Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/195#discussion_r10856726
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetRelation.scala ---
@@ -72,16 +73,43 @@ case class ParquetRelation(val tableName: String, val
path: String) extends Base
/** Output **/
override val output = attributes
+ /** Name (dummy value) */
+ // TODO: rethink whether ParquetRelation should inherit from BaseRelation
+ // (currently required to re-use HiveStrategies but should be removed)
+ override def tableName = "parquet"
+
// Parquet files have no concepts of keys, therefore no Partitioner
// Note: we could allow Block level access; needs to be thought through
override def isPartitioned = false
}
object ParquetRelation {
+ // change this to enable/disable Parquet logging
+ var DEBUG: Boolean = false
+
+ // TODO: consider redirecting Parquet's log output to log4j logger and
+ // using config file for log settings
+ def setParquetLogLevel() {
+ val level: Level = if (DEBUG) Level.FINEST else Level.WARNING
--- End diff --
In spark we use slf4j for logging and by default we output to log4j. Are
you finding that parquet logs are going through JUL when you run catalyst? This
means something is not set-up correctly... ideally everything should be routed
through slf4j.
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