codope commented on code in PR #6154:
URL: https://github.com/apache/hudi/pull/6154#discussion_r927021771
##########
hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/DefaultSource.scala:
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@@ -56,6 +56,9 @@ class DefaultSource extends RelationProvider
// Enable "passPartitionByAsOptions" to support "write.partitionBy(...)"
spark.conf.set("spark.sql.legacy.sources.write.passPartitionByAsOptions",
"true")
}
+ // Revisit EMR Spark and EMRFS incompatibilities, for now disable
+ spark.conf.set("spark.sql.dataPrefetch.enabled", "false")
+
spark.sparkContext.hadoopConfiguration.set("fs.s3.metadata.cache.expiration.seconds",
"0")
Review Comment:
Shouldn't this be guarded by a Hudi config as it is an issue on EmrFs?
Also, I did not find any documentation for
`fs.s3.metadata.cache.expiration.seconds` config in
https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/s3guard.html?
Have we tested this change?
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