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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2014/08/27 22:14:58 UTC

[jira] [Resolved] (SPARK-3138) sqlContext.parquetFile should be able to take a single file as parameter

     [ https://issues.apache.org/jira/browse/SPARK-3138?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-3138.
-------------------------------------

       Resolution: Fixed
    Fix Version/s: 1.1.0

> sqlContext.parquetFile should be able to take a single file as parameter
> ------------------------------------------------------------------------
>
>                 Key: SPARK-3138
>                 URL: https://issues.apache.org/jira/browse/SPARK-3138
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Teng Qiu
>             Fix For: 1.1.0
>
>
> http://apache-spark-user-list.1001560.n3.nabble.com/sqlContext-parquetFile-path-fails-if-path-is-a-file-but-succeeds-if-a-directory-tp12345.html
> to reproduce this issue in spark-shell
> {code:java}
> val sqlContext = new org.apache.spark.sql.SQLContext(sc)
> import sqlContext._
> import org.apache.hadoop.fs.{FileSystem, Path}
> case class TestRDDEntry(key: Int, value: String)
> val path = "/tmp/parquet_test"
> sc.parallelize((1 to 100)).map(i => TestRDDEntry(i, s"val_$i")).coalesce(1).saveAsParquetFile(path)
> val fsPath = new Path(path)
> val fs: FileSystem = fsPath.getFileSystem(sc.hadoopConfiguration)
> val children = fs.listStatus(fsPath).filter(_.getPath.getName.endsWith(".parquet"))
> val readFile = sqlContext.parquetFile(path + "/" + children(0).getPath.getName)
> {code}
> it throws exception:
> {code}
> java.lang.IllegalArgumentException: Expected file:/tmp/parquet_test/part-r-1.parquet for be a directory with Parquet files/metadata
>         at org.apache.spark.sql.parquet.ParquetTypesConverter$.readMetaData(ParquetTypes.scala:374)
>         at org.apache.spark.sql.parquet.ParquetTypesConverter$.readSchemaFromFile(ParquetTypes.scala:414)
>         at org.apache.spark.sql.parquet.ParquetRelation.<init>(ParquetRelation.scala:66)
> {code}



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