We are using AWS DMS to do a live migration between AWS RDS to AWS RDS.This task is in Full load+CDC mode. Full load is completed successfully but CDC is now failing with below error:
Last Error Load utility network error. Task error notification received from subtask 0, thread 0 [reptask/replicationtask.c:2883] [1020458] Error executing source loop; Stream component failed at subtask 0, component st_0_ADWXVXURDV4UXYIGPH5US2PQW6XSQVFD5K4NFAY; Stream component 'st_0_ADWXVXURDV4UXYIGPH5US2PQW6XSQVFD5K4NFAY' terminated [reptask/replicationtask.c:2891] [1020458] Stop Reason RECOVERABLE_ERROR Error Level RECOVERABLE
In the cloudwatch I can only see below error:
WAL reader terminated with broken connection / recoverable error. [1020458].
I am not sure what might be happening here and my only guess is to fix this I may need to run CDC again with custom checkpoint. Can anyone help me on this?
I tried debugging this issue with further logging levels and also tested the connectivities. I looked into cloudwatch metrics but nothing seems suspicious. Also do note that, CDC did start successfully but has now entered into failed state.
Related
ADF Pipeline DF task is Stuck in Progress. It was working seamlessly last couple of months but suddenly Dataflow stuck in progress and Time out after certain time. We are using IR managed Virtual Network. I am using forereach loop to run data flow for multiple entities parallel, it always randomly get stuck on last Entity.
What can I try to resolve this?
Error in Dev Environment
Error Code 4508
Spark cluster not found
Error in Prod Environment:
Error code
5000
Failure type
User configuration issue
Details
[plugins.*** ADF.adf-ir-001 WorkspaceType:<ADF> CCID:<f289c067-7c6c-4b49-b0db-783e842a5675>] [Monitoring] Livy Endpoint=[https://hubservice1.eastus.azuresynapse.net:8001/api/v1.0/publish/815b62a1-7b45-4fe1-86f4-ae4b56014311]. Livy Id=[0] Job failed during run time with state=[dead].
Images:
I tried below steps:
By changing IR configuring as below
Tried DF Retry and retry Interval
Also, tried For each loop one batch at a time instead of 4 batch parallel. None of the above trouble-shooting steps worked. These PL is running last 3-4 months without a single failure, suddenly they started to fail last 3 days consistently. DF flow always stuck in progress randomly for different entity and times out in one point by throwing above errors.
Error Code 4508 Spark cluster not found.
This error can cause because of two reasons.
The debug session is getting closed till the dataflow finish its transformation in this case recommendation is to restart the debug session
the second reason is due to resource problem, or an outage in that particular region.
Error code 5000 Failure type User configuration issue Details [plugins.*** ADF.adf-ir-001 WorkspaceType: CCID:] [Monitoring] Livy Endpoint=[https://hubservice1.eastus.azuresynapse.net:8001/api/v1.0/publish/815b62a1-7b45-4fe1-86f4-ae4b56014311]. Livy Id=[0] Job failed during run time with state=[dead].
A temporary error is one that says "Livy job state dead caused by unknown error." At the backend of the dataflow, a spark cluster is used, and this error is generated by the spark cluster. to get the more information about error go to StdOut of sparkpool execution.
The backend cluster may be experiencing a network problem, a resource problem, or an outage.
If error persist my suggestion is to raise Microsoft support ticket here
I'm trying to migrate existing data and replicate ongoing changes
the source database is PostgreSQL it's managed by aws.
the target is kafka.
I'm facing the below issue.
Last Error No tables were found at task initialization. Either the selected table(s) or schemas(s) no longer exist or no match was found for the table selection pattern(s). If you would like to start a Task that does not initially capture any tables, set Task Setting FailOnNoTablesCaptured to false and restart task. Stop Reason FATAL_ERROR Error Level FATAL
I have a Dataflow streaming job that writes PubSub messages to a file that gets stored in Cloud Storage in 3-minute windows. After a few hours I notice on the "Data Freshness by stages" graph it displays "Possible Stuckness" and "Possible slowness".
I have checked the logs and the info logs displays the follow: "Setting socket default timeout to 60 seconds."; "socket default timeout is 60.0 seconds."; "Attempting refresh to obtain initial access_token."; "Refreshing due to a 401 (attempt 1/2)". That last log kept repeating every few minutes for four hours before the job displayed that there was possible slowness/stuckness.
I am not entirely sure what is happening here. Are these logs related to why the job slowed down and got stuck?
The "potential stuckness" and "potential slowness" are basically the same thing, they are documented here.
The logs might be red herrings.
You can view all available logs following here by their categories: job-message, worker, worker-startup and etc. Try
identify if there is any worker logs to determine whether workers are successfully started with dependencies installed;
search "Operation ongoing" to see whether any work item is taking too much time;
search if there is any error in workers that is blocking the streaming job from making progress.
I want to migrate my PostgresDB hosted in Citus cloud service to AWS RDS Aurora Postgres.
I am using AWS DMS service. Have created task but getting following errors:
Last failure message Last Error Stream Component Fatal error. Task
error notification received from subtask 0, thread 0
[reptask/replicationtask.c:2860] [1020101] Error executing source
loop; Stream component failed at subtask 0, component
st_0_QOIS7XIGJDKNPY6RXMGYRLJQHY2P7IQBWIBA5NQ; Stream component
'st_0_QOIS7XIGJDKNPY6RXMGYRLJQHY2P7IQBWIBA5NQ' terminated
[reptask/replicationtask.c:2868] [1020101] Stop Reason FATAL_ERROR
Error Level FATAL
Frankly speaking not able to understand what is wrong here, so any help is appreciated.
cloudwatch logs:
I changed type to Full load it worked so it is not working for ongoing replication Citus Cloud service don't support it.
I had a similar error to this using Aurora PostgreSQL v14.5 and AWS DMS. I was using a DMS Full load + CDC job (using pglogical behind the scenes) to migrate from one table to another (on the same system).
Issue was resolved by rolling back my PostgreSQL version from 14.5 to 13.7.
I had set up druid cluster(10 nodes),ingestion kafka data using indexing service.However,I found many of tasks are failed like below,but some data had been existed in segments,I am not sure if all datas are pushed in the segments.
failed task lists
besides that,I choose some logs of failed tasks,found there are no fatal error messages,I posted the log file, please help me what caused the task failed.thank so much.
one log of failed tasks
there are 2 questions I want to ask,one is how to confirm all consumer data are pushed in the segments,the other is what caused the task Failure.
This looks to be the issue of Hadoop, where multiple threads trying to write to the same file at same time, you need to set overwrite=false
Check if you are running multiple ingestion tasks for same segments.
you can refer below link for further debugging it -
https://community.hortonworks.com/questions/139150/no-lease-on-file-inode-5425306-file-does-not-exist.html