I’m running into a problem with Spark 3 that matches an old bug report that was never fixed. The issue happens when I execute my job and I get the same error that was reported before.
I tried the suggested workarounds like removing cache operations and show statements from my code, but the problem still persists. The error keeps appearing no matter what I try.
Has anyone else run into this same issue with Spark 3? I’m looking for any solutions or workarounds that actually work. Any help would be appreciated since the original bug report doesn’t have a working solution.
hey, can u share the exact error msg? would help a ton. also, which version of spark are u using? they fixed a lot in 3.4, upgrading might solve ur problem if ur on an older version.
I encountered a similar issue with Spark 3.2 last year. It seems to stem from conflicts in memory management and the catalyst optimizer. A workaround that helped me was disabling adaptive query execution by setting spark.sql.adaptive.enabled to false. While this isn’t a perfect solution, it may alleviate the problem. Additionally, if you’re using custom UDFs or complex window functions, there’s a chance they could trigger this behavior, similar to issues documented in old JIRA reports. It might also be worth disabling spark.sql.adaptive.coalescePartitions.enabled, as the adaptive execution can sometimes introduce bugs not present in earlier versions. If the issue persists, consider testing your workload on alternative Spark distributions like Databricks or Amazon EMR to confirm if the issue is consistent across different builds.
Had this exact problem six months ago - drove me crazy for weeks. Fixed it by adding explicit checkpointing at key spots in my pipeline with df.checkpoint() instead of letting Spark handle it automatically. Also check your broadcast variables - they might be corrupting or timing out. My issue got worse because I had nested transformations creating insanely complex DAGs. Break your job into smaller chunks and see where it fails. Half the time the real problem’s nothing like what the error says, especially with these old unresolved JIRA tickets.