We also used a 200 GB InnoDB shared table space file - so DB configuration will not be the issue I guess. Server configuration was based on the InnoDB 4GB heavy example - with somewhat higher buffer and memory parameters, as we had 12GB of RAM available.
MYSQL JDBC UPDATE PREPARESTATMTEXAMPLE WINDOWS
Our tests were performed on the same machine - the only difference was, that we used Windows Server OS for MS SQL and the latest Ubuntu release for MySQL.
Performance for our batch-based insert test (10.000 records each) on a table containing only some numbers (BIGINT and DOUBLE) with a compound primary key indicate that MS SQL is up to six times (!) faster than MySQL. When turned off, it prevents using a useful, but potentially dangerous feature in MySQL via JDBC. Our latest performance tests indicate that MySQL cannot compete in performance with MS SQL Server. MySQL's JDBC connector has a security feature called allowMultiQueries, which defaults to false. Does MySQL do a similar thing? An optimization would be to group a couple of batch commands and send a single SQL statement to the database for the command. I wonder how this is implemented in MySQL's JDBC driver? We already know of some databases that actually do a single SQL statement for each batch command in the job. As we know that we have option to use Statement or PreparedStatement to execute queries. For example, loading data from CSV files to relational database tables. Sometimes we need to run bulk queries of a similar kind for a database.
Most of the time, we do not use JDBC-API directly as we use EJB 2.x CMP in JBoss 4.0, but under some circumstances, we found out to be better off with using JDBC directly.Ī performance boost is achieved by using JDBS's PreparedStatement with addBatch() calls. Today we will look into JDBC Batch insert and update examples in MySQL and Oracle databases.
MYSQL JDBC UPDATE PREPARESTATMTEXAMPLE FREE
In my company, we use MySQL 5.1 with connector/J 5.1.7 (latest stable release) with InnoDB engine as free database backend alternative for persistent storage in a Java-based application.