Home Database Mysql Tutorial How to translate a complex SQL query with multiple joins, COUNT, and a left join into its LINQ equivalent?

How to translate a complex SQL query with multiple joins, COUNT, and a left join into its LINQ equivalent?

Jan 25, 2025 am 04:21 AM

How to translate a complex SQL query with multiple joins, COUNT, and a left join into its LINQ equivalent?

Convert SQL containing multiple connections, count and left connection to linq

Given SQL query contains multiple connections (including left connections) and the aggregation of using the count and the count (distinct) function. The goal is to convert this query to its linq equivalent items for the data access layer of the application.

SQL query:

linq query understanding:

1

2

3

4

5

6

7

8

9

10

11

12

13

14

SELECT DISTINCT c.Id,

       c.Title,

       COUNT(v.Id) AS 'Nb_V2',

       COUNT(DISTINCT v.IdUser) AS 'Nb_V1',

       r.cnt AS 'Nb_R'

FROM TABLE_C c

JOIN TABLE_V v on c.Id = v.Id

LEFT JOIN (

    SELECT Id, COUNT(*)  AS cnt

    FROM TABLE_R

    GROUP BY Id

) r ON c.Id = r.Id

WHERE c.IdUser = '1234'

GROUP BY c.Id, c.Title, r.cnt

Copy after login

A method that converts the SQL query to the linq query understanding is to use nested connections and anonymous types. However, converting the count and count (differentinct) function to the linq syntax may be challenging. Lambda expression:

You can use LAMBDA expressions to implement a more concise solution for linq conversion. By using Join ... selectmany to operate and group, you can write the query as follows:

<译> Translation Guide:

In order to effectively convert the SQL query to linq, the following guidelines can be applied:

1

2

3

4

5

6

7

8

9

10

11

var ans2 = Table_C.Where(c => c.IdUser == "1234")

                  .Join(Table_V, c => c.Id, v => v.Id, (c, v) => new { c, v })

                  .GroupJoin(Table_R.GroupBy(r => r.Id).Select(rg => new { Id = rg.Key, cnt = rg.Count() }), cv => cv.c.Id, r => r.Id, (cv, rj) => new { cv.c, cv.v, rj })

                  .SelectMany(cvrj => cvrj.rj.DefaultIfEmpty(), (cvrj, r) => new { cvrj.c, cvrj.v, r })

                  .GroupBy(cvr => new { cvr.c.Id, cvr.c.Title, cvr.r?.cnt }) //处理r可能为空的情况

                  .Select(cvrg => new {

                      cvrg.Key.Title,

                      Nb_V2 = cvrg.Count(),

                      Nb_V1 = cvrg.Select(cvr => cvr.v.IdUser).Distinct().Count(),

                      Nb_R = cvrg.Key.cnt

                  });

Copy after login

Unless the child chooses to quote the external column, it should be converted independently.

A single single operator and polymerization operator can be directly applied to the results of the linq query.

Anonymous type is used to represent multiple columns.
  • Connect classes are represented by navigation attributes or anonymous objects.
  • The left connection needs to be used with GroupJoin ... selectmany. Pay attention to the situation where
  • may be empty, and the corresponding vacancy check is added to
  • and
  • .
  • This Revied Answer Improves The Linq Query by Handling The Potential Null Value of r In the GroupBy AND Select Clauses, ains this change. The Rest of the Explaanation Remains The Same , Providing A Clear and Accurate Translation Guide from SQL To Linq.

The above is the detailed content of How to translate a complex SQL query with multiple joins, COUNT, and a left join into its LINQ equivalent?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

Explain InnoDB Full-Text Search capabilities. Explain InnoDB Full-Text Search capabilities. Apr 02, 2025 pm 06:09 PM

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Difference between clustered index and non-clustered index (secondary index) in InnoDB. Difference between clustered index and non-clustered index (secondary index) in InnoDB. Apr 02, 2025 pm 06:25 PM

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values ​​and pointers to data rows, and is suitable for non-primary key column queries.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Apr 02, 2025 pm 07:05 PM

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

See all articles