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Displaying posts with tag: Batch (reset)
How to batch INSERT statements with MySQL and Hibernate

Introduction In this article, we are going to see how we can batch INSERT statements when using MySQL and Hibernate. While Hibernate has long supported automated JDBC batch inserts, this feature doesn’t work when using the IDENTITY identifier generator strategy. Unfortunately, MySQL doesn’t support SEQUENCE objects, so using IDENTITY is the only reasonable option. Therefore, I’m going to show you a technique you can use to get Hibernate batch INSERT statements for entities that use the IDENTITY generator. Default batch INSERT with MySQL and Hibernate Let’s say we have created the following... Read More

The post How to batch INSERT statements with MySQL and Hibernate appeared first on Vlad Mihalcea.

MySQL rewriteBatchedStatements configuration property

Introduction In this article, we are going to see how MySQL rewriteBatchedStatements works when using JDBC, JPA, or Hibernate. I first researched this MySQL configuration property when I was writing the batching chapter of my High-Performance Java Persistence book, and, back then, I discovered that this setting allows batching plain Statement by rewriting the SQL string that is sent to the database. However, the MySQL 6 Connector/J documentation mentioned that: for prepared statements, server-side prepared statements can not currently take advantage of this rewrite option So, for a long time, I wrongly... Read More

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How to Execute SQL Batches With JDBC and jOOQ

Some databases (in particular MySQL and T-SQL databases like SQL Server and Sybase) support a very nice feature: They allow for running a "batch" of statements in a single statement. For instance, in SQL Server, you can do something like this: -- Statement #1 DECLARE @table AS TABLE (id INT); -- Statement #2 SELECT * … Continue reading How to Execute SQL Batches With JDBC and jOOQ →

Log Buffer #182, a Carnival of the Vanities for DBAs

This is the 182nd edition of Log Buffer, the weekly review of database blogs. Make sure to read the whole edition so you do not miss where to submit your SQL limerick!

This week started out with me posting about International Women’s Day, and has me personally attending Confoo (Montreal) which is an excellent conference I hope to return to next year. I learned a lot from confoo, especially the blending nosql and sql session I attended.

This week was also the Hotsos Symposium. …

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Batching – improving MySQL Cluster performance when using the NDB API

As many people are aware, the best performance can be achieved from MySQL Cluster by using the native (C++) NDB API (rather than using SQL via a MySQL Server). What’s less well known is that you can improve the performance of your NDB-API enabled application even further by ‘batching’. This article attempts to explain why batching helps and how to do it.

What is batching and why does it help?

NDB API accessing data from the Cluster without batching

Batching involves sending multiple operations from the application to the Cluster in one group rather than individually; the Cluster then processes these operations and sends back the results. Without batching, each of these operations incurs the latency of crossing the network as well as consuming CPU time on both the application and data node hosts.

By batching …

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Showing entries 1 to 5