Github user Parth-Brahmbhatt commented on a diff in the pull request:
https://github.com/apache/spark/pull/13150#discussion_r63968104
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/MetastoreRelation.scala ---
@@ -114,17 +115,27 @@ private[hive] case class MetastoreRelation(
val rawDataSize =
hiveQlTable.getParameters.get(StatsSetupConst.RAW_DATA_SIZE)
// TODO: check if this estimate is valid for tables after partition
pruning.
// NOTE: getting `totalSize` directly from params is kind of hacky,
but this should be
- // relatively cheap if parameters for the table are populated into
the metastore. An
- // alternative would be going through Hadoop's FileSystem API, which
can be expensive if a lot
- // of RPCs are involved. Besides `totalSize`, there are also
`numFiles`, `numRows`,
- // `rawDataSize` keys (see StatsSetupConst in Hive) that we can look
at in the future.
+ // relatively cheap if parameters for the table are populated into
the metastore.
+ // Besides `totalSize`, there are also `numFiles`, `numRows`,
`rawDataSize` keys
+ // (see StatsSetupConst in Hive) that we can look at in the future.
BigInt(
// When table is external,`totalSize` is always zero, which will
influence join strategy
// so when `totalSize` is zero, use `rawDataSize` instead
- // if the size is still less than zero, we use default size
+ // if the size is still less than zero, we try to get the file
size from HDFS.
+ // given this is only needed for optimization, if the HDFS call
fails we return the default.
Option(totalSize).map(_.toLong).filter(_ > 0)
.getOrElse(Option(rawDataSize).map(_.toLong).filter(_ > 0)
- .getOrElse(sparkSession.sessionState.conf.defaultSizeInBytes)))
+ .getOrElse({
+ val hadoopConf = sparkSession.sessionState.newHadoopConf()
+ val fs: FileSystem =
hiveQlTable.getPath.getFileSystem(hadoopConf)
+ try {
+ fs.getContentSummary(hiveQlTable.getPath).getLength
+ } catch {
+ case e: Exception =>
+ log.warn("Failed to get table size from hdfs.", e)
--- End diff --
updated.
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