Required to use transformation_ctx in all glue Transforms?

0

In a glue job that is using bookmarks, I'm including the transformation_ctx parameter in each of the create dynamic frame methods (where I read data).

If I then do a join and a select and then an ApplyMapping, do I need to include the transformation_ctx in each of those transforms?

It seems unncessary to associate bookmark state with those transforms since the bookmark should only really apply to the source data, correct? That makes sense to me since the create dynamic frame method where I retrieve the data is where the bookmark is taken into account. But then why is the transformation_ctx included in all the other transforms like ApplyMapping?

asked 7 months ago363 views
1 Answer
1
Accepted Answer

You are correct in your understanding. The transformation_ctx parameter is primarily used to associate bookmark state with the source data, and it is not necessary to include it in all subsequent transformation steps like joins, selects, and ApplyMapping when using Glue bookmarks. The bookmark state should be relevant to the source data extraction step.

The purpose of the transformation_ctx parameter is to enable Glue to track the progress of your ETL job, specifically for source data extraction, so that it knows which data has been processed and where to start in case of job interruption or failure.

This is how it typically works:

Source Data Extraction: In the initial step where you create dynamic frames by reading data from sources (e.g., S3, databases), you use the transformation_ctx parameter to track the state of the source data. This allows Glue to record the last successfully processed data point for bookmarks.

Transformations: For subsequent transformation steps like joins, selects, ApplyMapping, and others, you do not need to include the transformation_ctx. These transformations are applied to the data obtained from the initial source extraction. The bookmark state is associated with the source data itself, not the transformations applied to it.

Including transformation_ctx in every transformation step is unnecessary and could potentially lead to confusion because it does not serve any meaningful purpose in those steps. You should include it only in the create dynamic frame methods for reading data from sources.

AWS
answered 7 months ago

You are not logged in. Log in to post an answer.

A good answer clearly answers the question and provides constructive feedback and encourages professional growth in the question asker.

Guidelines for Answering Questions