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Posted to issues@spark.apache.org by "Boyang Jerry Peng (Jira)" <ji...@apache.org> on 2022/01/20 19:20:00 UTC
[jira] [Created] (SPARK-37973) Directly call super.getDefaultReadLimit when scala issue 12523 is fixed
Boyang Jerry Peng created SPARK-37973:
-----------------------------------------
Summary: Directly call super.getDefaultReadLimit when scala issue 12523 is fixed
Key: SPARK-37973
URL: https://issues.apache.org/jira/browse/SPARK-37973
Project: Spark
Issue Type: Task
Components: Spark Core
Affects Versions: 3.2.0
Reporter: Boyang Jerry Peng
In regards to [https://github.com/apache/spark/pull/35238] and more specifically these lines:
[https://github.com/apache/spark/pull/35238/files#diff-c9def1b07e12775929ebc58e107291495a48461f516db75acc4af4b6ce8b4dc7R106]
[https://github.com/apache/spark/pull/35238/files#diff-1ab03f750a3cbd95b7a84bb0c6bb6c6600c79dcb20ea2b43dd825d9aedab9656R140]
```scala
maxOffsetsPerTrigger.map(ReadLimit.maxRows).getOrElse(super.getDefaultReadLimit)
```
needed to be changed to
```scala
maxOffsetsPerTrigger.map(ReadLimit.maxRows).getOrElse({*}ReadLimit.allAvailable(){*})
```
Because of a bug in the scala compiler documented here:
[https://github.com/scala/bug/issues/12523]
After this bug is fixed we can revert this change, i.e. back to using `super.getDefaultReadLimit`
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