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Posted to reviews@spark.apache.org by "heyihong (via GitHub)" <gi...@apache.org> on 2023/09/20 14:33:12 UTC
[GitHub] [spark] heyihong opened a new pull request, #43017: [SPARK-45239] Reduce default spark.connect.jvmStacktrace.maxSize
heyihong opened a new pull request, #43017:
URL: https://github.com/apache/spark/pull/43017
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### What changes were proposed in this pull request?
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- Reduce default spark.connect.jvmStacktrace.maxSize
### Why are the changes needed?
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- `spark.sql.pyspark.jvmStacktrace.enabled` is partially broken (i.e. hitting the 8K header limit) and has to be disable in some tests
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- No
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- Existing tests
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[GitHub] [spark] heyihong commented on pull request #43017: [SPARK-45239] Reduce default spark.connect.jvmStacktrace.maxSize
Posted by "heyihong (via GitHub)" <gi...@apache.org>.
heyihong commented on PR #43017:
URL: https://github.com/apache/spark/pull/43017#issuecomment-1728573383
> Hi @heyihong , since you already have this error enrichment PR: #42987 Does it make sense to still support this `spark.connect.jvmStacktrace.maxSize` in spark connect? Also, just wondering, why do we want to enable this `spark.sql.pyspark.jvmStacktrace.enabled` config?
For long term, no. But for short term, we need to be backward compatible with the old clients. We should turn off `spark.sql.pyspark.jvmStacktrace.enabled` once error enrichment feature is done. But we still need to keep the config for a while since it is the only way for old clients to get jvmStacktrace in the error messages.
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Re: [PR] [SPARK-45239][CONNECT] Reduce default spark.connect.jvmStacktrace.maxSize [spark]
Posted by "dongjoon-hyun (via GitHub)" <gi...@apache.org>.
dongjoon-hyun closed pull request #43017: [SPARK-45239][CONNECT] Reduce default spark.connect.jvmStacktrace.maxSize
URL: https://github.com/apache/spark/pull/43017
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