Enables a fast code path for queries that apply simple aggregate functions to partition key columns: MIN(key_column), MAX(key_column), or COUNT(DISTINCT key_column).

Type: Boolean; recognized values are 1 and 0, or true and false; any other value interpreted as false

Default: false (shown as 0 in output of SET statement)

Added in: CDH 5.7.0 (Impala 2.5.0)

Usage notes:

This optimization speeds up common "introspection" operations when using queries to calculate the cardinality and range for partition key columns.

This optimization does not apply if the queries contain any WHERE, GROUP BY, or HAVING clause. The relevant queries should only compute the minimum, maximum, or number of distinct values for the partition key columns across the whole table.

This optimization is enabled by a query option because it skips some consistency checks and therefore can return slightly different partition values if partitions are in the process of being added, dropped, or loaded outside of Impala. Queries might exhibit different behavior depending on the setting of this option in the following cases:

  • If files are removed from a partition using HDFS or other non-Impala operations, there is a period until the next REFRESH of the table where regular queries fail at run time because they detect the missing files. With this optimization enabled, queries that evaluate only the partition key column values (not the contents of the partition itself) succeed, and treat the partition as if it still exists.

  • If a partition contains any data files, but the data files do not contain any rows, a regular query considers that the partition does not exist. With this optimization enabled, the partition is treated as if it exists.

    If the partition includes no files at all, this optimization does not change the query behavior: the partition is considered to not exist whether or not this optimization is enabled.