Create a text index (TypeScript)

Lexicographical matching is currently in public preview. Development is ongoing, and the features and functionality are subject to change. Astra DB Serverless, and the use of such, is subject to the DataStax Preview Terms.

Creates a new text index for a text or ascii column in a table.

You must create a text index if you want to perform lexicographical matching on the column.

To index a text column for sorting and filtering other than lexicographical matching, see Create an index (TypeScript) instead.

To manage indexes, your application token must have the same level of permissions that you need to manage tables.

Ready to write code? See the examples for this method to get started. If you are new to the Data API, check out the quickstart.

Result

Creates a text index for the specified column.

Returns a promise that resolves once the operation completes.

Parameters

Use the createTextIndex method, which belongs to the Table class.

Method signature
async createTextIndex(
  name: string,
  column: keyof Schema | Partial<Record<keyof Schema, string>>,
  options?: {
    options?: {
      analyzer?: string | Record<string, unknown>,
    },
    ifNotExists?: boolean,
    timeout?: number | TimeoutDescriptor,
  },
): void
Name Type Summary

name

string

The name of the index.

Index names for tables must follow these rules:

  • Must be unique within the keyspace

  • Can contain letters, numbers, and underscores

  • Must have a length of 1 to 100 characters

column

string

The name of the table column on which to create the text index.

The column must be a text or ascii column.

options

TableCreateTextIndexOptions

Optional. The options for this operation. See Properties of options for more details.

Properties of options
Name Type Summary

options.analyzer

string or object

Optional. A string describing a built-in analyzer, or a JSON object describing an analyzer configuration.

Strings must be one of the supported built-in analyzers.

JSON objects must follow the specifications in Find data with CQL analyzers.

See the examples for usage.

Default: "standard", which corresponds to the standard Apache Lucene™ analyzer.

ifNotExists

boolean

Optional. Whether the command should silently succeed even if an index with the given name already exists in the keyspace and no new index was created.

This option only checks index names. It does not check index definitions.

Default: false

timeout

number | TimeoutDescriptor

A timeout, in milliseconds, to impose on the underlying API request.

Examples

The following examples demonstrate how to create a text index.

Create a text index and use the default analyzer

If you don’t specify an analyzer, the index will use the standard Apache Lucene™ analyzer.

import { DataAPIClient } from "@datastax/astra-db-ts";

// Get an existing table
const client = new DataAPIClient();
const database = client.db("API_ENDPOINT", {
  token: "APPLICATION_TOKEN",
});
const table = database.table("TABLE_NAME");

// Index a column
(async function () {
  await table.createTextIndex("INDEX_NAME", "TEXT_COLUMN_NAME");
})();

Create a text index and specify the analyzer as a string

You can use a string to specify the analyzer. Strings must be one of the supported built-in analyzers.

Alternatively, you can describe the analyzer configuration as a JSON object as demonstrated in Create a text index and specify the analyzer as an object.

import { DataAPIClient } from "@datastax/astra-db-ts";

// Get an existing table
const client = new DataAPIClient();
const database = client.db("API_ENDPOINT", {
  token: "APPLICATION_TOKEN",
});
const table = database.table("TABLE_NAME");

// Index a column
(async function () {
  await table.createTextIndex("INDEX_NAME", "TEXT_COLUMN_NAME", {
    options: {
      analyzer: "english",
    },
  });
})();

Create a text index and specify the analyzer as an object

You can describe the analyzer configuration as a JSON object. JSON objects must follow the specifications in Find data with CQL analyzers.

The following example uses a configuration suitable for English text. Alternatively, you can use the string shorthand demonstrated in Create a text index and specify the analyzer as a string.

import { DataAPIClient } from "@datastax/astra-db-ts";

// Get an existing table
const client = new DataAPIClient();
const database = client.db("API_ENDPOINT", {
  token: "APPLICATION_TOKEN",
});
const table = database.table("TABLE_NAME");

// Index a column
(async function () {
  await table.createTextIndex("INDEX_NAME", "TEXT_COLUMN_NAME", {
    options: {
      analyzer: {
        tokenizer: {
          name: "standard",
          args: {},
        },
        filters: [
          {
            name: "lowercase",
          },
          {
            name: "stop",
          },
          {
            name: "porterstem",
          },
          {
            name: "asciifolding",
          },
        ],
        charFilters: [],
      },
    },
  });
})();

Create a text index only if the index does not exist

Use this option to silently do nothing if a text index with the specified name already exists.

This option only checks index names. It does not check index definitions.

import { DataAPIClient } from "@datastax/astra-db-ts";

// Get an existing table
const client = new DataAPIClient();
const database = client.db("API_ENDPOINT", {
  token: "APPLICATION_TOKEN",
});
const table = database.table("TABLE_NAME");

// Index a column
(async function () {
  await table.createTextIndex("INDEX_NAME", "TEXT_COLUMN_NAME", {
    ifNotExists: true,
  });
})();

Client reference

For more information, see the client reference.

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