From c666f0586160ffc83c66706b70ce35e7fde6712f Mon Sep 17 00:00:00 2001 From: Kolbe Kegel Date: Thu, 9 Sep 2021 00:04:40 -0700 Subject: [PATCH] performance_schema -> information_schema (#6418) --- statement-summary-tables.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/statement-summary-tables.md b/statement-summary-tables.md index fbc448e7a7e26..a67732c0f8a9b 100644 --- a/statement-summary-tables.md +++ b/statement-summary-tables.md @@ -8,7 +8,7 @@ aliases: ['/docs/dev/statement-summary-tables/','/docs/dev/reference/performance To better handle SQL performance issues, MySQL has provided [statement summary tables](https://dev.mysql.com/doc/refman/5.6/en/statement-summary-tables.html) in `performance_schema` to monitor SQL with statistics. Among these tables, `events_statements_summary_by_digest` is very useful in locating SQL problems with its abundant fields such as latency, execution times, rows scanned, and full table scans. -Therefore, starting from v4.0.0-rc.1, TiDB provides system tables in `information_schema`. These system tables are similar to `events_statements_summary_by_digest` in terms of features. +Therefore, starting from v4.0.0-rc.1, TiDB provides system tables in `information_schema` (_not_ `performance_schema`) that are similar to `events_statements_summary_by_digest` in terms of features. - [`statements_summary`](#statements_summary) - [`statements_summary_history`](#statements_summary_history) @@ -20,7 +20,7 @@ This document details these tables and introduces how to use them to troubleshoo ## `statements_summary` -`statements_summary` is a system table in `performance_schema`. `statements_summary` groups the SQL statements by the SQL digest and the plan digest, and provides statistics for each SQL category. +`statements_summary` is a system table in `information_schema`. `statements_summary` groups the SQL statements by the SQL digest and the plan digest, and provides statistics for each SQL category. The "SQL digest" here means the same as used in slow logs, which is a unique identifier calculated through normalized SQL statements. The normalization process ignores constant, blank characters, and is case insensitive. Therefore, statements with consistent syntaxes have the same digest. For example: