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MySQL and Oracle: Comparison of support for distributed queries and distributed transactions

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Release: 2023-07-12 22:39:05
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MySQL and Oracle: Comparison of support for distributed queries and distributed transactions

Introduction:
With the advent of the Internet and big data era, enterprise database systems have become increasingly large and complex complex. In this case, Distributed Database Management System (Distributed Database Management System) has become a necessary choice. As two mainstream database systems, MySQL and Oracle have different characteristics and performances in supporting distributed queries and distributed transactions. This article will compare these two aspects and give corresponding code examples.

1. Comparison of distributed query support:

  1. MySQL’s distributed query support:
    MySQL implements distributed query through MySQL Cluster. MySQL Cluster is a high-availability and high-performance storage engine that stores data on multiple machines. It realizes distributed storage and query of data by distributing data on different nodes. The following is a sample code for using MySQL Cluster to perform distributed queries:
SELECT * FROM table_name WHERE condition;
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MySQL Cluster will distribute this query to each node for execution, and merge the results back to the application.

  1. Oracle's distributed query support:
    Oracle provides Oracle Real Application Clusters (RAC) to support distributed queries. Oracle RAC is a cluster database technology that allows multiple Oracle database instances to run simultaneously on different nodes and share the same data. The following is a sample code for using Oracle RAC for distributed query:
SELECT * FROM table_name WHERE condition;
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Oracle RAC will send this query to multiple database instances at the same time and merge the results back to the application.

2. Comparison of distributed transaction support:

  1. MySQL’s distributed transaction support:
    MySQL supports the Two-Phase Commit protocol to implement distributed transactions . In distributed transactions, update operations involving multiple database instances must maintain consistency, which requires a global coordinator to control transaction submission and rollback. The following is a sample code for a distributed transaction using MySQL's two-phase commit:
START TRANSACTION;
UPDATE table_name SET column_name = new_value WHERE condition;
COMMIT;
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When performing a COMMIT operation, MySQL will send a prepare-to-commit request to all nodes participating in the transaction and wait for each Node's reply. If all nodes agree to commit, the coordinator sends a commit request, otherwise a rollback request is sent.

  1. Oracle's distributed transaction support:
    Oracle also supports a two-phase commit protocol to implement distributed transactions. In Oracle, distributed transactions need to use database links (Database Link) to access other database instances. The following is a sample code that uses Oracle's two-phase commit for a distributed transaction:
START TRANSACTION;
UPDATE table_name SET column_name = new_value WHERE condition;
COMMIT;
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Copy after login

Similar to MySQL, when a COMMIT operation is performed, Oracle will send a prepare-to-commit request to all nodes participating in the transaction, and wait for a reply from each node. If all nodes agree to commit, the coordinator sends a commit request, otherwise a rollback request is sent.

Conclusion:
MySQL and Oracle, as two mainstream database systems, have some differences in their support for distributed queries and distributed transactions. MySQL implements distributed queries through MySQL Cluster, and Oracle implements distributed queries through Oracle RAC. In terms of supporting distributed transactions, both use a two-phase commit protocol.

As distributed databases become more and more widely used, support for distributed queries and distributed transactions is one of the important indicators for evaluating the performance and reliability of a database system. Choosing the right database system is critical to an enterprise's data management and application performance.

References:

  1. MySQL official documentation: https://dev.mysql.com/doc/
  2. Oracle official documentation: https://docs. oracle.com/en/database/

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