Why am I getting intermittent o343.getDynamicFrame errors?

0

I have a glue job where I'm creating a Dynamic frame from glue catalog. I am getting an intermittent error with o343.getDynamicFrame but if I rerun it, it will be success

Exception: job failed due to error - An error occurred while calling o343.getDynamicFrame.

command it fails on: source_dynamic_df = glueContext.create_dynamic_frame.from_catalog(database = src_catalog_db, table_name = src_tbl_nm, push_down_predicate = partition_predicate, additional_options={"mergeSchema": "true"}, transformation_ctx = "source_dynamic_df")

Amanda
asked a year ago214 views
1 Answer
0

you can use a try-except block to handle errors when calling the method. Here's an example:

try:
    source_dynamic_df = glueContext.create_dynamic_frame.from_catalog(database = src_catalog_db, table_name = src_tbl_nm, push_down_predicate = partition_predicate, additional_options={"mergeSchema": "true"}, transformation_ctx = "source_dynamic_df")
except GluePartitionPredicateError as e:
    print("An error occurred while calling o343.getDynamicFrame:", e)
except Exception as e:
    print("An error occurred while calling o343.getDynamicFrame:", e)
    # Handle the error here, for example by retrying the operation or logging the error

Since you mention that the error is intermittent, it could also be caused by a transient issue with the Glue service or the underlying data source.

You can try to troubleshoot the issue by checking the following things:

  1. Verify that the database and table name provided in the from_catalog method are correct and that the table exists in the specified database.
  2. Check that the partition predicate is a valid SQL expression and that it selects the desired partitions.
  3. Make sure that you have the necessary permissions to access the table and its partitions.
  4. If the error persists, check the Glue job's logs and CloudWatch metrics for more information on the root cause of the issue.
  5. If the error is intermittent, try to re-run the job after a while.

If you are still unable to resolve the issue, it might be helpful to contact AWS support for further assistance.

profile pictureAWS
answered a year ago

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