Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtps (TLS1.3:ECDHE_RSA_AES_256_GCM_SHA384:256) (Exim 4.92) (envelope-from ) id 1kUhQn-0007yn-FB for pgsql-hackers@arkaria.postgresql.org; Tue, 20 Oct 2020 02:31:21 +0000 Received: from localhost ([127.0.0.1] helo=malur.postgresql.org) by malur.postgresql.org with esmtp (Exim 4.92) (envelope-from ) id 1kUhQm-00038W-Ei for pgsql-hackers@arkaria.postgresql.org; Tue, 20 Oct 2020 02:31:20 +0000 Received: from magus.postgresql.org ([2a02:c0:301:0:ffff::29]) by malur.postgresql.org with esmtps (TLS1.3:ECDHE_RSA_AES_256_GCM_SHA384:256) (Exim 4.92) (envelope-from ) id 1kUhQm-00038P-5m for pgsql-hackers@lists.postgresql.org; Tue, 20 Oct 2020 02:31:20 +0000 Received: from oss.nttdata.com ([49.212.34.109]) by magus.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_GCM_SHA384:256) (Exim 4.92) (envelope-from ) id 1kUhQi-0002Uj-Kj for pgsql-hackers@postgresql.org; Tue, 20 Oct 2020 02:31:19 +0000 Received: from oss.nttdata.com (localhost [127.0.0.1]) by oss.nttdata.com (Postfix) with ESMTP id 53316601C1 for ; Tue, 20 Oct 2020 11:31:11 +0900 (JST) X-Virus-Status: Clean X-Virus-Scanned: clamav-milter 0.102.3 at oss.nttdata.com MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="=_d9a9b487d04d12d09e05954893458e24" Date: Tue, 20 Oct 2020 11:31:11 +0900 From: Masahiro Ikeda To: pgsql-hackers Subject: Add statistics to pg_stat_wal view for wal related parameter tuning Message-ID: <35ef960128b90bfae3b3fdf60a3a860f@oss.nttdata.com> X-Sender: ikedamsh@oss.nttdata.com User-Agent: Roundcube Webmail/1.1.9 List-Id: List-Help: List-Subscribe: List-Post: List-Owner: List-Archive: Precedence: bulk --=_d9a9b487d04d12d09e05954893458e24 Content-Transfer-Encoding: 8bit Content-Type: text/plain; charset=UTF-8; format=flowed Hi, I think we need to add some statistics to pg_stat_wal view. Although there are some parameter related WAL, there are few statistics for tuning them. I think it's better to provide the following statistics. Please let me know your comments. ``` postgres=# SELECT * from pg_stat_wal; -[ RECORD 1 ]-------+------------------------------ wal_records | 2000224 wal_fpi | 47 wal_bytes | 248216337 wal_buffers_full | 20954 wal_init_file | 8 wal_write_backend | 20960 wal_write_walwriter | 46 wal_write_time | 51 wal_sync_backend | 7 wal_sync_walwriter | 8 wal_sync_time | 0 stats_reset | 2020-10-20 11:04:51.307771+09 ``` 1. Basic statistics of WAL activity - wal_records: Total number of WAL records generated - wal_fpi: Total number of WAL full page images generated - wal_bytes: Total amount of WAL bytes generated To understand DB's performance, first, we will check the performance trends for the entire database instance. For example, if the number of wal_fpi becomes higher, users may tune "wal_compression", "checkpoint_timeout" and so on. Although users can check the above statistics via EXPLAIN, auto_explain, autovacuum and pg_stat_statements now, if users want to see the performance trends for the entire database, they must recalculate the statistics. I think it is useful to add the sum of the basic statistics. 2. WAL segment file creation - wal_init_file: Total number of WAL segment files created. To create a new WAL file may have an impact on the performance of a write-heavy workload generating lots of WAL. If this number is reported high, to reduce the number of this initialization, we can tune WAL-related parameters so that more "recycled" WAL files can be held. 3. Number of when WAL is flushed - wal_write_backend : Total number of WAL data written to the disk by backends - wal_write_walwriter : Total number of WAL data written to the disk by walwriter - wal_sync_backend : Total number of WAL data synced to the disk by backends - wal_sync_walwriter : Total number of WAL data synced to the disk by walwrite I think it's useful for tuning "synchronous_commit" and "commit_delay" for query executions. If the number of WAL is flushed is high, users can know "synchronous_commit" is useful for the workload. Also, it's useful for tuning "wal_writer_delay" and "wal_writer_flush_after" for wal writer. If the number is high, users can change the parameter for performance. 4. Wait time when WAL is flushed - wal_write_time : Total amount of time that has been spent in the portion of WAL data was written to disk by backend and walwriter, in milliseconds (if track-io-timing is enabled, otherwise zero.) - wal_sync_time : Total amount of time that has been spent in the portion of WAL data was synced to disk by backend and walwriter, in milliseconds (if track-io-timing is enabled, otherwise zero.) If the time becomes much higher,　users can detect the possibility of disk failure. Since users can see how much flush time occupies of the query execution time, it may lead to query tuning and so on. 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