The lt_stat_statements module provides a means for
tracking planning and execution statistics of all SQL statements executed by
a server.
The module must be loaded by adding lt_stat_statements to
shared_preload_libraries in
lightdb.conf, because it requires additional shared memory.
This means that a server restart is needed to add or remove the module.
When lt_stat_statements is loaded, it tracks
statistics across all databases of the server. To access and manipulate
these statistics, the module provides a view, pg_stat_statements,
and the utility functions pg_stat_statements_reset and
pg_stat_statements. These are not available globally but
can be enabled for a specific database with
CREATE EXTENSION lt_stat_statements.
pg_stat_statements View
The statistics gathered by the module are made available via a
view named pg_stat_statements. This view
contains one row for each distinct database ID, user ID and query
ID (up to the maximum number of distinct statements that the module
can track). The columns of the view are shown in
Table F.17.
Table F.17. pg_stat_statements Columns
Column Type Description |
|---|
OID of user who executed the statement |
OID of database in which the statement was executed |
Internal hash code, computed from the statement's parse tree |
Text of a representative statement |
Number of times the statement was planned
(if |
Total time spent planning the statement, in milliseconds
(if |
Minimum time spent planning the statement, in milliseconds
(if |
Maximum time spent planning the statement, in milliseconds
(if |
Mean time spent planning the statement, in milliseconds
(if |
Population standard deviation of time spent planning the statement,
in milliseconds
(if |
Number of times the statement was executed |
Total time spent executing the statement, in milliseconds |
Minimum time spent executing the statement, in milliseconds |
Maximum time spent executing the statement, in milliseconds |
Mean time spent executing the statement, in milliseconds |
Population standard deviation of time spent executing the statement, in milliseconds |
Total number of rows retrieved or affected by the statement |
Total number of shared block cache hits by the statement |
Total number of shared blocks read by the statement |
Total number of shared blocks dirtied by the statement |
Total number of shared blocks written by the statement |
Total number of local block cache hits by the statement |
Total number of local blocks read by the statement |
Total number of local blocks dirtied by the statement |
Total number of local blocks written by the statement |
Total number of temp blocks read by the statement |
Total number of temp blocks written by the statement |
Total time the statement spent reading blocks, in milliseconds (if track_io_timing is enabled, otherwise zero) |
Total time the statement spent writing blocks, in milliseconds (if track_io_timing is enabled, otherwise zero) |
Total number of WAL records generated by the statement |
Total number of WAL full page images generated by the statement |
Total amount of WAL generated by the statement in bytes |
For security reasons, only superusers and members of the
pg_read_all_stats role are allowed to see the SQL text and
queryid of queries executed by other users.
Other users can see the statistics, however, if the view has been installed
in their database.
Plannable queries (that is, SELECT, INSERT,
UPDATE, and DELETE) are combined into a single
pg_stat_statements entry whenever they have identical query
structures according to an internal hash calculation. Typically, two
queries will be considered the same for this purpose if they are
semantically equivalent except for the values of literal constants
appearing in the query. Utility commands (that is, all other commands)
are compared strictly on the basis of their textual query strings, however.
When a constant's value has been ignored for purposes of matching the query
to other queries, the constant is replaced by a parameter symbol, such
as $1, in the pg_stat_statements
display.
The rest of the query text is that of the first query that had the
particular queryid hash value associated with the
pg_stat_statements entry.
In some cases, queries with visibly different texts might get merged into a
single pg_stat_statements entry. Normally this will happen
only for semantically equivalent queries, but there is a small chance of
hash collisions causing unrelated queries to be merged into one entry.
(This cannot happen for queries belonging to different users or databases,
however.)
Since the queryid hash value is computed on the
post-parse-analysis representation of the queries, the opposite is
also possible: queries with identical texts might appear as
separate entries, if they have different meanings as a result of
factors such as different search_path settings.
Consumers of pg_stat_statements may wish to use
queryid (perhaps in combination with
dbid and userid) as a more stable
and reliable identifier for each entry than its query text.
However, it is important to understand that there are only limited
guarantees around the stability of the queryid hash
value. Since the identifier is derived from the
post-parse-analysis tree, its value is a function of, among other
things, the internal object identifiers appearing in this representation.
This has some counterintuitive implications. For example,
lt_stat_statements will consider two apparently-identical
queries to be distinct, if they reference a table that was dropped
and recreated between the executions of the two queries.
The hashing process is also sensitive to differences in
machine architecture and other facets of the platform.
Furthermore, it is not safe to assume that queryid
will be stable across major versions of LightDB.
As a rule of thumb, queryid values can be assumed to be
stable and comparable only so long as the underlying server version and
catalog metadata details stay exactly the same. Two servers
participating in replication based on physical WAL replay can be expected
to have identical queryid values for the same query.
However, logical replication schemes do not promise to keep replicas
identical in all relevant details, so queryid will
not be a useful identifier for accumulating costs across a set of logical
replicas. If in doubt, direct testing is recommended.
The parameter symbols used to replace constants in
representative query texts start from the next number after the
highest $n parameter in the original query
text, or $1 if there was none. It's worth noting that in
some cases there may be hidden parameter symbols that affect this
numbering. For example, PL/pgSQL uses hidden parameter
symbols to insert values of function local variables into queries, so that
a PL/pgSQL statement like SELECT i + 1 INTO j
would have representative text like SELECT i + $2.
The representative query texts are kept in an external disk file, and do
not consume shared memory. Therefore, even very lengthy query texts can
be stored successfully. However, if many long query texts are
accumulated, the external file might grow unmanageably large. As a
recovery method if that happens, lt_stat_statements may
choose to discard the query texts, whereupon all existing entries in
the pg_stat_statements view will show
null query fields, though the statistics associated with
each queryid are preserved. If this happens, consider
reducing lt_stat_statements.max to prevent
recurrences.
plans and calls aren't
always expected to match because planning and execution statistics are
updated at their respective end phase, and only for successful operations.
For example, if a statement is successfully planned but fails during
the execution phase, only its planning statistics will be updated.
If planning is skipped because a cached plan is used, only its execution
statistics will be updated.
pg_stat_statements_reset(userid Oid, dbid Oid, queryid bigint) returns void
pg_stat_statements_reset discards statistics
gathered so far by lt_stat_statements corresponding
to the specified userid, dbid
and queryid. If any of the parameters are not
specified, the default value 0(invalid) 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(invalid), it will discard all statistics. By
default, this function can only be executed by superusers. Access may be
granted to others using GRANT.
pg_stat_statements(showtext boolean) returns setof record
The pg_stat_statements view is defined in
terms of a function also named pg_stat_statements.
It is possible for clients to call
the pg_stat_statements 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 lt_stat_statements itself does, and then retrieve
query texts only as needed. Since the server stores query texts in a
file, this approach may reduce physical I/O for repeated examination
of the pg_stat_statements data.
lt_stat_statements.max (integer)
lt_stat_statements.max is the maximum number of
statements tracked by the module (i.e., the maximum number of rows
in the pg_stat_statements view). If more distinct
statements than that are observed, information about the least-executed
statements is discarded.
The default value is 5000.
This parameter can only be set at server start.
lt_stat_statements.track (enum)
lt_stat_statements.track 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.
lt_stat_statements.track_utility (boolean)
lt_stat_statements.track_utility controls whether
utility commands are tracked by the module. Utility commands are
all those other than SELECT, INSERT,
UPDATE and DELETE.
The default value is on.
Only superusers can change this setting.
lt_stat_statements.track_planning (boolean)
lt_stat_statements.track_planning controls 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_statements entries.
The default value is off.
Only superusers can change this setting.
lt_stat_statements.save (boolean)
lt_stat_statements.save specifies whether to
save statement statistics across server shutdowns.
If it is off then statistics are not saved at
shutdown nor reloaded at server start.
The default value is on.
This parameter can only be set in the lightdb.conf
file or on the server command line.
The module requires additional shared memory proportional to
lt_stat_statements.max. Note that this
memory is consumed whenever the module is loaded, even if
lt_stat_statements.track is set to none.
These parameters must be set in lightdb.conf.
Typical usage might be:
# lightdb.conf shared_preload_libraries = 'lt_stat_statements' lt_stat_statements.max = 10000 lt_stat_statements.track = all
bench=# SELECT pg_stat_statements_reset();
$ ltbench -i bench
$ ltbench -c10 -t300 bench
bench=# \x
bench=# SELECT query, calls, total_exec_time, rows, 100.0 * shared_blks_hit /
nullif(shared_blks_hit + shared_blks_read, 0) AS hit_percent
FROM pg_stat_statements ORDER BY total_exec_time DESC LIMIT 5;
-[ RECORD 1 ]---+--------------------------------------------------------------------
query | UPDATE ltbench_branches SET bbalance = bbalance + $1 WHERE bid = $2
calls | 3000
total_exec_time | 25565.855387
rows | 3000
hit_percent | 100.0000000000000000
-[ RECORD 2 ]---+--------------------------------------------------------------------
query | UPDATE ltbench_tellers SET tbalance = tbalance + $1 WHERE tid = $2
calls | 3000
total_exec_time | 20756.669379
rows | 3000
hit_percent | 100.0000000000000000
-[ RECORD 3 ]---+--------------------------------------------------------------------
query | copy ltbench_accounts from stdin
calls | 1
total_exec_time | 291.865911
rows | 100000
hit_percent | 100.0000000000000000
-[ RECORD 4 ]---+--------------------------------------------------------------------
query | UPDATE ltbench_accounts SET abalance = abalance + $1 WHERE aid = $2
calls | 3000
total_exec_time | 271.232977
rows | 3000
hit_percent | 98.8454011741682975
-[ RECORD 5 ]---+--------------------------------------------------------------------
query | alter table ltbench_accounts add primary key (aid)
calls | 1
total_exec_time | 160.588563
rows | 0
hit_percent | 100.0000000000000000
bench=# SELECT pg_stat_statements_reset(0,0,s.queryid) FROM pg_stat_statements AS s
WHERE s.query = 'UPDATE ltbench_branches SET bbalance = bbalance + $1 WHERE bid = $2';
bench=# SELECT query, calls, total_exec_time, rows, 100.0 * shared_blks_hit /
nullif(shared_blks_hit + shared_blks_read, 0) AS hit_percent
FROM pg_stat_statements ORDER BY total_exec_time DESC LIMIT 5;
-[ RECORD 1 ]---+--------------------------------------------------------------------
query | UPDATE ltbench_tellers SET tbalance = tbalance + $1 WHERE tid = $2
calls | 3000
total_exec_time | 20756.669379
rows | 3000
hit_percent | 100.0000000000000000
-[ RECORD 2 ]---+--------------------------------------------------------------------
query | copy ltbench_accounts from stdin
calls | 1
total_exec_time | 291.865911
rows | 100000
hit_percent | 100.0000000000000000
-[ RECORD 3 ]---+--------------------------------------------------------------------
query | UPDATE ltbench_accounts SET abalance = abalance + $1 WHERE aid = $2
calls | 3000
total_exec_time | 271.232977
rows | 3000
hit_percent | 98.8454011741682975
-[ RECORD 4 ]---+--------------------------------------------------------------------
query | alter table ltbench_accounts add primary key (aid)
calls | 1
total_exec_time | 160.588563
rows | 0
hit_percent | 100.0000000000000000
-[ RECORD 5 ]---+--------------------------------------------------------------------
query | vacuum analyze ltbench_accounts
calls | 1
total_exec_time | 136.448116
rows | 0
hit_percent | 99.9201915403032721
bench=# SELECT pg_stat_statements_reset(0,0,0);
bench=# SELECT query, calls, total_exec_time, rows, 100.0 * shared_blks_hit /
nullif(shared_blks_hit + shared_blks_read, 0) AS hit_percent
FROM pg_stat_statements ORDER BY total_exec_time DESC LIMIT 5;
-[ RECORD 1 ]---+-----------------------------------------------------------------------------
query | SELECT pg_stat_statements_reset(0,0,0)
calls | 1
total_exec_time | 0.189497
rows | 1
hit_percent |
-[ RECORD 2 ]---+-----------------------------------------------------------------------------
query | SELECT query, calls, total_exec_time, rows, $1 * shared_blks_hit / +
| nullif(shared_blks_hit + shared_blks_read, $2) AS hit_percent+
| FROM pg_stat_statements ORDER BY total_exec_time DESC LIMIT $3
calls | 0
total_exec_time | 0
rows | 0
hit_percent |
Takahiro Itagaki <itagaki.takahiro@oss.ntt.co.jp>.
Query normalization added by Peter Geoghegan <peter@2ndquadrant.com>.