Thanks Mark, that answers my question.
On Tue, Feb 16, 2016 at 10:55 AM, Mark Hamstra <m...@clearstorydata.com>
wrote:
> Welcome to
>
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> /___/ .__/\_,_/_/ /_/\_\ version 2.0.0-SNAPSHOT
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> /_/
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> Using Scala version 2.11.7 (Java HotSpot(TM) 64-Bit Server VM, Java
> 1.8.0_72)
>
> Type in expressions to have them evaluated.
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> Type :help for more information.
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>
> scala> sqlContext.isInstanceOf[org.apache.spark.sql.hive.HiveContext]
>
> res0: Boolean = true
>
>
>
> On Mon, Feb 15, 2016 at 8:51 PM, Prabhu Joseph <prabhujose.ga...@gmail.com
> > wrote:
>
>> Hi All,
>>
>> On creating HiveContext in spark-shell, fails with
>>
>> Caused by: ERROR XSDB6: Another instance of Derby may have already booted
>> the database /SPARK/metastore_db.
>>
>> Spark-Shell already has created metastore_db for SqlContext.
>>
>> Spark context available as sc.
>> SQL context available as sqlContext.
>>
>> But without HiveContext, i am able to query the data using SqlContext .
>>
>> scala> var df =
>> sqlContext.read.format("com.databricks.spark.csv").option("header",
>> "true").option("inferSchema", "true").load("/SPARK/abc")
>> df: org.apache.spark.sql.DataFrame = [Prabhu: string, Joseph: string]
>>
>> So is there any real need for HiveContext inside Spark Shell. Is
>> everything that can be done with HiveContext, achievable with SqlContext
>> inside Spark Shell.
>>
>>
>>
>> Thanks,
>> Prabhu Joseph
>>
>>
>>
>>
>>
>
