AWS Glue Python Script Doesn’t install wheel from S3 when adding a Glue Connection? Here’s the Fix!
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AWS Glue Python Script Doesn’t install wheel from S3 when adding a Glue Connection? Here’s the Fix!

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Are you tired of wrestling with AWS Glue and S3, trying to get your Python script to install a wheel from S3 when adding a Glue connection? You’re not alone! Many developers have faced this issue, and today, we’re going to tackle it head-on. In this article, we’ll explore the reasons behind this problem and provide a step-by-step guide to resolve it. So, buckle up and let’s dive in!

Understanding the Problem

When you try to add a Glue connection and specify an S3 bucket as the source, AWS Glue attempts to install the required wheel files from the bucket. However, sometimes, this process fails, leaving you with error messages like “FAILED: wheelchair not found” or “FAILED: No matching distribution found for ‘ wheel-name'”.

There are a few reasons why this might happen:

  • The wheel file is not correctly formatted or named.
  • The S3 bucket is not properly configured or has incorrect permissions.
  • The AWS Glue script is not correctly referencing the wheel file or S3 bucket.

Step 1: Verify Your Wheel File

Before we dive into the AWS Glue script, let’s ensure your wheel file is correctly formatted and named. Here are the requirements:

  • The wheel file should be a valid Python wheel package (.whl).
  • The file name should follow the format ‘.whl’.
  • For example, ‘my_package-1.0.0-cp37-cp37m-linux_x86_64.whl’.

You can use the following Python command to create a wheel file:

python setup.py bdist_wheel

This will generate a wheel file in your project directory.

Step 2: Configure Your S3 Bucket

Next, let’s ensure your S3 bucket is correctly configured:

  • Create an S3 bucket with the correct permissions.
  • Upload your wheel file to the S3 bucket.
  • Make sure the wheel file is publicly accessible (or use AWS IAM roles to control access).

You can use the AWS Management Console or AWS CLI to create and configure your S3 bucket.

Step 3: Update Your AWS Glue Script

Now, let’s modify your AWS Glue script to correctly reference the wheel file and S3 bucket:

Here’s an example script:

import sys
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.dynamicframe import DynamicFrame

sc = SparkContext()
glue_ctx = GlueContext(sc)
spark = glue_ctx.spark_session

args = getResolvedOptions(sys.argv, ['bucket', 'key'])

bucket_name = args['bucket']
key = args['key']

# Add the S3 bucket as a Spark repository
spark.conf.set('spark.jars.repositories', f'{bucket_name}/{key}')

# Install the wheel file
spark.conf.set('spark.jars.packages', f'{key}')

# Load the dynamic frame
dynamic_frame = glue_ctx.create_dynamic_frame.from_options(
    connection_type="s3",
    format="json",
    connection_options={
        "paths": [f"s3://{bucket_name}/{key}"],
        "recurse": True
    }
)

print(dynamic_frame.schema())

In the script above:

  • We define the S3 bucket and key as script arguments.
  • We add the S3 bucket as a Spark repository.
  • We install the wheel file using the ‘spark.jars.packages’ configuration.
  • We load the dynamic frame from the S3 bucket.

Step 4: Run Your AWS Glue Job

Finally, let’s run our AWS Glue job with the updated script:

Go to the AWS Glue console, select your job, and click “Run job”. Make sure to provide the correct S3 bucket and key as job arguments.

Troubleshooting Tips

If you’re still facing issues, here are some troubleshooting tips:

  • Check the AWS Glue job logs for error messages.
  • Verify that the wheel file is correctly named and formatted.
  • Ensure the S3 bucket is publicly accessible or has correct IAM permissions.
  • Try installing the wheel file manually using pip or Conda.
Error Message Solution
Failed to install wheel file Verify wheel file naming and formatting. Check S3 bucket permissions.
No matching distribution found for ‘wheel-name’ Check wheel file naming and formatting. Ensure wheel file is compatible with Python version.
Failed to connect to S3 bucket Verify S3 bucket permissions and ensure IAM roles are correctly configured.

Conclusion

In this article, we’ve explored the common issues that arise when trying to install a wheel file from S3 when adding a Glue connection. By following the steps outlined above, you should be able to resolve the problem and successfully install your wheel file. Remember to verify your wheel file, configure your S3 bucket, update your AWS Glue script, and run your AWS Glue job. If you’re still facing issues, refer to the troubleshooting tips and error messages table for guidance. Happy coding!

Still having issues? Share your experience in the comments below, and we’ll do our best to help you out!

Here are 5 FAQs about “AWS Glue Python Script Doesn’t install wheel from s3 when adding a glue connection” in a creative voice and tone:

Frequently Asked Question

Get the answers to your most pressing questions about AWS Glue Python Script and installing wheels from S3!

Why doesn’t my AWS Glue Python script install the wheel from S3 when adding a glue connection?

This could be due to the script not having the necessary permissions to access the S3 bucket. Make sure the IAM role associated with your Glue job has the necessary permissions to read from the S3 bucket.

Is there a specific way to specify the S3 location in the AWS Glue Python script?

Yes, you need to specify the S3 location using the `–wheel` option followed by the S3 URI of the wheel file. For example: `–wheel s3://my-bucket/my-wheel.whl`.

Do I need to specify any additional dependencies in the AWS Glue Python script?

Yes, you need to specify any additional dependencies required by the wheel in the `extras` section of the `install_wheel` method. For example: `install_wheel Extras=[‘dependency1’, ‘dependency2’]`.

Can I use a private S3 bucket to store my wheel file?

Yes, you can use a private S3 bucket to store your wheel file. However, you need to make sure the IAM role associated with your Glue job has the necessary permissions to access the private S3 bucket.

How do I troubleshoot issues with installing the wheel from S3 in my AWS Glue Python script?

You can troubleshoot issues by checking the Glue job logs for errors, verifying the IAM role permissions, and making sure the S3 bucket and wheel file are accessible.

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