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pg_stat_query_plans

Yet another pg_stat_plans

Features

The pg_stat_query_plans module provides a means for tracking execution statistics of SQL statements and their plans.

Differences from original pg_stat_query_plans(https://www.postgresql.org/docs/current/pgstatstatements.html):

  • Track query execution plans
  • Store SQL and their execution plans in memory
  • Compress stored texts
  • Limit the maximum query and execution plan size
  • Store one (first meet) unchanged SQL for each execution plan
  • Add generation (uint64) field to all entities to cope with ABA problem

Installation

Compiling

The module can be built using the standard PGXS infrastructure. For this to work, the pg_config program must be available in your $PATH. Instruction to install follows::

git clone https://github.com/leborchuk/pg_stat_query_plans.git
cd pg_stat_query_plans
make
make install

PostgreSQL setup

The extension is now available. But, as it requires some shared memory to hold its counters, the module must be loaded at PostgreSQL startup. Thus, you must add the module to shared_preload_libraries in your postgresql.conf. You need a server restart to take the change into account.

Add the following parameters into you postgresql.conf:

# postgresql.conf
shared_preload_libraries = 'pg_stat_query_plans'

Once your PostgreSQL cluster is restarted, you can install the extension in every database where you need to access the statistics::

mydb=# CREATE EXTENSION pg_stat_query_plans;

pg_stat_query_plans Usage

pg_stat_query_plans create several objects.

pg_stat_query_plans view

The statistics gathered by the module are made available via a view named pg_stat_query_plans. This view contains one row for each distinct combination of database ID, user ID, query ID and whether it's a top-level statement or not (up to the maximum number of distinct statements that the module can track). The columns of the view are shown in Table 1.

Table 1. pg_stat_query_plans Columns

Name Type Description
userid oid OID of user who executed the statement
dbid oid OID of database in which the statement was executed
toplevel bool True if the query was executed as a top-level statement (always true if pg_stat_query_plans.track is set to top)
queryid bigint Hash code to identify identical normalized queries
query text Text of a representative statement
plans bigint Number of times the statement was planned (if pg_stat_query_plans.track_planning is enabled, otherwise zero)
total_plan_time double precision Total time spent planning the statement, in milliseconds (if pg_stat_query_plans.track_planning is enabled, otherwise zero)
min_plan_time double precision Minimum time spent planning the statement, in milliseconds (if pg_stat_query_plans.track_planning is enabled, otherwise zero)
max_plan_time double precision Maximum time spent planning the statement, in milliseconds (if pg_stat_query_plans.track_planning is enabled, otherwise zero)
mean_plan_time double precision Mean time spent planning the statement, in milliseconds (if pg_stat_query_plans.track_planning is enabled, otherwise zero)
stddev_plan_time double precision Population standard deviation of time spent planning the statement, in milliseconds
calls bigint Number of times the statement was executed
total_exec_time double precision Total time spent executing the statement, in milliseconds
min_exec_time double precision Minimum time spent executing the statement, in milliseconds
max_exec_time double precision Maximum time spent executing the statement, in milliseconds
mean_exec_time double precision Mean time spent executing the statement, in milliseconds
stddev_exec_time double precision Population standard deviation of time spent executing the statement, in milliseconds
rows bigint Total number of rows retrieved or affected by the statement
shared_blks_hit bigint Total number of shared block cache hits by the statement
shared_blks_read bigint Total number of shared blocks read by the statement
shared_blks_dirtied bigint Total number of shared blocks dirtied by the statement
shared_blks_written bigint Total number of shared blocks written by the statement
local_blks_hit bigint Total number of local block cache hits by the statement
local_blks_read bigint Total number of local blocks read by the statement
local_blks_dirtied bigint Total number of local blocks dirtied by the statement
local_blks_written bigint Total number of local blocks written by the statement
temp_blks_read bigint Total number of temp blocks read by the statement
temp_blks_written bigint Total number of temp blocks written by the statement
blk_read_time double precision Total time the statement spent reading data file blocks, in milliseconds (if track_io_timing is enabled, otherwise zero)
blk_write_time double precision Total time the statement spent writing data file blocks, in milliseconds (if track_io_timing is enabled, otherwise zero)
temp_blk_read_time double precision Total time the statement spent reading temporary file blocks, in milliseconds (if track_io_timing is enabled, otherwise zero)
temp_blk_write_time double precision Total time the statement spent writing temporary file blocks, in milliseconds (if track_io_timing is enabled, otherwise zero)
wal_records bigint Total number of WAL records generated by the statement
wal_fpi bigint Total number of WAL full page images generated by the statement
wal_bytes numeric Total amount of WAL generated by the statement in bytes
jit_functions bigint Total number of functions JIT-compiled by the statement
jit_generation_time double precision Total time spent by the statement on generating JIT code, in milliseconds
jit_inlining_count bigint Number of times functions have been inlined
jit_inlining_time double precision Total time spent by the statement on inlining functions, in milliseconds
jit_optimization_count bigint Number of times the statement has been optimized
jit_optimization_time double precision Total time spent by the statement on optimizing, in milliseconds
jit_emission_count bigint Number of times code has been emitted
jit_emission_time double precision Total time spent by the statement on emitting code, in milliseconds
generation bigint Sequence number, increase each time query registered, so always change if query was deallocated and re-added

pg_stat_query_plans_plans view

pg_stat_query_plans_plans show detailed info about statements gathered by pg_stat_query_plans - which execution plan was used to process statements, how many times statement has been executed using specific execution plan, etc. This view contains one row for each distinct combination of database ID, user ID, query ID, plan ID and whether it's a top-level statement or not (up to the maximum number of distinct statements that the module can track). The columns of the view are shown in Table 2.

Table 2. pg_stat_query_plans_plans Columns

Name Type Description
userid oid OID of user who executed the statement
dbid oid OID of database in which the statement was executed
toplevel bool True if the query was executed as a top-level statement (always true if pg_stat_query_plans.track is set to top)
queryid bigint Hash code to identify identical normalized queries
planid bigint Hash code to identify identical normalized query execution plans
query text Example of query statement with literals (collected at the first execution)
normalized_plan text Text of a representative execution plan
example_plan text Example of query execution plan with costs and literals (collected at the first execution)
calls bigint Number of times the statement was executed
total_exec_time double precision Total time spent executing the statement, in milliseconds
min_exec_time double precision Minimum time spent executing the statement, in milliseconds
max_exec_time double precision Maximum time spent executing the statement, in milliseconds
mean_exec_time double precision Mean time spent executing the statement, in milliseconds
stddev_exec_time double precision Population standard deviation of time spent executing the statement, in milliseconds
rows bigint Total number of rows retrieved or affected by the statement
shared_blks_hit bigint Total number of shared block cache hits by the statement
shared_blks_read bigint Total number of shared blocks read by the statement
shared_blks_dirtied bigint Total number of shared blocks dirtied by the statement
shared_blks_written bigint Total number of shared blocks written by the statement
local_blks_hit bigint Total number of local block cache hits by the statement
local_blks_read bigint Total number of local blocks read by the statement
local_blks_dirtied bigint Total number of local blocks dirtied by the statement
local_blks_written bigint Total number of local blocks written by the statement
temp_blks_read bigint Total number of temp blocks read by the statement
temp_blks_written bigint Total number of temp blocks written by the statement
blk_read_time double precision Total time the statement spent reading data file blocks, in milliseconds (if track_io_timing is enabled, otherwise zero)
blk_write_time double precision Total time the statement spent writing data file blocks, in milliseconds (if track_io_timing is enabled, otherwise zero)
temp_blk_read_time double precision Total time the statement spent reading temporary file blocks, in milliseconds (if track_io_timing is enabled, otherwise zero)
temp_blk_write_time double precision Total time the statement spent writing temporary file blocks, in milliseconds (if track_io_timing is enabled, otherwise zero)
wal_records bigint Total number of WAL records generated by the statement
wal_fpi bigint Total number of WAL full page images generated by the statement
wal_bytes numeric Total amount of WAL generated by the statement in bytes
jit_functions bigint Total number of functions JIT-compiled by the statement
jit_generation_time double precision Total time spent by the statement on generating JIT code, in milliseconds
jit_inlining_count bigint Number of times functions have been inlined
jit_inlining_time double precision Total time spent by the statement on inlining functions, in milliseconds
jit_optimization_count bigint Number of times the statement has been optimized
jit_optimization_time double precision Total time spent by the statement on optimizing, in milliseconds
jit_emission_count bigint Number of times code has been emitted
jit_emission_time double precision Total time spent by the statement on emitting code, in milliseconds
startup_cost bigint The amount of work (cost) expended before output scan can start
total_cost bigint Estimated cost if all rows were to be retrieved
plan_rows bigint The number of rows (estimation) output by the plan if executed to completion
plan_width bigint Average width of rows in bytes (estimation)
generation bigint Sequence number, increase each time execution plam registered, so always change if plan was deallocated and re-added

pg_stat_query_plans_info_ya view

The statistics of the pg_stat_query_plans module itself are tracked and made available via a view named pg_stat_query_plans_info_ya. This view contains only a single row. The columns of the view are shown in Table 3:

Table 3. pg_stat_query_plans_info_ya Columns

Name Type Description
dealloc bigint Total number of times entries about the least-executed statements were deallocated because more distinct max statements were stored
stats_reset timestamp Time at which all statistics in the pg_stat_query_plans view were last reset
gc_count bigint Total number of times texts (of queries and execution plans) were compacted to reclaim memory which was allocated, but is no longer referenced
generation bigint Increasing sequence counter, used to mark by unique identifier added statements
storage_offset bigint Amount of memory, used to store texts (of queries and execution plans), include allocated but no longer used space
queries_text_size bigint Total size of stored query texts
queries_compressed_text_size bigint Total size, used in shared storage for query texts (by default texts compressed before store)
plans_text_size bigint Total size of stored query execution plans (stored as explain output)
plans_compressed_text_size bigint Total size, used in shared storage for query execution plans (by default explain output compressed before store)
queries bigint Total number of stored unique query statements
execution_plans bigint Total number of stored unique query execution plan statements
queries_wiped_out bigint The number of query statements deleted in deallocation
plans_wiped_out bigint The number of query execution plan statements deleted in deallocation
dealloc_time_ms bigint Total time spent in deallocation process, in ms
gc_time_ms bigint Total time spent in gc process, in ms

pg_stat_query_plans functions

pg_stat_query_plans_reset(userid Oid, dbid Oid, queryid bigint) returns void

pg_stat_query_plans_reset_ya discards statistics (statements and execution plans) gathered so far by pg_stat_query_plans corresponding to the specified userid, dbid and queryid. If any of the parameters are not specified, the default value 0 is used for each of them and the statistics that match with other parameters will be reset. If no parameter is specified or all the specified parameters are 0, it will discard all statistics. If all statistics in the pg_stat_query_plans view are discarded, it will also reset the statistics in the pg_stat_query_plans_info view. By default, this function can only be executed by superusers. Access may be granted to others using GRANT.

pg_stat_query_plans_reset_minmax() returns void

Reset for all statements and execution plans statistics min_plan_time, max_plan_time, mean_plan_time, stddev_plan_time, min_exec_time, max_exec_time, ean_exec_time, stddev_exec_time to zero for pg_stat_staments_ya and min_exec_time, max_exec_time, ean_exec_time, stddev_exec_time to zero for pg_stat_query_plans. Could be usefull for measure planning and execution time deviations between statistics observations.

pg_stat_query_plans(showtext boolean) returns setof record

The pg_stat_query_plans view is defined in terms of a function also named pg_stat_query_plans. It is possible for clients to call the pg_stat_query_plans function directly, and by specifying showtext := false have query text be omitted (that is, the OUT argument that corresponds to the view's query column will return nulls). This feature is intended to support external tools that might wish to avoid the overhead of repeatedly retrieving query texts of indeterminate length. Such tools can instead cache the first query text observed for each entry themselves, since that is all pg_stat_query_plans itself does, and then retrieve query texts only as needed.

pg_stat_query_plans_plans(showtext boolean) returns setof record

Same as pg_stat_query_plans, return pg_stat_query_plans_plans view data

pg_stat_query_plans configuration parameters

The module requires additional shared memory proportional to pg_stat_query_plans.max and pg_stat_query_plans.storage_memory. Note that this memory is consumed whenever the module is loaded, even if pg_stat_query_plans.track is set to none.

These parameters must be set in postgresql.conf. Typical usage might be:

# postgresql.conf
shared_preload_libraries = 'pg_stat_query_plans'
pg_stat_query_plans.max = 10000
pg_stat_query_plans.storage_memory = 268435456
pg_stat_query_plans.track = all

pg_stat_query_plans.max (integer)

The maximum number of statements tracked by the module (i.e., the maximum number of rows in the pg_stat_query_plans view). If more distinct statements than that are observed, information about the least-executed statements is discarded. The number of times such information was discarded can be seen in the pg_stat_query_plans_info_ya view. The default value is 10000 for query statements and 2 x pg_stat_query_plans.max for execution plan entries. This parameter can only be set at server start.

pg_stat_query_plans.max_query_len (integer)

The maximum length of query texts stored by pg_stat_query_plans. Query length counts after compression. In a case of exceeded maximum length text will be truncated till max_query_len symbols and message "deleted tail xx symbols" will be added to the end of query text. The default value is 4194304. Only superusers can change this setting.

pg_stat_query_plans.max_plan_size (integer)

The maximum length of execution plan texts stored by pg_stat_query_plans. Execution plan length counts after compression. In a case of exceeded maximum length text will be truncated till max_plan_size symbols and message "deleted tail xx symbols" will be added to the end of execution plan. The default value is 6291456. Only superusers can change this setting.

pg_stat_query_plans.storage_memory (integer)

The amount of shared memory used to store texts - queries and execution plans. The default value is 268435456. Only superusers can change this setting.

pg_stat_query_plans.track (enum)

Controls which statements are counted by the module. Specify top to track top-level statements (those issued directly by clients), all to also track nested statements (such as statements invoked within functions), or none to disable statement statistics collection. The default value is top. Only superusers can change this setting.

pg_stat_query_plans.track_utility (bool)

Controls whether utility commands are tracked by the module. Utility commands are all those other than SELECT, INSERT, UPDATE, DELETE, and MERGE. The default value is on. Only superusers can change this setting.

pg_stat_query_plans.track_planning (bool)

Сontrols whether planning operations and duration are tracked by the module. Enabling this parameter may incur a noticeable performance penalty, especially when statements with identical query structure are executed by many concurrent connections which compete to update a small number of pg_stat_query_plans entries. The default value is off. Only superusers can change this setting.

pg_stat_query_plans.track_plans (bool)

Controls whether track execution plans or not. If tracking execution plans query statistics will be stored twice - for query and corresponding execution plan. The default value is on. Only superusers can change this setting.

pg_stat_query_plans.normalize_plans (bool)

Enable execution plan normalization. Normalization is quite similar query text normalization: literal constants or fluctuating values such like costs or measured time replaced by substitute variables. The default value is on. Only superusers can change this setting.

pg_stat_query_plans.pgqp_encoding (enum)

Set compression method for stored texts, "pglz" compress texts using PGLZ algorithm, "plaintext" stores texts without compression. The default value is "pglz". Only superusers can change this setting.

pg_stat_query_plans.example_plan_format (enum)

Selects which format to be appied for plan representation in pg_stat_query_plans. Example plan collected during first query execution using EXPLAIN statement. Possible values for pg_stat_query_plans.example_plan_format is the same as for EXPLAIN foutput format, which can be "text", "xml", "json", or "yaml". The default value is "json". Only superusers can change this setting.

pg_stat_query_plans.example_plan_verbose (bool)

Set VERBOSE for EXPLAIN on collecting example plan. The default value is on. Only superusers can change this setting.

pg_stat_query_plans.example_plan_triggers (bool)

Log trigger trace in EXPLAIN.

Sample output

test=# SELECT pg_stat_query_plans_reset_ya();

$ pgbench -i test
$ pgbench --client=10 --jobs=5 --time=120 test

test=# \x

test=# SELECT query, calls, total_exec_time, rows, 100.0 * shared_blks_hit /
test-#                nullif(shared_blks_hit + shared_blks_read, 0) AS hit_percent
test-#           FROM pg_stat_query_plans ORDER BY total_exec_time DESC LIMIT 5;

-[ RECORD 1 ]---+-----------------------------------------------------------------------------------------------------
query           | UPDATE pgbench_tellers SET tbalance = tbalance + $1 WHERE tid = $2
calls           | 525503
total_exec_time | 1976767.946711934
rows            | 525503
hit_percent     | 99.9999744183500245
-[ RECORD 2 ]---+-----------------------------------------------------------------------------------------------------
query           | UPDATE pgbench_branches SET bbalance = bbalance + $1 WHERE bid = $2
calls           | 525490
total_exec_time | 1956168.140791016
rows            | 525490
hit_percent     | 99.9999879581690878
-[ RECORD 3 ]---+-----------------------------------------------------------------------------------------------------
query           | UPDATE pgbench_accounts SET abalance = abalance + $1 WHERE aid = $2
calls           | 525505
total_exec_time | 19382.711481000042
rows            | 525505
hit_percent     | 99.9897051941974731
-[ RECORD 4 ]---+-----------------------------------------------------------------------------------------------------
query           | SELECT abalance FROM pgbench_accounts WHERE aid = $1
calls           | 525503
total_exec_time | 6356.537003000069
rows            | 525503
hit_percent     | 100.0000000000000000
-[ RECORD 5 ]---+-----------------------------------------------------------------------------------------------------
query           | INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES ($1, $2, $3, $4, CURRENT_TIMESTAMP)
calls           | 525477
total_exec_time | 5549.626488000205
rows            | 525477
hit_percent     | 99.9981238062717404

test=# SELECT query, normalized_plan, calls, total_exec_time, rows, 100.0 * shared_blks_hit /
test-#                nullif(shared_blks_hit + shared_blks_read, 0) AS hit_percent
test-#           FROM pg_stat_query_plans_plans ORDER BY total_exec_time DESC LIMIT 5;

-[ RECORD 1 ]---+------------------------------------------------------------------------
query           | UPDATE pgbench_branches SET bbalance = bbalance + $1 WHERE bid = $2
normalized_plan | Update on public.pgbench_branches                                      +
                |   ->  Index Scan using pgbench_branches_pkey on public.pgbench_branches+
                |         Output: (bbalance + $1::integer), ctid                         +
                |         Index Cond: (pgbench_branches.bid = $2)                        +
                |
calls           | 259532
total_exec_time | 966260.7150509937
rows            | 259532
hit_percent     | 100.0000000000000000
-[ RECORD 2 ]---+------------------------------------------------------------------------
query           | UPDATE pgbench_branches SET bbalance = bbalance + $1 WHERE bid = $2
normalized_plan | Update on public.pgbench_branches                                      +
                |   ->  Index Scan using pgbench_branches_pkey on public.pgbench_branches+
                |         Output: (bbalance + $1), ctid                                  +
                |         Index Cond: (pgbench_branches.bid = $2)                        +
                |
calls           | 259284
total_exec_time | 963860.7137359913
rows            | 259284
hit_percent     | 100.0000000000000000
-[ RECORD 3 ]---+------------------------------------------------------------------------
query           | UPDATE pgbench_tellers SET tbalance = tbalance + $1 WHERE tid = $2
normalized_plan | Update on public.pgbench_tellers                                       +
                |   ->  Index Scan using pgbench_tellers_pkey on public.pgbench_tellers  +
                |         Output: (tbalance + $1), ctid                                  +
                |         Index Cond: (pgbench_tellers.tid = $2)                         +
                |
calls           | 189256
total_exec_time | 713699.6042899912
rows            | 189256
hit_percent     | 100.0000000000000000
-[ RECORD 4 ]---+------------------------------------------------------------------------
query           | UPDATE pgbench_tellers SET tbalance = tbalance + $1 WHERE tid = $2
normalized_plan | Update on public.pgbench_tellers                                       +
                |   ->  Index Scan using pgbench_tellers_pkey on public.pgbench_tellers  +
                |         Output: (tbalance + $1::integer), ctid                         +
                |         Index Cond: (pgbench_tellers.tid = $2)                         +
                |
calls           | 189010
total_exec_time | 711204.459061006
rows            | 189010
hit_percent     | 100.0000000000000000
-[ RECORD 5 ]---+------------------------------------------------------------------------
query           | UPDATE pgbench_tellers SET tbalance = tbalance + $1 WHERE tid = $2
normalized_plan | Update on public.pgbench_tellers                                       +
                |   ->  Bitmap Heap Scan on public.pgbench_tellers                       +
                |         Output: (tbalance + $1::integer), ctid                         +
                |         Recheck Cond: (pgbench_tellers.tid = $2)                       +
                |         ->  Bitmap Index Scan on pgbench_tellers_pkey                  +
                |               Index Cond: (pgbench_tellers.tid = $3)                   +
                |
calls           | 68881
total_exec_time | 257161.87226300067
rows            | 68881
hit_percent     | 100.0000000000000000

Description

Similar extensions

There are a lot of similar extensions, here the links for some of them:

  1. pg_show_plans https://github.com/cybertec-postgresql/pg_show_plans Extension that shows query plans of all the currently running SQL statements.

  2. pg_store_plans https://github.com/ossc-db/pg_store_plans Provides a means for tracking execution plan statistics of all SQL statements executed by a server (need pg_stat_query_plans to get query text).

  3. pg_stat_monitor https://github.com/percona/pg_stat_monitor Query Performance Monitoring tool for PostgreSQL. It attempts to provide a more holistic picture by providing much-needed query performance insights in a single view.

Calculating PlanID

An execution plan identifier (PlanID) allows to merge similar execution plans. PlanID is a hash of the query execution plan without insignificant details such as cost, numeric and string literals. To calculate PlanID, the Explain Output is re-parsed, algorithm of work is:

  1. In the ExecutorEnd hook, print the query execution plan (without cost)
  2. Start yyscann of execution plan
  3. In a parsing process, if we encounter a constant (numeric or string), we replace it with a symbol of the form $
  4. Leave the rest of the elements unchanged
  5. Calculate the hash from the resulting execution plan This approach allows one not to depend on Explain output specificities various PG versions. It would be more CPU efficient to calculate the ID based on QueryDesc.plannedstmt without printing the plan, but this was left for future improvements.

Deleting old plans

The data is stored in several structures:

  1. Continuous memory area for storing query texts and plan texts
  2. Hash table of query statistics
  3. Hash table of execution plan statistics

When purge is performed, execution plans are sorted by usage (similar to pg_stat_query_plans). Remove PGQP_FREE_PERCENT of the least used execution plans. During the deletion process, the reference counts in the query statistics and text storage are reduced. Then remove queries from the hash table with zero reference counts.

If the cause of cleanup was text memory area exhaustion, cleanup continues until PGQP_FREE_PERCENT memory size will be freed.

If, after cleaning, a high watermark in the text storage area does not allow inserting new text, garbage collection is taking place in text storage (texts are moved, links to them are replaced).

Bugs and limitations

Support PG>=11

Tests work only for PG15

Authors

pg_stat_query_plans is an original development from Leonid Borchuk, with large portions of code inspired from pg_stat_query_plans and pg_stat_plans.

Very thanks to Peter Geoghegan and Itagaki Takahiroso I could write this extension quite straightforward.

License

pg_stat_query_plans is free software distributed under the Apache License, Version 2.0.

Copyright (c) 2024, YANDEX LLC