HeartSaVioR commented on a change in pull request #25333: [SPARK-28597][SS] Add
config to retry spark streaming's meta log when it met error
URL: https://github.com/apache/spark/pull/25333#discussion_r310841725
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLog.scala
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@@ -133,7 +140,12 @@ class HDFSMetadataLog[T <: AnyRef :
ClassTag](sparkSession: SparkSession, path:
s"Multiple streaming queries are concurrently using $path", e)
case e: Throwable =>
output.cancel()
- throw e
+ if (retryCount > metaDataNumRetries) {
+ throw new IOException(
+ s"Failed to write meta data log after retry $metaDataNumRetries
count", e)
+ } else {
+ writeBatchToFileWithRetries(metadata, path, retryCount + 1)
Review comment:
I understand what @gaborgsomogyi meant as use loop instead of recursive
call, especially it's fairly easy to just use loop. This is even not a tail
recursive so while I guess retryCount will be small number in practice it's not
a good idea to do so.
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