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SELECT

The SELECT statement is used to read data from TiDB.

Synopsis

SelectStmt:

SelectStmt

FromDual:

FromDual

WhereClauseOptional:

WhereClauseOptional

SelectStmtOpts:

SelectStmtOpts

SelectStmtFieldList:

SelectStmtFieldList

TableRefsClause:

TableRefsClause

WhereClauseOptional:

WhereClauseOptional

SelectStmtGroup:

SelectStmtGroup

HavingClause:

HavingClause

OrderByOptional:

OrderByOptional

SelectStmtLimit:

SelectStmtLimit

FirstOrNext:

FirstOrNext

FetchFirstOpt:

FetchFirstOpt

RowOrRows:

RowOrRows

SelectLockOpt:

SelectLockOpt

WindowClauseOptional

WindowClauseOptional

Description of the syntax elements

Syntax ElementDescription
TableOptimizerHintsThis is the hint to control the behavior of TiDB's optimizer. For more information, refer to Optimizer Hints.
ALL, DISTINCT, DISTINCTROWThe ALL, DISTINCT/DISTINCTROW modifiers specify whether duplicate rows should be returned. ALL (the default) specifies that all matching rows should be returned.
HIGH_PRIORITYHIGH_PRIORITY gives the current statement higher priority than other statements.
SQL_CALC_FOUND_ROWSTo guarantee compatibility with MySQL, TiDB parses this syntax, but will ignore it.
SQL_CACHE, SQL_NO_CACHESQL_CACHE and SQL_NO_CACHE are used to control whether to cache the request results to the BlockCache of TiKV (RocksDB). For a one-time query on a large amount of data, such as the count(*) query, it is recommended to fill in SQL_NO_CACHE to avoid flushing the hot user data in BlockCache.
STRAIGHT_JOINSTRAIGHT_JOIN forces the optimizer to do a union query in the order of the tables used in the FROM clause. When the optimizer chooses a join order that is not good, you can use this syntax to speed up the execution of the query.
select_exprEach select_expr indicates a column to retrieve. including the column names and expressions. \* represents all the columns.
FROM table_referencesThe FROM table_references clause indicates the table (such as select * from t;), or tables (such as select * from t1 join t2;) or even 0 tables (such as select 1+1 from dual; which is equivalent to select 1+1;) from which to retrieve rows.
WHERE where_conditionThe WHERE clause, if given, indicates the condition or conditions that rows must satisfy to be selected. The result contains only the data that meets the condition(s).
GROUP BYThe GROUP BY statement is used to group the result-set.
HAVING where_conditionThe HAVING clause and the WHERE clause are both used to filter the results. The HAVING clause filters the results of GROUP BY, while the WHERE clause filter the results before aggregation.
ORDER BYThe ORDER BY clause is used to sort the data in ascending or descending order, based on columns, expressions or items in the select_expr list.
LIMITThe LIMIT clause can be used to constrain the number of rows. LIMIT takes one or two numeric arguments. With one argument, the argument specifies the maximum number of rows to return, the first row to return is the first row of the table by default; with two arguments, the first argument specifies the offset of the first row to return, and the second specifies the maximum number of rows to return. TiDB also supports the FETCH FIRST/NEXT n ROW/ROWS ONLY syntax, which has the same effect as LIMIT n. You can omit n in this syntax and its effect is the same as LIMIT 1.
Window window_definitionThis is the syntax for window function, which is usually used to do some analytical computation. For more information, refer to Window Function.
FOR UPDATEThe SELECT FOR UPDATE clause locks all the data in the result sets to detect concurrent updates from other transactions. Data that match the query conditions but do not exist in the result sets are not read-locked, such as the row data written by other transactions after the current transaction is started. TiDB uses the Optimistic Transaction Model. The transaction conflicts are not detected in the statement execution phase. Therefore, the current transaction does not block other transactions from executing UPDATE, DELETE or SELECT FOR UPDATE like other databases such as PostgreSQL. In the committing phase, the rows read by SELECT FOR UPDATE are committed in two phases, which means they can also join the conflict detection. If write conflicts occur, the commit fails for all transactions that include the SELECT FOR UPDATE clause. If no conflict is detected, the commit succeeds. And a new version is generated for the locked rows, so that write conflicts can be detected when other uncommitted transactions are being committed later. When using pessimistic transaction model, the behavior is basically the same as other databases. Refer to Difference with MySQL InnoDB to see the details.
LOCK IN SHARE MODETo guarantee compatibility, TiDB parses these three modifiers, but will ignore them.

Examples

mysql> CREATE TABLE t1 (id INT NOT NULL PRIMARY KEY AUTO_INCREMENT, c1 INT NOT NULL);
Query OK, 0 rows affected (0.11 sec)

mysql> INSERT INTO t1 (c1) VALUES (1),(2),(3),(4),(5);
Query OK, 5 rows affected (0.03 sec)
Records: 5  Duplicates: 0  Warnings: 0

mysql> SELECT * FROM t1;
+----+----+
| id | c1 |
+----+----+
|  1 |  1 |
|  2 |  2 |
|  3 |  3 |
|  4 |  4 |
|  5 |  5 |
+----+----+
5 rows in set (0.00 sec)

MySQL compatibility

This statement is understood to be fully compatible with MySQL. Any compatibility differences should be reported via an issue on GitHub.

See also