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vectordb / Exports / Table

Interface: Table\<T>

A LanceDB Table is the collection of Records. Each Record has one or more vector fields.

Type parameters

Name Type
T number[]

Implemented by

Table of contents

Properties

Methods

Properties

add

add: (data: Table\<any> | Record\<string, unknown>[]) => Promise\<number>

Type declaration

▸ (data): Promise\<number>

Insert records into this Table.

Parameters
Name Type Description
data Table\<any> | Record\<string, unknown>[] Records to be inserted into the Table
Returns

Promise\<number>

The number of rows added to the table

Defined in

index.ts:364


countRows

countRows: (filter?: string) => Promise\<number>

Type declaration

▸ (filter?): Promise\<number>

Returns the number of rows in this table.

Parameters
Name Type
filter? string
Returns

Promise\<number>

Defined in

index.ts:437


createIndex

createIndex: (indexParams: IvfPQIndexConfig) => Promise\<any>

Type declaration

▸ (indexParams): Promise\<any>

Create an ANN index on this Table vector index.

Parameters
Name Type Description
indexParams IvfPQIndexConfig The parameters of this Index,
Returns

Promise\<any>

See

VectorIndexParams.

Defined in

index.ts:381


createScalarIndex

createScalarIndex: (column: string, replace?: boolean) => Promise\<void>

Type declaration

▸ (column, replace?): Promise\<void>

Create a scalar index on this Table for the given column

Parameters
Name Type Description
column string The column to index
replace? boolean If false, fail if an index already exists on the column it is always set to true for remote connections Scalar indices, like vector indices, can be used to speed up scans. A scalar index can speed up scans that contain filter expressions on the indexed column. For example, the following scan will be faster if the column my_col has a scalar index: ts const con = await lancedb.connect('./.lancedb'); const table = await con.openTable('images'); const results = await table.where('my_col = 7').execute(); Scalar indices can also speed up scans containing a vector search and a prefilter: ts const con = await lancedb.connect('././lancedb'); const table = await con.openTable('images'); const results = await table.search([1.0, 2.0]).where('my_col != 7').prefilter(true); Scalar indices can only speed up scans for basic filters using equality, comparison, range (e.g. my_col BETWEEN 0 AND 100), and set membership (e.g. my_col IN (0, 1, 2)) Scalar indices can be used if the filter contains multiple indexed columns and the filter criteria are AND'd or OR'd together (e.g. my_col < 0 AND other_col> 100) Scalar indices may be used if the filter contains non-indexed columns but, depending on the structure of the filter, they may not be usable. For example, if the column not_indexed does not have a scalar index then the filter my_col = 0 OR not_indexed = 1 will not be able to use any scalar index on my_col.
Returns

Promise\<void>

Examples

const con = await lancedb.connect('././lancedb')
const table = await con.openTable('images')
await table.createScalarIndex('my_col')

Defined in

index.ts:432


delete

delete: (filter: string) => Promise\<void>

Type declaration

▸ (filter): Promise\<void>

Delete rows from this table.

This can be used to delete a single row, many rows, all rows, or sometimes no rows (if your predicate matches nothing).

Parameters
Name Type Description
filter string A filter in the same format used by a sql WHERE clause. The filter must not be empty.
Returns

Promise\<void>

Examples

const con = await lancedb.connect("./.lancedb")
const data = [
   {id: 1, vector: [1, 2]},
   {id: 2, vector: [3, 4]},
   {id: 3, vector: [5, 6]},
];
const tbl = await con.createTable("my_table", data)
await tbl.delete("id = 2")
await tbl.countRows() // Returns 2

If you have a list of values to delete, you can combine them into a stringified list and use the IN operator:

const to_remove = [1, 5];
await tbl.delete(`id IN (${to_remove.join(",")})`)
await tbl.countRows() // Returns 1

Defined in

index.ts:471


indexStats

indexStats: (indexUuid: string) => Promise\<IndexStats>

Type declaration

▸ (indexUuid): Promise\<IndexStats>

Get statistics about an index.

Parameters
Name Type
indexUuid string
Returns

Promise\<IndexStats>

Defined in

index.ts:546


listIndices

listIndices: () => Promise\<VectorIndex[]>

Type declaration

▸ (): Promise\<VectorIndex[]>

List the indicies on this table.

Returns

Promise\<VectorIndex[]>

Defined in

index.ts:541


mergeInsert

mergeInsert: (on: string, data: Table\<any> | Record\<string, unknown>[], args: MergeInsertArgs) => Promise\<void>

Type declaration

▸ (on, data, args): Promise\<void>

Runs a "merge insert" operation on the table

This operation can add rows, update rows, and remove rows all in a single transaction. It is a very generic tool that can be used to create behaviors like "insert if not exists", "update or insert (i.e. upsert)", or even replace a portion of existing data with new data (e.g. replace all data where month="january")

The merge insert operation works by combining new data from a source table with existing data in a target table by using a join. There are three categories of records.

"Matched" records are records that exist in both the source table and the target table. "Not matched" records exist only in the source table (e.g. these are new data) "Not matched by source" records exist only in the target table (this is old data)

The MergeInsertArgs can be used to customize what should happen for each category of data.

Please note that the data may appear to be reordered as part of this operation. This is because updated rows will be deleted from the dataset and then reinserted at the end with the new values.

Parameters
Name Type Description
on string a column to join on. This is how records from the source table and target table are matched.
data Table\<any> | Record\<string, unknown>[] the new data to insert
args MergeInsertArgs parameters controlling how the operation should behave
Returns

Promise\<void>

Defined in

index.ts:536


name

name: string

Defined in

index.ts:350


overwrite

overwrite: (data: Table\<any> | Record\<string, unknown>[]) => Promise\<number>

Type declaration

▸ (data): Promise\<number>

Insert records into this Table, replacing its contents.

Parameters
Name Type Description
data Table\<any> | Record\<string, unknown>[] Records to be inserted into the Table
Returns

Promise\<number>

The number of rows added to the table

Defined in

index.ts:372


schema

schema: Promise\<Schema\<any>>

Defined in

index.ts:550


search: (query: T) => Query\<T>

Type declaration

▸ (query): Query\<T>

Creates a search query to find the nearest neighbors of the given search term

Parameters
Name Type Description
query T The query search term
Returns

Query\<T>

Defined in

index.ts:356


update

update: (args: UpdateArgs | UpdateSqlArgs) => Promise\<void>

Type declaration

▸ (args): Promise\<void>

Update rows in this table.

This can be used to update a single row, many rows, all rows, or sometimes no rows (if your predicate matches nothing).

Parameters
Name Type Description
args UpdateArgs | UpdateSqlArgs see UpdateArgs and UpdateSqlArgs for more details
Returns

Promise\<void>

Examples

const con = await lancedb.connect("./.lancedb")
const data = [
   {id: 1, vector: [3, 3], name: 'Ye'},
   {id: 2, vector: [4, 4], name: 'Mike'},
];
const tbl = await con.createTable("my_table", data)

await tbl.update({
  where: "id = 2",
  values: { vector: [2, 2], name: "Michael" },
})

let results = await tbl.search([1, 1]).execute();
// Returns [
//   {id: 2, vector: [2, 2], name: 'Michael'}
//   {id: 1, vector: [3, 3], name: 'Ye'}
// ]

Defined in

index.ts:504

Methods

addColumns

addColumns(newColumnTransforms): Promise\<void>

Add new columns with defined values.

Parameters

Name Type Description
newColumnTransforms { name: string ; valueSql: string }[] pairs of column names and the SQL expression to use to calculate the value of the new column. These expressions will be evaluated for each row in the table, and can reference existing columns in the table.

Returns

Promise\<void>

Defined in

index.ts:561


alterColumns

alterColumns(columnAlterations): Promise\<void>

Alter the name or nullability of columns.

Parameters

Name Type Description
columnAlterations ColumnAlteration[] One or more alterations to apply to columns.

Returns

Promise\<void>

Defined in

index.ts:568


dropColumns

dropColumns(columnNames): Promise\<void>

Drop one or more columns from the dataset

This is a metadata-only operation and does not remove the data from the underlying storage. In order to remove the data, you must subsequently call compact_files to rewrite the data without the removed columns and then call cleanup_files to remove the old files.

Parameters

Name Type Description
columnNames string[] The names of the columns to drop. These can be nested column references (e.g. "a.b.c") or top-level column names (e.g. "a").

Returns

Promise\<void>

Defined in

index.ts:582


filter

filter(value): Query\<T>

Parameters

Name Type
value string

Returns

Query\<T>

Defined in

index.ts:548


withMiddleware

withMiddleware(middleware): Table\<T>

Instrument the behavior of this Table with middleware.

The middleware will be called in the order they are added.

Currently this functionality is only supported for remote tables.

Parameters

Name Type
middleware HttpMiddleware

Returns

Table\<T>

  • this Table instrumented by the passed middleware

Defined in

index.ts:594