org.apache.spark.sql.sources.DDLException: Unsupported dataType: [1.1] failure: ``varchar'' expected but identifier char found in spark-sql

[Qiuzhuang Lian]

Hi,

I am not sure this has been reported already or not, I run into this error
under spark-sql shell as build from newest of spark git trunk,

spark-sql> describe qiuzhuang_hcatlog_import;
15/02/17 14:38:36 ERROR SparkSQLDriver: Failed in [describe
qiuzhuang_hcatlog_import]
org.apache.spark.sql.sources.DDLException: Unsupported dataType: [1.1]
failure: ``varchar'' expected but identifier char found

char(32)
^
at org.apache.spark.sql.sources.DDLParser.parseType(ddl.scala:52)
at
org.apache.spark.sql.hive.MetastoreRelation$SchemaAttribute.toAttribute(HiveMetastoreCatalog.scala:664)
at
org.apache.spark.sql.hive.MetastoreRelation$$anonfun$23.apply(HiveMetastoreCatalog.scala:674)
at
org.apache.spark.sql.hive.MetastoreRelation$$anonfun$23.apply(HiveMetastoreCatalog.scala:674)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.AbstractTraversable.map(Traversable.scala:105)
at
org.apache.spark.sql.hive.MetastoreRelation.<init>(HiveMetastoreCatalog.scala:674)
at
org.apache.spark.sql.hive.HiveMetastoreCatalog.lookupRelation(HiveMetastoreCatalog.scala:185)
at org.apache.spark.sql.hive.HiveContext$$anon$2.org
$apache$spark$sql$catalyst$analysis$OverrideCatalog$$super$lookupRelation(HiveContext.scala:234)

As in hive 0.131, console, this commands works,

hive> describe qiuzhuang_hcatlog_import;
OK
id                      char(32)
assistant_no            varchar(20)
assistant_name          varchar(32)
assistant_type          int
grade                   int
shop_no                 varchar(20)
shop_name               varchar(64)
organ_no                varchar(20)
organ_name              varchar(20)
entry_date              string
education               int
commission              decimal(8,2)
tel                     varchar(20)
address                 varchar(100)
identity_card           varchar(25)
sex                     int
birthday                string
employee_type           int
status                  int
remark                  varchar(255)
create_user_no          varchar(20)
create_user             varchar(32)
create_time             string
update_user_no          varchar(20)
update_user             varchar(32)
update_time             string
Time taken: 0.49 seconds, Fetched: 26 row(s)
hive>


Regards,
Qiuzhuang