How do I configure logging in aws glue so I can actually see which dataframe transformation caused the job failure today
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How do I configure logging in aws glue so I can actually see which dataframe transformation caused the job failure today
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
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AWS Glue continuous logging job parameters enable-continuous-cloudwatch-log enable-spark-ui documentation Google ↗
AWS Glue PySpark DataFrame transformations debugging logging Spark UI stages CloudWatch logs documentation Google ↗
- Monitoring with AWS Glue job run insights · docs.aws.amazon.com
- Monitoring with Amazon Glue job run insights · docs.amazonaws.cn
- Enabling the Apache Spark web UI for AWS Glue jobs · docs.aws.amazon.com
- Monitoring jobs using the Apache Spark web UI · docs.aws.amazon.com
- Logging for AWS Glue jobs · docs.aws.amazon.com
- Using job parameters in AWS Glue jobs · docs.aws.amazon.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
AWS Glue continuous logging job parameters enable-continuous-cloudwatch-log enable-spark-ui documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
AWS Glue PySpark DataFrame transformations debugging logging Spark UI stages CloudWatch logs documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |