C4W4A4 Capstone Part 1: HTTP 500 Internal Error on API URL

Course Q&A Data Engineering Data Modeling, Transformation, and Serving
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1

This is regarding section 4.1.7 of the notebook C4_W4_Assignment_1.ipynb.

I am able to successfully run the terraform steps after loading the ETL jobs, and both the rds-extract-job and the users-extract-job complete successfully, however I’m getting the following error in the Glue console when attempting to run the api-sessions-extract-job:

HTTPError: 500 Server Error: Internal Server Error for url: http://ec2-3-217-34-172.compute-1.amazonaws.com/sessions

I’ve tried rebooting the session and re-running and re-loading everything, but it’s giving me the same result.

Here is the relevant code block from the glue.tf file in the repo:

# Complete the resource "aws_glue_job" "api_sessions_ingestion_etl_job"
resource "aws_glue_job" "api_sessions_ingestion_etl_job" {
  name         = "${var.project}-api-sessions-extract-job"
  role_arn     = aws_iam_role.glue_role.arn
  glue_version = "4.0"

  command {
    name            = "glueetl"
    # Set the value of scripts_bucket and "de-c4w4a1-api-extract-job.py" for the script object key
    script_location = "s3://${var.scripts_bucket}/de-c4w4a1-api-extract-job.py"
    python_version  = 3
  }

  # Set the arguments in the `default_arguments` configuration parameter
  default_arguments = {
    "--enable-job-insights" = "true"
    "--job-language"        = "python"
    # Set `"--api_start_date"` to `"2020-01-01"`
    "--api_start_date"      = "2020-01-01"
    # Set `"--api_end_date"` to `"2020-01-31"`
    "--api_end_date"        = "2020-01-31"
    # Replace the placeholder <API-ENDPOINT> with the value from the CloudFormation outputs
    "--api_url"             = "http://ec2-3-217-34-172.compute-1.amazonaws.com/sessions"
    # Notice the target path. This line of the code code is complete - no changes are required
    "--target_path"         = "s3://${var.data_lake_bucket}/landing_zone/api/sessions"
  }

  # Set up the `timeout` to 5 and the number of workers to 2. The time unit here is minutes.
  timeout            = 5
  number_of_workers  = 2

  worker_type        = "G.1X"
}

Earlier in the script, I’m able to see a 200 response from that API endpoint:

image
image978×471 58.3 KB

Any ideas? Thank you!

2

Hello @another_username
Your code seems correct. The endpoint might have stopped working mid session. Is it possible that you ran out of time before getting to running the glue jobs?
You can also try requesting a lab refresh via this form. This might help resolve the issue.

1 Like
3

Guys, it seems that a couple of us are experiencing issues with that inaccessible API service. Do you have any serious intention fixing it or just suggest a solution if possible

4

Hello @BSDNomad
Did you try filling out the lab refresh form?

5

Yes, the right way it is explained in the forum article. There was no change actually. Also, spent two hours digging through this forum but unfortunately there is no adequate explanation or solution.
Basically one service should not stop us from performing the assignments, that’s what we pay for to be up and running, right?

6

Hello again,

I’m not sure if it has any connection with my previous reply - just deleted everything in ‘project’ folder, then initiated again the lab update process and now CloudFormation seems to surface a different set of assets, definitely updated and the API endpoint is up and running properly.