AWS Glue job is failing with an out of memory error during a PySpark shuffle stage on a G.2X worker, how do I profile the executor memory overhead?
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AWS Glue job is failing with an out of memory error during a PySpark shuffle stage on a G.2X worker, how do I profile the executor memory overhead?
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AWS Glue G.2X worker memory executor memory overhead Spark UI profiling executor memory overhead metrics Google ↗
AWS Glue Spark UI executor metrics memory overhead Python workers shuffle OOM documentation Google ↗
- OOM debugging guide · docs.aws.amazon.com
- Monitoring AWS Glue using Amazon CloudWatch metrics · docs.aws.amazon.com
- Optimize shuffles · docs.aws.amazon.com
- Debugging demanding stages and straggler tasks · docs.aws.amazon.com
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| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
AWS Glue G.2X worker memory executor memory overhead Spark UI profiling executor memory overhead metrics OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
AWS Glue Spark UI executor metrics memory overhead Python workers shuffle OOM documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |