector Search
+
+Search for the most similar character classes to our query vector:
+
+```python
+# Query as if we are searching for "rogue"
+results = table.search([0.95, 0.05, 0.0, 0.0]).limit(3).to_df()
+print(results)
+```
+
+This will return the top 3 closest classes to the vector, effectively showing how LanceDB can be used for semantic search.
+
+|  id  |          vector         |   text   | _distance |
+|------|------------------------|----------|-----------|
+|  3   | [0.0, 1.0, 0.0, 0.0]  |  rogue   |   0.00   |
+|  4   | [0.0, 0.9, 0.1, 0.0]  | thief |   0.02   |
+|  5   | [0.5, 0.5, 0.0, 0.0]  |  ranger  |   0.50   |
+
+Let's try searching for "knight"
+
+```python
+query_vector = [1.0, 0.0, 0.0, 0.0]
+results = table.search(query_vector).limit(3).to_pandas()
+print(results)
+```
+
+|  id  |          vector         |   text   | _distance |
+|------|------------------------|----------|-----------|
+|  1   | [1.0, 0.0, 0.0, 0.0]  |  knight  |   0.00   |
+|  2   | [0.9, 0.1, 0.0, 0.0]  | warrior  |   0.02   |
+|  5   | [0.5, 0.5, 0.0, 0.0]  |  ranger  |   0.50   |
+
+## Next Steps
+
+That's it - you just conducted vector search!
+
+For more beginner tips, check out the [Basic Usage](basic.md) guide.

java/core/pom.xml

@@ -8,7 +8,7 @@
     <parent>
         <groupId>com.lancedb</groupId>
         <artifactId>lancedb-parent</artifactId>
-        <version>0.19.0-beta.11</version>
+        <version>0.19.1-beta.1</version>
         <relativePath>../pom.xml</relativePath>
     </parent>
 

java/pom.xml

@@ -6,7 +6,7 @@
 
     <groupId>com.lancedb</groupId>
     <artifactId>lancedb-parent</artifactId>
-    <version>0.19.0-beta.11</version>
+    <version>0.19.1-beta.1</version>
     <packaging>pom</packaging>
 
     <name>LanceDB Parent</name>

node/package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "vectordb",
-  "version": "0.19.0-beta.11",
+  "version": "0.19.1-beta.1",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "vectordb",
-      "version": "0.19.0-beta.11",
+      "version": "0.19.1-beta.1",
       "cpu": [
         "x64",
         "arm64"
@@ -52,11 +52,11 @@
         "uuid": "^9.0.0"
       },
       "optionalDependencies": {
-        "@lancedb/vectordb-darwin-arm64": "0.19.0-beta.11",
+        "@lancedb/vectordb-darwin-arm64": "0.19.1-beta.1",
-        "@lancedb/vectordb-darwin-x64": "0.19.0-beta.11",
+        "@lancedb/vectordb-darwin-x64": "0.19.1-beta.1",
-        "@lancedb/vectordb-linux-arm64-gnu": "0.19.0-beta.11",
+        "@lancedb/vectordb-linux-arm64-gnu": "0.19.1-beta.1",
-        "@lancedb/vectordb-linux-x64-gnu": "0.19.0-beta.11",
+        "@lancedb/vectordb-linux-x64-gnu": "0.19.1-beta.1",
-        "@lancedb/vectordb-win32-x64-msvc": "0.19.0-beta.11"
+        "@lancedb/vectordb-win32-x64-msvc": "0.19.1-beta.1"
       },
       "peerDependencies": {
         "@apache-arrow/ts": "^14.0.2",
@@ -327,9 +327,9 @@
       }
     },
     "node_modules/@lancedb/vectordb-darwin-arm64": {
-      "version": "0.19.0-beta.11",
+      "version": "0.19.1-beta.1",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.19.0-beta.11.tgz",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.19.1-beta.1.tgz",
-      "integrity": "sha512-fLefGJYdlIRIjrJj8MU1r5Zix5LpKktpCYilA7tZrfvBWkubGceJ+U6RPsWz7VGBfWcETo3g5CBooUPhbtSMlQ==",
+      "integrity": "sha512-Epvel0pF5TM6MtIWQ2KhqezqSSHTL3Wr7a2rGAwz6X/XY23i6DbMPpPs0HyeIDzDrhxNfE3cz3S+SiCA6xpR0g==",
       "cpu": [
         "arm64"
       ],
@@ -340,9 +340,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-darwin-x64": {
-      "version": "0.19.0-beta.11",
+      "version": "0.19.1-beta.1",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.19.0-beta.11.tgz",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.19.1-beta.1.tgz",
-      "integrity": "sha512-FkCa1TbPLDXAGhlRI4tafcltzApCsyvgi+I+kX07u5DKPNQVALpQ3R6X6GLlbiFsAFBdyv9t2fqQ9DlgjJIZpA==",
+      "integrity": "sha512-hOiUSlIoISbiXytp46hToi/r6sF5pImAsfbzCsIq8ExDV4TPa8fjbhcIT80vxxOwc2mpSSK4HsVJYod95RSbEQ==",
       "cpu": [
         "x64"
       ],
@@ -353,9 +353,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-linux-arm64-gnu": {
-      "version": "0.19.0-beta.11",
+      "version": "0.19.1-beta.1",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.19.0-beta.11.tgz",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.19.1-beta.1.tgz",
-      "integrity": "sha512-iZkL/01HNUNQ8pGK0+hoNyrM7P1YtShsyIQVzJMfo41SAofCBf9qvi9YaYyd49sDb+dQXeRn1+cfaJ9siz1OHw==",
+      "integrity": "sha512-/1JhGVDEngwrlM8o2TNW8G6nJ9U/VgHKAORmj/cTA7O30helJIoo9jfvUAUy+vZ4VoEwRXQbMI+gaYTg0l3MTg==",
       "cpu": [
         "arm64"
       ],
@@ -366,9 +366,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-linux-x64-gnu": {
-      "version": "0.19.0-beta.11",
+      "version": "0.19.1-beta.1",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.19.0-beta.11.tgz",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.19.1-beta.1.tgz",
-      "integrity": "sha512-MdKRHxe2tRQqmExNLv3f6Wvx1mEi98eFtD0ysm4tNrQdaS1MJbTp+DUehrRKkfDWsooalHkIi9d02BVw5qseUQ==",
+      "integrity": "sha512-zNRGSSUt8nTJMmll4NdxhQjwxR8Rezq3T4dsRoiDts5ienMam5HFjYiZ3FkDZQo16rgq2BcbFuH1G8u1chywlg==",
       "cpu": [
         "x64"
       ],
@@ -379,9 +379,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-win32-x64-msvc": {
-      "version": "0.19.0-beta.11",
+      "version": "0.19.1-beta.1",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.19.0-beta.11.tgz",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.19.1-beta.1.tgz",
-      "integrity": "sha512-KWy+t9jr0feJAW9NkmM/w9kfdpp78+7mkeh9lb0g3xI3OdYU1yizNqFjbIQqJf7/L4sou4wmOjAC+FcP8qCtzg==",
+      "integrity": "sha512-yV550AJGlsIFdm1KoHQPJ1TZx121ZXCIdebBtBZj3wOObIhyB/i0kZAtGvwjkmr7EYyfzt1EHZzbjSGVdehIAA==",
       "cpu": [
         "x64"
       ],

node/package.json

@@ -1,6 +1,6 @@
 {
   "name": "vectordb",
-  "version": "0.19.0-beta.11",
+  "version": "0.19.1-beta.1",
   "description": " Serverless, low-latency vector database for AI applications",
   "private": false,
   "main": "dist/index.js",
@@ -89,10 +89,10 @@
     }
   },
   "optionalDependencies": {
-    "@lancedb/vectordb-darwin-x64": "0.19.0-beta.11",
+    "@lancedb/vectordb-darwin-x64": "0.19.1-beta.1",
-    "@lancedb/vectordb-darwin-arm64": "0.19.0-beta.11",
+    "@lancedb/vectordb-darwin-arm64": "0.19.1-beta.1",
-    "@lancedb/vectordb-linux-x64-gnu": "0.19.0-beta.11",
+    "@lancedb/vectordb-linux-x64-gnu": "0.19.1-beta.1",
-    "@lancedb/vectordb-linux-arm64-gnu": "0.19.0-beta.11",
+    "@lancedb/vectordb-linux-arm64-gnu": "0.19.1-beta.1",
-    "@lancedb/vectordb-win32-x64-msvc": "0.19.0-beta.11"
+    "@lancedb/vectordb-win32-x64-msvc": "0.19.1-beta.1"
   }
 }

nodejs/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.19.0-beta.11"
+version = "0.19.1-beta.1"
 license.workspace = true
 description.workspace = true
 repository.workspace = true

nodejs/__test__/arrow.test.ts

@@ -374,6 +374,71 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
         expect(table2.numRows).toBe(4);
         expect(table2.schema).toEqual(schema);
       });
+
+      it("should correctly retain values in nested struct fields", async function () {
+        // Define test data with nested struct
+        const testData = [
+          {
+            id: "doc1",
+            vector: [1, 2, 3],
+            metadata: {
+              filePath: "/path/to/file1.ts",
+              startLine: 10,
+              endLine: 20,
+              text: "function test() { return true; }",
+            },
+          },
+          {
+            id: "doc2",
+            vector: [4, 5, 6],
+            metadata: {
+              filePath: "/path/to/file2.ts",
+              startLine: 30,
+              endLine: 40,
+              text: "function test2() { return false; }",
+            },
+          },
+        ];
+
+        // Create Arrow table from the data
+        const table = makeArrowTable(testData);
+
+        // Verify schema has the nested struct fields
+        const metadataField = table.schema.fields.find(
+          (f) => f.name === "metadata",
+        );
+        expect(metadataField).toBeDefined();
+        // biome-ignore lint/suspicious/noExplicitAny: accessing fields in different Arrow versions
+        const childNames = metadataField?.type.children.map((c: any) => c.name);
+        expect(childNames).toEqual([
+          "filePath",
+          "startLine",
+          "endLine",
+          "text",
+        ]);
+
+        // Convert to buffer and back (simulating storage and retrieval)
+        const buf = await fromTableToBuffer(table);
+        const retrievedTable = tableFromIPC(buf);
+
+        // Verify the retrieved table has the same structure
+        const rows = [];
+        for (let i = 0; i < retrievedTable.numRows; i++) {
+          rows.push(retrievedTable.get(i));
+        }
+
+        // Check values in the first row
+        const firstRow = rows[0];
+        expect(firstRow.id).toBe("doc1");
+        expect(firstRow.vector.toJSON()).toEqual([1, 2, 3]);
+
+        // Verify metadata values are preserved (this is where the bug is)
+        expect(firstRow.metadata).toBeDefined();
+        expect(firstRow.metadata.filePath).toBe("/path/to/file1.ts");
+        expect(firstRow.metadata.startLine).toBe(10);
+        expect(firstRow.metadata.endLine).toBe(20);
+        expect(firstRow.metadata.text).toBe("function test() { return true; }");
+      });
     });
 
     class DummyEmbedding extends EmbeddingFunction<string> {

nodejs/__test__/table.test.ts

@@ -71,6 +71,29 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
       await expect(table.countRows()).resolves.toBe(3);
     });
 
+    it("should show table stats", async () => {
+      await table.add([{ id: 1 }, { id: 2 }]);
+      await table.add([{ id: 1 }]);
+      await expect(table.stats()).resolves.toEqual({
+        fragmentStats: {
+          lengths: {
+            max: 2,
+            mean: 1,
+            min: 1,
+            p25: 1,
+            p50: 2,
+            p75: 2,
+            p99: 2,
+          },
+          numFragments: 2,
+          numSmallFragments: 2,
+        },
+        numIndices: 0,
+        numRows: 3,
+        totalBytes: 24,
+      });
+    });
+
     it("should overwrite data if asked", async () => {
       await table.add([{ id: 1 }, { id: 2 }]);
       await table.add([{ id: 1 }], { mode: "overwrite" });
@@ -315,11 +338,16 @@ describe("merge insert", () => {
       { a: 3, b: "y" },
       { a: 4, b: "z" },
     ];
-    await table
+    const stats = await table
       .mergeInsert("a")
       .whenMatchedUpdateAll()
       .whenNotMatchedInsertAll()
       .execute(newData);
+
+    expect(stats.numInsertedRows).toBe(1n);
+    expect(stats.numUpdatedRows).toBe(2n);
+    expect(stats.numDeletedRows).toBe(0n);
+
     const expected = [
       { a: 1, b: "a" },
       { a: 2, b: "x" },
@@ -1178,6 +1206,73 @@ describe("when dealing with versioning", () => {
   });
 });
 
+describe("when dealing with tags", () => {
+  let tmpDir: tmp.DirResult;
+  beforeEach(() => {
+    tmpDir = tmp.dirSync({ unsafeCleanup: true });
+  });
+  afterEach(() => {
+    tmpDir.removeCallback();
+  });
+
+  it("can manage tags", async () => {
+    const conn = await connect(tmpDir.name, {
+      readConsistencyInterval: 0,
+    });
+
+    const table = await conn.createTable("my_table", [
+      { id: 1n, vector: [0.1, 0.2] },
+    ]);
+    expect(await table.version()).toBe(1);
+
+    await table.add([{ id: 2n, vector: [0.3, 0.4] }]);
+    expect(await table.version()).toBe(2);
+
+    const tagsManager = await table.tags();
+
+    const initialTags = await tagsManager.list();
+    expect(Object.keys(initialTags).length).toBe(0);
+
+    const tag1 = "tag1";
+    await tagsManager.create(tag1, 1);
+    expect(await tagsManager.getVersion(tag1)).toBe(1);
+
+    const tagsAfterFirst = await tagsManager.list();
+    expect(Object.keys(tagsAfterFirst).length).toBe(1);
+    expect(tagsAfterFirst).toHaveProperty(tag1);
+    expect(tagsAfterFirst[tag1].version).toBe(1);
+
+    await tagsManager.create("tag2", 2);
+    expect(await tagsManager.getVersion("tag2")).toBe(2);
+
+    const tagsAfterSecond = await tagsManager.list();
+    expect(Object.keys(tagsAfterSecond).length).toBe(2);
+    expect(tagsAfterSecond).toHaveProperty(tag1);
+    expect(tagsAfterSecond[tag1].version).toBe(1);
+    expect(tagsAfterSecond).toHaveProperty("tag2");
+    expect(tagsAfterSecond["tag2"].version).toBe(2);
+
+    await table.add([{ id: 3n, vector: [0.5, 0.6] }]);
+    await tagsManager.update(tag1, 3);
+    expect(await tagsManager.getVersion(tag1)).toBe(3);
+
+    await tagsManager.delete("tag2");
+    const tagsAfterDelete = await tagsManager.list();
+    expect(Object.keys(tagsAfterDelete).length).toBe(1);
+    expect(tagsAfterDelete).toHaveProperty(tag1);
+    expect(tagsAfterDelete[tag1].version).toBe(3);
+
+    await table.add([{ id: 4n, vector: [0.7, 0.8] }]);
+    expect(await table.version()).toBe(4);
+
+    await table.checkout(tag1);
+    expect(await table.version()).toBe(3);
+
+    await table.checkoutLatest();
+    expect(await table.version()).toBe(4);
+  });
+});
+
 describe("when optimizing a dataset", () => {
   let tmpDir: tmp.DirResult;
   let table: Table;

nodejs/lancedb/arrow.ts

@@ -639,8 +639,9 @@ function transposeData(
 ): Vector {
   if (field.type instanceof Struct) {
     const childFields = field.type.children;
+    const fullPath = [...path, field.name];
     const childVectors = childFields.map((child) => {
-      return transposeData(data, child, [...path, child.name]);
+      return transposeData(data, child, fullPath);
     });
     const structData = makeData({
       type: field.type,
@@ -652,7 +653,14 @@ function transposeData(
     const values = data.map((datum) => {
       let current: unknown = datum;
       for (const key of valuesPath) {
-        if (isObject(current) && Object.hasOwn(current, key)) {
+        if (current == null) {
+          return null;
+        }
+
+        if (
+          isObject(current) &&
+          (Object.hasOwn(current, key) || key in current)
+        ) {
           current = current[key];
         } else {
           return null;

nodejs/lancedb/index.ts

@@ -23,6 +23,12 @@ export {
   OptimizeStats,
   CompactionStats,
   RemovalStats,
+  TableStatistics,
+  FragmentStatistics,
+  FragmentSummaryStats,
+  Tags,
+  TagContents,
+  MergeStats,
 } from "./native.js";
 
 export {

nodejs/lancedb/merge.ts

@@ -1,7 +1,7 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors
 import { Data, Schema, fromDataToBuffer } from "./arrow";
-import { NativeMergeInsertBuilder } from "./native";
+import { MergeStats, NativeMergeInsertBuilder } from "./native";
 
 /** A builder used to create and run a merge insert operation */
 export class MergeInsertBuilder {
@@ -73,9 +73,9 @@ export class MergeInsertBuilder {
   /**
    * Executes the merge insert operation
    *
-   * Nothing is returned but the `Table` is updated
+   * @returns Statistics about the merge operation: counts of inserted, updated, and deleted rows
    */
-  async execute(data: Data): Promise<void> {
+  async execute(data: Data): Promise<MergeStats> {
     let schema: Schema;
     if (this.#schema instanceof Promise) {
       schema = await this.#schema;
@@ -84,6 +84,6 @@ export class MergeInsertBuilder {
       schema = this.#schema;
     }
     const buffer = await fromDataToBuffer(data, undefined, schema);
-    await this.#native.execute(buffer);
+    return await this.#native.execute(buffer);
   }
 }

nodejs/lancedb/table.ts

@@ -20,6 +20,8 @@ import {
   IndexConfig,
   IndexStatistics,
   OptimizeStats,
+  TableStatistics,
+  Tags,
   Table as _NativeTable,
 } from "./native";
 import {
@@ -374,7 +376,7 @@ export abstract class Table {
    *
    * Calling this method will set the table into time-travel mode. If you
    * wish to return to standard mode, call `checkoutLatest`.
-   * @param {number} version The version to checkout
+   * @param {number | string} version The version to checkout, could be version number or tag
    * @example
    * ```typescript
    * import * as lancedb from "@lancedb/lancedb"
@@ -390,7 +392,8 @@ export abstract class Table {
    * console.log(await table.version()); // 2
    * ```
    */
-  abstract checkout(version: number): Promise<void>;
+  abstract checkout(version: number | string): Promise<void>;
+
   /**
    * Checkout the latest version of the table. _This is an in-place operation._
    *
@@ -404,6 +407,23 @@ export abstract class Table {
    */
   abstract listVersions(): Promise<Version[]>;
 
+  /**
+   * Get a tags manager for this table.
+   *
+   * Tags allow you to label specific versions of a table with a human-readable name.
+   * The returned tags manager can be used to list, create, update, or delete tags.
+   *
+   * @returns {Tags} A tags manager for this table
+   * @example
+   * ```typescript
+   * const tagsManager = await table.tags();
+   * await tagsManager.create("v1", 1);
+   * const tags = await tagsManager.list();
+   * console.log(tags); // { "v1": { version: 1, manifestSize: ... } }
+   * ```
+   */
+  abstract tags(): Promise<Tags>;
+
   /**
    * Restore the table to the currently checked out version
    *
@@ -463,6 +483,13 @@ export abstract class Table {
    * Use {@link Table.listIndices} to find the names of the indices.
    */
   abstract indexStats(name: string): Promise<IndexStatistics | undefined>;
+
+  /** Returns table and fragment statistics
+   *
+   * @returns {TableStatistics} The table and fragment statistics
+   *
+   */
+  abstract stats(): Promise<TableStatistics>;
 }
 
 export class LocalTable extends Table {
@@ -699,8 +726,11 @@ export class LocalTable extends Table {
     return await this.inner.version();
   }
 
-  async checkout(version: number): Promise<void> {
+  async checkout(version: number | string): Promise<void> {
-    await this.inner.checkout(version);
+    if (typeof version === "string") {
+      return this.inner.checkoutTag(version);
+    }
+    return this.inner.checkout(version);
   }
 
   async checkoutLatest(): Promise<void> {
@@ -719,6 +749,10 @@ export class LocalTable extends Table {
     await this.inner.restore();
   }
 
+  async tags(): Promise<Tags> {
+    return await this.inner.tags();
+  }
+
   async optimize(options?: Partial<OptimizeOptions>): Promise<OptimizeStats> {
     let cleanupOlderThanMs;
     if (
@@ -749,6 +783,11 @@ export class LocalTable extends Table {
     }
     return stats;
   }
+
+  async stats(): Promise<TableStatistics> {
+    return await this.inner.stats();
+  }
+
   mergeInsert(on: string | string[]): MergeInsertBuilder {
     on = Array.isArray(on) ? on : [on];
     return new MergeInsertBuilder(this.inner.mergeInsert(on), this.schema());

nodejs/npm/darwin-arm64/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.19.0-beta.11",
+	"version": "0.19.1-beta.1",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",

nodejs/npm/darwin-x64/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-x64",
-	"version": "0.19.0-beta.11",
+	"version": "0.19.1-beta.1",
 	"os": ["darwin"],
 	"cpu": ["x64"],
 	"main": "lancedb.darwin-x64.node",

nodejs/npm/linux-arm64-gnu/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.19.0-beta.11",
+	"version": "0.19.1-beta.1",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",

nodejs/npm/linux-arm64-musl/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.19.0-beta.11",
+	"version": "0.19.1-beta.1",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",

nodejs/npm/linux-x64-gnu/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.19.0-beta.11",
+	"version": "0.19.1-beta.1",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",

nodejs/npm/linux-x64-musl/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.19.0-beta.11",
+	"version": "0.19.1-beta.1",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",

nodejs/npm/win32-arm64-msvc/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.19.0-beta.11",
+  "version": "0.19.1-beta.1",
   "os": [
     "win32"
   ],

nodejs/npm/win32-x64-msvc/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.19.0-beta.11",
+	"version": "0.19.1-beta.1",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",

nodejs/package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "@lancedb/lancedb",
-  "version": "0.19.0-beta.11",
+  "version": "0.19.1-beta.1",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "@lancedb/lancedb",
-      "version": "0.19.0-beta.11",
+      "version": "0.19.1-beta.1",
       "cpu": [
         "x64",
         "arm64"

nodejs/package.json

@@ -11,7 +11,7 @@
     "ann"
   ],
   "private": false,
-  "version": "0.19.0-beta.11",
+  "version": "0.19.1-beta.1",
   "main": "dist/index.js",
   "exports": {
     ".": "./dist/index.js",

nodejs/src/merge.rs

@@ -37,7 +37,7 @@ impl NativeMergeInsertBuilder {
     }
 
     #[napi(catch_unwind)]
-    pub async fn execute(&self, buf: Buffer) -> napi::Result<()> {
+    pub async fn execute(&self, buf: Buffer) -> napi::Result<MergeStats> {
         let data = ipc_file_to_batches(buf.to_vec())
             .and_then(IntoArrow::into_arrow)
             .map_err(|e| {
@@ -46,12 +46,14 @@ impl NativeMergeInsertBuilder {
 
         let this = self.clone();
 
-        this.inner.execute(data).await.map_err(|e| {
+        let stats = this.inner.execute(data).await.map_err(|e| {
             napi::Error::from_reason(format!(
                 "Failed to execute merge insert: {}",
                 convert_error(&e)
             ))
-        })
+        })?;
+
+        Ok(stats.into())
     }
 }
 
@@ -60,3 +62,20 @@ impl From<MergeInsertBuilder> for NativeMergeInsertBuilder {
         Self { inner }
     }
 }
+
+#[napi(object)]
+pub struct MergeStats {
+    pub num_inserted_rows: BigInt,
+    pub num_updated_rows: BigInt,
+    pub num_deleted_rows: BigInt,
+}
+
+impl From<lancedb::table::MergeStats> for MergeStats {
+    fn from(stats: lancedb::table::MergeStats) -> Self {
+        Self {
+            num_inserted_rows: stats.num_inserted_rows.into(),
+            num_updated_rows: stats.num_updated_rows.into(),
+            num_deleted_rows: stats.num_deleted_rows.into(),
+        }
+    }
+}

nodejs/src/table.rs

@@ -157,6 +157,12 @@ impl Table {
             .default_error()
     }
 
+    #[napi(catch_unwind)]
+    pub async fn stats(&self) -> Result<TableStatistics> {
+        let stats = self.inner_ref()?.stats().await.default_error()?;
+        Ok(stats.into())
+    }
+
     #[napi(catch_unwind)]
     pub async fn update(
         &self,
@@ -249,6 +255,14 @@ impl Table {
             .default_error()
     }
 
+    #[napi(catch_unwind)]
+    pub async fn checkout_tag(&self, tag: String) -> napi::Result<()> {
+        self.inner_ref()?
+            .checkout_tag(tag.as_str())
+            .await
+            .default_error()
+    }
+
     #[napi(catch_unwind)]
     pub async fn checkout_latest(&self) -> napi::Result<()> {
         self.inner_ref()?.checkout_latest().await.default_error()
@@ -281,6 +295,13 @@ impl Table {
         self.inner_ref()?.restore().await.default_error()
     }
 
+    #[napi(catch_unwind)]
+    pub async fn tags(&self) -> napi::Result<Tags> {
+        Ok(Tags {
+            inner: self.inner_ref()?.clone(),
+        })
+    }
+
     #[napi(catch_unwind)]
     pub async fn optimize(
         &self,
@@ -540,9 +561,158 @@ impl From<lancedb::index::IndexStatistics> for IndexStatistics {
     }
 }
 
+#[napi(object)]
+pub struct TableStatistics {
+    /// The total number of bytes in the table
+    pub total_bytes: i64,
+
+    /// The number of rows in the table
+    pub num_rows: i64,
+
+    /// The number of indices in the table
+    pub num_indices: i64,
+
+    /// Statistics on table fragments
+    pub fragment_stats: FragmentStatistics,
+}
+
+#[napi(object)]
+pub struct FragmentStatistics {
+    /// The number of fragments in the table
+    pub num_fragments: i64,
+
+    /// The number of uncompacted fragments in the table
+    pub num_small_fragments: i64,
+
+    /// Statistics on the number of rows in the table fragments
+    pub lengths: FragmentSummaryStats,
+}
+
+#[napi(object)]
+pub struct FragmentSummaryStats {
+    /// The number of rows in the fragment with the fewest rows
+    pub min: i64,
+
+    /// The number of rows in the fragment with the most rows
+    pub max: i64,
+
+    /// The mean number of rows in the fragments
+    pub mean: i64,
+
+    /// The 25th percentile of number of rows in the fragments
+    pub p25: i64,
+
+    /// The 50th percentile of number of rows in the fragments
+    pub p50: i64,
+
+    /// The 75th percentile of number of rows in the fragments
+    pub p75: i64,
+
+    /// The 99th percentile of number of rows in the fragments
+    pub p99: i64,
+}
+
+impl From<lancedb::table::TableStatistics> for TableStatistics {
+    fn from(v: lancedb::table::TableStatistics) -> Self {
+        Self {
+            total_bytes: v.total_bytes as i64,
+            num_rows: v.num_rows as i64,
+            num_indices: v.num_indices as i64,
+            fragment_stats: FragmentStatistics {
+                num_fragments: v.fragment_stats.num_fragments as i64,
+                num_small_fragments: v.fragment_stats.num_small_fragments as i64,
+                lengths: FragmentSummaryStats {
+                    min: v.fragment_stats.lengths.min as i64,
+                    max: v.fragment_stats.lengths.max as i64,
+                    mean: v.fragment_stats.lengths.mean as i64,
+                    p25: v.fragment_stats.lengths.p25 as i64,
+                    p50: v.fragment_stats.lengths.p50 as i64,
+                    p75: v.fragment_stats.lengths.p75 as i64,
+                    p99: v.fragment_stats.lengths.p99 as i64,
+                },
+            },
+        }
+    }
+}
+
 #[napi(object)]
 pub struct Version {
     pub version: i64,
     pub timestamp: i64,
     pub metadata: HashMap<String, String>,
 }
+
+#[napi]
+pub struct TagContents {
+    pub version: i64,
+    pub manifest_size: i64,
+}
+
+#[napi]
+pub struct Tags {
+    inner: LanceDbTable,
+}
+
+#[napi]
+impl Tags {
+    #[napi]
+    pub async fn list(&self) -> napi::Result<HashMap<String, TagContents>> {
+        let rust_tags = self.inner.tags().await.default_error()?;
+        let tag_list = rust_tags.as_ref().list().await.default_error()?;
+        let tag_contents = tag_list
+            .into_iter()
+            .map(|(k, v)| {
+                (
+                    k,
+                    TagContents {
+                        version: v.version as i64,
+                        manifest_size: v.manifest_size as i64,
+                    },
+                )
+            })
+            .collect();
+
+        Ok(tag_contents)
+    }
+
+    #[napi]
+    pub async fn get_version(&self, tag: String) -> napi::Result<i64> {
+        let rust_tags = self.inner.tags().await.default_error()?;
+        rust_tags
+            .as_ref()
+            .get_version(tag.as_str())
+            .await
+            .map(|v| v as i64)
+            .default_error()
+    }
+
+    #[napi]
+    pub async unsafe fn create(&mut self, tag: String, version: i64) -> napi::Result<()> {
+        let mut rust_tags = self.inner.tags().await.default_error()?;
+        rust_tags
+            .as_mut()
+            .create(tag.as_str(), version as u64)
+            .await
+            .default_error()
+    }
+
+    #[napi]
+    pub async unsafe fn delete(&mut self, tag: String) -> napi::Result<()> {
+        let mut rust_tags = self.inner.tags().await.default_error()?;
+        rust_tags
+            .as_mut()
+            .delete(tag.as_str())
+            .await
+            .default_error()
+    }
+
+    #[napi]
+    pub async unsafe fn update(&mut self, tag: String, version: i64) -> napi::Result<()> {
+        let mut rust_tags = self.inner.tags().await.default_error()?;
+        rust_tags
+            .as_mut()
+            .update(tag.as_str(), version as u64)
+            .await
+            .default_error()
+    }
+}

python/.bumpversion.toml

@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.22.0"
+current_version = "0.22.1-beta.1"
 parse = """(?x)
     (?P<major>0|[1-9]\\d*)\\.
     (?P<minor>0|[1-9]\\d*)\\.

python/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.22.0"
+version = "0.22.1-beta.1"
 edition.workspace = true
 description = "Python bindings for LanceDB"
 license.workspace = true

python/pyproject.toml

@@ -7,7 +7,7 @@ dependencies = [
     "numpy",
     "overrides>=0.7",
     "packaging",
-    "pyarrow>=14",
+    "pyarrow>=16",
     "pydantic>=1.10",
     "tqdm>=4.27.0",
 ]

python/python/lancedb/_lancedb.pyi

@@ -1,5 +1,5 @@
 from datetime import timedelta
-from typing import Dict, List, Optional, Tuple, Any, Union, Literal
+from typing import Dict, List, Optional, Tuple, Any, TypedDict, Union, Literal
 
 import pyarrow as pa
 
@@ -47,7 +47,7 @@ class Table:
     ): ...
     async def list_versions(self) -> List[Dict[str, Any]]: ...
     async def version(self) -> int: ...
-    async def checkout(self, version: int): ...
+    async def checkout(self, version: Union[int, str]): ...
     async def checkout_latest(self): ...
     async def restore(self, version: Optional[int] = None): ...
     async def list_indices(self) -> list[IndexConfig]: ...
@@ -61,9 +61,18 @@ class Table:
         cleanup_since_ms: Optional[int] = None,
         delete_unverified: Optional[bool] = None,
     ) -> OptimizeStats: ...
+    @property
+    def tags(self) -> Tags: ...
     def query(self) -> Query: ...
     def vector_search(self) -> VectorQuery: ...
 
+class Tags:
+    async def list(self) -> Dict[str, Tag]: ...
+    async def get_version(self, tag: str) -> int: ...
+    async def create(self, tag: str, version: int): ...
+    async def delete(self, tag: str): ...
+    async def update(self, tag: str, version: int): ...
+
 class IndexConfig:
     index_type: str
     columns: List[str]
@@ -195,3 +204,7 @@ class RemovalStats:
 class OptimizeStats:
     compaction: CompactionStats
     prune: RemovalStats
+
+class Tag(TypedDict):
+    version: int
+    manifest_size: int

python/python/lancedb/query.py

@@ -1636,51 +1636,7 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
         raise NotImplementedError("to_query_object not yet supported on a hybrid query")
 
     def to_arrow(self, *, timeout: Optional[timedelta] = None) -> pa.Table:
-        vector_query, fts_query = self._validate_query(
+        self._create_query_builders()
-            self._query, self._vector, self._text
-        )
-        self._fts_query = LanceFtsQueryBuilder(
-            self._table, fts_query, fts_columns=self._fts_columns
-        )
-        vector_query = self._query_to_vector(
-            self._table, vector_query, self._vector_column
-        )
-        self._vector_query = LanceVectorQueryBuilder(
-            self._table, vector_query, self._vector_column
-        )
-
-        if self._limit:
-            self._vector_query.limit(self._limit)
-            self._fts_query.limit(self._limit)
-        if self._columns:
-            self._vector_query.select(self._columns)
-            self._fts_query.select(self._columns)
-        if self._where:
-            self._vector_query.where(self._where, self._postfilter)
-            self._fts_query.where(self._where, self._postfilter)
-        if self._with_row_id:
-            self._vector_query.with_row_id(True)
-            self._fts_query.with_row_id(True)
-        if self._phrase_query:
-            self._fts_query.phrase_query(True)
-        if self._distance_type:
-            self._vector_query.metric(self._distance_type)
-        if self._nprobes:
-            self._vector_query.nprobes(self._nprobes)
-        if self._refine_factor:
-            self._vector_query.refine_factor(self._refine_factor)
-        if self._ef:
-            self._vector_query.ef(self._ef)
-        if self._bypass_vector_index:
-            self._vector_query.bypass_vector_index()
-        if self._lower_bound or self._upper_bound:
-            self._vector_query.distance_range(
-                lower_bound=self._lower_bound, upper_bound=self._upper_bound
-            )
-
-        if self._reranker is None:
-            self._reranker = RRFReranker()
-
         with ThreadPoolExecutor() as executor:
             fts_future = executor.submit(
                 self._fts_query.with_row_id(True).to_arrow, timeout=timeout
@@ -2003,6 +1959,112 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
         self._bypass_vector_index = True
         return self
 
+    def explain_plan(self, verbose: Optional[bool] = False) -> str:
+        """Return the execution plan for this query.
+
+        Examples
+        --------
+        >>> import lancedb
+        >>> db = lancedb.connect("./.lancedb")
+        >>> table = db.create_table("my_table", [{"vector": [99.0, 99]}])
+        >>> query = [100, 100]
+        >>> plan = table.search(query).explain_plan(True)
+        >>> print(plan) # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE
+        ProjectionExec: expr=[vector@0 as vector, _distance@2 as _distance]
+        GlobalLimitExec: skip=0, fetch=10
+          FilterExec: _distance@2 IS NOT NULL
+            SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], preserve_partitioning=[false]
+              KNNVectorDistance: metric=l2
+                LanceScan: uri=..., projection=[vector], row_id=true, row_addr=false, ordered=false
+
+        Parameters
+        ----------
+        verbose : bool, default False
+            Use a verbose output format.
+
+        Returns
+        -------
+        plan : str
+        """  # noqa: E501
+        self._create_query_builders()
+
+        results = ["Vector Search Plan:"]
+        results.append(
+            self._table._explain_plan(
+                self._vector_query.to_query_object(), verbose=verbose
+            )
+        )
+        results.append("FTS Search Plan:")
+        results.append(
+            self._table._explain_plan(
+                self._fts_query.to_query_object(), verbose=verbose
+            )
+        )
+        return "\n".join(results)
+
+    def analyze_plan(self):
+        """Execute the query and display with runtime metrics.
+
+        Returns
+        -------
+        plan : str
+        """
+        self._create_query_builders()
+
+        results = ["Vector Search Plan:"]
+        results.append(self._table._analyze_plan(self._vector_query.to_query_object()))
+        results.append("FTS Search Plan:")
+        results.append(self._table._analyze_plan(self._fts_query.to_query_object()))
+        return "\n".join(results)
+
+    def _create_query_builders(self):
+        """Set up and configure the vector and FTS query builders."""
+        vector_query, fts_query = self._validate_query(
+            self._query, self._vector, self._text
+        )
+        self._fts_query = LanceFtsQueryBuilder(
+            self._table, fts_query, fts_columns=self._fts_columns
+        )
+        vector_query = self._query_to_vector(
+            self._table, vector_query, self._vector_column
+        )
+        self._vector_query = LanceVectorQueryBuilder(
+            self._table, vector_query, self._vector_column
+        )
+
+        # Apply common configurations
+        if self._limit:
+            self._vector_query.limit(self._limit)
+            self._fts_query.limit(self._limit)
+        if self._columns:
+            self._vector_query.select(self._columns)
+            self._fts_query.select(self._columns)
+        if self._where:
+            self._vector_query.where(self._where, self._postfilter)
+            self._fts_query.where(self._where, self._postfilter)
+        if self._with_row_id:
+            self._vector_query.with_row_id(True)
+            self._fts_query.with_row_id(True)
+        if self._phrase_query:
+            self._fts_query.phrase_query(True)
+        if self._distance_type:
+            self._vector_query.metric(self._distance_type)
+        if self._nprobes:
+            self._vector_query.nprobes(self._nprobes)
+        if self._refine_factor:
+            self._vector_query.refine_factor(self._refine_factor)
+        if self._ef:
+            self._vector_query.ef(self._ef)
+        if self._bypass_vector_index:
+            self._vector_query.bypass_vector_index()
+        if self._lower_bound or self._upper_bound:
+            self._vector_query.distance_range(
+                lower_bound=self._lower_bound, upper_bound=self._upper_bound
+            )
+
+        if self._reranker is None:
+            self._reranker = RRFReranker()
+
 
 class AsyncQueryBase(object):
     def __init__(self, inner: Union[LanceQuery, LanceVectorQuery]):

python/python/lancedb/remote/table.py

@@ -18,7 +18,7 @@ from lancedb.merge import LanceMergeInsertBuilder
 from lancedb.embeddings import EmbeddingFunctionRegistry
 
 from ..query import LanceVectorQueryBuilder, LanceQueryBuilder
-from ..table import AsyncTable, IndexStatistics, Query, Table
+from ..table import AsyncTable, IndexStatistics, Query, Table, Tags
 
 
 class RemoteTable(Table):
@@ -54,6 +54,10 @@ class RemoteTable(Table):
         """Get the current version of the table"""
         return LOOP.run(self._table.version())
 
+    @property
+    def tags(self) -> Tags:
+        return Tags(self._table)
+
     @cached_property
     def embedding_functions(self) -> Dict[str, EmbeddingFunctionConfig]:
         """
@@ -81,7 +85,7 @@ class RemoteTable(Table):
         """to_pandas() is not yet supported on LanceDB cloud."""
         return NotImplementedError("to_pandas() is not yet supported on LanceDB cloud.")
 
-    def checkout(self, version: int):
+    def checkout(self, version: Union[int, str]):
         return LOOP.run(self._table.checkout(version))
 
     def checkout_latest(self):
@@ -574,6 +578,9 @@ class RemoteTable(Table):
     ):
         return LOOP.run(self._table.wait_for_index(index_names, timeout))
 
+    def stats(self):
+        return LOOP.run(self._table.stats())
+
     def uses_v2_manifest_paths(self) -> bool:
         raise NotImplementedError(
             "uses_v2_manifest_paths() is not supported on the LanceDB Cloud"

python/python/lancedb/table.py

@@ -77,6 +77,7 @@ if TYPE_CHECKING:
         OptimizeStats,
         CleanupStats,
         CompactionStats,
+        Tag,
     )
     from .db import LanceDBConnection
     from .index import IndexConfig
@@ -582,6 +583,35 @@ class Table(ABC):
         """
         raise NotImplementedError
 
+    @property
+    @abstractmethod
+    def tags(self) -> Tags:
+        """Tag management for the table.
+
+        Similar to Git, tags are a way to add metadata to a specific version of the
+        table.
+
+        .. warning::
+
+            Tagged versions are exempted from the :py:meth:`cleanup_old_versions()`
+            process.
+
+            To remove a version that has been tagged, you must first
+            :py:meth:`~Tags.delete` the associated tag.
+
+        Examples
+        --------
+
+        .. code-block:: python
+
+            table = db.open_table("my_table")
+            table.tags.create("v2-prod-20250203", 10)
+
+            tags = table.tags.list()
+
+        """
+        raise NotImplementedError
+
     @property
     @abstractmethod
     def embedding_functions(self) -> Dict[str, EmbeddingFunctionConfig]:
@@ -709,6 +739,13 @@ class Table(ABC):
         """
         raise NotImplementedError
 
+    @abstractmethod
+    def stats(self) -> TableStatistics:
+        """
+        Retrieve table and fragment statistics.
+        """
+        raise NotImplementedError
+
     @abstractmethod
     def create_scalar_index(
         self,
@@ -925,10 +962,12 @@ class Table(ABC):
         >>> table = db.create_table("my_table", data)
         >>> new_data = pa.table({"a": [2, 3, 4], "b": ["x", "y", "z"]})
         >>> # Perform a "upsert" operation
-        >>> table.merge_insert("a")             \\
+        >>> stats = table.merge_insert("a")     \\
         ...      .when_matched_update_all()     \\
         ...      .when_not_matched_insert_all() \\
         ...      .execute(new_data)
+        >>> stats
+        {'num_inserted_rows': 1, 'num_updated_rows': 2, 'num_deleted_rows': 0}
         >>> # The order of new rows is non-deterministic since we use
         >>> # a hash-join as part of this operation and so we sort here
         >>> table.to_arrow().sort_by("a").to_pandas()
@@ -1354,7 +1393,7 @@ class Table(ABC):
         """
 
     @abstractmethod
-    def checkout(self, version: int):
+    def checkout(self, version: Union[int, str]):
         """
         Checks out a specific version of the Table
 
@@ -1369,6 +1408,12 @@ class Table(ABC):
         Any operation that modifies the table will fail while the table is in a checked
         out state.
 
+        Parameters
+        ----------
+        version: int | str,
+            The version to check out. A version number (`int`) or a tag
+            (`str`) can be provided.
+
         To return the table to a normal state use `[Self::checkout_latest]`
         """
 
@@ -1538,7 +1583,45 @@ class LanceTable(Table):
         """Get the current version of the table"""
         return LOOP.run(self._table.version())
 
-    def checkout(self, version: int):
+    @property
+    def tags(self) -> Tags:
+        """Tag management for the table.
+
+        Similar to Git, tags are a way to add metadata to a specific version of the
+        table.
+
+        .. warning::
+
+            Tagged versions are exempted from the :py:meth:`cleanup_old_versions()`
+            process.
+
+            To remove a version that has been tagged, you must first
+            :py:meth:`~Tags.delete` the associated tag.
+
+        Returns
+        -------
+        Tags
+            The tag manager for managing tags for the table.
+
+        Examples
+        --------
+        >>> import lancedb
+        >>> db = lancedb.connect("./.lancedb")
+        >>> table = db.create_table("my_table",
+        ...    [{"vector": [1.1, 0.9], "type": "vector"}])
+        >>> table.tags.create("v1", table.version)
+        >>> table.add([{"vector": [0.5, 0.2], "type": "vector"}])
+        >>> tags = table.tags.list()
+        >>> print(tags["v1"]["version"])
+        1
+        >>> table.checkout("v1")
+        >>> table.to_pandas()
+               vector    type
+        0  [1.1, 0.9]  vector
+        """
+        return Tags(self._table)
+
+    def checkout(self, version: Union[int, str]):
         """Checkout a version of the table. This is an in-place operation.
 
         This allows viewing previous versions of the table. If you wish to
@@ -1550,8 +1633,9 @@ class LanceTable(Table):
 
         Parameters
         ----------
-        version : int
+        version: int | str,
-            The version to checkout.
+            The version to check out. A version number (`int`) or a tag
+            (`str`) can be provided.
 
         Examples
         --------
@@ -1801,6 +1885,9 @@ class LanceTable(Table):
     ) -> None:
         return LOOP.run(self._table.wait_for_index(index_names, timeout))
 
+    def stats(self) -> TableStatistics:
+        return LOOP.run(self._table.stats())
+
     def create_scalar_index(
         self,
         column: str,
@@ -2404,7 +2491,9 @@ class LanceTable(Table):
         on_bad_vectors: OnBadVectorsType,
         fill_value: float,
     ):
-        LOOP.run(self._table._do_merge(merge, new_data, on_bad_vectors, fill_value))
+        return LOOP.run(
+            self._table._do_merge(merge, new_data, on_bad_vectors, fill_value)
+        )
 
     @deprecation.deprecated(
         deprecated_in="0.21.0",
@@ -3095,6 +3184,12 @@ class AsyncTable:
         """
         await self._inner.wait_for_index(index_names, timeout)
 
+    async def stats(self) -> TableStatistics:
+        """
+        Retrieve table and fragment statistics.
+        """
+        return await self._inner.stats()
+
     async def add(
         self,
         data: DATA,
@@ -3186,10 +3281,12 @@ class AsyncTable:
         >>> table = db.create_table("my_table", data)
         >>> new_data = pa.table({"a": [2, 3, 4], "b": ["x", "y", "z"]})
         >>> # Perform a "upsert" operation
-        >>> table.merge_insert("a")             \\
+        >>> stats = table.merge_insert("a")     \\
         ...      .when_matched_update_all()     \\
         ...      .when_not_matched_insert_all() \\
         ...      .execute(new_data)
+        >>> stats
+        {'num_inserted_rows': 1, 'num_updated_rows': 2, 'num_deleted_rows': 0}
         >>> # The order of new rows is non-deterministic since we use
         >>> # a hash-join as part of this operation and so we sort here
         >>> table.to_arrow().sort_by("a").to_pandas()
@@ -3545,7 +3642,7 @@ class AsyncTable:
         )
         if isinstance(data, pa.Table):
             data = pa.RecordBatchReader.from_batches(data.schema, data.to_batches())
-        await self._inner.execute_merge_insert(
+        return await self._inner.execute_merge_insert(
             data,
             dict(
                 on=merge._on,
@@ -3746,7 +3843,7 @@ class AsyncTable:
 
         return versions
 
-    async def checkout(self, version: int):
+    async def checkout(self, version: int | str):
         """
         Checks out a specific version of the Table
 
@@ -3761,6 +3858,12 @@ class AsyncTable:
         Any operation that modifies the table will fail while the table is in a checked
         out state.
 
+        Parameters
+        ----------
+        version: int | str,
+            The version to check out. A version number (`int`) or a tag
+            (`str`) can be provided.
+
         To return the table to a normal state use `[Self::checkout_latest]`
         """
         try:
@@ -3798,6 +3901,24 @@ class AsyncTable:
         """
         await self._inner.restore(version)
 
+    @property
+    def tags(self) -> AsyncTags:
+        """Tag management for the dataset.
+
+        Similar to Git, tags are a way to add metadata to a specific version of the
+        dataset.
+
+        .. warning::
+
+            Tagged versions are exempted from the
+            :py:meth:`optimize(cleanup_older_than)` process.
+
+            To remove a version that has been tagged, you must first
+            :py:meth:`~Tags.delete` the associated tag.
+
+        """
+        return AsyncTags(self._inner)
+
     async def optimize(
         self,
         *,
@@ -3967,3 +4088,217 @@ class IndexStatistics:
     # a dictionary instead of a class.
     def __getitem__(self, key):
         return getattr(self, key)
+
+
+@dataclass
+class TableStatistics:
+    """
+    Statistics about a table and fragments.
+
+    Attributes
+    ----------
+    total_bytes: int
+        The total number of bytes in the table.
+    num_rows: int
+        The total number of rows in the table.
+    num_indices: int
+        The total number of indices in the table.
+    fragment_stats: FragmentStatistics
+        Statistics about fragments in the table.
+    """
+
+    total_bytes: int
+    num_rows: int
+    num_indices: int
+    fragment_stats: FragmentStatistics
+
+
+@dataclass
+class FragmentStatistics:
+    """
+    Statistics about fragments.
+
+    Attributes
+    ----------
+    num_fragments: int
+        The total number of fragments in the table.
+    num_small_fragments: int
+        The total number of small fragments in the table.
+        Small fragments have low row counts and may need to be compacted.
+    lengths: FragmentSummaryStats
+        Statistics about the number of rows in the table fragments.
+    """
+
+    num_fragments: int
+    num_small_fragments: int
+    lengths: FragmentSummaryStats
+
+
+@dataclass
+class FragmentSummaryStats:
+    """
+    Statistics about fragments sizes
+
+    Attributes
+    ----------
+    min: int
+        The number of rows in the fragment with the fewest rows.
+    max: int
+        The number of rows in the fragment with the most rows.
+    mean: int
+        The mean number of rows in the fragments.
+    p25: int
+        The 25th percentile of number of rows in the fragments.
+    p50: int
+        The 50th percentile of number of rows in the fragments.
+    p75: int
+        The 75th percentile of number of rows in the fragments.
+    p99: int
+        The 99th percentile of number of rows in the fragments.
+    """
+
+    min: int
+    max: int
+    mean: int
+    p25: int
+    p50: int
+    p75: int
+    p99: int
+
+
+class Tags:
+    """
+    Table tag manager.
+    """
+
+    def __init__(self, table):
+        self._table = table
+
+    def list(self) -> Dict[str, Tag]:
+        """
+        List all table tags.
+
+        Returns
+        -------
+        dict[str, Tag]
+            A dictionary mapping tag names to version numbers.
+        """
+        return LOOP.run(self._table.tags.list())
+
+    def get_version(self, tag: str) -> int:
+        """
+        Get the version of a tag.
+
+        Parameters
+        ----------
+        tag: str,
+            The name of the tag to get the version for.
+        """
+        return LOOP.run(self._table.tags.get_version(tag))
+
+    def create(self, tag: str, version: int) -> None:
+        """
+        Create a tag for a given table version.
+
+        Parameters
+        ----------
+        tag: str,
+            The name of the tag to create. This name must be unique among all tag
+            names for the table.
+        version: int,
+            The table version to tag.
+        """
+        LOOP.run(self._table.tags.create(tag, version))
+
+    def delete(self, tag: str) -> None:
+        """
+        Delete tag from the table.
+
+        Parameters
+        ----------
+        tag: str,
+            The name of the tag to delete.
+        """
+        LOOP.run(self._table.tags.delete(tag))
+
+    def update(self, tag: str, version: int) -> None:
+        """
+        Update tag to a new version.
+
+        Parameters
+        ----------
+        tag: str,
+            The name of the tag to update.
+        version: int,
+            The new table version to tag.
+        """
+        LOOP.run(self._table.tags.update(tag, version))
+
+
+class AsyncTags:
+    """
+    Async table tag manager.
+    """
+
+    def __init__(self, table):
+        self._table = table
+
+    async def list(self) -> Dict[str, Tag]:
+        """
+        List all table tags.
+
+        Returns
+        -------
+        dict[str, Tag]
+            A dictionary mapping tag names to version numbers.
+        """
+        return await self._table.tags.list()
+
+    async def get_version(self, tag: str) -> int:
+        """
+        Get the version of a tag.
+
+        Parameters
+        ----------
+        tag: str,
+            The name of the tag to get the version for.
+        """
+        return await self._table.tags.get_version(tag)
+
+    async def create(self, tag: str, version: int) -> None:
+        """
+        Create a tag for a given table version.
+
+        Parameters
+        ----------
+        tag: str,
+            The name of the tag to create. This name must be unique among all tag
+            names for the table.
+        version: int,
+            The table version to tag.
+        """
+        await self._table.tags.create(tag, version)
+
+    async def delete(self, tag: str) -> None:
+        """
+        Delete tag from the table.
+
+        Parameters
+        ----------
+        tag: str,
+            The name of the tag to delete.
+        """
+        await self._table.tags.delete(tag)
+
+    async def update(self, tag: str, version: int) -> None:
+        """
+        Update tag to a new version.
+
+        Parameters
+        ----------
+        tag: str,
+            The name of the tag to update.
+        version: int,
+            The new table version to tag.
+        """
+        await self._table.tags.update(tag, version)

python/python/tests/docs/test_merge_insert.py

@@ -18,15 +18,19 @@ def test_upsert(mem_db):
         {"id": 1, "name": "Bobby"},
         {"id": 2, "name": "Charlie"},
     ]
-    (
+    stats = (
         table.merge_insert("id")
         .when_matched_update_all()
         .when_not_matched_insert_all()
         .execute(new_users)
     )
     table.count_rows()  # 3
+    stats  # {'num_inserted_rows': 1, 'num_updated_rows': 1, 'num_deleted_rows': 0}
     # --8<-- [end:upsert_basic]
     assert table.count_rows() == 3
+    assert stats["num_inserted_rows"] == 1
+    assert stats["num_updated_rows"] == 1
+    assert stats["num_deleted_rows"] == 0
 
 
 @pytest.mark.asyncio
@@ -44,15 +48,19 @@ async def test_upsert_async(mem_db_async):
         {"id": 1, "name": "Bobby"},
         {"id": 2, "name": "Charlie"},
     ]
-    await (
+    stats = await (
         table.merge_insert("id")
         .when_matched_update_all()
         .when_not_matched_insert_all()
         .execute(new_users)
     )
     await table.count_rows()  # 3
+    stats  # {'num_inserted_rows': 1, 'num_updated_rows': 1, 'num_deleted_rows': 0}
     # --8<-- [end:upsert_basic_async]
     assert await table.count_rows() == 3
+    assert stats["num_inserted_rows"] == 1
+    assert stats["num_updated_rows"] == 1
+    assert stats["num_deleted_rows"] == 0
 
 
 def test_insert_if_not_exists(mem_db):
@@ -69,10 +77,16 @@ def test_insert_if_not_exists(mem_db):
         {"domain": "google.com", "name": "Google"},
         {"domain": "facebook.com", "name": "Facebook"},
     ]
-    (table.merge_insert("domain").when_not_matched_insert_all().execute(new_domains))
+    stats = (
+        table.merge_insert("domain").when_not_matched_insert_all().execute(new_domains)
+    )
     table.count_rows()  # 3
+    stats  # {'num_inserted_rows': 1, 'num_updated_rows': 0, 'num_deleted_rows': 0}
     # --8<-- [end:insert_if_not_exists]
     assert table.count_rows() == 3
+    assert stats["num_inserted_rows"] == 1
+    assert stats["num_updated_rows"] == 0
+    assert stats["num_deleted_rows"] == 0
 
 
 @pytest.mark.asyncio
@@ -90,12 +104,16 @@ async def test_insert_if_not_exists_async(mem_db_async):
         {"domain": "google.com", "name": "Google"},
         {"domain": "facebook.com", "name": "Facebook"},
     ]
-    await (
+    stats = await (
         table.merge_insert("domain").when_not_matched_insert_all().execute(new_domains)
     )
     await table.count_rows()  # 3
+    stats  # {'num_inserted_rows': 1, 'num_updated_rows': 0, 'num_deleted_rows': 0}
     # --8<-- [end:insert_if_not_exists_async]
     assert await table.count_rows() == 3
+    assert stats["num_inserted_rows"] == 1
+    assert stats["num_updated_rows"] == 0
+    assert stats["num_deleted_rows"] == 0
 
 
 def test_replace_range(mem_db):
@@ -113,7 +131,7 @@ def test_replace_range(mem_db):
     new_chunks = [
         {"doc_id": 1, "chunk_id": 0, "text": "Baz"},
     ]
-    (
+    stats = (
         table.merge_insert(["doc_id", "chunk_id"])
         .when_matched_update_all()
         .when_not_matched_insert_all()
@@ -121,8 +139,12 @@ def test_replace_range(mem_db):
         .execute(new_chunks)
     )
     table.count_rows("doc_id = 1")  # 1
+    stats  # {'num_inserted_rows': 0, 'num_updated_rows': 1, 'num_deleted_rows': 1}
     # --8<-- [end:replace_range]
     assert table.count_rows("doc_id = 1") == 1
+    assert stats["num_inserted_rows"] == 0
+    assert stats["num_updated_rows"] == 1
+    assert stats["num_deleted_rows"] == 1
 
 
 @pytest.mark.asyncio
@@ -141,7 +163,7 @@ async def test_replace_range_async(mem_db_async):
     new_chunks = [
         {"doc_id": 1, "chunk_id": 0, "text": "Baz"},
     ]
-    await (
+    stats = await (
         table.merge_insert(["doc_id", "chunk_id"])
         .when_matched_update_all()
         .when_not_matched_insert_all()
@@ -149,5 +171,9 @@ async def test_replace_range_async(mem_db_async):
         .execute(new_chunks)
     )
     await table.count_rows("doc_id = 1")  # 1
+    stats  # {'num_inserted_rows': 0, 'num_updated_rows': 1, 'num_deleted_rows': 1}
     # --8<-- [end:replace_range_async]
     assert await table.count_rows("doc_id = 1") == 1
+    assert stats["num_inserted_rows"] == 0
+    assert stats["num_updated_rows"] == 1
+    assert stats["num_deleted_rows"] == 1

python/python/tests/test_remote_db.py

@@ -389,6 +389,50 @@ def test_table_wait_for_index_timeout():
             table.wait_for_index(["id_idx"], timedelta(seconds=1))
 
 
+def test_stats():
+    stats = {
+        "total_bytes": 38,
+        "num_rows": 2,
+        "num_indices": 0,
+        "fragment_stats": {
+            "num_fragments": 1,
+            "num_small_fragments": 1,
+            "lengths": {
+                "min": 2,
+                "max": 2,
+                "mean": 2,
+                "p25": 2,
+                "p50": 2,
+                "p75": 2,
+                "p99": 2,
+            },
+        },
+    }
+
+    def handler(request):
+        if 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/stats/":
+            request.send_response(200)
+            request.send_header("Content-Type", "application/json")
+            request.end_headers()
+            payload = json.dumps(stats)
+            request.wfile.write(payload.encode())
+        else:
+            print(request.path)
+            request.send_response(404)
+            request.end_headers()
+
+    with mock_lancedb_connection(handler) as db:
+        table = db.create_table("test", [{"id": 1}])
+        res = table.stats()
+        print(f"{res=}")
+        assert res == stats
+
+
 @contextlib.contextmanager
 def query_test_table(query_handler, *, server_version=Version("0.1.0")):
     def handler(request):

python/python/tests/test_table.py

@@ -529,6 +529,113 @@ def test_versioning(mem_db: DBConnection):
     assert len(table) == 2
 
 
+def test_tags(mem_db: DBConnection):
+    table = mem_db.create_table(
+        "test",
+        data=[
+            {"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
+            {"vector": [5.9, 26.5], "item": "bar", "price": 20.0},
+        ],
+    )
+
+    table.tags.create("tag1", 1)
+    tags = table.tags.list()
+    assert "tag1" in tags
+    assert tags["tag1"]["version"] == 1
+
+    table.add(
+        data=[
+            {"vector": [10.0, 11.0], "item": "baz", "price": 30.0},
+        ],
+    )
+
+    table.tags.create("tag2", 2)
+    tags = table.tags.list()
+    assert "tag1" in tags
+    assert "tag2" in tags
+    assert tags["tag1"]["version"] == 1
+    assert tags["tag2"]["version"] == 2
+
+    table.tags.delete("tag2")
+    table.tags.update("tag1", 2)
+    tags = table.tags.list()
+    assert "tag1" in tags
+    assert tags["tag1"]["version"] == 2
+
+    table.tags.update("tag1", 1)
+    tags = table.tags.list()
+    assert "tag1" in tags
+    assert tags["tag1"]["version"] == 1
+
+    table.checkout("tag1")
+    assert table.version == 1
+    assert table.count_rows() == 2
+    table.tags.create("tag2", 2)
+    table.checkout("tag2")
+    assert table.version == 2
+    assert table.count_rows() == 3
+    table.checkout_latest()
+    table.add(
+        data=[
+            {"vector": [12.0, 13.0], "item": "baz", "price": 40.0},
+        ],
+    )
+
+
+@pytest.mark.asyncio
+async def test_async_tags(mem_db_async: AsyncConnection):
+    table = await mem_db_async.create_table(
+        "test",
+        data=[
+            {"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
+            {"vector": [5.9, 26.5], "item": "bar", "price": 20.0},
+        ],
+    )
+
+    await table.tags.create("tag1", 1)
+    tags = await table.tags.list()
+    assert "tag1" in tags
+    assert tags["tag1"]["version"] == 1
+
+    await table.add(
+        data=[
+            {"vector": [10.0, 11.0], "item": "baz", "price": 30.0},
+        ],
+    )
+
+    await table.tags.create("tag2", 2)
+    tags = await table.tags.list()
+    assert "tag1" in tags
+    assert "tag2" in tags
+    assert tags["tag1"]["version"] == 1
+    assert tags["tag2"]["version"] == 2
+
+    await table.tags.delete("tag2")
+    await table.tags.update("tag1", 2)
+    tags = await table.tags.list()
+    assert "tag1" in tags
+    assert tags["tag1"]["version"] == 2
+
+    await table.tags.update("tag1", 1)
+    tags = await table.tags.list()
+    assert "tag1" in tags
+    assert tags["tag1"]["version"] == 1
+
+    await table.checkout("tag1")
+    assert await table.version() == 1
+    assert await table.count_rows() == 2
+    await table.tags.create("tag2", 2)
+    await table.checkout("tag2")
+    assert await table.version() == 2
+    assert await table.count_rows() == 3
+    await table.checkout_latest()
+    await table.add(
+        data=[
+            {"vector": [12.0, 13.0], "item": "baz", "price": 40.0},
+        ],
+    )
+
+
 @patch("lancedb.table.AsyncTable.create_index")
 def test_create_index_method(mock_create_index, mem_db: DBConnection):
     table = mem_db.create_table(
@@ -1588,3 +1695,31 @@ def test_replace_field_metadata(tmp_path):
     schema = table.schema
     field = schema[0].metadata
     assert field == {b"foo": b"bar"}
+
+
+def test_stats(mem_db: DBConnection):
+    table = mem_db.create_table(
+        "my_table",
+        data=[{"text": "foo", "id": 0}, {"text": "bar", "id": 1}],
+    )
+    assert len(table) == 2
+    stats = table.stats()
+    print(f"{stats=}")
+    assert stats == {
+        "total_bytes": 38,
+        "num_rows": 2,
+        "num_indices": 0,
+        "fragment_stats": {
+            "num_fragments": 1,
+            "num_small_fragments": 1,
+            "lengths": {
+                "min": 2,
+                "max": 2,
+                "mean": 2,
+                "p25": 2,
+                "p50": 2,
+                "p75": 2,
+                "p99": 2,
+            },
+        },
+    }

python/src/table.rs

@@ -2,6 +2,11 @@
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors
 use std::{collections::HashMap, sync::Arc};
 
+use crate::{
+    error::PythonErrorExt,
+    index::{extract_index_params, IndexConfig},
+    query::Query,
+};
 use arrow::{
     datatypes::{DataType, Schema},
     ffi_stream::ArrowArrayStreamReader,
@@ -12,19 +17,13 @@ use lancedb::table::{
     Table as LanceDbTable,
 };
 use pyo3::{
-    exceptions::{PyKeyError, PyRuntimeError, PyValueError},
+    exceptions::{PyIOError, PyKeyError, PyRuntimeError, PyValueError},
     pyclass, pymethods,
-    types::{IntoPyDict, PyAnyMethods, PyDict, PyDictMethods},
+    types::{IntoPyDict, PyAnyMethods, PyDict, PyDictMethods, PyInt, PyString},
-    Bound, FromPyObject, PyAny, PyRef, PyResult, Python,
+    Bound, FromPyObject, PyAny, PyObject, PyRef, PyResult, Python,
 };
 use pyo3_async_runtimes::tokio::future_into_py;
 
-use crate::{
-    error::PythonErrorExt,
-    index::{extract_index_params, IndexConfig},
-    query::Query,
-};
-
 /// Statistics about a compaction operation.
 #[pyclass(get_all)]
 #[derive(Clone, Debug)]
@@ -280,6 +279,40 @@ impl Table {
         })
     }
 
+    pub fn stats(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
+        let inner = self_.inner_ref()?.clone();
+        future_into_py(self_.py(), async move {
+            let stats = inner.stats().await.infer_error()?;
+            Python::with_gil(|py| {
+                let dict = PyDict::new(py);
+                dict.set_item("total_bytes", stats.total_bytes)?;
+                dict.set_item("num_rows", stats.num_rows)?;
+                dict.set_item("num_indices", stats.num_indices)?;
+
+                let fragment_stats = PyDict::new(py);
+                fragment_stats.set_item("num_fragments", stats.fragment_stats.num_fragments)?;
+                fragment_stats.set_item(
+                    "num_small_fragments",
+                    stats.fragment_stats.num_small_fragments,
+                )?;
+
+                let fragment_lengths = PyDict::new(py);
+                fragment_lengths.set_item("min", stats.fragment_stats.lengths.min)?;
+                fragment_lengths.set_item("max", stats.fragment_stats.lengths.max)?;
+                fragment_lengths.set_item("mean", stats.fragment_stats.lengths.mean)?;
+                fragment_lengths.set_item("p25", stats.fragment_stats.lengths.p25)?;
+                fragment_lengths.set_item("p50", stats.fragment_stats.lengths.p50)?;
+                fragment_lengths.set_item("p75", stats.fragment_stats.lengths.p75)?;
+                fragment_lengths.set_item("p99", stats.fragment_stats.lengths.p99)?;
+
+                fragment_stats.set_item("lengths", fragment_lengths)?;
+                dict.set_item("fragment_stats", fragment_stats)?;
+
+                Ok(Some(dict.unbind()))
+            })
+        })
+    }
+
     pub fn __repr__(&self) -> String {
         match &self.inner {
             None => format!("ClosedTable({})", self.name),
@@ -322,10 +355,26 @@ impl Table {
         })
     }
 
-    pub fn checkout(self_: PyRef<'_, Self>, version: u64) -> PyResult<Bound<'_, PyAny>> {
+    pub fn checkout(self_: PyRef<'_, Self>, version: PyObject) -> PyResult<Bound<'_, PyAny>> {
         let inner = self_.inner_ref()?.clone();
-        future_into_py(self_.py(), async move {
+        let py = self_.py();
-            inner.checkout(version).await.infer_error()
+        let (is_int, int_value, string_value) = if let Ok(i) = version.downcast_bound::<PyInt>(py) {
+            let num: u64 = i.extract()?;
+            (true, num, String::new())
+        } else if let Ok(s) = version.downcast_bound::<PyString>(py) {
+            let str_value = s.to_string();
+            (false, 0, str_value)
+        } else {
+            return Err(PyIOError::new_err(
+                "version must be an integer or a string.",
+            ));
+        };
+        future_into_py(py, async move {
+            if is_int {
+                inner.checkout(int_value).await.infer_error()
+            } else {
+                inner.checkout_tag(&string_value).await.infer_error()
+            }
         })
     }
 
@@ -352,6 +401,11 @@ impl Table {
         Query::new(self.inner_ref().unwrap().query())
     }
 
+    #[getter]
+    pub fn tags(&self) -> PyResult<Tags> {
+        Ok(Tags::new(self.inner_ref()?.clone()))
+    }
+
     /// Optimize the on-disk data by compacting and pruning old data, for better performance.
     #[pyo3(signature = (cleanup_since_ms=None, delete_unverified=None, retrain=None))]
     pub fn optimize(
@@ -435,8 +489,14 @@ impl Table {
         }
 
         future_into_py(self_.py(), async move {
-            builder.execute(Box::new(batches)).await.infer_error()?;
+            let stats = builder.execute(Box::new(batches)).await.infer_error()?;
-            Ok(())
+            Python::with_gil(|py| {
+                let dict = PyDict::new(py);
+                dict.set_item("num_inserted_rows", stats.num_inserted_rows)?;
+                dict.set_item("num_updated_rows", stats.num_updated_rows)?;
+                dict.set_item("num_deleted_rows", stats.num_deleted_rows)?;
+                Ok(dict.unbind())
+            })
         })
     }
 
@@ -586,3 +646,72 @@ pub struct MergeInsertParams {
     when_not_matched_by_source_delete: bool,
     when_not_matched_by_source_condition: Option<String>,
 }
+
+#[pyclass]
+pub struct Tags {
+    inner: LanceDbTable,
+}
+
+impl Tags {
+    pub fn new(table: LanceDbTable) -> Self {
+        Self { inner: table }
+    }
+}
+
+#[pymethods]
+impl Tags {
+    pub fn list(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
+        let inner = self_.inner.clone();
+        future_into_py(self_.py(), async move {
+            let tags = inner.tags().await.infer_error()?;
+            let res = tags.list().await.infer_error()?;
+
+            Python::with_gil(|py| {
+                let py_dict = PyDict::new(py);
+                for (key, contents) in res {
+                    let value_dict = PyDict::new(py);
+                    value_dict.set_item("version", contents.version)?;
+                    value_dict.set_item("manifest_size", contents.manifest_size)?;
+                    py_dict.set_item(key, value_dict)?;
+                }
+                Ok(py_dict.unbind())
+            })
+        })
+    }
+
+    pub fn get_version(self_: PyRef<'_, Self>, tag: String) -> PyResult<Bound<'_, PyAny>> {
+        let inner = self_.inner.clone();
+        future_into_py(self_.py(), async move {
+            let tags = inner.tags().await.infer_error()?;
+            let res = tags.get_version(tag.as_str()).await.infer_error()?;
+            Ok(res)
+        })
+    }
+
+    pub fn create(self_: PyRef<Self>, tag: String, version: u64) -> PyResult<Bound<PyAny>> {
+        let inner = self_.inner.clone();
+        future_into_py(self_.py(), async move {
+            let mut tags = inner.tags().await.infer_error()?;
+            tags.create(tag.as_str(), version).await.infer_error()?;
+            Ok(())
+        })
+    }
+
+    pub fn delete(self_: PyRef<Self>, tag: String) -> PyResult<Bound<PyAny>> {
+        let inner = self_.inner.clone();
+        future_into_py(self_.py(), async move {
+            let mut tags = inner.tags().await.infer_error()?;
+            tags.delete(tag.as_str()).await.infer_error()?;
+            Ok(())
+        })
+    }
+
+    pub fn update(self_: PyRef<Self>, tag: String, version: u64) -> PyResult<Bound<PyAny>> {
+        let inner = self_.inner.clone();
+        future_into_py(self_.py(), async move {
+            let mut tags = inner.tags().await.infer_error()?;
+            tags.update(tag.as_str(), version).await.infer_error()?;
+            Ok(())
+        })
+    }
+}

rust/ffi/node/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-node"
-version = "0.19.0-beta.11"
+version = "0.19.1-beta.1"
 description = "Serverless, low-latency vector database for AI applications"
 license.workspace = true
 edition.workspace = true

rust/lancedb/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "lancedb"
-version = "0.19.0-beta.11"
+version = "0.19.1-beta.1"
 edition.workspace = true
 description = "LanceDB: A serverless, low-latency vector database for AI applications"
 license.workspace = true

rust/lancedb/src/remote/table.rs

@@ -4,7 +4,8 @@
 use crate::index::Index;
 use crate::index::IndexStatistics;
 use crate::query::{QueryFilter, QueryRequest, Select, VectorQueryRequest};
-use crate::table::{AddDataMode, AnyQuery, Filter};
+use crate::table::Tags;
+use crate::table::{AddDataMode, AnyQuery, Filter, TableStatistics};
 use crate::utils::{supported_btree_data_type, supported_vector_data_type};
 use crate::{DistanceType, Error, Table};
 use arrow_array::{RecordBatch, RecordBatchIterator, RecordBatchReader};
@@ -18,11 +19,13 @@ use futures::TryStreamExt;
 use http::header::CONTENT_TYPE;
 use http::{HeaderName, StatusCode};
 use lance::arrow::json::{JsonDataType, JsonSchema};
+use lance::dataset::refs::TagContents;
 use lance::dataset::scanner::DatasetRecordBatchStream;
 use lance::dataset::{ColumnAlteration, NewColumnTransform, Version};
 use lance_datafusion::exec::{execute_plan, OneShotExec};
 use reqwest::{RequestBuilder, Response};
 use serde::{Deserialize, Serialize};
+use std::collections::HashMap;
 use std::io::Cursor;
 use std::pin::Pin;
 use std::sync::{Arc, Mutex};
@@ -44,9 +47,141 @@ use crate::{
         TableDefinition, UpdateBuilder,
     },
 };
+use lance::dataset::MergeStats;
 
 const REQUEST_TIMEOUT_HEADER: HeaderName = HeaderName::from_static("x-request-timeout-ms");
 
+pub struct RemoteTags<'a, S: HttpSend = Sender> {
+    inner: &'a RemoteTable<S>,
+}
+
+#[async_trait]
+impl<S: HttpSend + 'static> Tags for RemoteTags<'_, S> {
+    async fn list(&self) -> Result<HashMap<String, TagContents>> {
+        let request = self
+            .inner
+            .client
+            .post(&format!("/v1/table/{}/tags/list/", self.inner.name));
+        let (request_id, response) = self.inner.send(request, true).await?;
+        let response = self
+            .inner
+            .check_table_response(&request_id, response)
+            .await?;
+
+        match response.text().await {
+            Ok(body) => {
+                // Explicitly tell serde_json what type we want to deserialize into
+                let tags_map: HashMap<String, TagContents> =
+                    serde_json::from_str(&body).map_err(|e| Error::Http {
+                        source: format!("Failed to parse tags list: {}", e).into(),
+                        request_id,
+                        status_code: None,
+                    })?;
+
+                Ok(tags_map)
+            }
+            Err(err) => {
+                let status_code = err.status();
+                Err(Error::Http {
+                    source: Box::new(err),
+                    request_id,
+                    status_code,
+                })
+            }
+        }
+    }
+
+    async fn get_version(&self, tag: &str) -> Result<u64> {
+        let request = self
+            .inner
+            .client
+            .post(&format!("/v1/table/{}/tags/version/", self.inner.name))
+            .json(&serde_json::json!({ "tag": tag }));
+
+        let (request_id, response) = self.inner.send(request, true).await?;
+        let response = self
+            .inner
+            .check_table_response(&request_id, response)
+            .await?;
+
+        match response.text().await {
+            Ok(body) => {
+                let value: serde_json::Value =
+                    serde_json::from_str(&body).map_err(|e| Error::Http {
+                        source: format!("Failed to parse tag version: {}", e).into(),
+                        request_id: request_id.clone(),
+                        status_code: None,
+                    })?;
+
+                value
+                    .get("version")
+                    .and_then(|v| v.as_u64())
+                    .ok_or_else(|| Error::Http {
+                        source: format!("Invalid tag version response: {}", body).into(),
+                        request_id,
+                        status_code: None,
+                    })
+            }
+            Err(err) => {
+                let status_code = err.status();
+                Err(Error::Http {
+                    source: Box::new(err),
+                    request_id,
+                    status_code,
+                })
+            }
+        }
+    }
+
+    async fn create(&mut self, tag: &str, version: u64) -> Result<()> {
+        let request = self
+            .inner
+            .client
+            .post(&format!("/v1/table/{}/tags/create/", self.inner.name))
+            .json(&serde_json::json!({
+                "tag": tag,
+                "version": version
+            }));
+
+        let (request_id, response) = self.inner.send(request, true).await?;
+        self.inner
+            .check_table_response(&request_id, response)
+            .await?;
+        Ok(())
+    }
+
+    async fn delete(&mut self, tag: &str) -> Result<()> {
+        let request = self
+            .inner
+            .client
+            .post(&format!("/v1/table/{}/tags/delete/", self.inner.name))
+            .json(&serde_json::json!({ "tag": tag }));
+
+        let (request_id, response) = self.inner.send(request, true).await?;
+        self.inner
+            .check_table_response(&request_id, response)
+            .await?;
+        Ok(())
+    }
+
+    async fn update(&mut self, tag: &str, version: u64) -> Result<()> {
+        let request = self
+            .inner
+            .client
+            .post(&format!("/v1/table/{}/tags/update/", self.inner.name))
+            .json(&serde_json::json!({
+                "tag": tag,
+                "version": version
+            }));
+
+        let (request_id, response) = self.inner.send(request, true).await?;
+        self.inner
+            .check_table_response(&request_id, response)
+            .await?;
+        Ok(())
+    }
+}
+
 #[derive(Debug)]
 pub struct RemoteTable<S: HttpSend = Sender> {
     #[allow(dead_code)]
@@ -888,7 +1023,7 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
         &self,
         params: MergeInsertBuilder,
         new_data: Box<dyn RecordBatchReader + Send>,
-    ) -> Result<()> {
+    ) -> Result<MergeStats> {
         self.check_mutable().await?;
 
         let query = MergeInsertRequest::try_from(params)?;
@@ -900,11 +1035,23 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
 
         let (request_id, response) = self.send_streaming(request, new_data, true).await?;
 
+        // TODO: server can response with these stats in response body.
+        // We should test that we can handle both empty response from old server
+        // and response with stats from new server.
         self.check_table_response(&request_id, response).await?;
-
+        Ok(MergeStats::default())
-        Ok(())
     }
 
+    async fn tags(&self) -> Result<Box<dyn Tags + '_>> {
+        Ok(Box::new(RemoteTags { inner: self }))
+    }
+    async fn checkout_tag(&self, tag: &str) -> Result<()> {
+        let tags = self.tags().await?;
+        let version = tags.get_version(tag).await?;
+        let mut write_guard = self.version.write().await;
+        *write_guard = Some(version);
+        Ok(())
+    }
     async fn optimize(&self, _action: OptimizeAction) -> Result<OptimizeStats> {
         self.check_mutable().await?;
         Err(Error::NotSupported {
@@ -1098,6 +1245,20 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
     fn dataset_uri(&self) -> &str {
         "NOT_SUPPORTED"
     }
+
+    async fn stats(&self) -> Result<TableStatistics> {
+        let request = self.client.post(&format!("/v1/table/{}/stats/", self.name));
+        let (request_id, response) = self.send(request, true).await?;
+        let response = self.check_table_response(&request_id, response).await?;
+        let body = response.text().await.err_to_http(request_id.clone())?;
+
+        let stats = serde_json::from_str(&body).map_err(|e| Error::Http {
+            source: format!("Failed to parse table statistics: {}", e).into(),
+            request_id,
+            status_code: None,
+        })?;
+        Ok(stats)
+    }
 }
 
 #[derive(Serialize)]
@@ -1190,7 +1351,12 @@ mod tests {
             Box::pin(table.count_rows(None).map_ok(|_| ())),
             Box::pin(table.update().column("a", "a + 1").execute().map_ok(|_| ())),
             Box::pin(table.add(example_data()).execute().map_ok(|_| ())),
-            Box::pin(table.merge_insert(&["test"]).execute(example_data())),
+            Box::pin(
+                table
+                    .merge_insert(&["test"])
+                    .execute(example_data())
+                    .map_ok(|_| ()),
+            ),
             Box::pin(table.delete("false")),
             Box::pin(table.add_columns(
                 NewColumnTransform::SqlExpressions(vec![("x".into(), "y".into())]),

rust/lancedb/src/table.rs

@@ -20,6 +20,7 @@ use lance::dataset::cleanup::RemovalStats;
 use lance::dataset::optimize::{compact_files, CompactionMetrics, IndexRemapperOptions};
 use lance::dataset::scanner::Scanner;
 pub use lance::dataset::ColumnAlteration;
+pub use lance::dataset::MergeStats;
 pub use lance::dataset::NewColumnTransform;
 pub use lance::dataset::ReadParams;
 pub use lance::dataset::Version;
@@ -80,9 +81,13 @@ pub mod merge;
 
 use crate::index::waiter::wait_for_index;
 pub use chrono::Duration;
+use futures::future::join_all;
 pub use lance::dataset::optimize::CompactionOptions;
+pub use lance::dataset::refs::{TagContents, Tags as LanceTags};
 pub use lance::dataset::scanner::DatasetRecordBatchStream;
+use lance::dataset::statistics::DatasetStatisticsExt;
 pub use lance_index::optimize::OptimizeOptions;
+use serde_with::skip_serializing_none;
 
 /// Defines the type of column
 #[derive(Debug, Clone, Serialize, Deserialize)]
@@ -401,6 +406,24 @@ pub enum AnyQuery {
     VectorQuery(VectorQueryRequest),
 }
 
+#[async_trait]
+pub trait Tags: Send + Sync {
+    /// List the tags of the table.
+    async fn list(&self) -> Result<HashMap<String, TagContents>>;
+
+    /// Get the version of the table referenced by a tag.
+    async fn get_version(&self, tag: &str) -> Result<u64>;
+
+    /// Create a new tag for the given version of the table.
+    async fn create(&mut self, tag: &str, version: u64) -> Result<()>;
+
+    /// Delete a tag from the table.
+    async fn delete(&mut self, tag: &str) -> Result<()>;
+
+    /// Update an existing tag to point to a new version of the table.
+    async fn update(&mut self, tag: &str, version: u64) -> Result<()>;
+}
+
 /// A trait for anything "table-like".  This is used for both native tables (which target
 /// Lance datasets) and remote tables (which target LanceDB cloud)
 ///
@@ -465,7 +488,9 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync {
         &self,
         params: MergeInsertBuilder,
         new_data: Box<dyn RecordBatchReader + Send>,
-    ) -> Result<()>;
+    ) -> Result<MergeStats>;
+    /// Gets the table tag manager.
+    async fn tags(&self) -> Result<Box<dyn Tags + '_>>;
     /// Optimize the dataset.
     async fn optimize(&self, action: OptimizeAction) -> Result<OptimizeStats>;
     /// Add columns to the table.
@@ -482,6 +507,9 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync {
     async fn version(&self) -> Result<u64>;
     /// Checkout a specific version of the table.
     async fn checkout(&self, version: u64) -> Result<()>;
+    /// Checkout a table version referenced by a tag.
+    /// Tags provide a human-readable way to reference specific versions of the table.
+    async fn checkout_tag(&self, tag: &str) -> Result<()>;
     /// Checkout the latest version of the table.
     async fn checkout_latest(&self) -> Result<()>;
     /// Restore the table to the currently checked out version.
@@ -499,6 +527,8 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync {
         index_names: &[&str],
         timeout: std::time::Duration,
     ) -> Result<()>;
+    /// Get statistics on the table
+    async fn stats(&self) -> Result<TableStatistics>;
 }
 
 /// A Table is a collection of strong typed Rows.
@@ -1058,6 +1088,24 @@ impl Table {
         self.inner.checkout(version).await
     }
 
+    /// Checks out a specific version of the Table by tag
+    ///
+    /// Any read operation on the table will now access the data at the version referenced by the tag.
+    /// As a consequence, calling this method will disable any read consistency interval
+    /// that was previously set.
+    ///
+    /// This is a read-only operation that turns the table into a sort of "view"
+    /// or "detached head".  Other table instances will not be affected.  To make the change
+    /// permanent you can use the `[Self::restore]` method.
+    ///
+    /// Any operation that modifies the table will fail while the table is in a checked
+    /// out state.
+    ///
+    /// To return the table to a normal state use `[Self::checkout_latest]`
+    pub async fn checkout_tag(&self, tag: &str) -> Result<()> {
+        self.inner.checkout_tag(tag).await
+    }
+
     /// Ensures the table is pointing at the latest version
     ///
     /// This can be used to manually update a table when the read_consistency_interval is None
@@ -1144,6 +1192,11 @@ impl Table {
         self.inner.wait_for_index(index_names, timeout).await
     }
 
+    /// Get the tags manager.
+    pub async fn tags(&self) -> Result<Box<dyn Tags + '_>> {
+        self.inner.tags().await
+    }
+
     // Take many execution plans and map them into a single plan that adds
     // a query_index column and unions them.
     pub(crate) fn multi_vector_plan(
@@ -1194,6 +1247,40 @@ impl Table {
         .unwrap();
         Ok(Arc::new(repartitioned))
     }
+
+    /// Retrieve statistics on the table
+    pub async fn stats(&self) -> Result<TableStatistics> {
+        self.inner.stats().await
+    }
+}
+
+pub struct NativeTags {
+    inner: LanceTags,
+}
+#[async_trait]
+impl Tags for NativeTags {
+    async fn list(&self) -> Result<HashMap<String, TagContents>> {
+        Ok(self.inner.list().await?)
+    }
+
+    async fn get_version(&self, tag: &str) -> Result<u64> {
+        Ok(self.inner.get_version(tag).await?)
+    }
+
+    async fn create(&mut self, tag: &str, version: u64) -> Result<()> {
+        self.inner.create(tag, version).await?;
+        Ok(())
+    }
+
+    async fn delete(&mut self, tag: &str) -> Result<()> {
+        self.inner.delete(tag).await?;
+        Ok(())
+    }
+
+    async fn update(&mut self, tag: &str, version: u64) -> Result<()> {
+        self.inner.update(tag, version).await?;
+        Ok(())
+    }
 }
 
 impl From<NativeTable> for Table {
@@ -1940,6 +2027,10 @@ impl BaseTable for NativeTable {
         self.dataset.as_time_travel(version).await
     }
 
+    async fn checkout_tag(&self, tag: &str) -> Result<()> {
+        self.dataset.as_time_travel(tag).await
+    }
+
     async fn checkout_latest(&self) -> Result<()> {
         self.dataset
             .as_latest(self.read_consistency_interval)
@@ -2277,7 +2368,7 @@ impl BaseTable for NativeTable {
         &self,
         params: MergeInsertBuilder,
         new_data: Box<dyn RecordBatchReader + Send>,
-    ) -> Result<()> {
+    ) -> Result<MergeStats> {
         let dataset = Arc::new(self.dataset.get().await?.clone());
         let mut builder = LanceMergeInsertBuilder::try_new(dataset.clone(), params.on)?;
         match (
@@ -2304,9 +2395,9 @@ impl BaseTable for NativeTable {
             builder.when_not_matched_by_source(WhenNotMatchedBySource::Keep);
         }
         let job = builder.try_build()?;
-        let (new_dataset, _stats) = job.execute_reader(new_data).await?;
+        let (new_dataset, stats) = job.execute_reader(new_data).await?;
         self.dataset.set_latest(new_dataset.as_ref().clone()).await;
-        Ok(())
+        Ok(stats)
     }
 
     /// Delete rows from the table
@@ -2315,6 +2406,14 @@ impl BaseTable for NativeTable {
         Ok(())
     }
 
+    async fn tags(&self) -> Result<Box<dyn Tags + '_>> {
+        let dataset = self.dataset.get().await?;
+
+        Ok(Box::new(NativeTags {
+            inner: dataset.tags.clone(),
+        }))
+    }
+
     async fn optimize(&self, action: OptimizeAction) -> Result<OptimizeStats> {
         let mut stats = OptimizeStats {
             compaction: None,
@@ -2480,6 +2579,108 @@ impl BaseTable for NativeTable {
     ) -> Result<()> {
         wait_for_index(self, index_names, timeout).await
     }
+
+    async fn stats(&self) -> Result<TableStatistics> {
+        let num_rows = self.count_rows(None).await?;
+        let num_indices = self.list_indices().await?.len();
+        let ds = self.dataset.get().await?;
+        let ds_clone = (*ds).clone();
+        let ds_stats = Arc::new(ds_clone).calculate_data_stats().await?;
+        let total_bytes = ds_stats.fields.iter().map(|f| f.bytes_on_disk).sum::<u64>() as usize;
+
+        let frags = ds.get_fragments();
+        let mut sorted_sizes = join_all(
+            frags
+                .iter()
+                .map(|frag| async move { frag.physical_rows().await.unwrap_or(0) }),
+        )
+        .await;
+        sorted_sizes.sort();
+
+        let small_frag_threshold = 100000;
+        let num_fragments = sorted_sizes.len();
+        let num_small_fragments = sorted_sizes
+            .iter()
+            .filter(|&&size| size < small_frag_threshold)
+            .count();
+
+        let p25 = *sorted_sizes.get(num_fragments / 4).unwrap_or(&0);
+        let p50 = *sorted_sizes.get(num_fragments / 2).unwrap_or(&0);
+        let p75 = *sorted_sizes.get(num_fragments * 3 / 4).unwrap_or(&0);
+        let p99 = *sorted_sizes.get(num_fragments * 99 / 100).unwrap_or(&0);
+        let min = sorted_sizes.first().copied().unwrap_or(0);
+        let max = sorted_sizes.last().copied().unwrap_or(0);
+        let mean = if num_fragments == 0 {
+            0
+        } else {
+            sorted_sizes.iter().copied().sum::<usize>() / num_fragments
+        };
+
+        let frag_stats = FragmentStatistics {
+            num_fragments,
+            num_small_fragments,
+            lengths: FragmentSummaryStats {
+                min,
+                max,
+                mean,
+                p25,
+                p50,
+                p75,
+                p99,
+            },
+        };
+        let stats = TableStatistics {
+            total_bytes,
+            num_rows,
+            num_indices,
+            fragment_stats: frag_stats,
+        };
+        Ok(stats)
+    }
+}
+
+#[skip_serializing_none]
+#[derive(Debug, Deserialize, PartialEq)]
+pub struct TableStatistics {
+    /// The total number of bytes in the table
+    pub total_bytes: usize,
+
+    /// The number of rows in the table
+    pub num_rows: usize,
+
+    /// The number of indices in the table
+    pub num_indices: usize,
+
+    /// Statistics on table fragments
+    pub fragment_stats: FragmentStatistics,
+}
+
+#[skip_serializing_none]
+#[derive(Debug, Deserialize, PartialEq)]
+pub struct FragmentStatistics {
+    /// The number of fragments in the table
+    pub num_fragments: usize,
+
+    /// The number of uncompacted fragments in the table
+    pub num_small_fragments: usize,
+
+    /// Statistics on the number of rows in the table fragments
+    pub lengths: FragmentSummaryStats,
+    // todo: add size statistics
+    // /// Statistics on the number of bytes in the table fragments
+    // sizes: FragmentStats,
+}
+
+#[skip_serializing_none]
+#[derive(Debug, Deserialize, PartialEq)]
+pub struct FragmentSummaryStats {
+    pub min: usize,
+    pub max: usize,
+    pub mean: usize,
+    pub p25: usize,
+    pub p50: usize,
+    pub p75: usize,
+    pub p99: usize,
 }
 
 #[cfg(test)]
@@ -3081,6 +3282,60 @@ mod tests {
         )
     }
 
+    #[tokio::test]
+    async fn test_tags() {
+        let tmp_dir = tempdir().unwrap();
+        let uri = tmp_dir.path().to_str().unwrap();
+
+        let conn = ConnectBuilder::new(uri)
+            .read_consistency_interval(Duration::from_secs(0))
+            .execute()
+            .await
+            .unwrap();
+        let table = conn
+            .create_table("my_table", some_sample_data())
+            .execute()
+            .await
+            .unwrap();
+        assert_eq!(table.version().await.unwrap(), 1);
+        table.add(some_sample_data()).execute().await.unwrap();
+        assert_eq!(table.version().await.unwrap(), 2);
+        let mut tags_manager = table.tags().await.unwrap();
+        let tags = tags_manager.list().await.unwrap();
+        assert!(tags.is_empty(), "Tags should be empty initially");
+        let tag1 = "tag1";
+        tags_manager.create(tag1, 1).await.unwrap();
+        assert_eq!(tags_manager.get_version(tag1).await.unwrap(), 1);
+        let tags = tags_manager.list().await.unwrap();
+        assert_eq!(tags.len(), 1);
+        assert!(tags.contains_key(tag1));
+        assert_eq!(tags.get(tag1).unwrap().version, 1);
+        tags_manager.create("tag2", 2).await.unwrap();
+        assert_eq!(tags_manager.get_version("tag2").await.unwrap(), 2);
+        let tags = tags_manager.list().await.unwrap();
+        assert_eq!(tags.len(), 2);
+        assert!(tags.contains_key(tag1));
+        assert_eq!(tags.get(tag1).unwrap().version, 1);
+        assert!(tags.contains_key("tag2"));
+        assert_eq!(tags.get("tag2").unwrap().version, 2);
+        // Test update and delete
+        table.add(some_sample_data()).execute().await.unwrap();
+        tags_manager.update(tag1, 3).await.unwrap();
+        assert_eq!(tags_manager.get_version(tag1).await.unwrap(), 3);
+        tags_manager.delete("tag2").await.unwrap();
+        let tags = tags_manager.list().await.unwrap();
+        assert_eq!(tags.len(), 1);
+        assert!(tags.contains_key(tag1));
+        assert_eq!(tags.get(tag1).unwrap().version, 3);
+        // Test checkout tag
+        table.add(some_sample_data()).execute().await.unwrap();
+        assert_eq!(table.version().await.unwrap(), 4);
+        table.checkout_tag(tag1).await.unwrap();
+        assert_eq!(table.version().await.unwrap(), 3);
+        table.checkout_latest().await.unwrap();
+        assert_eq!(table.version().await.unwrap(), 4);
+    }
+
     #[tokio::test]
     async fn test_create_index() {
         use arrow_array::RecordBatch;
@@ -3803,4 +4058,108 @@ mod tests {
             Some(&"test_field_val1".to_string())
         );
     }
+
+    #[tokio::test]
+    pub async fn test_stats() {
+        let tmp_dir = tempdir().unwrap();
+        let uri = tmp_dir.path().to_str().unwrap();
+
+        let conn = ConnectBuilder::new(uri).execute().await.unwrap();
+
+        let schema = Arc::new(Schema::new(vec![
+            Field::new("id", DataType::Int32, false),
+            Field::new("foo", DataType::Int32, true),
+        ]));
+        let batch = RecordBatch::try_new(
+            schema.clone(),
+            vec![
+                Arc::new(Int32Array::from_iter_values(0..100)),
+                Arc::new(Int32Array::from_iter_values(0..100)),
+            ],
+        )
+        .unwrap();
+
+        let table = conn
+            .create_table(
+                "test_stats",
+                RecordBatchIterator::new(vec![Ok(batch.clone())], batch.schema()),
+            )
+            .execute()
+            .await
+            .unwrap();
+        for _ in 0..10 {
+            let batch = RecordBatch::try_new(
+                schema.clone(),
+                vec![
+                    Arc::new(Int32Array::from_iter_values(0..15)),
+                    Arc::new(Int32Array::from_iter_values(0..15)),
+                ],
+            )
+            .unwrap();
+            table
+                .add(RecordBatchIterator::new(
+                    vec![Ok(batch.clone())],
+                    batch.schema(),
+                ))
+                .execute()
+                .await
+                .unwrap();
+        }
+
+        let empty_table = conn
+            .create_table(
+                "test_stats_empty",
+                RecordBatchIterator::new(vec![], batch.schema()),
+            )
+            .execute()
+            .await
+            .unwrap();
+
+        let res = table.stats().await.unwrap();
+        println!("{:#?}", res);
+        assert_eq!(
+            res,
+            TableStatistics {
+                num_rows: 250,
+                num_indices: 0,
+                total_bytes: 2000,
+                fragment_stats: FragmentStatistics {
+                    num_fragments: 11,
+                    num_small_fragments: 11,
+                    lengths: FragmentSummaryStats {
+                        min: 15,
+                        max: 100,
+                        mean: 22,
+                        p25: 15,
+                        p50: 15,
+                        p75: 15,
+                        p99: 100,
+                    },
+                },
+            }
+        );
+        let res = empty_table.stats().await.unwrap();
+        println!("{:#?}", res);
+        assert_eq!(
+            res,
+            TableStatistics {
+                num_rows: 0,
+                num_indices: 0,
+                total_bytes: 0,
+                fragment_stats: FragmentStatistics {
+                    num_fragments: 0,
+                    num_small_fragments: 0,
+                    lengths: FragmentSummaryStats {
+                        min: 0,
+                        max: 0,
+                        mean: 0,
+                        p25: 0,
+                        p50: 0,
+                        p75: 0,
+                        p99: 0,
+                    },
+                },
+            }
+        )
+    }
 }

rust/lancedb/src/table/dataset.rs

@@ -7,7 +7,7 @@ use std::{
     time::{self, Duration, Instant},
 };
 
-use lance::Dataset;
+use lance::{dataset::refs, Dataset};
 use tokio::sync::{RwLock, RwLockReadGuard, RwLockWriteGuard};
 
 use crate::error::Result;
@@ -83,19 +83,32 @@ impl DatasetRef {
         }
     }
 
-    async fn as_time_travel(&mut self, target_version: u64) -> Result<()> {
+    async fn as_time_travel(&mut self, target_version: impl Into<refs::Ref>) -> Result<()> {
+        let target_ref = target_version.into();
+
         match self {
             Self::Latest { dataset, .. } => {
+                let new_dataset = dataset.checkout_version(target_ref.clone()).await?;
+                let version_value = new_dataset.version().version;
+
                 *self = Self::TimeTravel {
-                    dataset: dataset.checkout_version(target_version).await?,
+                    dataset: new_dataset,
-                    version: target_version,
+                    version: version_value,
                 };
             }
             Self::TimeTravel { dataset, version } => {
-                if *version != target_version {
+                let should_checkout = match &target_ref {
+                    refs::Ref::Version(target_ver) => version != target_ver,
+                    refs::Ref::Tag(_) => true, // Always checkout for tags
+                };
+
+                if should_checkout {
+                    let new_dataset = dataset.checkout_version(target_ref).await?;
+                    let version_value = new_dataset.version().version;
+
                     *self = Self::TimeTravel {
-                        dataset: dataset.checkout_version(target_version).await?,
+                        dataset: new_dataset,
-                        version: target_version,
+                        version: version_value,
                     };
                 }
             }
@@ -175,7 +188,7 @@ impl DatasetConsistencyWrapper {
         write_guard.as_latest(read_consistency_interval).await
     }
 
-    pub async fn as_time_travel(&self, target_version: u64) -> Result<()> {
+    pub async fn as_time_travel(&self, target_version: impl Into<refs::Ref>) -> Result<()> {
         self.0.write().await.as_time_travel(target_version).await
     }
 

rust/lancedb/src/table/merge.rs

@@ -4,6 +4,7 @@
 use std::sync::Arc;
 
 use arrow_array::RecordBatchReader;
+use lance::dataset::MergeStats;
 
 use crate::Result;
 
@@ -86,8 +87,9 @@ impl MergeInsertBuilder {
 
     /// Executes the merge insert operation
     ///
-    /// Nothing is returned but the [`super::Table`] is updated
+    /// Returns statistics about the merge operation including the number of rows
-    pub async fn execute(self, new_data: Box<dyn RecordBatchReader + Send>) -> Result<()> {
+    /// inserted, updated, and deleted.
+    pub async fn execute(self, new_data: Box<dyn RecordBatchReader + Send>) -> Result<MergeStats> {
         self.table.clone().merge_insert(self, new_data).await
     }
 }