Load .DAT file from S3 into Redshift Using AWS Glue

Question

I receive a file from external vendor. The file is in ***.dat*** format. Once the file arrives into my S3 bucket, I have to trigger a AWS Glue job to read the file and load into my Redshift table. I have the logic and it is working for CSV, Parquet files. But that is not working for ***DAT*** files.
Below is my code:

`order_lines = glueContext.create_dynamic_frame.from_options(
    format_options={
        "quoteChar": '"', "withHeader": True, "separator": "|", "optimizePerformance": False,
    },
    connection_type="s3",
    format="dat", connection_options={
        "paths": [
            f"s3://mybucket/staging/optical/order_lines_summary/OPTICAL_ORDER_LINE_SUMMARY_2024-02-26-01-00-00-404.dat"
            ], "recurse": True,
    },
    transformation_ctx="order_lines",
)`

Can anyone please help on this?

Answer

Hello, dat is not a valid glue format, in your case you would still use "csv" as the format and "|" separator in the format options. Please take a look at this link for the comprehensive list of formats supported by glue.
https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-format.html

Answer

The same code worked for me to read a DAT file. My issue was, initially the S3 bucket I was referring was not accessible by AWS Glue. After modifying that to the my own S3 bucket location, I was able to read the file. Thanks.

Load .DAT file from S3 into Redshift Using AWS Glue

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