ANALYZE_STATUS
ANALYZE_STATUS 表提供正在执行的收集统计信息的任务以及有限条历史任务记录。
从 TiDB v6.1.0 起，ANALYZE_STATUS 表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，ANALYZE_STATUS 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，可以通过系统表 mysql.analyze_jobs 查看过去 7 天内的历史任务记录。
USE information_schema;
DESC analyze_status;
+----------------------+---------------------+------+------+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+----------------------+---------------------+------+------+---------+-------+
| TABLE_SCHEMA | varchar(64) | YES | | NULL | |
| TABLE_NAME | varchar(64) | YES | | NULL | |
| PARTITION_NAME | varchar(64) | YES | | NULL | |
| JOB_INFO | longtext | YES | | NULL | |
| PROCESSED_ROWS | bigint(64) unsigned | YES | | NULL | |
| START_TIME | datetime | YES | | NULL | |
| END_TIME | datetime | YES | | NULL | |
| STATE | varchar(64) | YES | | NULL | |
| FAIL_REASON | longtext | YES | | NULL | |
| INSTANCE | varchar(512) | YES | | NULL | |
| PROCESS_ID | bigint(64) unsigned | YES | | NULL | |
| REMAINING_SECONDS | bigint(64) unsigned | YES | | NULL | |
| PROGRESS | varchar(20) | YES | | NULL | |
| ESTIMATED_TOTAL_ROWS | bigint(64) unsigned | YES | | NULL | |
+----------------------+---------------------+------+------+---------+-------+
14 rows in set (0.00 sec)
SELECT * FROM information_schema.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 |
| test | t | p1 | analyze table all columns with 256 buckets, 500 topn, 1 samplerate | 1000000 | 2022-05-27 11:30:12 | 2022-05-27 11:40:12 | running | NULL | 127.0.0.1:4000 | 690208308 | 600s | 0.25 | 4000000 |
+--------------+------------+----------------+--------------------------------------------------------------------+----------------+---------------------+---------------------+----------+-------------+----------------+------------+----------------------+----------+-----------------------+
6 rows in set (0.00 sec)
ANALYZE_STATUS 表中列的含义如下：
TABLE_SCHEMA：表所属的数据库的名称。TABLE_NAME：表的名称。PARTITION_NAME：分区表的名称。JOB_INFO：ANALYZE任务的信息。如果分析索引，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：已经处理的行数。START_TIME：ANALYZE任务的开始时间。END_TIME：ANALYZE任务的结束时间。STATE：ANALYZE任务的执行状态。其值可以是pending、running、finished或者failed。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。REMAINING_SECONDS：执行任务预计还需要多少秒才能完成。PROGRESS：执行任务的进度。ESTIMATED_TOTAL_ROWS：执行任务需要分析的总行数。