How to use nest typeorm to implement indexing

For the index types you mentioned, here is a code example that implements different types of indexes in SQL Server using the TypeORM library:

Normal index：

import { Entity, Column, Index } from 'typeorm';
@Entity()
@Index('idx_name', ['name'])
export class User {
    @Column()
    name: string;
    @Column()
    age: number;
}

Unique index：

import { Entity, Column, Index } from 'typeorm';
@Entity()
@Index('idx_email', ['email'], { unique: true })
export class User {
    @Column()
    email: string;
    @Column()
    age: number;
}

Composite index：

import { Entity, Column, Index } from 'typeorm';
@Entity()
@Index('idx_name_age', ['name', 'age'])
export class User {
    @Column()
    name: string;
    @Column()
    age: number;
}

Spatial index：

For the implementation of Spatial Indexes, the TypeORM library does not directly support creating spatial indexes in SQL Server. However, you can do this by using native SQL statements. Here is a code example using TypeORM and SQL Server in it, demonstrating how to create a spatial index:

import { Injectable } from '@nestjs/common';
import { InjectRepository } from '@nestjs/typeorm';
import { Repository } from 'typeorm';
import { Location } from './';
@Injectable()
export class LocationService {
  constructor(
    @InjectRepository(Location)
    private readonly locationRepository: Repository<Location>,
  ) {}
  async createSpatialIndex(): Promise<void> {
    // Create a native SQL statement for spatial indexing in SQL Server    const query = `
      CREATE SPATIAL INDEX IX_Location_Geometry 
      ON Location(Geometry) 
      WITH (BOUNDING_BOX = (xmin, ymin, xmax, ymax));
    `;
    await (query);
  }
}

In this example, suppose there is a name calledLocationThe entity representing the location table in the database and contains a nameGeometryfields to store spatial data.createSpatialIndexMethod using TypeORMqueryThe method executes native SQL statements to create spatial indexes.

Please note that the SQL statement herexmin、ymin、xmax、ymaxIt should be replaced with the actual bounding box coordinates to suit your spatial data range.

** Full text index**:
For the implementation of full-text indexing, the TypeORM library currently does not directly support creating full-text indexing in SQL Server. However, you can do this through native SQL statements. Here is a code example using TypeORM and SQL Server in it, demonstrating how to create a full-text index:

import { Injectable } from '@nestjs/common';
import { InjectRepository } from '@nestjs/typeorm';
import { Repository } from 'typeorm';
import { User } from './';
@Injectable()
export class UserService {
  constructor(
    @InjectRepository(User)
    private readonly userRepository: Repository<User>,
  ) {}
  async createFullTextIndex(): Promise<void> {
    // Create a native SQL statement for full-text index in SQL Server    const query = `
      CREATE FULLTEXT INDEX ON User(name) KEY INDEX PK_User;
    `;
    await (query);
  }
}

In this example, suppose there is a name calledUserThe entity representing the user table in the database, containing the namenamefield.createFullTextIndexMethod using TypeORMqueryThe method executes native SQL statements to create a full-text index.

Note that it is assumed here that a name named "is already created in SQL Server"PK_Userprimary key index. The actual situation may vary depending on the database structure and requirements, and you need to adjust the code according to the actual situation.

These examples demonstrate how to use the TypeORM library to create different types of indexes in SQL Server. Use the @Index decorator to define the index under the @Entity() decorator.

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