| title | summary | aliases | |
|---|---|---|---|
SHOW ANALYZE STATUS |
TiDB 数据库中 SHOW ANALYZE STATUS 的使用概况。 |
|
SHOW ANALYZE STATUS 语句提供 TiDB 正在执行的统计信息收集任务以及有限条历史任务记录。
从 TiDB v6.1.0 起，执行 SHOW ANALYZE STATUS 语句将显示集群级别的任务，且 TiDB 重启后仍能看到重启之前的任务记录。在 TiDB v6.1.0 之前，执行 SHOW ANALYZE STATUS 语句仅显示实例级别的任务，且 TiDB 重启后任务记录会被清空。
从 TiDB v6.1.0 起，你可以通过系统表 mysql.analyze_jobs 查看过去 7 天内的历史记录。
从 TiDB v7.3.0 起，你可以通过系统表 mysql.analyze_jobs 或者 SHOW ANALYZE STATUS 查看当前 ANALYZE 任务的进度。
目前，SHOW ANALYZE STATUS 语句返回以下列：
| 列名 | 说明 |
|---|---|
Table_schema |
数据库名 |
Table_name |
表名 |
Partition_name |
分区名 |
Job_info |
任务具体信息。当收集索引的统计信息时，该信息会包含索引名。当 tidb_analyze_version = 2 时，该信息会包含采样率等配置项。 |
Processed_rows |
已经 ANALYZE 的行数 |
Start_time |
任务开始执行的时间 |
End_time |
任务结束执行的时间 |
State |
任务状态，包括 pending（等待）、running（正在执行）、finished（执行成功）和 failed（执行失败） |
Fail_reason |
任务失败的原因。如果执行成功则为 NULL。 |
Instance |
执行任务的 TiDB 实例 |
Process_id |
执行任务的 process ID |
ShowAnalyzeStatusStmt ::= 'SHOW' 'ANALYZE' 'STATUS' ShowLikeOrWhereOpt
ShowLikeOrWhereOpt ::= 'LIKE' SimpleExpr | 'WHERE' Expression
mysql> create table t(x int, index idx(x)) partition by hash(x) partitions 2;
Query OK, 0 rows affected (0.69 sec)
mysql> set @@tidb_analyze_version = 1;
Query OK, 0 rows affected (0.00 sec)
mysql> analyze table t;
Query OK, 0 rows affected (0.20 sec)
mysql> show analyze status;
+--------------+------------+----------------+-------------------+----------------+---------------------+---------------------+----------+-------------+----------------+------------+------------------+----------+---------------------+
| Table_schema | Table_name | Partition_name | Job_info | Processed_rows | Start_time | End_time | State | Fail_reason | Instance | Process_ID | Remaining_seconds| Progress | Estimated_total_rows|
+--------------+------------+----------------+-------------------+----------------+---------------------+---------------------+----------+-------------+----------------+------------+------------------+----------+---------------------+
| test | t | p1 | analyze index idx | 0 | 2022-05-27 11:29:46 | 2022-05-27 11:29:46 | finished | NULL | 127.0.0.1:4000 | NULL | NULL | NULL | NULL |
| test | t | p0 | analyze index idx | 0 | 2022-05-27 11:29:46 | 2022-05-27 11:29:46 | finished | NULL | 127.0.0.1:4000 | NULL | NULL | NULL | NULL |
| test | t | p1 | analyze columns | 0 | 2022-05-27 11:29:46 | 2022-05-27 11:29:46 | finished | NULL | 127.0.0.1:4000 | NULL | NULL | NULL | NULL |
| test | t | p0 | analyze columns | 0 | 2022-05-27 11:29:46 | 2022-05-27 11:29:46 | finished | NULL | 127.0.0.1:4000 | NULL | NULL | NULL | NULL |
| test | t1 | p0 | analyze columns | 28523259 | 2022-05-27 11:29:46 | 2022-05-27 11:29:46 | running | NULL | 127.0.0.1:4000 | 690208308 | 0s | 0.9843 | 28978290 |
+--------------+------------+----------------+-------------------+----------------+---------------------+---------------------+----------+-------------+----------------+------------+------------------+----------+---------------------+
4 rows in set (0.01 sec)
mysql> set @@tidb_analyze_version = 2;
Query OK, 0 rows affected (0.00 sec)
mysql> analyze table t;
Query OK, 0 rows affected, 2 warnings (0.03 sec)
mysql> show analyze status;
+--------------+------------+----------------+--------------------------------------------------------------------+----------------+---------------------+---------------------+----------+-------------+----------------+------------+--------------------+----------+----------------------+
| Table_schema | Table_name | Partition_name | Job_info | Processed_rows | Start_time | End_time | State | Fail_reason | Instance | Process_ID | Remaining_seconds | Progress | Estimated_total_rows |
+--------------+------------+----------------+--------------------------------------------------------------------+----------------+---------------------+---------------------+----------+-------------+----------------+------------+--------------------+----------+----------------------+
| test | t | p1 | analyze table all columns with 256 buckets, 500 topn, 1 samplerate | 0 | 2022-05-27 11:30:12 | 2022-05-27 11:30:12 | finished | NULL | 127.0.0.1:4000 | NULL | NULL | NULL | NULL |
| test | t | p0 | analyze table all columns with 256 buckets, 500 topn, 1 samplerate | 0 | 2022-05-27 11:30:12 | 2022-05-27 11:30:12 | finished | NULL | 127.0.0.1:4000 | NULL | NULL | NULL | NULL |
| test | t | p1 | analyze index idx | 0 | 2022-05-27 11:29:46 | 2022-05-27 11:29:46 | finished | NULL | 127.0.0.1:4000 | NULL | NULL | NULL | NULL |
| test | t | p0 | analyze index idx | 0 | 2022-05-27 11:29:46 | 2022-05-27 11:29:46 | finished | NULL | 127.0.0.1:4000 | NULL | NULL | NULL | NULL |
| test | t | p1 | analyze columns | 0 | 2022-05-27 11:29:46 | 2022-05-27 11:29:46 | finished | NULL | 127.0.0.1:4000 | NULL | NULL | NULL | NULL |
| test | t | p0 | analyze columns | 0 | 2022-05-27 11:29:46 | 2022-05-27 11:29:46 | finished | NULL | 127.0.0.1:4000 | NULL | NULL | NULL | NULL |
+--------------+------------+----------------+--------------------------------------------------------------------+----------------+---------------------+---------------------+----------+-------------+----------------+------------+--------------------+----------+----------------------+
6 rows in set (0.00 sec)该语句是 TiDB 对 MySQL 语法的扩展。