Considerations when Using GPORCA
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Considerations when Using GPORCA
- The table does not contain multi-column partition keys.
- The multi-level partitioned table is a uniform multi-level partitioned table. See About Uniform Multi-level Partitioned Tables.
- The server configuration parameter optimizer_enable_master_only_queries
is set to on when running against master only tables such as the system
table pg_attribute. For information about the parameter, see the Greenplum
Database Reference Guide.Note: Enabling this parameter decreases performance of short running catalog queries. To avoid this issue, set this parameter only for a session or a query.
- Statistics have been collected on the root partition of a partitioned table.
If the partitioned table contains more than 20,000 partitions, consider a redesign of the table schema.
These server configuration parameters affect GPORCA query processing.
- optimizer_cte_inlining_bound controls the amount of inlining performed for common table expression (CTE) queries (queries that contain a WHERE clause).
- optimizer_force_multistage_agg forces GPORCA to choose a 3 stage aggregate plan for a scalar distinct qualified aggregate.
- optimizer_force_three_stage_scalar_dqa forces GPORCA to choose a plan with multistage aggregates when such a plan alternative is generated.
- optimizer_join_order sets the query optimization level for join ordering by specifying which types of join ordering alternatives to evaluate.
- optimizer_join_order_threshold specifies the maximum number of join children for which GPORCA uses the dynamic programming-based join ordering algorithm.
- optimizer_nestloop_factor controls nested loop join cost factor to apply to during query optimization.
- optimizer_parallel_union controls the amount of parallelization that occurs for queries that contain a UNION or UNION ALL clause. When the value is on, GPORCA can generate a query plan the child operations of a UNION or UNION ALL operation execute in parallel on segment instances.
- optimizer_sort_factor controls the cost factor that GPORCA applies to sorting operations during query optimization. The cost factor can be adjusted for queries when data skew is present.
gp_enable_relsize_collection controls how GPORCA (and the legacy query
optimizer) handle a table without statistics. By default, GPORCA uses a default value to
estimate the number of rows if statistics are not available. When this value is
on, GPORCA uses the estimated size of a table if there are no statistics
for the table.
This parameter is ignored for a root partition of a partitioned table. If the root partition does not have statistics, GPORCA always uses the default value. You can use ANALZYE ROOTPARTITION to collect statistics on the root partition. See ANALYZE.
These server configuration parameters control the display and logging of information.
- optimizer_print_missing_stats controls the display of column information about columns with missing statistics for a query (default is true)
- optimizer_print_optimization_stats controls the logging of GPORCA query optimization metrics for a query (default is off)
For information about the parameters, see the Greenplum Database Reference Guide.
GPORCA generates minidumps to describe the optimization context for a given query. The minidump files are used by Pivotal support to analyze Greenplum Database issues. The information in the file is not in a format that can be easily used for debugging or troubleshooting. The minidump file is located under the master data directory and uses the following naming format:
For information about the minidump file, see the server configuration parameter optimizer_minidump in the Greenplum Database Reference Guide.
When the EXPLAIN ANALYZE command uses GPORCA, the EXPLAIN plan shows only the number of partitions that are being eliminated. The scanned partitions are not shown. To show the name of the scanned partitions in the segment logs set the server configuration parameter gp_log_dynamic_partition_pruning to on. This example SET command enables the parameter.
SET gp_log_dynamic_partition_pruning = on;