title | summary | category |
---|---|---|
TiDB Transaction Isolation Levels |
Learn about the transaction isolation levels in TiDB. |
user guide |
Transaction isolation is one of the foundations of database transaction processing. Isolation is the I in the acronym ACID (Atomicity, Consistency, Isolation, Durability), which represents the isolation property of database transactions.
The SQL-92 standard defines four levels of transaction isolation: Read Uncommitted, Read Committed, Repeatable Read and Serializable. See the following table for details:
Isolation Level | Dirty Read | Nonrepeatable Read | Phantom Read | Serialization Anomaly |
---|---|---|---|---|
Read Uncommitted | Possible | Possible | Possible | Possible |
Read Committed | Not possible | Possible | Possible | Possible |
Repeatable Read | Not possible | Not possible | Not possible in TiDB | Possible |
Serializable | Not possible | Not possible | Not possible | Not possible |
TiDB offers the Repeatable Read isolation level.
TiDB uses the Percolator transaction model. A global read timestamp is obtained when the transaction is started, and a global commit timestamp is obtained when the transaction is committed. The execution order of transactions is confirmed based on the timestamps. To know more about the implementation of TiDB transaction model, see MVCC in TiKV.
The Repeatable Read isolation level only sees data committed before the transaction begins, and it never sees either uncommitted data or changes committed during transaction execution by concurrent transactions. However, the transaction statement does see the effects of previous updates executed within its own transaction, even though they are not yet committed.
For transactions running on different nodes, the start and commit order depends on the order that the timestamp is obtained from PD.
Transactions of the Repeatable Read isolation level cannot concurrently update a same row. When committing, if the transaction finds that the row has been updated by another transaction after it starts, then the transaction rolls back and retries automatically. For example:
create table t1(id int);
insert into t1 values(0);
start transaction; | start transaction;
select * from t1; | select * from t1;
update t1 set id=id+1; | update t1 set id=id+1;
commit; |
| commit; -- roll back and retry atutomatically
The Repeatable Read isolation level in TiDB differs from ANSI Repeatable Read isolation level, though they sharing the same name. According to the standard described in the A Critique of ANSI SQL Isolation Levels paper, TiDB implements the snapshot isolation level, and it does not allow phantom reads but allows write skews. In contrast, the ANSI Repeatable Read isolation level allows phantom reads but does not allow write skews.
The Repeatable Read isolation level in TiDB differs from that in MySQL. The MySQL Repeatable Read isolation level does not check whether the current version is visible when updating, which means it can continue to update even if the row has been updated after the transaction starts. In contrast, if the row has been updated after the transaction starts, the TiDB transaction is rolled back and retried. Transaction Retries in TiDB might fail, leading to a final failure of the transaction, while in MySQL the updating transaction can be successful.
The MySQL Repeatable Read isolation level is not the snapshot isolation level. The consistency of MySQL Repeatable Read isolation level is weaker than both the snapshot isolation level and TiDB Repeatable Read isolation level.
For the insert/delete/update
operation, if the transaction fails and can be retried according to the system, the transaction is automatically retried within the system.
You can control the number of retries by configuring the retry-limit
parameter:
[performance]
...
# The maximum number of retries when commit a transaction.
retry-limit = 10
Because TiDB uses the optimistic transaction model, the final result might not be as expected if the transactions created by the explicit BEGIN
statement automatically retry after meeting a conflict.
Example 1:
Session1 | Session2 |
---|---|
begin; |
begin; |
select balance from t where id = 1; |
update t set balance = balance -100 where id = 1; |
update t set balance = balance -100 where id = 2; |
|
// the subsequent logic depends on the result of select |
commit; |
if balance > 100 { |
|
update t set balance = balance + 100 where id = 2; |
|
} |
|
commit; // automatic retry |
Example 2:
Session1 | Session2 |
---|---|
begin; |
begin; |
update t set balance = balance - 100 where id = 1; |
delete t where id = 1; |
commit; |
|
// the subsequent logic depends on the result of affected_rows |
|
if affected_rows > 100 { |
|
update t set balance = balance + 100 where id = 2; |
|
} |
|
commit; // automatic retry |
Under the automatic retry mechanism of TiDB, all the executed statements for the first time are re-executed again. When whether the subsequent statements are to be executed or not depends on the results of the previous statements, automatic retry cannot guarantee the final result is as expected.
To disable the automatic retry of explicit transactions, configure the tidb_disable_txn_auto_retry
global variable:
set @@global.tidb_disable_txn_auto_retry = 1;
This variable does not affect the implicit single statement with auto_commit = 1
, so this type of statement still automatically retries.
After the automatic retry of explicit transactions is disabled, if a transaction conflict occurs, the commit
statement returns an error that includes the try again later
string. The application layer uses this string to judge whether the error can be retried.
If the application layer logic is included in the process of transaction execution, it is recommended to add the retry of explicit transactions at the application layer and disable automatic retry.
If you execute a statement within a transaction, the statement does not take effect when an error occurs.
begin;
insert into test values (1);
insert into tset values (2); // This statement does not take effect because "test" is misspelled as "tset".
insert into test values (3);
commit;
In the above example, the second insert
statement fails, while the other two insert
statements (1 & 3) can be successfully committed.
begin;
insert into test values (1);
insert into tset values (2); // This statement does not take effect because "test" is misspelled as "tset".
insert into test values (3);
rollback;
In the above example, the second insert
statement fails, and this transaction does not insert any data into the database because rollback
is called.