MySQL and Oracle: Comparison of support for parallel queries and parallel computing

MySQL and Oracle: Comparison of support for parallel queries and parallel computing

Abstract:
This article will focus on the two most commonly used relational database systems-MySQL and Oracle in parallel queries and parallel computing Computing support. By comparing their characteristics, architecture, and code examples, it aims to help readers better understand the concepts of parallel queries and parallel computing as well as the different performances of the two database systems in this field.

Keywords: MySQL, Oracle, parallel query, parallel computing

1. Introduction
   With the advent of the information age, the increasing amount of data has made traditional serial queries and The calculation method appears to be inefficient. In order to better handle large-scale data and improve the performance of database systems, the introduction of parallel queries and parallel computing has become a solution. This article will compare the support of MySQL and Oracle in terms of parallel query and parallel computing.
2. Parallel query
   Parallel query refers to the execution of multiple query operations on different processors at the same time to improve query efficiency. Both MySQL and Oracle support parallel queries, but they implement them differently.

2.1 MySQL parallel query
In MySQL, you can control the degree of parallel query by setting the max_parallel_degree parameter. This parameter determines the maximum number of threads that can execute queries in parallel.

Sample code:

SET max_parallel_degree = 4;
SELECT * FROM table_name WHERE condition;

2.2 Oracle's parallel query
Oracle can use parallel prompt syntax to specify whether the query is executed in parallel and the setting of the degree of parallelism.

Sample code:

SELECT /*+ parallel(table_name, 4) */ * FROM table_name WHERE condition;

3. Parallel computing
   Parallel computing refers to performing computing operations on multiple processors at the same time to improve computing efficiency. MySQL and Oracle have different support methods for parallel computing.

3.1 MySQL Parallel Computing
In MySQL, parallel computing can be achieved through the parallel computing plug-in (Parallel Query). The parallel computing plug-in is a parallel computing engine based on the Shared-Everything architecture, which can divide a query into multiple computing tasks and execute them in parallel.

Sample code:

/* 开启并行计算插件 */
SET optimizer_switch='parallel_execution=on';
SELECT * FROM table_name WHERE condition;

3.2 Oracle's parallel computing
Oracle provides two ways to implement parallel computing: distributed SQL and parallel execution plans.

Sample code:

/* 使用分布式SQL来指定查询计划 */
SELECT /*+ DISTRIBUTE(table_name, PARTITION) */ * FROM table_name WHERE condition;

/* 使用并行执行计划来实现并行计算 */
SELECT /*+ PARALLEL(table_name, 4) */ * FROM table_name WHERE condition;

4. Summary
   Through the comparative analysis of this article, it can be seen that MySQL and Oracle have their own implementation methods in terms of parallel query and parallel computing. MySQL implements parallel queries and parallel calculations by setting parameters and plug-ins, while Oracle implements it through parallel prompt syntax and parallel execution plans. Readers can choose the appropriate parallel method according to their own needs and the characteristics of the database system to improve the performance and efficiency of the database system.

Reference:

1. MySQL official documentation (https://dev.mysql.com/doc/refman/8.0/en/parallel-query.html)
2. Oracle official documentation (https://docs.oracle.com/en/database/oracle/oracle-database/21/dbseg/query-rewrite.html)

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