length to fix precision-related issues #3091 – Fix the issue of a wrong way to check for overflow in plus expression #26977 – Fix the issue of data too long error when dumping statistics from the table with `INSERT` statement with the `REPLACE` �→ statement and splits the `UPDATE` statement into `DELETE` �→ plus `REPLACE`. -txn-batch int the number of SQL statements of a transaction which are output �→ to `INSERT` statement with the `REPLACE` �→ statement and replaces the `UPDATE` statement with `DELETE` �→ plus `REPLACE` statements. safe-mode = false # the downstream service type of Drainer ("mysql" by default)

`INSERT` statement with the `REPLACE` �→ statement and splits the `UPDATE` statement into `DELETE` �→ plus `REPLACE`. -txn-batch int the number of SQL statements of a transaction which are output �→ to `INSERT` statement with the `REPLACE` �→ statement and replaces the `UPDATE` statement with `DELETE` �→ plus `REPLACE` statements. safe-mode = false # the downstream service type of Drainer ("mysql" by default) updates in the following way: • Insert is modified to Replace Into • Update is modified to Delete plus Replace Into Default value: false 11.7.5.2.14 syncer.to The syncer.to section introduces different

`INSERT` statement with the `REPLACE` �→ statement and splits the `UPDATE` statement into `DELETE` �→ plus `REPLACE`. -txn-batch int the number of SQL statements of a transaction which are output �→ to `INSERT` statement with the `REPLACE` �→ statement and replaces the `UPDATE` statement with `DELETE` �→ plus `REPLACE` statements. safe-mode = false # the downstream service type of Drainer ("mysql" by default) updates in the following way: • Insert is modified to Replace Into • Update is modified to Delete plus Replace Into Default value: false 11.7.5.2.14 syncer.to The syncer.to section introduces different

for instance, allocates timestamps based on local wall-clocks, but ensures monotonicity through Raft plus a leader lease. Clock skew between PD nodes can cause allocated timestamps to diverge from wall time

`INSERT` statement with the `REPLACE` �→ statement and splits the `UPDATE` statement into `DELETE` �→ plus `REPLACE`. -txn-batch int the number of SQL statements of a transaction which are output �→ to `INSERT` statement with the `REPLACE` �→ statement and replaces the `UPDATE` statement with `DELETE` �→ plus `REPLACE` statements. safe-mode = false # the downstream service type of Drainer ("mysql" by default) updates in the following way: • Insert is modified to Replace Into • Update is modified to Delete plus Replace Into Default value: false 11.7.5.2.14 syncer.to The syncer.to section introduces different

time. • The execute time may also be significantly greater than the total time of the KV request plus the tso_wait time. This means that the SQL execution time is spent mostly inside the TiDB executor the following query: SELECT * FROM t WHERE col1 <= 1 OR col1 IS NULL; The preceding query result plus one will be the final estimation for the row count. In this way, you do not need to use the independent MySQL-2 instances, to the downstream test_table table in the test_db database of TiDB, in the full data plus incre- mental data mode. Edit the task.yaml task configuration file as below: ##### The task name

concurrent jobs to add multiple indexes for a �→ single table. Previously, it would take the time of X plus the time �→ of Y to execute two ADD INDEX statements simultaneously �→ (X and Y). With time. • The execute time may also be significantly greater than the total time of the KV request plus the tso_wait time. This means that the SQL execution time is spent mostly inside the TiDB executor the following query: SELECT * FROM t WHERE col1 <= 1 OR col1 IS NULL; The preceding query result plus one will be the final estimation for the row count. In this way, you do not need to use the independent

time. • The execute time may also be significantly greater than the total time of the KV request plus the tso_wait time. This means that the SQL execution time is spent mostly inside the TiDB executor the following query: SELECT * FROM t WHERE col1 <= 1 OR col1 IS NULL; The preceding query result plus one will be the final estimation for the row count. In this way, you do not need to use the independent MySQL-2 instances, to the downstream test_table table in the test_db database of TiDB, in the full data plus incre- mental data mode. Edit the task.yaml task configuration file as below: ##### The task name

time. • The execute time may also be significantly greater than the total time of the KV request plus the tso_wait time. This means that the SQL execution time is spent mostly inside the TiDB executor the following query: SELECT * FROM t WHERE col1 <= 1 OR col1 IS NULL; The preceding query result plus one will be the final estimation for the row count. In this way, you do not need to use the independent MySQL-2 instances, to the downstream test_table table in the test_db database of TiDB, in the full data plus incre- mental data mode. Edit the task.yaml task configuration file as below: ##### The task name

time. • The execute time may also be significantly greater than the total time of the KV request plus the tso_wait time. This means that the SQL execution time is spent mostly inside the TiDB executor the following query: SELECT * FROM t WHERE col1 <= 1 OR col1 IS NULL; The preceding query result plus one will be the final estimation for the row count. In this way, you do not need to use the independent MySQL-2 instances, to the downstream test_table table in the test_db database of TiDB, in the full data plus incre- mental data mode. Edit the task.yaml task configuration file as below: ##### The task name