gets written because of the time taken by tracker processing DDL1 T4: DML1 on table1 T5: Version Event DDL2 // gets written AFTER DML1 So now on the replica, at T4, the version historian will incorrectly The most significant one is that vttablet does not need to compute which rows will be affected by a DML. Dropping this requirement allows us to rethink the implementation of its various features. Some of however, one valuable feature that we want to preserve: the ability to limit the number of rows a DML affects. In SBR mode, this was achieved as a side-effect of the fact that we had to run a “subquery”

gets written because of the time taken by tracker processing DDL1 T4: DML1 on table1 T5: Version Event DDL2 // gets written AFTER DML1 So now on the replica, at T4, the version historian will incorrectly The most significant one is that vttablet does not need to compute which rows will be affected by a DML. Dropping this requirement allows us to rethink the implementation of its various features. Some of however, one valuable feature that we want to preserve: the ability to limit the number of rows a DML affects. In SBR mode, this was achieved as a side-effect of the fact that we had to run a “subquery”

gets written because of the time taken by tracker processing DDL1 T4: DML1 on table1 T5: Version Event DDL2 // gets written AFTER DML1 So now on the replica, at T4, the version historian will incorrectly The most significant one is that vttablet does not need to compute which rows will be affected by a DML. Dropping this requirement allows us to rethink the implementation of its various features. Some of however, one valuable feature that we want to preserve: the ability to limit the number of rows a DML affects. In SBR mode, this was achieved as a side-effect of the fact that we had to run a “subquery”

gets written because of the time taken by tracker processing DDL1 T4: DML1 on table1 T5: Version Event DDL2 // gets written AFTER DML1 So now on the replica, at T4, the version historian will incorrectly The most significant one is that vttablet does not need to compute which rows will be affected by a DML. Dropping this requirement allows us to rethink the implementation of its various features. Some of however, one valuable feature that we want to preserve: the ability to limit the number of rows a DML affects. In SBR mode, this was achieved as a side-effect of the fact that we had to run a “subquery”

an API call and cannot be used inside a transaction. However, you can ack messages using a regular DML. It should look like this: update my_message set time_acked = :time_acked , time_next = null where connection objects and optimize the pool performance. (default 1800) -queryserver-config-max-dml-rows int query server max dml rows per statement, maximum number of rows allowed to return at a time for an update message subsystem. (default 4) -queryserver-config-passthrough- dmls query server pass through all dml statements without rewriting -queryserver-config-pool-prefill- parallelism int query server read pool

an API call and cannot be used inside a transaction. However, you can ack messages using a regular DML. It should look like this: update my_message set time_acked = :time_acked , time_next = null where connection objects and optimize the pool performance. (default 1800) -queryserver-config-max-dml- rows int query server max dml rows per statement, maximum number of rows allowed to return at a time for an update message subsystem. (default 4) -queryserver-config- passthrough-dmls query server pass through all dml statements without rewriting -queryserver-config-pool-prefill- parallelism int query server read pool

an API call and cannot be used inside a transaction. However, you can ack messages using a regular DML. It should look like this: update my_message set time_acked = :time_acked , time_next = null where keyspace string keyspace to target the query to. shards list shards to target the query to. A DML can only target one shard. 78 Name Description tablet_type topodata.TabletType TabletType represents keyspace string keyspace to target the query to. shards list shards to target the query to. A DML can only target one shard. Session Session objects are session cookies and are invalidated on use

artifacts: helm upgrade $release ../../helm/vitess/ -f 206_clean_commerce.yaml You can see the following DML statements in commerce: postsplit: |- drop table customer; drop table corder; Those tables are now an API call and cannot be used inside a transaction. However, you can ack messages using a regular DML. It should look like this: update my_message set time_acked = :time_acked , time_next = null where keyspace string keyspace to target the query to. shards list shards to target the query to. A DML can only target one shard. 83 Name Description tablet_type topodata.TabletType TabletType represents