Solving the Mysterious “An error occurred while calling o110.pyWriteDynamicFrame” Error in AWS Glue Job

Are you stuck with the infamous “An error occurred while calling o110.pyWriteDynamicFrame. Exception thrown in awaitResult:” error in your AWS Glue Job? Fear not, dear reader, for you’ve landed on the right page! In this comprehensive guide, we’ll delve into the depths of this error, explore its causes, and provide you with clear, step-by-step instructions to resolve it.

What is the o110.pyWriteDynamicFrame error?

The o110.pyWriteDynamicFrame error is a generic error message thrown by AWS Glue when there’s an issue with writing data to a dynamic frame. A dynamic frame is a flexible data structure in AWS Glue that allows you to work with complex and nested data. When AWS Glue encounters an issue while writing data to a dynamic frame, it throws this error, which can be frustratingly vague.

Causes of the o110.pyWriteDynamicFrame error

Before we dive into the solutions, let’s explore some common causes of this error:

• Data Type Mismatch: One of the most common causes is a data type mismatch between the data being written and the expected data type of the dynamic frame.
• : Another cause is a mismatch between the schema of the data being written and the schema of the dynamic frame.
• Invalid Data: AWS Glue may throw this error if the data being written contains invalid or malformed records.
• Permission Issues: Make sure the AWS Glue job has the necessary permissions to write data to the target location.
• Network Connectivity Issues: Temporary network connectivity issues can also cause this error.

Solution 1: Verify Data Type and Schema

Let’s start with the most common cause: data type and schema mismatch.

// Example Python code to verify data type and schema
import pandas as pd
from awsglue.dynamicframe import DynamicFrame

# assume 'df' is your Pandas DataFrame
dynamic_frame = DynamicFrame.from_pandas(df, glue_ctx, "my_dynamic_frame")

# Verify the schema of the dynamic frame
print(dynamic_frame.schema())

# Verify the data types of the columns
print(df.dtypes)

Compare the schema and data types of your dynamic frame with the expected schema and data types. Make the necessary adjustments to ensure they match.

Solution 2: Validate Data

Next, let’s validate the data being written to the dynamic frame.

// Example Python code to validate data
import pandas as pd
from awsglue.dynamicframe import DynamicFrame

# assume 'df' is your Pandas DataFrame
dynamic_frame = DynamicFrame.from_pandas(df, glue_ctx, "my_dynamic_frame")

# Drop any rows with invalid data
df.dropna(inplace=True)

# Verify the data types of the columns
print(df.dtypes)

# Write the validated data to the dynamic frame
dynamic_frame.toDF().write.parquet("s3://my-bucket/my-data", mode="overwrite")

In this example, we drop any rows with invalid data using the `dropna()` method. You can add additional validation steps as needed.

Solution 3: Check Permissions and Network Connectivity

Ensure the AWS Glue job has the necessary permissions to write data to the target location.

Resource	Permission
S3 Bucket	s3:GetObject, s3:PutObject, s3:ListBucket
DynamoDB Table	dynamodb:PutItem, dynamodb:GetItem, dynamodb:ListTables

Also, verify that there are no network connectivity issues between the AWS Glue job and the target location.

Solution 4: Check AWS Glue Job Parameters

Finally, review the AWS Glue job parameters to ensure they are correctly configured.

// Example AWS Glue job parameters
{
  "name": "my-glue-job",
  "type": "Spark",
  "script": "s3://my-bucket/my-script.py",
  "role": "arn:aws:iam::123456789012:role/my-glue-role",
  "region": "us-east-1",
  "MaxCapacity": 10,
  "WorkerType": "Standard",
  "NumberOfWorkers": 2
}

Verify that the script, role, region, and other parameters are correctly configured.

Conclusion

The “An error occurred while calling o110.pyWriteDynamicFrame. Exception thrown in awaitResult:” error in AWS Glue Job can be frustrating, but by following these step-by-step instructions, you should be able to identify and resolve the underlying cause. Remember to verify data type and schema, validate data, check permissions and network connectivity, and review AWS Glue job parameters.

1. Verify data type and schema to ensure they match the expected schema and data types.
2. Validate data to ensure it contains no invalid or malformed records.
3. Check permissions and network connectivity to ensure the AWS Glue job has the necessary access and connectivity.
4. Review AWS Glue job parameters to ensure they are correctly configured.

By following these solutions, you should be able to resolve the o110.pyWriteDynamicFrame error and get your AWS Glue job running smoothly.

Additional Resources

If you’re still experiencing issues, refer to the following resources for further assistance:

• AWS Glue Documentation: https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api.html
• AWS Glue Troubleshooting Guide: https://docs.aws.amazon.com/glue/latest/dg/troubleshooting.html
• AWS Glue Community Forum: https://forums.aws.amazon.com/forum.jspa?forumID=243

Frequently Asked Question

Stuck with the frustrating “An error occurred while calling o110.pyWriteDynamicFrame. Exception thrown in awaitResult” error in your AWS Glue Job? Don’t worry, we’ve got you covered! Here are some frequently asked questions and answers to help you troubleshoot and resolve the issue: