The property ‘ max_allowed_packet ’ defines the maximum size of a single network packet, so this parameter will limit the number of inserts included in a batch. There is also another important thing to take into account when dealing with batch inserts on MySQL.
INSERT INTO jdbc (`name`) VALUES ('value_name_1'),('value_name_2') Once this property is set to true, the rows will effectively be inserted in batches: To the connection URL in the configuration of the data source or cache. In order to do this, it is just needed to add the property To take advantage of batch inserts when using MySQL is necessary to change how the MySQL jdbc driver performs the connection. INSERT INTO jdbc ( `name` ) VALUES ( 'value_name_2' ) INSERT INTO jdbc ( `name` ) VALUES ( 'value_name_1' ) This implies that Virtual DataPort’s cache batch inserts are not going to be effective and all the rows are going to be inserted one at a time: When using a MySQL database as a cache database or as a data movement target source, it is important to notice that, by default, MySQL does not allow Batched statements. To speed up the data movement, the INSERT statements are also executed in batches. In the same way, when a data source is the target of a Data Movement operation, the Virtual DataPort server inserts data obtained from another data source into the target data source.
The size of the batches is determined by the ‘ batch insert size ’ parameter in the cache configuration. When the cache for a Virtual DataPort view is being populated, the rows obtained from the source are stored in the cache database using batch insertions.
#MYSQL SYNTAX INSERT VALUE HOW TO#
This document explains the behavior of the default configuration in MySQL databases for batch inserts and how to configure MySQL properly to take advantage of batch inserts when used as cache or as a data movement enabled data source in Virtual DataPort.
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