What's Missing for Postgres Monitoring

Talk at pgcon 2020

Transcript

1. @LukasFittl What’s Missing For Postgres Monitoring
2. @LukasFittl
3. What are the problems with Postgres monitoring?
4. It’s incomplete. It’s hard to access & understand. It contains sensitive information.
5. It’s incomplete. It’s hard to access & understand. It contains sensitive information.
6. Query Planning Active Queries Connection Handling Connection Security Heavyweight Locks Table/Index Access Parallel Query Connections Maintenance CPU, I/O & Memory Query planning Query execution Query Failures Historic Queries WAL Writing Utility Commands Autovacuum Backups Shared resources
7. Query Planning Active Queries Connection Handling Connection Security Heavyweight Locks Table/Index Access Parallel Query Connections Maintenance CPU, I/O & Memory Query planning Query execution Query Failures Historic Queries WAL Writing Utility Commands Autovacuum Backups Shared resources
8. Connection Handling pg_stat_activity Log events Connection received Disconnection Incomplete startup packet (client failed to connect) Could not receive data from client / connection to client lost EOF on client connection with an open transaction Terminating connection due to administrator command Remaining connection slots are reserved for superuser (out of connections) Too many connections for role Could not accept SSL connection Unsupported frontend protocol Incomplete message from client
9. Client-side connection latency What’s Missing Application Query Planning libpq Query Execution Planning Time Execution Time Connection
 Roundtrip
 Time Hard to track from the Postgres server side - could libpq have built-in measurements here? - should \timing in psql give connection time and planning/execution time separately?
10. Connection Security pg_stat_ssl pg_stat_gssapi Log events Connection authorized Authentication failed / pg_hba.conf rejects connection
11. Aggregation of security-relevant Postgres events Which IPs logged in as superuser? How many login failures occurred recently? Which of my pg_hba lines are matching? What’s Missing
12. Query Planning Active Queries Connection Handling Connection Security Heavyweight Locks Table/Index Access Parallel Query Connections Maintenance CPU, I/O & Memory Query planning Query execution Query Failures Historic Queries WAL Writing Utility Commands Autovacuum Backups Shared resources
13. Query Planning EXPLAIN EXPLAIN: Buffers for Planning pg_stat_statements planning time Log events auto_explain New New
14. EXPLAIN: Buffers for Planning New in Postgres 13 QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=0.00..0.03 rows=1 width=86) (actual time=0.446..0.446 rows=1 loops=1) Buffers: shared read=1 -> Append (cost=0.00..103559.88 rows=3406392 width=86) (actual time=0.445..0.446 rows=1 loops=1) Buffers: shared read=1 -> Seq Scan on query_stats_hourlies_60d_20200127 query_stats_hourlies_60d_1 (cost=0.00..527.90 rows=20790 width=86) (actual time=0.440..0.440 rows=1 loops=1) Buffers: shared read=1 -> Seq Scan on query_stats_hourlies_60d_20200128 query_stats_hourlies_60d_2 (cost=0.00..723.93 rows=28493 width=86) (never executed) ... Planning Time: 45.882 ms Buffers: shared hit=8306 read=435 dirtied=10 Execution Time: 0.446 ms (128 rows)
15. pg_stat_statements: Planning Time New in Postgres 13 =# SELECT queryid, substring(query for 40), mean_exec_time, mean_plan_time, max_plan_time FROM pg_stat_statements ORDER BY mean_plan_time LIMIT 5; queryid | substring | mean_exec_time | mean_plan_time | max_plan_time ----------------------+------------------------------------------+--------------------+-------------------+--------------- 586048399314747810 | WITH upsert(backend_id, server_id, ident | 0.440361 | 5.890649 | 5.890649 5426874022189006220 | WITH data(table_id, name, first_snapshot | 18.846979 | 5.452164 | 5.452164 3576712877697568576 | WITH data(table_id, name, first_snapshot | 17.85431479746835 | 5.032493797468352 | 12.714722 -1758450264182311255 | WITH data(table_id, name, first_snapshot | 17.870344956521738 | 4.544071499999999 | 6.236185 -1076182304104233502 | WITH data(table_id, name, first_snapshot | 15.446047395348836 | 3.378207406976743 | 5.378551 (5 rows)
16. Aggregate Plan Statistics What’s Missing Many experimental Postgres extensions (pg_stat_plans, pg_store_plans, pg_stat_sql_plans, etc) Not production ready, or merge-able into Postgres core
17. Query Planning Active Queries Connection Handling Connection Security Heavyweight Locks Table/Index Access Parallel Query Connections Maintenance CPU, I/O & Memory Query planning Query execution Query Failures Historic Queries WAL Writing Utility Commands Autovacuum Backups Shared resources
18. Active Queries pg_stat_activity (state, query_start, xact_start, wait events)
19. Additional & renamed wait events New in Postgres 13 Report wait event for cost-based vacuum delay. Add description about LogicalRewriteTruncate wait event into document. Add description about GSSOpenServer wait event into document. Correct the descriptions of recovery-related wait events in docs. Rename the recovery-related wait events. Add wait events for WAL archive and recovery pause. Add wait events for recovery conflicts. Report missing wait event for timeline history file. Report time spent in posix_fallocate() as a wait event. Drop the redundant "Lock" suffix from LWLock wait event names. Mop-up for wait event naming issues.
20. Breakdown of non-waiting
 active state What’s Missing
21. postgres=# SELECT state, wait_event_type, wait_event, substring(query for 100) FROM pg_stat_activity WHERE backend_type = 'client backend'; state | wait_event_type | wait_event | substring --------+-----------------+------------+------------------------------------------------------------------------------------------------------ active | | | COPY public.log_lines_30d_20200516 (log_line_id, server_id, backend_pid, occurred_at, log_file_id, l active | | | COPY public.log_lines_30d_20200514 (log_line_id, server_id, backend_pid, occurred_at, log_file_id, l active | | | COPY public.log_lines_30d_20200517 (log_line_id, server_id, backend_pid, occurred_at, log_file_id, l active | | | COPY public.log_lines_30d_20200515 (log_line_id, server_id, backend_pid, occurred_at, log_file_id, l active | | | SELECT state, wait_event_type, wait_event, substring(query for 100) FROM pg_stat_activity WHERE back idle | Client | ClientRead | (6 rows)
22. Samples: 379K of event 'cpu-clock:pppH', 4000 Hz, Event count (approx.): 55672843733 lost: 0/0 drop: 15165/199698 Children Self Shared Object Symbol + 58.01% 0.91% postgres [.] CopyFrom + 46.72% 1.54% postgres [.] NextCopyFrom + 23.68% 0.98% postgres [.] InputFunctionCall + 20.72% 5.71% postgres [.] NextCopyFromRawFields + 15.13% 0.03% perf [.] __ordered_events__flush.part.0 + 15.08% 0.03% perf [.] deliver_event + 14.73% 0.02% perf [.] hist_entry_iter__add + 11.81% 0.82% perf [.] iter_add_next_cumulative_entry + 11.60% 0.45% postgres [.] timestamp_in + 8.77% 0.99% postgres [.] DecodeDateTime + 8.36% 0.22% [kernel] [k] do_syscall_64 + 7.29% 0.27% [kernel] [k] __softirqentry_text_start + 6.97% 0.01% [kernel] [k] net_rx_action + 6.54% 0.01% [kernel] [k] ena_io_poll + 6.13% 0.00% libc-2.31.so [.] __libc_start_main perf top -g
23. Samples: 379K of event 'cpu-clock:pppH', 4000 Hz, Event count (approx.): 55672843733 lost: 0/0 drop: 15165/199698 Children Self Shared Object Symbol - 58.01% 0.91% postgres [.] CopyFrom - 7.70% CopyFrom - 11.96% NextCopyFrom + 15.40% NextCopyFromRawFields - 11.65% InputFunctionCall 4.84% uuid_in + 4.26% timestamp_in + 1.70% heap_multi_insert + 0.91% __libc_start_main + 46.72% 1.54% postgres [.] NextCopyFrom + 23.68% 0.98% postgres [.] InputFunctionCall + 20.72% 5.71% postgres [.] NextCopyFromRawFields + 15.13% 0.03% perf [.] __ordered_events__flush.part.0 + 15.08% 0.03% perf [.] deliver_event + 14.73% 0.02% perf [.] hist_entry_iter__add perf top -g
24. Query Progress Monitoring What’s Missing
25. Historic Queries pg_stat_statements Log Events Slow query (log_min_duration_statement) Statement notice (log_statement) auto_explain
26. Better handling of IN(…) lists & other ORM patterns What’s Missing
27. Linking pg_stat_statements with other views & logs What’s Missing
28. Finding queries based on application requests/customers What’s Missing pg_stat_statements has no way of differentiating queries beyond the queried
29. Web Request SQL Statement SQL Statement EXPLAIN Plan Customer Which customers were affected by a slow query? What was the EXPLAIN plan for a SQL query involved in a particular slow web request?
30. Solution for per-customer analysis: “citus_stat_statements” in Citus extension SELECT partition_key as tenant_id, count(*) as tenant_unique_queries, sum(calls) as tenant_total_queries, sum(total_time) as total_query_time FROM citus_stat_statements WHERE partition_key is not null GROUP BY tenant_id ORDER BY tenant_total_queries DESC LIMIT 5; tenant_id | tenant_unique_queries | tenant_total_queries | total_query_time -----------+-----------------------+----------------------+------------------ 12 | 148 | 159295 | 753142.54 2 | 2045 | 23846 | 12957.83 1 | 74 | 9572 | 8492.05 634 | 175 | 12753 | 6876.11 361 | 375 | 3653 | 6422.93 (5 rows)
31. Solution for finding particular web requests: Application adds comments to locate specific queries + auto_explain/log_min_duration_statement /*
 application:pganalyze,
 controller:graphql,
 action:graphql,
 line:/app/services/dataload.rb:39:in `select_rows',
 graphql:getQueryDetailStats,
 request_id:55a6fa2d-9ffe-4374-a535-f5d1ee64ba84
 */
32. Built-in Wait Event Aggregation What’s Missing pg_wait_sampling
33. Parallel Query pg_stat_activity (backend_type = parallel worker) pg_stat_activity (leader_pid) EXPLAIN improvements New New
34. pg_stat_activity:
 leader_pid for Parallel Query New in Postgres 13 # SELECT backend_type, leader_pid, state, wait_event, wait_event_type, query FROM pg_stat_activity WHERE state <> 'idle'; backend_type | leader_pid | state | wait_event | wait_event_type | query -----------------+------------+--------+--------------+-----------------+----------------------------------------------------------------- client backend | 36936 | active | DataFileRead | IO | SELECT * FROM log_lines_30d ORDER BY occurred_at DESC LIMIT 10; parallel worker | 36936 | active | DataFileRead | IO | SELECT * FROM log_lines_30d ORDER BY occurred_at DESC LIMIT 10; parallel worker | 36936 | active | DataFileRead | IO | SELECT * FROM log_lines_30d ORDER BY occurred_at DESC LIMIT 10; (3 rows)
35. EXPLAIN improvements for parallel workers New in Postgres 13 QUERY PLAN ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=2333874.04..2333876.38 rows=20 width=206) (actual time=29049.924..29049.934 rows=20 loops=1) -> Gather Merge (cost=2333874.04..7549291.60 rows=44700458 width=206) (actual time=29046.525..29217.937 rows=20 loops=1) Workers Planned: 2 Workers Launched: 2 -> Sort (cost=2332874.02..2388749.59 rows=22350229 width=206) (actual time=28998.140..28998.143 rows=20 loops=3) Sort Key: log_lines_30d.occurred_at DESC Sort Method: top-N heapsort Memory: 34kB Worker 0: Sort Method: top-N heapsort Memory: 35kB Worker 1: Sort Method: top-N heapsort Memory: 35kB … + JIT Information + JSON format fixes
36. Aggregate information about Effectiveness of Parallel Query What’s Missing Are my queries using parallel query? Are there sufficient workers for parallel query?
37. Query Failures Log Events Canceling statement due to statement timeout Canceling statement due to user request CONTEXT for failure of parameterized queries New
38. CONTEXT for failure of parameterized queries New in Postgres 13 SET log_parameter_max_length_on_error = 1024 ERROR: division by zero STATEMENT: SELECT 1/$1 ERROR: division by zero CONTEXT: extended query with parameters: $1 = '0' STATEMENT: SELECT 1/$1
39. Query Planning Active Queries Connection Handling Connection Security Heavyweight Locks Table/Index Access Parallel Query Connections Maintenance CPU, I/O & Memory Query planning Query execution Query Failures Historic Queries WAL Writing Utility Commands Autovacuum Backups Shared resources
40. Heavyweight Locks pg_locks Log Events Process acquired lock on tuple / relation / object Process still waiting for lock on tuple / relation / object Canceling statement due to lock timeout Deadlock detected (transaction rolled back) Process avoided deadlock by rearranging queue order
41. Aggregate Lock Statistics Difficult to use pg_locks for historic data (e.g. pg_stat_statements lock_wait_time column) What’s Missing
42. Table/Index access pg_stat_all_tables pg_statio_all_tables pg_stat_all_indexes pg_statio_all_indexes
43. Per-statement index scan/seq scan counters pg_stat_statements should have idx_scan and seq_scan counters What’s Missing
44. CPU, I/O and Memory System metrics pg_statio_*. pg_shmem_allocations New
45. Connection memory usage statistics What’s Missing
46. pg_shmem_allocations New in Postgres 13 =# SELECT * FROM pg_shmem_allocations ORDER BY allocated_size DESC; name | off | size | allocated_size -------------------------------------+------------+------------+---------------- Buffer Blocks | 86739584 | 8589934592 | 8589934592 <anonymous> | | 91191424 | 91191424 Buffer Descriptors | 19630720 | 67108864 | 67108864 Buffer IO Locks | 8676674176 | 33554432 | 33554432 Checkpointer Data | 8808573696 | 25165888 | 25165952 Checkpoint BufferIds | 8710228608 | 20971520 | 20971520 XLOG Ctl | 104832 | 16803472 | 16803584 | 8849116416 | 8033024 | 8033024 Xact | 16908800 | 2116320 | 2116352 Backend Activity Buffer | 8807698304 | 541696 | 541696 Subtrans | 19158912 | 267008 | 267008 <= shared_buffers
47. WAL Writing pg_current_wal_lsn Per-statement WAL statistics autovacuum WAL statistics EXPLAIN WAL statistics New New New
48. Per-statement WAL statistics New in Postgres 13 =# SELECT substring(query for 70), wal_records, wal_fpi, wal_bytes FROM pg_stat_statements ORDER BY wal_records DESC; substring | wal_records | wal_fpi | wal_bytes ------------------------------------------------------------------------+-------------+---------+------------- COPY public.log_lines_30d_20200525 (log_line_id, server_id, log_line_p | 13637990 | 1690272 | 11920182549 CREATE TEMPORARY TABLE upsert_data (server_id uuid NOT NULL, backend_i | 8568987 | 5429 | 881673525 COPY activity.query_origins_7d_20200525 (backend_query_id, database_id | 7507811 | 789923 | 5796656931 COPY activity.backend_snapshots_1d_20200525 (collected_at, state, wait | 6909068 | 802625 | 5241077274 CREATE TEMPORARY TABLE upsert_data (server_id uuid NOT NULL, identity | 6541995 | 11087 | 705700102 CREATE TEMPORARY TABLE upsert_data (server_id uuid NOT NULL, identity | 6418566 | 31123 | 771654086 COPY public.log_line_stats_30d_20200525 (log_line_id, server_id, occur | 5338310 | 722396 | 4800621926 DROP TABLE upsert_data | 5056385 | 13 | 269723603 COPY public.log_lines_30d_20200524 (log_line_id, server_id, log_line_p | 3162220 | 496058 | 3261770520 DROP TABLE upsert_data | 2134608 | 6 | 113901008 …
49. autovacuum WAL statistics New in Postgres 13 LOG: automatic vacuum of table “…”: index scans: 1 pages: 0 removed, 75444 remain, 3 skipped due to pins, 0 skipped frozen tuples: 996760 removed, 4210912 remain, 0 are dead but not yet removable, oldest xmin: 1871789 buffer usage: 114171 hits, 1 misses, 21614 dirtied avg read rate: 0.001 MB/s, avg write rate: 20.434 MB/s system usage: CPU: user: 2.42 s, system: 0.03 s, elapsed: 8.26 s WAL usage: 94064 records, 17930 full page images, 34394711 bytes
50. EXPLAIN WAL statistics New in Postgres 13 =# BEGIN; BEGIN =*# EXPLAIN (ANALYZE, WAL) UPDATE backend_counts SET state = state WHERE backend_count_id IN (SELECT backend_count_id FROM backend_counts LIMIT 100); QUERY PLAN -------------------------------------------------------------------------------------------------------------------------------------------------------- Update on backend_counts (cost=4.47..850.04 rows=100 width=139) (actual time=1.049..1.049 rows=0 loops=1) WAL: records=168 fpi=5 bytes=39013 -> Nested Loop (cost=4.47..850.04 rows=100 width=139) (actual time=0.239..0.734 rows=100 loops=1) WAL: records=2 bytes=416 -> HashAggregate (cost=4.04..5.04 rows=100 width=56) (actual time=0.229..0.246 rows=100 loops=1) Group Key: "ANY_subquery".backend_count_id Peak Memory Usage: 45 kB -> Subquery Scan on "ANY_subquery" (cost=0.00..3.79 rows=100 width=56) (actual time=0.014..0.202 rows=100 loops=1) -> Limit (cost=0.00..2.79 rows=100 width=16) (actual time=0.011..0.184 rows=100 loops=1) -> Seq Scan on backend_counts backend_counts_1 (cost=0.00..119801.53 rows=4291453 width=16) (actual time=0.010..0.177 rows= -> Index Scan using backend_counts_pkey on backend_counts (cost=0.43..8.45 rows=1 width=99) (actual time=0.005..0.005 rows=1 loops=100) Index Cond: (backend_count_id = "ANY_subquery".backend_count_id) WAL: records=2 bytes=416
51. Query Planning Active Queries Connection Handling Connection Security Heavyweight Locks Table/Index Access Parallel Query Connections Maintenance CPU, I/O & Memory Query planning Query execution Query Failures Historic Queries WAL Writing Utility Commands Autovacuum Backups Shared resources
52. Utility Commands pg_stat_progress_vacuum pg_stat_progress_analyze pg_stat_progress_cluster pg_stat_progress_create_index New
53. pg_stat_progress_analyze New in Postgres 13 =# SELECT * FROM pg_stat_progress_analyze ; pid | datid | datname | relic | phase | sample_blks_total | sample_blks_scanned | ext_stats_ -------+-------+-------------------+--------+-----------------------+-------------------+---------------------+----------- 36936 | 16400 | pganalyze_staging | 115537 | acquiring sample rows | 30000 | 26756 | (1 row)
54. autovacuum pg_stat_progress_vacuum Log Events Canceling autovacuum task Database must be vacuumed within N transactions (TXID Wraparound Warning) Database is not accepting commands to avoid wraparound data loss Autovacuum launcher started Autovacuum launcher shutting down Automatic vacuum of table completed Skipping vacuum - lock not available
55. Aggregate autovacuum stats (only available in logs) How often a table is being vacuumed Avg runtime of a vacuum # Tuples that couldn’t be removed What’s Missing
56. Backups pg_stat_progress_basebackup New
57. pg_stat_progress_basebackup New in Postgres 13 =# SELECT * FROM pg_stat_progress_basebackup ; pid | phase | backup_total | backup_streamed | tablespaces_total | tablespaces_streamed -------+----------------------------------+--------------+-----------------+-------------------+---------------------- 35397 | waiting for checkpoint to finish | 0 | 0 | 0 | 0 (1 row) =# SELECT *, backup_streamed / backup_total::float * 100 AS pct_done FROM pg_stat_progress_basebackup ; pid | phase | backup_total | backup_streamed | tablespaces_total | tablespaces_streamed | pct_done -------+--------------------------+--------------+-----------------+-------------------+----------------------+------------------- 35397 | streaming database files | 63006018048 | 52671390720 | 1 | 0 | 83.59739648976586 (1 row)
58. What’s Missing 1. Client-side connection latency 2. Aggregation of security-relevant Postgres events 3. Aggregate Plan Statistics 4. Breakdown of non-waiting active state 5. Query Progress Monitoring 6. pgss: Better handling of IN(…) lists & other ORM patterns 7. Linking pg_stat_statements with other views & logs 8. Finding queries based on application requests/customers 9. Built-in Wait Event Aggregation 10. Aggregate information about effectiveness of Parallel Query 11. Aggregate Lock Statistics 12. Per-statement index scan/seq scan counters 13. Connection memory usage statistics 14. Aggregate autovacuum stats
59. 1. EXPLAIN: Buffers for Planning 2. pg_stat_statements: Planning Time 3. Additional & renamed wait events 4. pg_stat_activity: leader_pid for Parallel Query 5. EXPLAIN improvements for parallel workers 6. CONTEXT for failure of parameterized queries 7. pg_shmem_allocations 8. Per-statement WAL statistics 9. autovacuum WAL statistics 10. EXPLAIN WAL statistics 11. pg_stat_progress_analyze 12. pg_stat_progress_basebackup New in Postgres 13
60. Thank you! lukas@fittl.com @LukasFittl