PostgreSQLの稼働状況確認用SQL
DB稼働状況の監視と性能解析用のツールは数あれど、やはりSQLを使った状況確認の機会は多いので、PostgreSQLの稼働状況確認時に使用するSQLをまとめた。必要に応じてまた都度追加していきたい。
PostgreSQL 10.11のバージョンでSQLの確認を実施済。バージョンが上がるにつれて便利なシステムカタログが増えているので最新バージョンを触ってみたい。
バージョン
postgres=# select version();
version
----------------------------------------------------------------------------------------------------------
PostgreSQL 10.11 on x86_64-pc-linux-gnu, compiled by gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39), 64-bit
(1 row)
commit数/rollback数の確認
SELECT datname, xact_commit, xact_rollback FROM pg_stat_database;
DB単位のキャッシュヒット率の確認
SELECT datname, round(blks_hit*100/(blks_hit+blks_read), 2) AS cache_hit_ratio
FROM pg_stat_database WHERE blks_read > 0;
TBL単位のキャッシュヒット率の確認
SELECT relname, round(heap_blks_hit*100/(heap_blks_hit+heap_blks_read), 2)
AS cache_hit_ratio FROM pg_statio_user_tables
WHERE heap_blks_read > 0 ORDER BY cache_hit_ratio;
INDEX単位のキャッシュヒット率の確認
SELECT relname, indexrelname, round(idx_blks_hit*100/(idx_blks_hit+idx_blks_read), 2)
AS cache_hit_ratio FROM pg_statio_user_indexes
WHERE idx_blks_read > 0 ORDER BY cache_hit_ratio;
表スキャンあたりの読み取り行数の確認
SELECT relname, seq_scan, seq_tup_read, seq_tup_read/seq_scan AS tup_per_read FROM pg_stat_user_tables
WHERE seq_scan > 0 ORDER BY tup_per_read DESC;
HOT更新の比率の確認
SELECT relname, n_tup_upd, n_tup_hot_upd, round(n_tup_hot_upd*100/n_tup_upd, 2) AS hot_upd_ratio
FROM pg_stat_user_tables WHERE n_tup_upd > 0 ORDER BY hot_upd_ratio;
稼働しているプロセスの確認
SELECT pid, datname, usename, state, backend_type FROM pg_stat_activity;
実行されているSQLの確認
SELECT pid, query_start, substr(query, 0, 50) FROM pg_stat_activity WHERE state='active' ORDER BY query_start;
WALアーカイブの確認
select * from pg_stat_archiver;
デットロック回数の確認
SELECT datname,deadlocks FROM pg_stat_database where datname = 'pgbench';
デットロック状況の確認
SELECT l.pid, l.granted, d.datname, l.locktype, relation, relation::regclass, transactionid, l.mode
FROM pg_locks l LEFT JOIN pg_database d ON l.database = d.oid
WHERE l.pid != pg_backend_pid()
ORDER BY l.pid ;
長時間かかっている処理を確認
SELECT pid, state, wait_event, wait_event_type, (NOW() - xact_start)::INTERVAL(3) AS tx_duration, (NOW() - query_start)::INTERVAL(3) AS sql_duration, query
FROM pg_stat_activity
WHERE pid <> pg_backend_pid() ;
チェックポイント
SELECT
checkpoints_timed,
checkpoints_req,
checkpoint_write_time,
checkpoint_sync_time,
buffers_checkpoint
FROM
pg_stat_bgwriter;
VACUUM
last_vacuum, last_autovacuum でVACUUM, 自動VACUUMがいつ実行されたか、n_dead_tupで不要なタプルが何行削除されたか
SELECT relname,n_live_tup,n_dead_tup,last_autovacuum,autovacuum_count
FROM pg_stat_user_tables;
ANALYZE
SELECT relname,last_analyze,last_autoanalyze,analyze_count,autoanalyze_count
FROM pg_stat_user_tables;
一時ファイルの書き出し
select datname,temp_files,temp_bytes from pg_stat_database;
トータルの実行時間が長いSQL/実行回数が多いSQLを確認。pg_stat_statementsの事前設定が必要。
SELECT datname, SUBSTRING(query, 1, 40) AS query, calls, TRUNC( total_time::NUMERIC, 3 ) AS total_time
FROM pg_stat_statements LEFT OUTER JOIN pg_database ON pg_stat_statements.dbid = pg_database.oid
WHERE datname = 'pgbench'
ORDER BY total_time DESC
LIMIT 5 ;
データベースのサイズを確認
select pg_size_pretty(pg_database_size('pgbench'));
テーブルのサイズを確認
select pg_relation_size('pgbench');
テーブルとインデックスのサイズ合計を確認
select pg_total_relation_size('pgbench');
各テーブルごとのサイズ/タプル数をチェックする
SELECT pgn.nspname, relname, pg_size_pretty(relpages::bigint * 8 * 1024) AS size, CASE WHEN relkind =
't' THEN (SELECT pgd.relname FROM pg_class pgd WHERE pgd.reltoastrelid = pg.oid) WHEN nspname =
'pg_toast' AND relkind = 'i' THEN (SELECT pgt.relname FROM pg_class pgt WHERE SUBSTRING(pgt.relname
FROM 10) = REPLACE(SUBSTRING(pg.relname FROM 10), '_index', '')) ELSE (SELECT pgc.relname FROM
pg_class pgc WHERE pg.reltoastrelid = pgc.oid) END::varchar AS refrelname, CASE WHEN nspname =
'pg_toast' AND relkind = 'i' THEN (SELECT pgts.relname FROM pg_class pgts WHERE pgts.reltoastrelid =
(SELECT pgt.oid FROM pg_class pgt WHERE SUBSTRING(pgt.relname FROM 10) = REPLACE(SUBSTRING(pg.relname
FROM 10), '_index', ''))) END AS relidxrefrelname, relfilenode, relkind, reltuples::bigint, relpages
FROM pg_class pg, pg_namespace pgn WHERE pg.relnamespace = pgn.oid AND pgn.nspname NOT IN
('information_schema', 'pg_catalog') ORDER BY relpages DESC;
各テーブルの行長を取得
select tablename, attname, avg_width from pg_stats;
各テーブル(列単位)の統計情報を確認(pg_statビューを使用)
SELECT * FROM pg_stats WHERE tablename = 'xxxxxxx';
DMLごとの実行回数を取得
select relname, n_tup_ins as insert_cnt, n_tup_upd as update_cnt, n_tup_del as delete_cnt from pg_stat_user_tables;
ディスクソートの実行回数を取得
select datname, temp_files, pg_size_pretty(temp_bytes) as temp_bytes, pg_size_pretty(round(temp_bytes/temp_files,2)) as temp_file_size
from pg_stat_database
where temp_files > 0;
大量の行を読み取っている表スキャンを確認
select relname, seq_scan, seq_tup_read,seq_tup_read/seq_scan as tup_per_read
from pg_stat_user_tables
where seq_scan > 0 order by tup_per_read desc;
dead tupleが多いテーブルを確認
select relname, n_live_tup, n_dead_tup,round(n_dead_tup*100/(n_dead_tup+n_live_tup), 2) as dead_ratio,pg_size_pretty(pg_relation_size(relid))
from pg_stat_user_tables
where n_live_tup > 0
order by dead_ratio desc;
IOに関する情報取得
select * from pg_statio_all_tables;
SQLの総実行回数、総実行時間を確認する(pg_stat_statements)
select substr(query, 0, 160) as query, calls
,(total_time / 1000)::numeric(10,3) as total_time_sec
,(mean_time / 1000)::numeric(10,3) as avg_time_sec
,(min_time / 1000)::numeric(10,3) as min_time_sec
,(max_time / 1000)::numeric(10,3) as max_time_sec
from pg_stat_statements
order by total_time desc
limit 10;
vaccumの進捗状況を確認
select v.pid, v.datname, c.relname, v.phase, v.heap_blks_total, v.heap_blks_scanned, v.heap_blks_vacuumed, v.index_vacuum_count, v.max_dead_tuples, v.num_dead_tuples
from pg_stat_progress_vacuum as v join pg_class as c on v.relid = c.relfilenode ;
テーブルのoidを確認
select relid,relname from pg_stat_all_tables;
アクセス頻度の多いテーブル
select
relname,
coalesce(seq_tup_read,0)+coalesce(idx_tup_fetch,0)+
coalesce(n_tup_ins,0)+coalesce(n_tup_upd,0)+coalesce(n_tup_del,0) as total,
coalesce(seq_tup_read,0)+coalesce(idx_tup_fetch,0) as select,
coalesce(n_tup_ins,0) as insert,
coalesce(n_tup_upd,0) as update,
coalesce(n_tup_del,0) as delete
from pg_stat_user_tables
order by total desc;
I/O回数&キャッシュヒット率
select *,(heap_blks_hit*100) / (heap_blks_read+heap_blks_hit) as ritu
from pg_statio_all_tables
where heap_blks_hit >= 1
order by ritu;
インデックス毎のアクセスに関する統計情報を確認
select * from pg_stat_all_indexes;
パラメータ一覧と反映タイミング
SELECT name,setting,unit,context FROM pg_settings;
internal:変更不可(構築時設定確認用)
postmaster:サーバ起動時
sighup:設定ファイルの再読み込み
backend:セッション確立時に決定
superuser:スーパユーザ権限で動的変更可能
user:一般ユーザで動的変更可能
参考:
稼動統計情報を活用しよう by Let’s Postgres PGECons 2018年度WG3活動報告書 性能トラブル調査編 [改訂新版]内部構造から学ぶPostgreSQL 設計・運用計画の鉄則 PostgreSQL徹底入門 第4版 参考資料ダウンロード(LPI-JAPAN OSS-DB) OSS-DB Exam Gold技術解説無料セミナー
関連しているかもしれない記事
- PostgreSQLのログ分析ツール pgBadgerを試す
- PostgreSQLのLogical Decodingについて
- EC2(Amazon Linux2)にPostgreSQLをインストールする
- PostgreSQLで論理レプリケーションするテーブルを追加
- Aurora(PostgreSQL)とRDS(PostgreSQL)の環境で論理レプリケーションする