[jira] [Commented] (SPARK-14463) read.text broken for partitioned tables

["Michael Armbrust (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-14463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15230946#comment-15230946 ] 

Michael Armbrust commented on SPARK-14463:
------------------------------------------

[~rxin]

> read.text broken for partitioned tables
> ---------------------------------------
>
>                 Key: SPARK-14463
>                 URL: https://issues.apache.org/jira/browse/SPARK-14463
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Michael Armbrust
>            Priority: Critical
>
> Strongly typing the return values of {{read.text}} as {{Dataset\[String]}} breaks when trying to load a partitioned table (or any table where the path looks partitioned)
> {code}
> Seq((1, "test"))
>   .toDF("a", "b")
>   .write
>   .format("text")
>   .partitionBy("a")
>   .save("/home/michael/text-part-bug")
> sqlContext.read.text("/home/michael/text-part-bug")
> {code}
> {code}
> org.apache.spark.sql.AnalysisException: Try to map struct<value:string,a:int> to Tuple1, but failed as the number of fields does not line up.
>  - Input schema: struct<value:string,a:int>
>  - Target schema: struct<value:string>;
> 	at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.org$apache$spark$sql$catalyst$encoders$ExpressionEncoder$$fail$1(ExpressionEncoder.scala:265)
> 	at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.validate(ExpressionEncoder.scala:279)
> 	at org.apache.spark.sql.Dataset.<init>(Dataset.scala:197)
> 	at org.apache.spark.sql.Dataset.<init>(Dataset.scala:168)
> 	at org.apache.spark.sql.Dataset$.apply(Dataset.scala:57)
> 	at org.apache.spark.sql.Dataset.as(Dataset.scala:357)
> 	at org.apache.spark.sql.DataFrameReader.text(DataFrameReader.scala:450)
> {code}



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