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DynamoDB Bulk Executor uses AWS Glue to run interruptible parallel jobs

aws.amazon.com by Jason Hunter 13 min read Editor score 7/10

The tool was designed to make bulk operations feel like local scripts while scaling to hundreds of workers; AWS Glue was selected to distribute execution. The design constraints and tradeoffs offer useful lessons for building managed parallel data-processing tools.

What: Bulk Executor runs commands in bulk against many or all items in an Amazon DynamoDB table.
How: Its command-line client submits a job to AWS Glue, which distributes work across workers; a Spark connector reads and writes table data.
Why it matters: AWS Glue provides serverless parallelism for hundreds of workers, while the tool aims to preserve a local-script feel and interruptible commands.

The command-line client submits work for AWS Glue to distribute across workers accessing DynamoDB. Sketched from the article's own text.

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