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https://issues.apache.org/jira/browse/SPARK-9685?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14660002#comment-14660002
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Ángel Álvarez commented on SPARK-9685:
--------------------------------------
I've tried to fix it by adding the "char" DataType to this DataTypeParser class
...
{code}
"(?i)timestamp".r ^^^ TimestampType |
varchar |
char
protected lazy val char: Parser[DataType] =
"(?i)char".r ~> "(" ~> (numericLit <~ ")") ^^^ StringType
{code}
... but now I'm getting this ...
{code}
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to
stage failure: Task 0.0 in stage 0.0 (TID 0) had a not serializable result:
org.apache.hadoop.hive.common.type.HiveChar
Serialization stack:
- object not serializable (class:
org.apache.hadoop.hive.common.type.HiveChar, value: 00000008)
- element of array (index: 0)
- array (class [Ljava.lang.Object;, size 44)
- field (class:
org.apache.spark.sql.catalyst.expressions.GenericInternalRow, name: values,
type: class [Ljava.lang.Object;)
- object (class
org.apache.spark.sql.catalyst.expressions.GenericInternalRow,
[<my_data_fields>])
- element of array (index: 0)
- array (class [Lorg.apache.spark.sql.catalyst.InternalRow;, size 21)
{code}
> "Unsupported dataType: char(X)" in Hive
> ---------------------------------------
>
> Key: SPARK-9685
> URL: https://issues.apache.org/jira/browse/SPARK-9685
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Ángel Álvarez
>
> I'm getting the following error when I try to read a Hive table with char(X)
> fields:
> {code}
> 15/08/06 11:38:51 INFO parse.ParseDriver: Parse Completed
> org.apache.spark.sql.types.DataTypeException: Unsupported dataType: char(8).
> If you have a struct and a field name of it has any special characters,
> please use backticks (`) to quote that field name, e.g. `x+y`. Please note
> that backtick itself is not supported in a field name.
> at
> org.apache.spark.sql.types.DataTypeParser$class.toDataType(DataTypeParser.scala:95)
> at
> org.apache.spark.sql.types.DataTypeParser$$anon$1.toDataType(DataTypeParser.scala:107)
> at
> org.apache.spark.sql.types.DataTypeParser$.parse(DataTypeParser.scala:111)
> at
> org.apache.spark.sql.hive.HiveMetastoreTypes$.toDataType(HiveMetastoreCatalog.scala:769)
> at
> org.apache.spark.sql.hive.MetastoreRelation$SchemaAttribute.toAttribute(HiveMetastoreCatalog.scala:742)
> at
> org.apache.spark.sql.hive.MetastoreRelation$$anonfun$44.apply(HiveMetastoreCatalog.scala:752)
> at
> org.apache.spark.sql.hive.MetastoreRelation$$anonfun$44.apply(HiveMetastoreCatalog.scala:752)
> {code}
> It seems there is no "char" DataType defined in the DataTypeParser class
> {code}
> protected lazy val primitiveType: Parser[DataType] =
> "(?i)string".r ^^^ StringType |
> "(?i)float".r ^^^ FloatType |
> "(?i)(?:int|integer)".r ^^^ IntegerType |
> "(?i)tinyint".r ^^^ ByteType |
> "(?i)smallint".r ^^^ ShortType |
> "(?i)double".r ^^^ DoubleType |
> "(?i)(?:bigint|long)".r ^^^ LongType |
> "(?i)binary".r ^^^ BinaryType |
> "(?i)boolean".r ^^^ BooleanType |
> fixedDecimalType |
> "(?i)decimal".r ^^^ DecimalType.USER_DEFAULT |
> "(?i)date".r ^^^ DateType |
> "(?i)timestamp".r ^^^ TimestampType |
> varchar
> {code}
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