Thanks Michal.

I have submitted a Spark issue and PR based on my understanding of why 
this changed in Spark 2.0. If interested you can follow it on 
https://issues.apache.org/jira/browse/SPARK-18687

Regards,
Vinayak.



From:   Michal Šenkýř <bina...@gmail.com>
To:     Vinayak Joshi5/India/IBM@IBMIN, "user.spark" 
<user@spark.apache.org>
Date:   02/12/2016 05:50 AM
Subject:        Re: Spark 2.x Pyspark Spark SQL createDataframe Error



Hello Vinayak,
As I understand it, Spark creates a Derby metastore database in the 
current location, in the metastore_db subdirectory, whenever you first use 
an SQL context. This database cannot be shared by multiple instances.
This should be controlled by the  javax.jdo.option.ConnectionURL property. 
I can imagine that using another kind of metastore database, like an 
in-memory or server-client db, would solve this specific problem. However, 
I do not think it is advisable.
Is there a specific reason why you are creating a second SQL context? I 
think it is meant to be created only once per application and passed 
around.
I also have no idea why the behavior changed between Spark 1.6 and Spark 
2.0.
Michal Šenkýř

On Thu, Dec 1, 2016, 18:33 Vinayak Joshi5 <vijos...@in.ibm.com> wrote:
This is the error received:


16/12/01 22:35:36 ERROR Schema: Failed initialising database.
Unable to open a test connection to the given database. JDBC url = 
jdbc:derby:;databaseName=metastore_db;create=true, username = APP. 
Terminating connection pool (set lazyInit to true if you expect to start 
your database after your app). Original Exception: ------
java.sql.SQLException: Failed to start database 'metastore_db' with class 
loader 
org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1@4494053, see 
the next exception for details.
        at 
org.apache.derby.impl.jdbc.SQLExceptionFactory.getSQLException(Unknown 
Source)
        at 
org.apache.derby.impl.jdbc.SQLExceptionFactory.getSQLException(Unknown 
Source)
        at org.apache.derby.impl.jdbc.Util.seeNextException(Unknown 
Source)
.
.
------

org.datanucleus.exceptions.NucleusDataStoreException: Unable to open a 
test connection to the given database. JDBC url = 
jdbc:derby:;databaseName=metastore_db;create=true, username = APP. 
Terminating connection pool (set lazyInit to true if you expect to start 
your database after your app). Original Exception: ------
java.sql.SQLException: Failed to start database 'metastore_db' with class 
loader 
org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1@519dabfd, 
see the next exception for details.
        at org.apache.derby.impl.jdb
.
.
.
NestedThrowables:
java.sql.SQLException: Unable to open a test connection to the given 
database. JDBC url = jdbc:derby:;databaseName=metastore_db;create=true, 
username = APP. Terminating connection pool (set lazyInit to true if you 
expect to start your database after your app). Original Exception: ------
java.sql.SQLException: Failed to start database 'metastore_db' with class 
loader 
org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1@519dabfd, 
see the next exception for details.
        at 
org.apache.derby.impl.jdbc.SQLExceptionFactory.getSQLException(Unknown 
Source)
.
.
.
Caused by: java.sql.SQLException: Unable to open a test connection to the 
given database. JDBC url = 
jdbc:derby:;databaseName=metastore_db;create=true, username = APP. 
Terminating connection pool (set lazyInit to true if you expect to start 
your database after your app). Original Exception: ------
java.sql.SQLException: Failed to start database 'metastore_db' with class 
loader 
org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1@519dabfd, 
see the next exception for details.
        at 
org.apache.derby.impl.jdbc.SQLExceptionFactory.getSQLException(Unknown 
Source)
        at 
org.apache.derby.impl.jdbc.SQLExceptionFactory.getSQLException(Unknown 
Source)
        at org.apache.derby.impl.jdbc.Util.seeNextException(Unknown 
Source)
        at org.apache.derby.impl.jdbc.EmbedConnection.bootDatabase(Unknown 
Source)
        at org.apache.derby.impl.jdbc.EmbedConnection.<init>(Unknown 
Source)
.
.
.
16/12/01 22:48:09 ERROR Schema: Failed initialising database.
Unable to open a test connection to the given database. JDBC url = 
jdbc:derby:;databaseName=metastore_db;create=true, username = APP. 
Terminating connection pool (set lazyInit to true if you expect to start 
your database after your app). Original Exception: ------
java.sql.SQLException: Failed to start database 'metastore_db' with class 
loader 
org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1@519dabfd, 
see the next exception for details.
        at 
org.apache.derby.impl.jdbc.SQLExceptionFactory.getSQLException(Unknown 
Source)
        at 
org.apache.derby.impl.jdbc.SQLExceptionFactory.getSQLException(Unknown 
Source)
        at org.apache.derby.impl.jdbc.Util.seeNextException(Unknown 
Source)
        at org.apache.derby.impl.jdbc.EmbedConnection.bootDatabase(Unknown 
Source)
        at org.apache.derby.impl.jdbc.EmbedConnection.<init>(Unknown 
Source)
.
.
.
Caused by: java.sql.SQLException: Failed to start database 'metastore_db' 
with class loader 
org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1@519dabfd, 
see the next exception for details.
        at 
org.apache.derby.impl.jdbc.SQLExceptionFactory.getSQLException(Unknown 
Source)
        at 
org.apache.derby.impl.jdbc.SQLExceptionFactory.getSQLException(Unknown 
Source)
        at org.apache.derby.impl.jdbc.Util.seeNextException(Unknown 
Source)
        at org.apache.derby.impl.jdbc.EmbedConnection.bootDatabase(Unknown 
Source)
        at org.apache.derby.impl.jdbc.EmbedConnection.<init>(Unknown 
Source)
.
.
.

Caused by: ERROR XJ040: Failed to start database 'metastore_db' with class 
loader 
org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1@519dabfd, 
see the next exception for details.
        at 
org.apache.derby.iapi.error.StandardException.newException(Unknown Source)
        at 
org.apache.derby.impl.jdbc.SQLExceptionFactory.wrapArgsForTransportAcrossDRDA(Unknown
 
Source)
        ... 111 more
Caused by: ERROR XSDB6: Another instance of Derby may have already booted 
the database 
/Users/vinayak/devel/spark-stc/git_repo/spark-master-x/spark/metastore_db.
        at 
org.apache.derby.iapi.error.StandardException.newException(Unknown Source)
        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)
        at org.apache.derby.impl.services.monitor.BaseMonitor.boot(Unknown 
Source)


Regards,
Vinayak Joshi



From:        Vinayak Joshi5/India/IBM@IBMIN
To:        "user.spark" <user@spark.apache.org>
Date:        01/12/2016 10:53 PM
Subject:        Spark 2.x Pyspark Spark SQL createDataframe Error



With a local spark instance built with hive support, (-Pyarn -Phadoop-2.6 
-Dhadoop.version=2.6.0 -Phive -Phive-thriftserver)

The following script/sequence works in Pyspark without any error against 
1.6.x, but fails with 2.x. 

people = sc.parallelize(["Michael,30", "Andy,12", "Justin,19"])
peoplePartsRDD = people.map(lambda p: p.split(","))
peopleRDD = peoplePartsRDD.map(lambda p: pyspark.sql.Row(name=p[0], 
age=int(p[1])))
peopleDF= sqlContext.createDataFrame(peopleRDD)
peopleDF.first()

sqlContext2 = SQLContext(sc)
people2 = sc.parallelize(["Abcd,40", "Efgh,14", "Ijkl,16"])
peoplePartsRDD2 = people2.map(lambda l: l.split(","))
peopleRDD2 = peoplePartsRDD2.map(lambda p: pyspark.sql.Row(fname=p[0], 
age=int(p[1])))
peopleDF2 = sqlContext2.createDataFrame(peopleRDD2) # <==== error here


The error goes away if sqlContext2 is replaced with sqlContext in the 
error line. Is this a regression, or has something changed that makes this 
the expected behavior in Spark 2.x ?

Regards,
Vinayak







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