264 lines
10 KiB
YAML
264 lines
10 KiB
YAML
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pg_replication:
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query: "SELECT CASE WHEN NOT pg_is_in_recovery() THEN 0 ELSE GREATEST (0, EXTRACT(EPOCH FROM (now() - pg_last_xact_replay_timestamp()))) END AS lag"
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master: true
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metrics:
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- lag:
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usage: "GAUGE"
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description: "Replication lag behind master in seconds"
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pg_postmaster:
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query: "SELECT pg_postmaster_start_time as start_time_seconds from pg_postmaster_start_time()"
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master: true
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metrics:
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- start_time_seconds:
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usage: "GAUGE"
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description: "Time at which postmaster started"
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pg_stat_user_tables:
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query: |
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SELECT
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current_database() datname,
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schemaname,
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relname,
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seq_scan,
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seq_tup_read,
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idx_scan,
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idx_tup_fetch,
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n_tup_ins,
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n_tup_upd,
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n_tup_del,
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n_tup_hot_upd,
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n_live_tup,
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n_dead_tup,
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n_mod_since_analyze,
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COALESCE(last_vacuum, '1970-01-01Z') as last_vacuum,
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COALESCE(last_autovacuum, '1970-01-01Z') as last_autovacuum,
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COALESCE(last_analyze, '1970-01-01Z') as last_analyze,
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COALESCE(last_autoanalyze, '1970-01-01Z') as last_autoanalyze,
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vacuum_count,
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autovacuum_count,
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analyze_count,
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autoanalyze_count
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FROM
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pg_stat_user_tables
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metrics:
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- datname:
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usage: "LABEL"
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description: "Name of current database"
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- schemaname:
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usage: "LABEL"
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description: "Name of the schema that this table is in"
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- relname:
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usage: "LABEL"
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description: "Name of this table"
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- seq_scan:
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usage: "COUNTER"
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description: "Number of sequential scans initiated on this table"
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- seq_tup_read:
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usage: "COUNTER"
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description: "Number of live rows fetched by sequential scans"
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- idx_scan:
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usage: "COUNTER"
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description: "Number of index scans initiated on this table"
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- idx_tup_fetch:
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usage: "COUNTER"
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description: "Number of live rows fetched by index scans"
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- n_tup_ins:
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usage: "COUNTER"
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description: "Number of rows inserted"
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- n_tup_upd:
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usage: "COUNTER"
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description: "Number of rows updated"
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- n_tup_del:
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usage: "COUNTER"
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description: "Number of rows deleted"
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- n_tup_hot_upd:
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usage: "COUNTER"
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description: "Number of rows HOT updated (i.e., with no separate index update required)"
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- n_live_tup:
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usage: "GAUGE"
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description: "Estimated number of live rows"
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- n_dead_tup:
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usage: "GAUGE"
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description: "Estimated number of dead rows"
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- n_mod_since_analyze:
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usage: "GAUGE"
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description: "Estimated number of rows changed since last analyze"
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- last_vacuum:
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usage: "GAUGE"
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description: "Last time at which this table was manually vacuumed (not counting VACUUM FULL)"
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- last_autovacuum:
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usage: "GAUGE"
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description: "Last time at which this table was vacuumed by the autovacuum daemon"
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- last_analyze:
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usage: "GAUGE"
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description: "Last time at which this table was manually analyzed"
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- last_autoanalyze:
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usage: "GAUGE"
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description: "Last time at which this table was analyzed by the autovacuum daemon"
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- vacuum_count:
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usage: "COUNTER"
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description: "Number of times this table has been manually vacuumed (not counting VACUUM FULL)"
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- autovacuum_count:
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usage: "COUNTER"
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description: "Number of times this table has been vacuumed by the autovacuum daemon"
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- analyze_count:
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usage: "COUNTER"
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description: "Number of times this table has been manually analyzed"
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- autoanalyze_count:
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usage: "COUNTER"
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description: "Number of times this table has been analyzed by the autovacuum daemon"
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pg_statio_user_tables:
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query: "SELECT current_database() datname, schemaname, relname, heap_blks_read, heap_blks_hit, idx_blks_read, idx_blks_hit, toast_blks_read, toast_blks_hit, tidx_blks_read, tidx_blks_hit FROM pg_statio_user_tables"
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metrics:
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- datname:
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usage: "LABEL"
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description: "Name of current database"
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- schemaname:
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usage: "LABEL"
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description: "Name of the schema that this table is in"
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- relname:
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usage: "LABEL"
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description: "Name of this table"
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- heap_blks_read:
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usage: "COUNTER"
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description: "Number of disk blocks read from this table"
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- heap_blks_hit:
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usage: "COUNTER"
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description: "Number of buffer hits in this table"
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- idx_blks_read:
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usage: "COUNTER"
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description: "Number of disk blocks read from all indexes on this table"
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- idx_blks_hit:
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usage: "COUNTER"
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description: "Number of buffer hits in all indexes on this table"
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- toast_blks_read:
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usage: "COUNTER"
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description: "Number of disk blocks read from this table's TOAST table (if any)"
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- toast_blks_hit:
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usage: "COUNTER"
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description: "Number of buffer hits in this table's TOAST table (if any)"
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- tidx_blks_read:
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usage: "COUNTER"
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description: "Number of disk blocks read from this table's TOAST table indexes (if any)"
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- tidx_blks_hit:
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usage: "COUNTER"
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description: "Number of buffer hits in this table's TOAST table indexes (if any)"
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# WARNING: This set of metrics can be very expensive on a busy server as every unique query executed will create an additional time series
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pg_stat_statements:
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query: "SELECT t2.rolname, t3.datname, queryid, calls, ( total_plan_time + total_exec_time ) / 1000 as total_time_seconds, ( min_plan_time + min_exec_time ) / 1000 as min_time_seconds, ( max_plan_time + max_exec_time ) / 1000 as max_time_seconds, ( mean_plan_time + mean_exec_time ) / 1000 as mean_time_seconds, ( stddev_plan_time + stddev_exec_time ) / 1000 as stddev_time_seconds, rows, shared_blks_hit, shared_blks_read, shared_blks_dirtied, shared_blks_written, local_blks_hit, local_blks_read, local_blks_dirtied, local_blks_written, temp_blks_read, temp_blks_written, blk_read_time / 1000 as blk_read_time_seconds, blk_write_time / 1000 as blk_write_time_seconds FROM pg_stat_statements t1 JOIN pg_roles t2 ON (t1.userid=t2.oid) JOIN pg_database t3 ON (t1.dbid=t3.oid) WHERE t2.rolname != 'rdsadmin' AND queryid IS NOT NULL"
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master: true
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metrics:
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- rolname:
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usage: "LABEL"
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description: "Name of user"
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- datname:
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usage: "LABEL"
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description: "Name of database"
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- queryid:
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usage: "LABEL"
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description: "Query ID"
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- calls:
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usage: "COUNTER"
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description: "Number of times executed"
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- total_time_seconds:
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usage: "COUNTER"
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description: "Total time spent in the statement, in milliseconds"
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- min_time_seconds:
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usage: "GAUGE"
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description: "Minimum time spent in the statement, in milliseconds"
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- max_time_seconds:
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usage: "GAUGE"
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description: "Maximum time spent in the statement, in milliseconds"
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- mean_time_seconds:
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usage: "GAUGE"
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description: "Mean time spent in the statement, in milliseconds"
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- stddev_time_seconds:
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usage: "GAUGE"
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description: "Population standard deviation of time spent in the statement, in milliseconds"
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- rows:
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usage: "COUNTER"
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description: "Total number of rows retrieved or affected by the statement"
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- shared_blks_hit:
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usage: "COUNTER"
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description: "Total number of shared block cache hits by the statement"
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- shared_blks_read:
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usage: "COUNTER"
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description: "Total number of shared blocks read by the statement"
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- shared_blks_dirtied:
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usage: "COUNTER"
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description: "Total number of shared blocks dirtied by the statement"
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- shared_blks_written:
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usage: "COUNTER"
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description: "Total number of shared blocks written by the statement"
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- local_blks_hit:
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usage: "COUNTER"
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description: "Total number of local block cache hits by the statement"
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- local_blks_read:
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usage: "COUNTER"
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description: "Total number of local blocks read by the statement"
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- local_blks_dirtied:
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usage: "COUNTER"
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description: "Total number of local blocks dirtied by the statement"
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- local_blks_written:
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usage: "COUNTER"
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description: "Total number of local blocks written by the statement"
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- temp_blks_read:
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usage: "COUNTER"
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description: "Total number of temp blocks read by the statement"
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- temp_blks_written:
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usage: "COUNTER"
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description: "Total number of temp blocks written by the statement"
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- blk_read_time_seconds:
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usage: "COUNTER"
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description: "Total time the statement spent reading blocks, in milliseconds (if track_io_timing is enabled, otherwise zero)"
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- blk_write_time_seconds:
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usage: "COUNTER"
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description: "Total time the statement spent writing blocks, in milliseconds (if track_io_timing is enabled, otherwise zero)"
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pg_process_idle:
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query: |
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WITH
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metrics AS (
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SELECT
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application_name,
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SUM(EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - state_change))::bigint)::float AS process_idle_seconds_sum,
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COUNT(*) AS process_idle_seconds_count
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FROM pg_stat_activity
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WHERE state = 'idle'
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GROUP BY application_name
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),
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buckets AS (
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SELECT
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application_name,
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le,
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SUM(
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CASE WHEN EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - state_change)) <= le
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THEN 1
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ELSE 0
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END
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)::bigint AS bucket
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FROM
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pg_stat_activity,
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UNNEST(ARRAY[1, 2, 5, 15, 30, 60, 90, 120, 300]) AS le
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GROUP BY application_name, le
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ORDER BY application_name, le
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)
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SELECT
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application_name,
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process_idle_seconds_sum as seconds_sum,
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process_idle_seconds_count as seconds_count,
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ARRAY_AGG(le) AS seconds,
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ARRAY_AGG(bucket) AS seconds_bucket
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FROM metrics JOIN buckets USING (application_name)
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GROUP BY 1, 2, 3
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metrics:
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- application_name:
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usage: "LABEL"
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description: "Application Name"
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- seconds:
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usage: "HISTOGRAM"
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description: "Idle time of server processes"
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