Hello,
We are noticing slowness during Bulk Publishing. There are generally 100 assets at a time. Sometimes publish server is inaccessible and restores back once queue is cleared.
During publishing, we have 2 events
We have enabled Batch processing for Replication Agent, but no luck. Binaryless replication enabled.
Requesting suggestions on how we can improve this?
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Hi,
Is this happening on an On-premise instance, It is AMS? Are any useful info in the logs?
This is an AMS instance.
I have following improvements is mind, please let me know if they make sense and if there anything else we could do?
ReplicationOptions options = new ReplicationOptions();
options.setSynchronous(true);
replicatorService.replicate(session, ReplicationActionType.ACTIVATE, payloadPath, options);
Any thing you can think of that could help with optimizing resources?
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I think something is happening on the publisher's side. I would start by checking the JVM on the publishers, as Jorg has pointed out. You should take those dumps to see if anything is consuming memory.
Another thing I would check is indexing. Look for any unusual behavior around indexing with each activation. You should be able to see when the last indexing and re-indexing occurred and verify if everything is okay.
Where does the slowness happen? On author or on publish side? And when you mention "slowness", does it only affect the respective part of the replication (sending or receiving) or does it affect the entire instance and other activities as well?
Thanks for the queries.
The slowness in observed on publish while accessing sites, performing search etc. Almost entire instance is slow. And it recovers in some time.
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please run a number of threaddumps (eg. 10 dumps with 1s delay between them) on publish during such a situation, that should allow you check details.
Hi @aanchal-sikka
If you are using ACS Common the you can try Bulk Workflow Manager to replicate assets
We have no control on when the data will flow to us. Many of which get published immediately.
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Hi @aanchal-sikka
Not sure if you can rely on sling job and executed only few immedialty with queue.maxparallel.
If you go with it then please considering created dedicated queue[1] and thread-pool[2]
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