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hadoop - Caused by: ERROR XSDB6: Another instance of Derby may have already booted the database

I am trying to run SparkSQL :

val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)  

But the error i m getting is below:

        ... 125 more
Caused by: java.sql.SQLException: Another instance of Derby may have already booted the database /root/spark/bin/metastore_db.
        at org.apache.derby.impl.jdbc.SQLExceptionFactory.getSQLException(Unknown Source)
        at org.apache.derby.impl.jdbc.SQLExceptionFactory40.wrapArgsForTransportAcrossDRDA(Unknown Source)
        at org.apache.derby.impl.jdbc.SQLExceptionFactory40.getSQLException(Unknown Source)
        at org.apache.derby.impl.jdbc.Util.generateCsSQLException(Unknown Source)
        ... 122 more
Caused by: ERROR XSDB6: Another instance of Derby may have already booted the database /root/spark/bin/metastore_db.
        at org.apache.derby.iapi.error.StandardException.newException(Unknown Source)
        at org.apache.derby.impl.store.raw.data.BaseDataFileFactory.privGetJBMSLockOnDB(Unknown Source)
        at org.apache.derby.impl.store.raw.data.BaseDataFileFactory.run(Unknown Source)
        at java.security.AccessController.doPrivileged(Native Method)
        at org.apache.derby.impl.store.raw.data.BaseDataFileFactory.getJBMSLockOnDB(Unknown Source)
        at org.apache.derby.impl.store.raw.data.BaseDataFileFactory.boot(Unknown Source)

I see there is a metastore_db folder exists..
My hive metastore includes mysql as metastore.But not sure why the error shows as derby execption

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I was getting the same error while creating Data frames on Spark Shell :

Caused by: ERROR XSDB6: Another instance of Derby may have already booted the database /metastore_db.

Cause:

I found that this is happening as there were multiple other instances of Spark-Shell already running and holding derby DB already, so when i was starting yet another Spark Shell and creating Data Frame on it using RDD.toDF() it was throwing error:

Solution:

I ran the ps command to find other instances of Spark-Shell:

ps -ef | grep spark-shell

and i killed them all using kill command:

kill -9 Spark-Shell-processID ( example: kill -9 4848)

after all the SPark-Shell instances were gone, i started a new SPark SHell and reran my Data frame function and it ran just fine :)


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