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SHOW TABLE REGIONS

The SHOW TABLE REGIONS statement is used to show the Region information of a table in TiDB.

Syntax

SHOW TABLE [table_name] REGIONS [WhereClauseOptional];
SHOW TABLE [table_name] INDEX [index_name] REGIONS [WhereClauseOptional];

Synopsis

ShowTableRegionStmt:

ShowTableRegionStmt

TableName:

TableName

PartitionNameListOpt:

PartitionNameListOpt

WhereClauseOptional:

WhereClauseOptional

WhereClause:

WhereClause

Executing SHOW TABLE REGIONS returns the following columns:

  • REGION_ID: The Region ID.
  • START_KEY: The start key of the Region.
  • END_KEY: The end key of the Region.
  • LEADER_ID: The Leader ID of the Region.
  • LEADER_STORE_ID: The ID of the store (TiKV) where the Region leader is located.
  • PEERS: The IDs of all Region replicas.
  • SCATTERING: Whether the Region is being scheduled. 1 means true.
  • WRITTEN_BYTES: The estimated amount of data written into the Region within one heartbeat cycle. The unit is byte.
  • READ_BYTES: The estimated amount of data read from the Region within one heartbeat cycle. The unit is byte.
  • APPROXIMATE_SIZE(MB): The estimated amount of data in the Region. The unit is megabytes (MB).
  • APPROXIMATE_KEYS: The estimated number of Keys in the Region.

Note:

The values of WRITTEN_BYTES, READ_BYTES, APPROXIMATE_SIZE(MB), APPROXIMATE_KEYS are not accurate data. They are estimated data from PD based on the heartbeat information that PD receives from the Region.

Examples

Create an example table with enough data that fills a few Regions:

CREATE TABLE t1 (
 id INT NOT NULL PRIMARY KEY auto_increment,
 b INT NOT NULL,
 pad1 VARBINARY(1024),
 pad2 VARBINARY(1024),
 pad3 VARBINARY(1024)
);
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM dual;
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, FLOOR(RAND()*1000), RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
SELECT SLEEP(5);
SHOW TABLE t1 REGIONS;

The output should show that the table is split into Regions. The REGION_ID, START_KEY and END_KEY may not match exactly:

...
mysql> SHOW TABLE t1 REGIONS;
+-----------+--------------+--------------+-----------+-----------------+-------+------------+---------------+------------+----------------------+------------------+
| REGION_ID | START_KEY    | END_KEY      | LEADER_ID | LEADER_STORE_ID | PEERS | SCATTERING | WRITTEN_BYTES | READ_BYTES | APPROXIMATE_SIZE(MB) | APPROXIMATE_KEYS |
+-----------+--------------+--------------+-----------+-----------------+-------+------------+---------------+------------+----------------------+------------------+
|        94 | t_75_        | t_75_r_31717 |        95 |               1 | 95    |          0 |             0 |          0 |                  112 |           207465 |
|        96 | t_75_r_31717 | t_75_r_63434 |        97 |               1 | 97    |          0 |             0 |          0 |                   97 |                0 |
|         2 | t_75_r_63434 |              |         3 |               1 | 3     |          0 |     269323514 |   66346110 |                  245 |           162020 |
+-----------+--------------+--------------+-----------+-----------------+-------+------------+---------------+------------+----------------------+------------------+
3 rows in set (0.00 sec)

In the output above, a START_KEY of t_75_r_31717 and END_KEY of t_75_r_63434 shows that data with a PRIMARY KEY between 31717 and 63434 is stored in this Region. The prefix t_75_ indicates that this is the Region for a table (t) which has an internal table ID of 75. An empty key value for START_KEY or END_KEY indicates negative infinity or positive infinity respectively.

TiDB automatically rebalances Regions as needed. For manual rebalancing, use the SPLIT TABLE REGION statement:

mysql> SPLIT TABLE t1 BETWEEN (31717) AND (63434) REGIONS 2;
+--------------------+----------------------+
| TOTAL_SPLIT_REGION | SCATTER_FINISH_RATIO |
+--------------------+----------------------+
|                  1 |                    1 |
+--------------------+----------------------+
1 row in set (42.34 sec)

mysql> SHOW TABLE t1 REGIONS;
+-----------+--------------+--------------+-----------+-----------------+-------+------------+---------------+------------+----------------------+------------------+
| REGION_ID | START_KEY    | END_KEY      | LEADER_ID | LEADER_STORE_ID | PEERS | SCATTERING | WRITTEN_BYTES | READ_BYTES | APPROXIMATE_SIZE(MB) | APPROXIMATE_KEYS |
+-----------+--------------+--------------+-----------+-----------------+-------+------------+---------------+------------+----------------------+------------------+
|        94 | t_75_        | t_75_r_31717 |        95 |               1 | 95    |          0 |             0 |          0 |                  112 |           207465 |
|        98 | t_75_r_31717 | t_75_r_47575 |        99 |               1 | 99    |          0 |          1325 |          0 |                   53 |            12052 |
|        96 | t_75_r_47575 | t_75_r_63434 |        97 |               1 | 97    |          0 |          1526 |          0 |                   48 |                0 |
|         2 | t_75_r_63434 |              |         3 |               1 | 3     |          0 |             0 |   55752049 |                   60 |                0 |
+-----------+--------------+--------------+-----------+-----------------+-------+------------+---------------+------------+----------------------+------------------+
4 rows in set (0.00 sec)

The above output shows that Region 96 was split, with a new Region 98 being created. The remaining Regions in the table were unaffected by the split operation. This is confirmed by the output statistics:

  • TOTAL_SPLIT_REGION indicates the number of newly split Regions. In this example, the number is 1.
  • SCATTER_FINISH_RATIO indicates the rate at which the newly split Regions are successfully scattered. 1.0 means that all Regions are scattered.

For a more detailed example:

mysql> show table t regions;
+-----------+--------------+--------------+-----------+-----------------+---------------+------------+---------------+------------+----------------------+------------------+
| REGION_ID | START_KEY    | END_KEY      | LEADER_ID | LEADER_STORE_ID | PEERS         | SCATTERING | WRITTEN_BYTES | READ_BYTES | APPROXIMATE_SIZE(MB) | APPROXIMATE_KEYS |
+-----------+--------------+--------------+-----------+-----------------+---------------+------------+---------------+------------+----------------------+------------------+
| 102       | t_43_r       | t_43_r_20000 | 118       | 7               | 105, 118, 119 | 0          | 0             | 0          | 1                    | 0                |
| 106       | t_43_r_20000 | t_43_r_40000 | 120       | 7               | 107, 108, 120 | 0          | 23            | 0          | 1                    | 0                |
| 110       | t_43_r_40000 | t_43_r_60000 | 112       | 9               | 112, 113, 121 | 0          | 0             | 0          | 1                    | 0                |
| 114       | t_43_r_60000 | t_43_r_80000 | 122       | 7               | 115, 122, 123 | 0          | 35            | 0          | 1                    | 0                |
| 3         | t_43_r_80000 |              | 93        | 8               | 5, 73, 93     | 0          | 0             | 0          | 1                    | 0                |
| 98        | t_43_        | t_43_r       | 99        | 1               | 99, 100, 101  | 0          | 0             | 0          | 1                    | 0                |
+-----------+--------------+--------------+-----------+-----------------+---------------+------------+---------------+------------+----------------------+------------------+
6 rows in set

In the above example:

  • Table t corresponds to six Regions. In these Regions, 102, 106, 110, 114, and 3 store the row data and 98 stores the index data.
  • For START_KEY and END_KEY of Region 102, t_43 indicates the table prefix and ID. _r is the prefix of the record data in table t. _i is the prefix of the index data.
  • In Region 102, START_KEY and END_KEY mean that record data in the range of [-inf, 20000) is stored. In similar way, the ranges of data storage in Regions (103, 109, 113, 2) can also be calculated.
  • Region 98 stores the index data. The start key of table t's index data is t_43_i, which is in the range of Region 98.

To check the Region that corresponds to table t in store 1, use the WHERE clause:

test> show table t regions where leader_store_id =1;
+-----------+-----------+---------+-----------+-----------------+--------------+------------+---------------+------------+----------------------+------------------+
| REGION_ID | START_KEY | END_KEY | LEADER_ID | LEADER_STORE_ID | PEERS        | SCATTERING | WRITTEN_BYTES | READ_BYTES | APPROXIMATE_SIZE(MB) | APPROXIMATE_KEYS |
+-----------+-----------+---------+-----------+-----------------+--------------+------------+---------------+------------+----------------------+------------------+
| 98        | t_43_     | t_43_r  | 99        | 1               | 99, 100, 101 | 0          | 0             | 0          | 1                    | 0                |
+-----------+-----------+---------+-----------+-----------------+--------------+------------+---------------+------------+----------------------+------------------+

Use SPLIT TABLE REGION to split the index data into Regions. In the following example, the index data name of table t is split into two Regions in the range of [a,z].

test> split table t index name between ("a") and ("z") regions 2;
+--------------------+----------------------+
| TOTAL_SPLIT_REGION | SCATTER_FINISH_RATIO |
+--------------------+----------------------+
| 2                  | 1.0                  |
+--------------------+----------------------+
1 row in set

Now table t corresponds to seven Regions. Five of them (102, 106, 110, 114, 3) store the record data of table t and another two (135, 98) store the index data name.

test> show table t regions;
+-----------+-----------------------------+-----------------------------+-----------+-----------------+---------------+------------+---------------+------------+----------------------+------------------+
| REGION_ID | START_KEY                   | END_KEY                     | LEADER_ID | LEADER_STORE_ID | PEERS         | SCATTERING | WRITTEN_BYTES | READ_BYTES | APPROXIMATE_SIZE(MB) | APPROXIMATE_KEYS |
+-----------+-----------------------------+-----------------------------+-----------+-----------------+---------------+------------+---------------+------------+----------------------+------------------+
| 102       | t_43_r                      | t_43_r_20000                | 118       | 7               | 105, 118, 119 | 0          | 0             | 0          | 1                    | 0                |
| 106       | t_43_r_20000                | t_43_r_40000                | 120       | 7               | 108, 120, 126 | 0          | 0             | 0          | 1                    | 0                |
| 110       | t_43_r_40000                | t_43_r_60000                | 112       | 9               | 112, 113, 121 | 0          | 0             | 0          | 1                    | 0                |
| 114       | t_43_r_60000                | t_43_r_80000                | 122       | 7               | 115, 122, 123 | 0          | 35            | 0          | 1                    | 0                |
| 3         | t_43_r_80000                |                             | 93        | 8               | 73, 93, 128   | 0          | 0             | 0          | 1                    | 0                |
| 135       | t_43_i_1_                   | t_43_i_1_016d80000000000000 | 139       | 2               | 138, 139, 140 | 0          | 35            | 0          | 1                    | 0                |
| 98        | t_43_i_1_016d80000000000000 | t_43_r                      | 99        | 1               | 99, 100, 101  | 0          | 0             | 0          | 1                    | 0                |
+-----------+-----------------------------+-----------------------------+-----------+-----------------+---------------+------------+---------------+------------+----------------------+------------------+
7 rows in set

MySQL compatibility

This statement is a TiDB extension to MySQL syntax.

See also