Michael Armbrust created SPARK-14463:
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Summary: 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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