While I am trying to read the list of blob data on azure, I am getting the following error:
Function evaluation disabled because a previous function evaluation timed out. You must continue execution to reenable function evaluation.
How to resolve this?
Please see the following link. Your code likely has a endless loop. https://msdn.microsoft.com/en-us/library/ms234762.aspx
Related
My application creates thousands of "load jobs" daily to load data from Google Cloud Storage URIs to BigQuery and only a few cases causing the error:
"Finished with errors. Detail: An internal error occurred and the request could not be completed. This is usually caused by a transient issue. Retrying the job with back-off as described in the BigQuery SLA should solve the problem: https://cloud.google.com/bigquery/sla. If the error continues to occur please contact support at https://cloud.google.com/support. Error: 7916072"
The application is written on Python and uses libraries:
google-cloud-storage==1.42.0
google-cloud-bigquery==2.24.1
google-api-python-client==2.37.0
Load job is done by calling
load_job = self._client.load_table_from_uri(
source_uris=source_uri,
destination=destination,
job_config=job_config,
)
this method has a default param:
retry: retries.Retry = DEFAULT_RETRY,
so the job should automatically retry on such errors.
Id of specific job that finished with error:
"load_job_id": "6005ab89-9edf-4767-aaf1-6383af5e04b6"
"load_job_location": "US"
after getting the error the application recreates the job, but it doesn't help.
Subsequent failed job ids:
5f43a466-14aa-48cc-a103-0cfb4e0188a2
43dc3943-4caa-4352-aa40-190a2f97d48d
43084fcd-9642-4516-8718-29b844e226b1
f25ba358-7b9d-455b-b5e5-9a498ab204f7
...
As mentioned in the error message, Wait according to the back-off requirements described in the BigQuery Service Level Agreement, then try the operation again.
If the error continues to occur, if you have a support plan please create a new GCP support case. Otherwise, you can open a new issue on the issue tracker describing your issue. You can also try to reduce the frequency of this error by using Reservations.
For more information about the error messages you can refer to this document.
We are trying to replicate data from AlloyDB to Bigquery using Datastream.
We Get "An unknown error occurred. Please try again. If the error persists, contact Google support."
In the Datastream console --> objects list, we see all source tables with Object Status "Failed" and Backfill status "Completed".
In Bigquery we see only a subset of the tables (not all the "Completed" objects were synced).
In the Logs Explorer I can see this error on BQ:
I also see this error: error: {
code: 11
message: "Unsupported primary key column either does not exist or is a pseudocolumn at [1:401]"
}
The column referred in the error is of type enum.
The desired situation is having all the AlloyDB tables replicated into Bigquery.
The error message is not very informative...
What does it mean?
What would be the best way to go about troubleshooting this?
We're actively working on making these error messages be more informative, and improvements are continuously being rolled out as we identify more edge cases. Assuming you followed all the steps in the documentation, then you may need to open a ticket with support for further investigation. If a support ticket isn't an option, you can still report the issue using the public issue tracker
I just had this same issue but connecting to a PostgreSQL in AWS RDS:
Beginning with Postgres 10, passwords are encrypted using SCRAM-SHA-256 in PostgreSQL. Google DataStream still expects MD5 password encryption, or it will generate an "unknown error" in the logs and fail the backfills.
You'll need to update your postgresql.conf (or RDS Cluster Parameter Group if you're using AWS like me):
password_encryption = 'MD5'
Restart the database and make sure the parameter has changed with:
SHOW password_encryption;
Reset the password of your users:
ALTER USER "{username}" with password '{password}';
More info from the PostgreSQL docs: https://www.postgresql.org/docs/current/auth-password.html
I am getting the following error in a pipeline that has Copy activity with Rest API as source and Azure Data Lake Storage Gen 2 as Sink.
"message": "Failure happened on 'Sink' side. ErrorCode=AdlsGen2OperationFailed,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=ADLS Gen2 operation failed for: Operation returned an invalid status code 'Conflict'. Account: '{Storage Account Name}'. FileSystem: '{Container Name}'. Path: 'foodics_v2/Burgerizzr/transactional/_567a2g7a/2018-02-09/raw/inventory-transactions.json'. ErrorCode: 'LeaseAlreadyPresent'. Message: 'There is already a lease present.'. RequestId: 'd27f1a3d-d01f-0003-28fb-400303000000'..,Source=Microsoft.DataTransfer.ClientLibrary,''Type=Microsoft.Azure.Storage.Data.Models.ErrorSchemaException,Message=Operation returned an invalid status code 'Conflict',Source=Microsoft.DataTransfer.ClientLibrary,'",
The pipeline runs in a for loop with Batch size = 5. When I make it sequential, the error goes away, but I need to run it in parallel.
This is known issue with adf limitation variable thread parallel running.
You probably trying to rename filename using variable.
Your option is to run another child looping after each variable execution.
i.e. variable -> Execute Pipeline
enter image description here
or
remove those variable, hard coded those variable expression in azure activity.
enter image description here
Hope this helps
So I have a workflow which is supposed to throw an error after a certain condition is satisfied. (False condition) As you can see in the log directly below, it works: I do a loop exit first for the group 'coms' and an error is thrown. However, Flowgear seems to only read the last executed node and then determine the workflows status from that. Since the loop finishes last and is successful, if you look in the second log, you can see that the workflow has been evaluated as 'successful' although an error was thrown inside.
Any ideas how to make the loop break? Also why does flowgear only consider the last node? There should be an option in the error node to stop all execution.
Iterator nodes (Splitter and Loop) will consume the errors. The only way at this stage to get the workflow to return an error is to cause an error in the AnyError or UnhandledError part of the workflow. I've created a workflow to demonstrate this here: http://flowgear.me/s/UdpGBbd
Hope this helps.
I just have a simple U-SQL that extracts a csv using Extractors.Csv(encoding:Encoding.[Unicode]); and outputs into a lake store table. The file size is small around 600MB and is unicode type. The number of rows is 700K+
These are the columns:
UserId int,
Email string,
AltEmail string,
CreatedOn DateTime,
IsDeleted bool,
UserGuid Guid,
IFulfillmentContact bool,
IsBillingContact bool,
LastUpdateDate DateTime,
IsTermsOfUse string,
UserTypeId string
When I submit this job to my local, it works great without any issues. Once I submit it to ADLA, I get the following error:
Vertex failure triggered quick job abort. Vertex failed: SV1_Extract_Partition[0][0] with error: Vertex user code error.
Vertex failed with a fail-fast error
Vertex SV1_Extract_Partition[0][0].v1 {BA7B2378-597C-4679-AD69-07413A143E47} failed
Error:
Vertex user code error
exitcode=CsExitCode_StillActive Errorsnippet=An error occurred while processing adl://lakestore.azuredatalakestore.net/Data/User.csv
Any help is appreciated!
Since the file is larger than 250MB, you need to make sure that you upload it as a row-oriented file and not a binary file.
Also, please check the reply for the following question to see how you currently can find more details on the error: Debugging u-sql Jobs