This topic compares the online transaction processing (OLTP) performance between Archive Database (X-Engine engine) and Cluster Edition (InnoDB engine) in ApsaraDB PolarDB MySQL-compatible edition 8.0.
ApsaraDB PolarDB MySQL-compatible edition Archive Database uses the storage engine X-Engine that is developed by Alibaba Cloud. X-Engine provides high data compression capabilities. This allows you to store a large amount of archived data at a low cost. Based on the internal best practices of Archive Database, when you store the same amount of data, Archive Database consumes only one-fifth to one-third of the storage of the InnoDB engine. For more information, see Archive database.
- A cluster of Archive Database contains one primary node. By default, a cluster of Cluster Edition contains one primary node and one read-only node. Therefore, to ensure comparability, this test is performed on only the primary node of the Cluster Edition cluster.
- Archive Database and Cluster Edition use different engines. To make sure that both engines can achieve the highest performance, different numbers of threads are used to test nodes with the same specifications.
- For more information about the test, see OLTP performance test.
- If the read-only nodes are the same, the read-only performance of Archive Database is almost the same as that of InnoDB.
- If the node specifications are the same, the write performance of the Archive Database is 20% higher than that of the InnoDB database.
Comparison of read-only performance
Comparison of write performance
- Comparison of write QPS
- Comparison of write TPS
- Queries per second (QPS): the number of SQL statements that are executed per second in the database, including the BEGIN, COMMIT, INSERT, UPDATE, and DELETE statements.
- Transactions per second (TPS): the number of transactions that are performed per second in the database. Only the successful committed transactions are counted.
For more information about how to test the write QPS and write TPS, see OLTP performance tests.
Comparison of read/write performance
- Comparison of read/write QPS
- Comparison of read/write TPS