Dr Mich Talebzadeh
I’ve never had an issue using the HiveContext without a hive-site.xml configured. However, one issue you may have is if multiple users are starting the HiveContext from the same path, they’ll all be trying to store the default Derby metastore in the same location. Also, if you want them to be able to persist permanent table metadata for SparkSQL then you’ll want to set up a true metastore.
The other thing it could be is Hive dependency collisions from the classpath, but that shouldn’t be an issue since you said it’s standalone (not a Hadoop distro right?).
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
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: 
"To use a
, you do not need to have an existing Hive setup, and all of the data sources available to a
are still available.
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!
(*) 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;"