Partitioned table statistics vs autoanalyze - Mailing list pgsql-performance
From | Kamil Frydel |
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Subject | Partitioned table statistics vs autoanalyze |
Date | |
Msg-id | 0d1b394b-bec9-8a71-a336-44df7078b295@gmail.com Whole thread Raw |
Responses |
Re: Partitioned table statistics vs autoanalyze
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List | pgsql-performance |
Hi, we faced a performance issue when joining 2 partitioned tables (declarative partitioning). The planner chooses nested loop while we expect hash join. The query and the plan are available here: https://explain.depesz.com/s/23r9 table_1 and table_2 are hash partitioned using volume_id column. Usually we make analyze on partitions. We do not make analyze on the partitioned table (parent). However, if we run 'analyze' on the partitioned table then planner starts choosing hash join. As a comparison, the execution using nested loop takes about 15 minutes and if it is done using hash join then the query lasts for about 1 minute. When running 'analyze' for the partitioned table, postgres inserts statistics for the partitioned table into pg_stats (pg_statistics). Before that, there are only statistics for partitions. We suspect that this is the reason for selecting bad query plan. The query is executed with cursor thus, in order to avoid parallel query, I set max_parallel_workers_per_gather to 0 during tests. We found that a similar issue was discussed in the context of inheritance: https://www.postgresql.org/message-id/Pine.BSO.4.64.0904161836540.11937%40leary.csoft.net and the conclusion was to add the following paragraph to the 'analyze' doc: > If the table being analyzed has one or more children, ANALYZE will gather statistics twice: once on the rows of the parent table only, and a second time on the rows of the parent table with all of its children. This second set of statistics is needed when planning queries that traverse the entire inheritance tree. The autovacuum daemon, however, will only consider inserts or updates on the parent table itself when deciding whether to trigger an automatic analyze for that table. If that table is rarely inserted into or updated, the inheritance statistics will not be up to date unless you run ANALYZE manually. (https://www.postgresql.org/docs/13/sql-analyze.html) I would appreciate if anyone could shed some light on the following questions: 1) Is this above paragraph from docs still valid in PG 13 and does it apply to declarative partitioning as well? Is running analyze manually on a partitioned table needed to get proper plans for queries on partitioned tables? Partitioned table (in the declarative way) is ”virtual” and does not keep any data so it seems that there are no statistics that can be gathered from the table itself and statistics from partitions should be sufficient. 2) Why does the planner need these statistics since they seem to be unused in the query plan. The query plan uses only partitions, not the partitioned table. PostgreSQL version number: version --------------------------------------------------------------------------------------------------------------------------------------------- PostgreSQL 13.3 (Ubuntu 13.3-1.pgdg16.04+1) on x86_64-pc-linux-gnu, compiled by gcc (Ubuntu 5.4.0-6ubuntu1~16.04.12) 5.4.0 20160609, 64-bit (1 row) How you installed PostgreSQL: From Ubuntu 16 repositories. Changes made to the settings in the postgresql.conf file: name | current_setting | source -------------------------------------+-----------------------------------------+---------------------- application_name | psql | client auto_explain.log_analyze | on | configuration file auto_explain.log_min_duration | 30s | configuration file auto_explain.log_nested_statements | on | configuration file auto_explain.log_timing | off | configuration file autovacuum_freeze_max_age | 1000000000 | configuration file autovacuum_max_workers | 6 | configuration file autovacuum_vacuum_cost_delay | 20ms | configuration file autovacuum_vacuum_cost_limit | 2000 | configuration file checkpoint_completion_target | 0.9 | configuration file checkpoint_timeout | 15min | configuration file cluster_name | 13/main | configuration file cpu_index_tuple_cost | 0.001 | configuration file cpu_operator_cost | 0.0005 | configuration file cursor_tuple_fraction | 1 | configuration file DateStyle | ISO, MDY | configuration file default_statistics_target | 200 | configuration file default_text_search_config | pg_catalog.english | configuration file dynamic_shared_memory_type | posix | configuration file effective_cache_size | 193385MB | configuration file effective_io_concurrency | 1000 | configuration file external_pid_file | /var/run/postgresql/13-main.pid | configuration file from_collapse_limit | 15 | configuration file geqo_threshold | 15 | configuration file idle_in_transaction_session_timeout | 1h | configuration file jit_above_cost | -1 | configuration file jit_inline_above_cost | -1 | configuration file jit_optimize_above_cost | -1 | configuration file join_collapse_limit | 15 | configuration file lc_messages | en_US.UTF-8 | configuration file lc_monetary | en_US.UTF-8 | configuration file lc_numeric | en_US.UTF-8 | configuration file lc_time | en_US.UTF-8 | configuration file log_autovacuum_min_duration | 1min | configuration file log_checkpoints | on | configuration file log_connections | on | configuration file log_destination | stderr | configuration file log_directory | pg_log | configuration file log_disconnections | on | configuration file log_filename | postgresql-%Y-%m-%d_%H%M%S.log | configuration file log_line_prefix | %t [%p-%l] app=%a %q%u@%d | configuration file log_lock_waits | on | configuration file log_min_duration_statement | 3s | configuration file log_rotation_age | 1d | configuration file log_rotation_size | 1GB | configuration file log_temp_files | 0 | configuration file log_timezone | America/New_York | configuration file logging_collector | on | configuration file maintenance_work_mem | 2GB | configuration file max_connections | 1000 | configuration file max_locks_per_transaction | 1280 | configuration file max_parallel_workers_per_gather | 6 | configuration file max_stack_depth | 2MB | environment variable max_wal_size | 10GB | configuration file max_worker_processes | 26 | configuration file min_wal_size | 1GB | configuration file pg_stat_statements.max | 2000 | configuration file pg_stat_statements.track | all | configuration file pg_stat_statements.track_planning | off | configuration file port | 5433 | configuration file random_page_cost | 1.5 | configuration file shared_buffers | 8GB | configuration file shared_preload_libraries | pg_stat_statements,auto_explain | configuration file ssl | on | configuration file ssl_cert_file | /etc/ssl/certs/ssl-cert-snakeoil.pem | configuration file ssl_key_file | /etc/ssl/private/ssl-cert-snakeoil.key | configuration file stats_temp_directory | /var/run/postgresql/13-main.pg_stat_tmp | configuration file temp_buffers | 2GB | configuration file TimeZone | America/New_York | configuration file track_commit_timestamp | on | configuration file track_io_timing | on | configuration file unix_socket_directories | /var/run/postgresql | configuration file vacuum_freeze_table_age | 1000000000 | configuration file wal_buffers | 128MB | configuration file work_mem | 758MB | configuration file (75 rows) Operating system and version: Linux r730server 4.15.0-142-generic #146~16.04.1-Ubuntu SMP Tue Apr 13 09:27:15 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux What program you're using to connect to PostgreSQL: psql Is there anything relevant or unusual in the PostgreSQL server logs?: No -- Best Regards Kamil Frydel
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