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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:
- Verify that the database and table name provided in the from_catalog method are correct and that the table exists in the specified database.
- Check that the partition predicate is a valid SQL expression and that it selects the desired partitions.
- Make sure that you have the necessary permissions to access the table and its partitions.
- If the error persists, check the Glue job's logs and CloudWatch metrics for more information on the root cause of the issue.
- 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.
answered a year ago
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