![]() Hash Partitioning: Partition a table using a hash function on the partition key. The partition key in this case can be the country or city code, and each partition will define the list of codes that map to it. This is typically used when the partition key is a categorical value, e.g., a global sales table divided into regional partitions. List Partitioning: Partition a table by a list of known values. This is commonly used with date fields, e.g., a table containing sales data that is divided into monthly partitions according to the sale date. Range Partitioning: Partition a table by a range of values.Postgres provides three built-in partitioning methods: In this article, we create a partitioned table in Postgres and demonstrate how the optimizer can use it to improve query performance. The partitioning method is part of a partitioned table declaration and is determined according to the use case.ĭBAs and Developers who are familiar with this technique can improve query performance and ease of maintenance. The partition key is usually a column in the table, but it can also be an expression. To divide data into partitions, we define a partition key and a partitioning method. In addition, we describe the other benefits of partitioning as well as things to consider when deciding whether to use partitioning.Ī partitioned table is a logical structure used to divide a large table into smaller pieces called partitions. In this article, we describe different Postgres partitioning options, how to configure partitioning, and the use cases where partitioning can be used to increase performance. In our series on Postgres performance, we will discuss table partitioning in this first part and indexing in the next. Luckily, Postgres 11 provides several ways of dealing with this problem. But maintaining good performance and manageability for those large tables is even a bigger challenge. Managing large tables is a big challenge.
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