On the SQL Preview tab, you can view the SQL statement that was generated by Navicat:ĪLTER TABLE `sakila2`.`film` PARTITION BY HASH (actor) However, for a simple HASH partition, we only need to provide the partition criteria, (table column) and number of partitions:Ĭlick the OK button to create the partition in one easy step! The Partition dialog supports many options, including subpartitions as well as the ability to manually create partition definitions. Otherwise, there will be no benefit from creating partitions. You are partitioning the table on the column(s) which is/are most commonly utilized in your queries.If you do supply the column on which to partition the table, that it is a part of every unique key in that table.In order to benefit from Partitioning, you'll want to make sure that: Hence, data is distributed such that it does not correspond to a business or a logical view of the data, as it does in Range partitioning. Useful for times when it is not obvious in which partition data should reside, although the partitioning key can be identified. Hash partitioning: Randomly distributes data across partitions based on a hashing algorithm, rather than grouping similar data.In this case there is no partition key, so rows are distributed randomly across all partitions. Round-robin partitioning: Assigns rows in a round-robin manner to each partition so that each partition contains a more or less equal number of rows and load balancing is achieved.Composite partitioning also increases the number of partitions significantly, which may be beneficial for efficient parallel execution. For example, you may decide to store data for a specific product type in a read-only, compressed format, and keep other product type data uncompressed. Composite partitioning: Partitions on multiple dimensions, based on identification by a partitioning key.For example, all the customers for southern states could be stored in one partition while customers from northern states would be stored in different partitions. List partitioning: Explicitly maps rows to partitions based on discrete values.Hence, Range partitioning is ideal for partitioning historical data. Range partitioning: Range (or Interval) partitioning is useful when organizing similar data - especially date and time data.Here are the options that you'll find in Navicat for MySQL 7:
The types of partitioning supported depend on the database type and version. The very first control on the Partition dialog is the Partition By drop-down: In Navicat, you'll find the Partition button on the Options tab of the Table Designer, at the bottom of the page:Ĭlick this button to open the Partition dialog. Launching the Partitioning Dialog in Navicat In today's follow-up, we'll create a MySQL partition in Navicat for MySQL using the HASH partitioning criteria. In last week's blog we learned about the potential uses and advantages to utilizing Database Partitioning when working with large data sets.
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How to Partition a MySQL Table Using Navicat by Robert Gravelle
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