API with NestJS #79. Implementing searching with pattern matching and raw SQL

October 17, 2022

This entry is part 79 of 180 in the API with NestJS

The possibility of searching through the contents of the database is a very common feature. There are great solutions built with that use case in mind, such as Elasticsearch. Even though that’s the case, PostgreSQL also has the functionality of matching a given string pattern. In this article, we explore what PostgreSQL offers and use this in our NestJS project.

The code from this article is in this repository.

Pattern matching with LIKE

The idea behind pattern matching is to check if a given string has specific characteristics. The most straightforward way of doing that in PostgreSQL is by using the LIKE operator.

1	SELECT 'Hi! This is my 1st post.' LIKE 'Hi! This is my 1st post.' -- true

Besides regular text, our pattern can contain the percent sign – %. It matches a sequence of zero or more characters.

SELECT 'Hi! This is my 1st post.' LIKE 'Hi!%'; -- true

SELECT 'I wrote this post.' LIKE '%post.'; -- true

SELECT 'Hi! This is my favourite post.' LIKE 'Hi! % post.'; -- true

SELECT 'This is the 1st time I am writing.' LIKE '%1st%'; -- true

When using the LIKE operator, we can also take advantage of the underscore sign – _. It matches a single character.

SELECT 'Hi! This is my 1st post.' LIKE 'Hi! This is my ___ post.'; -- true

SELECT 'Hi! This was a 2nd post.' LIKE 'Hi! This _____ ___ post.'; -- true

SELECT 'Hi! This is my 1st post.' LIKE 'Hi! This _____ ___ post.'; -- true

We can also use multiple percentages and underscore signs in a single pattern.

1 2	SELECT 'This is my 1st post.' LIKE 'This % my ___ %.'; -- true SELECT 'This was my 2nd article.' LIKE 'This % my ___ %.'; -- true

Using pattern matching in a real use-case

Pattern matching is especially useful when performing a SELECT on a table and using WHERE.

1 2	SELECT * FROM posts WHERE title LIKE '%post%';

Above, we use the % sign on both the left and right sides of the post string when looking through the title column. This means we are looking for rows that use the post string in any way in the title column. The above is a very common case.

Finding rows that don’t match a pattern

We can also use NOT LIKE to find rows that don’t match a particular pattern.

1 2	SELECT * FROM posts WHERE title NOT LIKE '%content%';

Above, we look for posts with a title that does not contain the word “content”.

Implementing searching in NestJS

Let’s use the approach with the LIKE operator and two % signs in practice. To do that, let’s expect the user to provide a query parameter.

searchPostsQuery.ts

import { IsString, IsNotEmpty, IsOptional } from 'class-validator';

class SearchPostsQuery {

@IsString()

@IsNotEmpty()

@IsOptional()

search?: string;

}

export default SearchPostsQuery;

Once we have the above class, we need to use it in our controller.

posts.controller.ts

import {

ClassSerializerInterceptor,

Controller,

Get,

Query,

UseInterceptors,

} from '@nestjs/common';

import { PostsService } from './posts.service';

import GetPostsByAuthorQuery from './getPostsByAuthorQuery';

import PaginationParams from '../utils/paginationParams';

import SearchPostsQuery from "./searchPostsQuery";

@Controller('posts')

@UseInterceptors(ClassSerializerInterceptor)

export default class PostsController {

constructor(private readonly postsService: PostsService) {}

@Get()

getPosts(

@Query() { authorId }: GetPostsByAuthorQuery,

@Query() { search }: SearchPostsQuery,

@Query() { offset, limit, idsToSkip }: PaginationParams,

) {

return this.postsService.getPosts(authorId, offset, limit, idsToSkip, search);

}

// ...

}

We can rely on PostsService to call the correct methods from our repositories.

posts.service.ts

import { Injectable } from '@nestjs/common';

import PostsRepository from './posts.repository';

import PostsStatisticsRepository from './postsStatistics.repository';

import PostsSearchRepository from './postsSearch.repository';

@Injectable()

export class PostsService {

constructor(

private readonly postsRepository: PostsRepository,

private readonly postsStatisticsRepository: PostsStatisticsRepository,

private readonly postsSearchRepository: PostsSearchRepository,

) {}

getPosts(

authorId?: number,

offset?: number,

limit?: number,

idsToSkip?: number,

searchQuery?: string,

) {

if (authorId && searchQuery) {

return this.postsSearchRepository.searchByAuthor(

authorId,

offset,

limit,

idsToSkip,

searchQuery,

);

}

if (authorId) {

return this.postsRepository.getByAuthorId(

authorId,

offset,

limit,

idsToSkip,

);

}

if (searchQuery) {

return this.postsSearchRepository.search(

offset,

limit,

idsToSkip,

searchQuery,

);

}

return this.postsRepository.get(offset, limit, idsToSkip);

}

// ...

}

We can delegate the logic of searching through the posts to a separate repository to avoid creating one big file that’s difficult to read.

postsSearch.repository.ts

import { Injectable } from '@nestjs/common';

import DatabaseService from '../database/database.service';

import PostModel from './post.model';

@Injectable()

class PostsSearchRepository {

constructor(private readonly databaseService: DatabaseService) {}

async search(

offset = 0,

limit: number | null = null,

idsToSkip = 0,

searchQuery: string,

) {

const databaseResponse = await this.databaseService.runQuery(

WITH selected_posts AS (

SELECT * FROM posts

WHERE id > $3 AND concat(post_content, title) LIKE concat('%', $4::text, '%')

ORDER BY id ASC

OFFSET $1

LIMIT $2

total_posts_count_response AS (

SELECT COUNT(*)::int AS total_posts_count FROM posts

WHERE concat(post_content, title) LIKE concat('%', $4::text, '%')

)

SELECT * FROM selected_posts, total_posts_count_response

[offset, limit, idsToSkip, searchQuery],

);

const items = databaseResponse.rows.map(

(databaseRow) => new PostModel(databaseRow),

);

const count = databaseResponse.rows[0]?.total_posts_count || 0;

return {

items,

count,

};

}

// ...

}

export default PostsSearchRepository;

Above, we implement pagination. If you want to know more, check out API with NestJS #77. Offset and keyset pagination with raw SQL queries

A few significant things are happening above. We use pattern matching with both title and post_content columns. We wrap the query provided by the user with the % signs on both ends. To do that, we use the concat function.

It is important to acknowledge that our query might work in an unexpected way if the users puts % or _ characters in their search input. To prevent this, we could sanitize the provided string by prepending all special characters with the \ sign.

We also indicate that we want the $4 argument to be treated as a string because the concat() function works with different data types. Without it, PostgreSQL would throw an error.

The ILIKE operator

The ILIKE operator works in a similar way to LIKE. However, an essential thing about ILIKE is that it is case-insensitive.

1	SELECT 'Hi! This is my favourite post.' ILIKE 'hI! % pOsT.'; -- true

Since we let the user search for any occurrence of a given string, let’s make it case-insensitive.

postsSearch.repository.ts

import { Injectable } from '@nestjs/common';

import DatabaseService from '../database/database.service';

import PostModel from './post.model';

@Injectable()

class PostsSearchRepository {

constructor(private readonly databaseService: DatabaseService) {}

// ...

async searchByAuthor(

authorId: number,

offset = 0,

limit: number | null = null,

idsToSkip = 0,

searchQuery: string,

) {

const databaseResponse = await this.databaseService.runQuery(

WITH selected_posts AS (

SELECT * FROM posts

WHERE author_id=$1 AND id > $4 AND (title ILIKE concat('%', $5::text, '%') OR post_content ILIKE concat('%', $5::text, '%'))

ORDER BY id ASC

OFFSET $2

LIMIT $3

total_posts_count_response AS (

SELECT COUNT(*)::int AS total_posts_count FROM posts

WHERE author_id=$1 AND id > $4 AND (title ILIKE concat('%', $5::text, '%') OR post_content ILIKE concat('%', $5::text, '%'))

)

SELECT * FROM selected_posts, total_posts_count_response

[authorId, offset, limit, idsToSkip, searchQuery],

);

const items = databaseResponse.rows.map(

(databaseRow) => new PostModel(databaseRow),

);

const count = databaseResponse.rows[0]?.total_posts_count || 0;

return {

items,

count,

};

}

export default PostsSearchRepository;

Using regular expressions

Using LIKE and ILIKE can cover a lot of use cases with pattern matching. But, unfortunately, not all of them. Sometimes we might need to be more specific when describing the pattern.

Fortunately, PostgreSQL allows us to use regular expressions with the ~ operator.

1 2	SELECT 'Hi!' ~ '^[0-9]$'; -- false SELECT '123' ~ '^[0-9]$'; -- true

If you want to know more about regular expressions, check out my series abour regex.

We can also make it case-insensitive by using the ~* operator.

1	SELECT 'Admin' ~* 'admin\|user\|moderator'; -- true

To check if a string does not match the regular expression, we can use the !~ operator.

1 2	SELECT 'admin' !~ 'admin\|user\|moderator'; -- false SELECT 'editor' !~ 'admin\|user\|moderator'; -- true

We can also mix it up and check if a string does not match the regular expression and keep it case-insensitive.

1	SELECT 'ADMIN' !~* 'admin\|user\|moderator'; -- false

Regular expressions can be handy when the LIKE operator is not enough. Unfortunately, we need to ensure we are writing an expression that does not cause issues with the performance. If you want to know more, check out Regex course – part four. Avoiding catastrophic backtracking using lookahead.

The SIMILAR TO operator

The SQL standard also contains the SIMILAR TO operator. It is a blend of the LIKE operator and regular expressions. Patterns used with SIMILAR TO are similar to regex but use _ and % instead of . and .*.

1	SELECT '123' SIMILAR TO '[0-9]{1,}'; -- true

The interesting thing is that PostgreSQL translates the patterns from the SIMILAR TO format to regular expressions.

1 2	EXPLAIN ANALYZE SELECT * FROM posts WHERE title SIMILAR TO '[0-9]{1,}';

Because of the above, I suggest writing regular expressions instead of using the SIMILAR TO operator when the LIKE keyword is not enough.

Summary

In this article, we’ve gone through pattern matching with PostgreSQL. We’ve used it to implement a search feature with NestJS. We also compared the LIKE and SIMILAR TO operators and regular expressions to get a better picture.

There is still more to learn when it comes to searching through text in PostgreSQL, such as the text search types. Stay tuned for more content!

Series Navigation<< API with NestJS #78. Generating statistics using aggregate functions in raw SQLAPI with NestJS #80. Updating entities with PUT and PATCH using raw SQL queries >>