Github user Parth-Brahmbhatt commented on a diff in the pull request: https://github.com/apache/spark/pull/13150#discussion_r63627480 --- 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({ --- End diff -- What alternative was chosen as more readable/less confusing?
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org