Create Index

Create database indexes to improve query performance on your Fynd Boltic Database. Indexes provide fast access paths to data, improving SELECT query performance, sorting, and filtering operations.

Method Signature

addIndex(
  tableName: string,
  request: AddIndexRequest
): Promise<BolticSuccessResponse<AddIndexResponse> | BolticErrorResponse>

Parameters

Parameter	Type	Required	Description
tableName	string	✅	Name of the table to create an index on
request	AddIndexRequest	✅	Index creation configuration with field names and index type

AddIndexRequest

interface AddIndexRequest {
    field_names: string[]; // Columns to include in the index
    method: "btree" | "hash" | "spgist" | "gin" | "brin"; // Index type
}

Property	Type	Required	Description
field_names	string[]	✅	Array of column names to include in the index
method	string	✅	Index type (btree, hash, gin, brin, or spgist)

tip

In composite indexes, column order matters. Filters and sorts are most effective when they follow the same left-to-right order as the index definition.

Index Methods

Choose the index method based on your query patterns:

• btree: Best for equality and range queries (=, <, >, BETWEEN)
• hash: Best for exact equality matches only (=)
• gin: Best for multi-valued data (e.g., dropdown multi-select) and full-text search
• brin: Best for large tables with naturally ordered data
• spgist: Best for specialized data types (geometric, network addresses)

Response

interface AddIndexResponse {
    data: object;
    message: str;
}

Examples

Basic Index Creation

import { createClient } from "@boltic/sdk";

const client = createClient("your-api-key");

// Create a B-tree index on email field
const { data: index, error } = await client.indexes.addIndex("users", {
    field_names: ["email"],
    method: "btree",
});

if (error) {
    console.error("Failed to create index:", error.message);
} else {
    console.log("Index created:", index.index_name);
}

Composite Indexes

// Multi-column index for complex queries
const compositeIndex = await client.indexes.addIndex("events", {
    field_names: ["user_id", "event_type", "created_at"],
    method: "btree",
});

Chained Access Method

// Using chained access pattern
const { data: index } = await client
    .from("users")
    .indexes()
    .addIndex({
        field_names: ["email"],
        method: "btree",
    });