Hi,
I'm helping some folks setting up an analytics cluster with Spark.
They want to use the HiveContext to enable the Window functions on
DataFrames(*) but they don't have any Hive installation, nor they need one
at the moment (if not necessary for this feature)
When we try to create a Hive context, we get the following error:
> val sqlContext = new org.apache.spark.sql.hive.HiveContext(sparkContext)
java.lang.RuntimeException: java.lang.RuntimeException: Unable to
instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
at
org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522)
Is my HiveContext failing b/c it wants to connect to an unconfigured Hive
Metastore?
Is there a way to instantiate a HiveContext for the sake of Window support
without an underlying Hive deployment?
The docs are explicit in saying that that is should be the case: [1]
"To use a HiveContext, you do not need to have an existing Hive setup, and
all of the data sources available to aSQLContext are still available.
HiveContext is only packaged separately to avoid including all of Hive’s
dependencies in the default Spark build."
So what is the right way to address this issue? How to instantiate a
HiveContext with spark running on a HDFS cluster without Hive deployed?
Thanks a lot!
-Gerard.
(*) The need for a HiveContext to use Window functions is pretty obscure.
The only documentation of this seems to be a runtime exception: "
org.apache.spark.sql.AnalysisException: Could not resolve window function
'max'. Note that, using window functions currently requires a HiveContext;"
[1]
http://spark.apache.org/docs/latest/sql-programming-guide.html#getting-started
