yashmayya commented on code in PR #14336:
URL: https://github.com/apache/kafka/pull/14336#discussion_r1316175988
##########
docs/connect.html:
##########
@@ -1078,7 +1079,7 @@ <h4><a id="connect_administration"
href="#connect_administration">Kafka Connect
</p>
<p>
- It's sometimes useful to temporarily stop the message processing of a
connector. For example, if the remote system is undergoing maintenance, it
would be preferable for source connectors to stop polling it for new data
instead of filling logs with exception spam. For this use case, Connect offers
a pause/resume API. While a source connector is paused, Connect will stop
polling it for additional records. While a sink connector is paused, Connect
will stop pushing new messages to it. The pause state is persistent, so even if
you restart the cluster, the connector will not begin message processing again
until the task has been resumed. Note that there may be a delay before all of a
connector's tasks have transitioned to the PAUSED state since it may take time
for them to finish whatever processing they were in the middle of when being
paused. Additionally, failed tasks will not transition to the PAUSED state
until they have been restarted.
+ It's sometimes useful to temporarily stop the message processing of a
connector. For example, if the remote system is undergoing maintenance, it
would be preferable for source connectors to stop polling it for new data
instead of filling logs with exception spam. For this use case, Connect offers
pause / stop / resume APIs. While a source connector is paused or stopped,
Connect will stop polling it for additional records. While a sink connector is
paused or stopped, Connect will stop pushing new messages to it. The paused /
stopped state is persistent, so even if you restart the cluster, the connector
will not begin message processing again until it has been resumed. For a paused
connector, any resources claimed by its tasks are left allocated, which allows
the connector to begin processing data quickly once it is resumed. When a
connector is stopped, however, its tasks are shut down and any resources
claimed by its tasks are deallocated. This is more efficient from a resource u
sage standpoint than pausing the connector, but can cause it to take longer to
begin processing data once resumed. Note that there may be a delay before all
of a connector's tasks have transitioned to the PAUSED state since it may take
time for them to finish whatever processing they were in the middle of when
being paused. Additionally, failed tasks will not transition to the PAUSED
state until they have been restarted.
Review Comment:
Thanks, that sounds good to me 👍
##########
docs/connect.html:
##########
@@ -1078,7 +1079,7 @@ <h4><a id="connect_administration"
href="#connect_administration">Kafka Connect
</p>
<p>
- It's sometimes useful to temporarily stop the message processing of a
connector. For example, if the remote system is undergoing maintenance, it
would be preferable for source connectors to stop polling it for new data
instead of filling logs with exception spam. For this use case, Connect offers
a pause/resume API. While a source connector is paused, Connect will stop
polling it for additional records. While a sink connector is paused, Connect
will stop pushing new messages to it. The pause state is persistent, so even if
you restart the cluster, the connector will not begin message processing again
until the task has been resumed. Note that there may be a delay before all of a
connector's tasks have transitioned to the PAUSED state since it may take time
for them to finish whatever processing they were in the middle of when being
paused. Additionally, failed tasks will not transition to the PAUSED state
until they have been restarted.
+ It's sometimes useful to temporarily stop the message processing of a
connector. For example, if the remote system is undergoing maintenance, it
would be preferable for source connectors to stop polling it for new data
instead of filling logs with exception spam. For this use case, Connect offers
pause / stop / resume APIs. While a source connector is paused or stopped,
Connect will stop polling it for additional records. While a sink connector is
paused or stopped, Connect will stop pushing new messages to it. The paused /
stopped state is persistent, so even if you restart the cluster, the connector
will not begin message processing again until it has been resumed. For a paused
connector, any resources claimed by its tasks are left allocated, which allows
the connector to begin processing data quickly once it is resumed. When a
connector is stopped, however, its tasks are shut down and any resources
claimed by its tasks are deallocated. This is more efficient from a resource u
sage standpoint than pausing the connector, but can cause it to take longer to
begin processing data once resumed. Note that there may be a delay before all
of a connector's tasks have transitioned to the PAUSED state since it may take
time for them to finish whatever processing they were in the middle of when
being paused. Additionally, failed tasks will not transition to the PAUSED
state until they have been restarted.
Review Comment:
Thanks, that sounds good to me 👍
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