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Glue ETL optimization: Performance improvement strategies?

Cloud/Toolshard0.2 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

Strategies: (1) Right-size DPUs; auto-scaling. (2) Partition read/write; predicates. (3) Parallelism—parallelCopies, repartition. (4) Parquet/ORC; compact small files. (5) Pushdown at source. (6) Job bookmarks for incremental. (7) Salting for skew. Trade-off: Over-parallelism...

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Frequency
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Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
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1,863
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Key Concepts Tested
etloptimizationpartitionspark
Expert Answer
45 words

Strategies: (1) Right-size DPUs; auto-scaling. (2) Partition read/write; predicates. (3) Parallelism—parallelCopies, repartition. (4) Parquet/ORC; compact small files. (5) Pushdown at source. (6) Job bookmarks for incremental. (7) Salting for skew. Trade-off: Over-parallelism can throttle source. Best practice: Profile with Spark UI; Glue optimizations; cache lookups.

⚡
Pro Tip

Red Flag: No partitioning on large tables. Pro-Move: 'We partition + predicate; salt skewed key; compact weekly—job time 2h → 25 min.'

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