TIDB_HOT_REGIONS_HISTORY

The TIDB_HOT_REGIONS_HISTORY table provides information about history hot Regions that are periodically recorded locally by PD.

Note

This table is not available on TiDB Cloud Serverless clusters.

By default, the record interval is 10 minutes, and the period for reserving history information about hot Regions is 7 days.

USE information_schema;
DESC tidb_hot_regions_history;

+-------------+--------------+------+------+---------+-------+
| Field       | Type         | Null | Key  | Default | Extra |
+-------------+--------------+------+------+---------+-------+
| UPDATE_TIME | timestamp(6) | YES  |      | NULL    |       |
| DB_NAME     | varchar(64)  | YES  |      | NULL    |       |
| TABLE_NAME  | varchar(64)  | YES  |      | NULL    |       |
| TABLE_ID    | bigint(21)   | YES  |      | NULL    |       |
| INDEX_NAME  | varchar(64)  | YES  |      | NULL    |       |
| INDEX_ID    | bigint(21)   | YES  |      | NULL    |       |
| REGION_ID   | bigint(21)   | YES  |      | NULL    |       |
| STORE_ID    | bigint(21)   | YES  |      | NULL    |       |
| PEER_ID     | bigint(21)   | YES  |      | NULL    |       |
| IS_LEARNER  | tinyint(1)   | NO   |      | 0       |       |
| IS_LEADER   | tinyint(1)   | NO   |      | 0       |       |
| TYPE        | varchar(64)  | YES  |      | NULL    |       |
| HOT_DEGREE  | bigint(21)   | YES  |      | NULL    |       |
| FLOW_BYTES  | double       | YES  |      | NULL    |       |
| KEY_RATE    | double       | YES  |      | NULL    |       |
| QUERY_RATE  | double       | YES  |      | NULL    |       |
+-------------+--------------+------+------+---------+-------+
16 rows in set (0.00 sec)

The fields in the TIDB_HOT_REGIONS_HISTORY table are described as follows:

UPDATE_TIME: The update time of the hot Region.
DB_NAME: The database name of the object in which the hot Region is located.
TABLE_ID: The ID of the table in which the hot Region is located.
TABLE_NAME: The name of the table in which the hot Region is located.
INDEX_NAME: The name of the index in which the hot Region is located.
INDEX_ID: The ID of the index in which the hot Region is located.
REGION_ID: The ID of the hot Region.
STORE_ID: The ID of the store in which the hot Region is located.
PEER_ID: The ID of the Peer corresponding to the hot Region.
IS_LEARNER: Whether the PEER is the LEARNER.
IS_LEADER: Whether the PEER is the LEADER.
TYPE: The type of the hot Region.
HOT_DEGREE: The hot degree of the hot Region.
FLOW_BYTES: The number of bytes written and read in the Region.
KEY_RATE: The number of keys written and read in the Region.
QUERY_RATE: The number of queries written and read in the Region.

Note

UPDATE_TIME, REGION_ID, STORE_ID, PEER_ID, IS_LEARNER, IS_LEADER and TYPE fields are pushed down to the PD servers for execution. To reduce the overhead of using the table, you must specify the time range for the search, and specify as many conditions as possible. For example, select * from tidb_hot_regions_history where store_id = 11 and update_time > '2020-05-18 20:40:00' and update_time < '2020-05-18 21:40:00' and type='write'.

Common user scenarios

Query hot Regions within a specific period of time. Replace update_time with your actual time.
```
SELECT * FROM INFORMATION_SCHEMA.TIDB_HOT_REGIONS_HISTORY WHERE update_time >'2021-08-18 21:40:00' and update_time <'2021-09-19 00:00:00';
```
Note
UPDATE_TIME also supports Unix timestamps. For example, update_time >TIMESTAMP('2021-08-18 21:40:00') or update_time > FROM_UNIXTIME(1629294000.000).

Query hot Regions in a table within a specific period of time. Replace update_time and table_name with your actual values.

SELECT * FROM INFORMATION_SCHEMA.TIDB_HOT_REGIONS_HISTORY WHERE update_time >'2021-08-18 21:40:00' and update_time <'2021-09-19 00:00:00' and TABLE_NAME = 'table_name';

Query the distribution of hot Regions within a specific period of time. Replace update_time and table_name with your actual values.

SELECT count(region_id) cnt, store_id FROM INFORMATION_SCHEMA.TIDB_HOT_REGIONS_HISTORY WHERE update_time >'2021-08-18 21:40:00' and update_time <'2021-09-19 00:00:00' and table_name = 'table_name' GROUP BY STORE_ID ORDER BY cnt DESC;

Query the distribution of hot Leader Regions within a specific period of time. Replace update_time and table_name with your actual values.

SELECT count(region_id) cnt, store_id FROM INFORMATION_SCHEMA.TIDB_HOT_REGIONS_HISTORY WHERE update_time >'2021-08-18 21:40:00' and update_time <'2021-09-19 00:00:00' and table_name = 'table_name' and is_leader=1 GROUP BY STORE_ID ORDER BY cnt DESC;

Query the distribution of hot Index Regions within a specific period of time. Replace update_time and table_name with your actual values.

SELECT count(region_id) cnt, index_name, store_id FROM INFORMATION_SCHEMA.TIDB_HOT_REGIONS_HISTORY WHERE update_time >'2021-08-18 21:40:00' and update_time <'2021-09-19 00:00:00' and table_name = 'table_name' group by index_name, store_id order by index_name,cnt desc;

Query the distribution of hot Index Leader Regions within a specific period of time. Replace update_time and table_name with your actual values.

SELECT count(region_id) cnt, index_name, store_id FROM INFORMATION_SCHEMA.TIDB_HOT_REGIONS_HISTORY WHERE update_time >'2021-08-18 21:40:00' and update_time <'2022-09-19 00:00:00' and table_name = 'table_name' and is_leader=1 group by index_name, store_id order by index_name,cnt desc;

Was this page helpful?

Request docs changes Ask the community