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https://issues.apache.org/jira/browse/SPARK-5451?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-5451:
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Target Version/s: 1.5.0 (was: 1.4.0)
> And predicates are not properly pushed down
> -------------------------------------------
>
> Key: SPARK-5451
> URL: https://issues.apache.org/jira/browse/SPARK-5451
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 1.2.0, 1.2.1
> Reporter: Cheng Lian
> Priority: Critical
>
> This issue is actually caused by PARQUET-173.
> The following {{spark-shell}} session can be used to reproduce this bug:
> {code}
> import org.apache.spark.sql.SQLContext
> val sqlContext = new SQLContext(sc)
> import sc._
> import sqlContext._
> case class KeyValue(key: Int, value: String)
> parallelize(1 to 1024 * 1024 * 20).
> flatMap(i => Seq.fill(10)(KeyValue(i, i.toString))).
> saveAsParquetFile("large.parquet")
> parquetFile("large.parquet").registerTempTable("large")
> hadoopConfiguration.set("parquet.task.side.metadata", "false")
> sql("SET spark.sql.parquet.filterPushdown=true")
> sql("SELECT value FROM large WHERE 1024 < value AND value < 2048").collect()
> {code}
> From the log we can find:
> {code}
> There were no row groups that could be dropped due to filter predicates
> {code}
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