13.1. Table Statistics
Presto supports statistics based optimizations for queries. For a query to take advantage of these optimizations, Presto must have statistical information for the tables in that query.
Table statistics are provided to the query planner by connectors. Currently, the following connectors support statistics:
- Hive Connector
- Teradata Connector
- Oracle Connector
- Snowflake Connector
- SQL Server Connector
- PostgreSQL Connector
- MySQL Connector
Statistics are exposed to the query planner by a table layout. A table layout represents a subset of a table’s data and contains information about the organizational properties of that data (like sort order and bucketing).
The number of table layouts available for a table and the details of those table layouts are specific to each connector. Using the Hive connector as an example:
- Non-partitioned tables have just one table layout representing all data in the table
- Partitioned tables have a family of table layouts. Each set of partitions to be scanned represents one table layout. Presto will try to pick a table layout consisting of the smallest number of partitions based on filtering predicates from the query.
The following statistics are available in Presto:
- For a table:
- row count: the total number of rows in the table layout
- For each column in a table:
- data size: the size of the data that needs to be read
- nulls fraction: the fraction of null values
- distinct value count: the number of distinct values
- low value: the smallest value in the column
- high value: the largest value in the column
The set of statistics available for a particular query depends on the connector being used and can also vary by table or even by table layout. For example, the Hive connector does not currently provide statistics on data size.