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From "Mich Talebzadeh" <m...@peridale.co.uk>
Subject RE: Answers to recent questions on Hive on Spark
Date Sat, 28 Nov 2015 17:33:32 GMT
Hi Xuefu,

 

Thanks for the response. I did the changes as requested (coping the assembly jar file from
build to $HIVE_HOME/lib). I will give full response when I get the debug outpout

 

In summary when I ran the sql query from Hive and expected Spark to act as execution engine,
it came back with client connection error.

 

Cruically I noticed that it was trying to connect to eth1 (the internet connection) as opposed
to eth0 (the local network. This host has two Ethernet cards one for local area network and
the other for linternet (directly no proxy)

 

It suggested that I can change the address using the configuration parameter hive.spark.client.server.address

 

Now I don’t seem to be able to set it up in hive-site.xml or as a set parameter in hive
prompt itself!

 

Any hint would be appreciated or any work around?

 

Regards,

 

Mich

 

From: Xuefu Zhang [mailto:xzhang@cloudera.com] 
Sent: 28 November 2015 04:35
To: user@hive.apache.org
Cc: dev@hive.apache.org
Subject: Re: Answers to recent questions on Hive on Spark

 

Okay. I think I know what problem you have now. To run Hive on Spark, spark-assembly.jar is
needed and it's also recommended that you have a spark installation (identified by spark.home)
on the same host where HS2 is running. You only need spark-assembly.jar in HS2's /lib directory.
Other than those, Hive on Spark doesn't have any other dependency at service level. On the
job level, Hive on Spark jobs of course run on a spark cluster, which could be standalone,
yarn-cluster, etc. However, how you get the binaries for your spark cluster and how you start
them is completely independent of Hive.

Thus, you only need to build the spark-assembly.jar w/o HIve and put it in Hive's /lib directory.
The one in the existing spark build may contain Hive classes and that's why you need to build
your own. Your spark installation can still have a jar that's different from what you build
for Hive on Spark. Your spark.home can still point to your existing spark installation. In
fact, Hive on Spark only needs spark-submit from your Spark installation. Therefore, you should
be okay even if your spark installation contains Hive classes.

By following this, I'm sure you will get your Hive on Spark to work. Depending on the Hive
version that your spark installation contains, you may have problem with spark applications
such as SparkSQL, but it shouldn't be a concern if you decide that you use Hive in Hive.

Let me know if you are still confused.

Thanks,

Xuefu

 

On Fri, Nov 27, 2015 at 4:34 PM, Mich Talebzadeh <mich@peridale.co.uk <mailto:mich@peridale.co.uk>
> wrote:

Hi,

 

Thanks for heads up and comments.

 

Sounds like when it comes to using spark as the execution engine for Hive, we are in no man’s
land so to speak. I have opened questions in both Hive and Spark user forums. Not much of
luck for reasons that you alluded to.

 

Ok just to clarify the prebuild version of spark (as opposed get the source code and build
your spec) works fine for me.

 

Components are

 

hadoop version

Hadoop 2.6.0

 

hive --version

Hive 1.2.1

 

Spark 

version 1.5.2

 

It does what it says on the tin. For example I can start the master node OK start-master.sh.


 

 

Spark Command: /usr/java/latest/bin/java -cp /usr/lib/spark_1.5.2_bin/sbin/../conf/:/usr/lib/spark_1.5.2_bin/lib/spark-assembly-1.5.2-hadoop2.6.0.jar:/usr/lib/spark_1.5.2_bin/lib/datanucleus-core-3.2.10.jar:/usr/lib/spark_1.5.2_bin/lib/datanucleus-api-jdo-3.2.6.jar:/usr/lib/spark_1.5.2_bin/lib/datanucleus-rdbms-3.2.9.jar:/home/hduser/hadoop-2.6.0/etc/hadoop/
-Xms1g -Xmx1g -XX:MaxPermSize=256m org.apache.spark.deploy.master.Master --ip 127.0.0.1 --port
7077 --webui-port 8080

========================================

15/11/28 00:05:23 INFO master.Master: Registered signal handlers for [TERM, HUP, INT]

15/11/28 00:05:23 WARN util.Utils: Your hostname, rhes564 resolves to a loopback address:
127.0.0.1; using 50.140.197.217 instead (on interface eth0)

15/11/28 00:05:23 WARN util.Utils: Set SPARK_LOCAL_IP if you need to bind to another address

15/11/28 00:05:24 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your
platform... using builtin-java classes where applicable

15/11/28 00:05:24 INFO spark.SecurityManager: Changing view acls to: hduser

15/11/28 00:05:24 INFO spark.SecurityManager: Changing modify acls to: hduser

15/11/28 00:05:24 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui
acls disabled; users with view permissions: Set(hduser); users with modify permissions: Set(hduser)

15/11/28 00:05:25 INFO slf4j.Slf4jLogger: Slf4jLogger started

15/11/28 00:05:25 INFO Remoting: Starting remoting

15/11/28 00:05:25 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkMaster@127.0.0.1:7077
<http://sparkMaster@127.0.0.1:7077> ]

15/11/28 00:05:25 INFO util.Utils: Successfully started service 'sparkMaster' on port 7077.

15/11/28 00:05:25 INFO master.Master: Starting Spark master at spark://127.0.0.1:7077 <http://127.0.0.1:7077>


15/11/28 00:05:25 INFO master.Master: Running Spark version 1.5.2

15/11/28 00:05:25 INFO server.Server: jetty-8.y.z-SNAPSHOT

15/11/28 00:05:25 INFO server.AbstractConnector: Started SelectChannelConnector@0.0.0.0:8080
<http://SelectChannelConnector@0.0.0.0:8080> 

15/11/28 00:05:25 INFO util.Utils: Successfully started service 'MasterUI' on port 8080.

15/11/28 00:05:25 INFO ui.MasterWebUI: Started MasterWebUI at http://50.140.197.217:8080

15/11/28 00:05:25 INFO server.Server: jetty-8.y.z-SNAPSHOT

15/11/28 00:05:25 INFO server.AbstractConnector: Started SelectChannelConnector@rhes564:6066

15/11/28 00:05:25 INFO util.Utils: Successfully started service on port 6066.

15/11/28 00:05:25 INFO rest.StandaloneRestServer: Started REST server for submitting applications
on port 6066

15/11/28 00:05:25 INFO master.Master: I have been elected leader! New state: ALIVE

 

However, I cannot use spark in place of MapReduce engine with this build. It fails 

 

The instruction says download the source code for spark and build it by excluding Hive jar
files so that you can use spark as the execution engine

 

Ok

 

I downloaded spark 1.5.2 source code and used the following to create the tarred and zipped
file

 

./make-distribution.sh --name "hadoop2-without-hive" --tgz "-Pyarn,hadoop-provided,hadoop-2.4,parquet-provided"

 

After unpacking the file, I attempted to start the master node as above start-master.sh, However,
regrettably it fails with the following error

 

 

Spark Command: /usr/java/latest/bin/java -cp /usr/lib/spark_1.5.2_build/sbin/../conf/:/usr/lib/spark_1.5.2_build/lib/spark-assembly-1.5.2-hadoop2.4.0.jar:/home/hduser/hadoop-2.6.0/etc/hadoop/
-Xms1g -Xmx1g -XX:MaxPermSize=256m org.apache.spark.deploy.master.Master --ip 127.0.0.1 --port
7077 --webui-port 8080

========================================

Exception in thread "main" java.lang.NoClassDefFoundError: org/slf4j/Logger

        at java.lang.Class.getDeclaredMethods0(Native Method)

        at java.lang.Class.privateGetDeclaredMethods(Class.java:2521)

        at java.lang.Class.getMethod0(Class.java:2764)

        at java.lang.Class.getMethod(Class.java:1653)

        at sun.launcher.LauncherHelper.getMainMethod(LauncherHelper.java:494)

        at sun.launcher.LauncherHelper.checkAndLoadMain(LauncherHelper.java:486)

Caused by: java.lang.ClassNotFoundException: org.slf4j.Logger

        at java.net.URLClassLoader$1.run(URLClassLoader.java:366)

        at java.net.URLClassLoader$1.run(URLClassLoader.java:355)

        at java.security.AccessController.doPrivileged(Native Method)

        at java.net.URLClassLoader.findClass(URLClassLoader.java:354)

        at java.lang.ClassLoader.loadClass(ClassLoader.java:424)

        at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)

        at java.lang.ClassLoader.loadClass(ClassLoader.java:357)

        ... 6 more 

 

 

I believe the problem lies in spark-assembly-1.5.2-hadoop2.4.0.jar file. Case in point, if
I copy the jar file spark-assembly-1.5.2-hadoop2.6.0.jar to the lib directory above , I can
start the master node.

 

hduser@rhes564::/usr/lib/spark_1.5.2_build/lib <mailto:hduser@rhes564::/usr/lib/spark_1.5.2_build/lib>
> mv spark-assembly-1.5.2-hadoop2.4.0.jar spark-assembly-1.5.2-hadoop2.4.0.jar_old

hduser@rhes564::/usr/lib/spark_1.5.2_build/lib <mailto:hduser@rhes564::/usr/lib/spark_1.5.2_build/lib>
> cp /usr/lib/spark_1.5.2_bin/lib/spark-assembly-1.5.2-hadoop2.6.0.jar .

 

hduser@rhes564::/usr/lib/spark_1.5.2_build/lib <mailto:hduser@rhes564::/usr/lib/spark_1.5.2_build/lib>
> cd ../sbin

hduser@rhes564::/usr/lib/spark_1.5.2_build/sbin <mailto:hduser@rhes564::/usr/lib/spark_1.5.2_build/sbin>
> start-master.sh

starting org.apache.spark.deploy.master.Master, logging to /usr/lib/spark_1.5.2_build/sbin/../logs/spark-hduser-org.apache.spark.deploy.master.Master-1-rhes564.out

hduser@rhes564::/usr/lib/spark_1.5.2_build/sbin <mailto:hduser@rhes564::/usr/lib/spark_1.5.2_build/sbin>
> cat /usr/lib/spark_1.5.2_build/sbin/../logs/spark-hduser-org.apache.spark.deploy.master.Master-1-rhes564.out

Spark Command: /usr/java/latest/bin/java -cp /usr/lib/spark_1.5.2_build/sbin/../conf/:/usr/lib/spark_1.5.2_build/lib/spark-assembly-1.5.2-hadoop2.6.0.jar:/home/hduser/hadoop-2.6.0/etc/hadoop/
-Xms1g -Xmx1g -XX:MaxPermSize=256m org.apache.spark.deploy.master.Master --ip 50.140.197.217
--port 7077 --webui-port 8080

========================================

15/11/28 00:31:24 INFO master.Master: Registered signal handlers for [TERM, HUP, INT]

15/11/28 00:31:25 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your
platform... using builtin-java classes where applicable

15/11/28 00:31:25 INFO spark.SecurityManager: Changing view acls to: hduser

15/11/28 00:31:25 INFO spark.SecurityManager: Changing modify acls to: hduser

15/11/28 00:31:25 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui
acls disabled; users with view permissions: Set(hduser); users with modify permissions: Set(hduser)

15/11/28 00:31:25 INFO slf4j.Slf4jLogger: Slf4jLogger started

15/11/28 00:31:26 INFO Remoting: Starting remoting

15/11/28 00:31:26 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkMaster@50.140.197.217:7077
<http://sparkMaster@50.140.197.217:7077> ]

15/11/28 00:31:26 INFO util.Utils: Successfully started service 'sparkMaster' on port 7077.

15/11/28 00:31:26 INFO master.Master: Starting Spark master at spark://50.140.197.217:7077
<http://50.140.197.217:7077> 

15/11/28 00:31:26 INFO master.Master: Running Spark version 1.5.2

15/11/28 00:31:26 INFO server.Server: jetty-8.y.z-SNAPSHOT

15/11/28 00:31:26 INFO server.AbstractConnector: Started SelectChannelConnector@0.0.0.0:8080
<http://SelectChannelConnector@0.0.0.0:8080> 

15/11/28 00:31:26 INFO util.Utils: Successfully started service 'MasterUI' on port 8080.

15/11/28 00:31:26 INFO ui.MasterWebUI: Started MasterWebUI at http://50.140.197.217:8080

15/11/28 00:31:26 INFO server.Server: jetty-8.y.z-SNAPSHOT

15/11/28 00:31:26 INFO server.AbstractConnector: Started SelectChannelConnector@c-50-140-197-217.hsd1.fl.comcast.net:6066
<http://SelectChannelConnector@c-50-140-197-217.hsd1.fl.comcast.net:6066> 

15/11/28 00:31:26 INFO util.Utils: Successfully started service on port 6066.

15/11/28 00:31:26 INFO rest.StandaloneRestServer: Started REST server for submitting applications
on port 6066

15/11/28 00:31:27 INFO master.Master: I have been elected leader! New state: ALIVE

 

Thanks again.

 

 

Mich Talebzadeh

 

Sybase ASE 15 Gold Medal Award 2008

A Winning Strategy: Running the most Critical Financial Data on ASE 15

http://login.sybase.com/files/Product_Overviews/ASE-Winning-Strategy-091908.pdf

Author of the books "A Practitioner’s Guide to Upgrading to Sybase ASE 15", ISBN 978-0-9563693-0-7.


co-author "Sybase Transact SQL Guidelines Best Practices", ISBN 978-0-9759693-0-4

Publications due shortly:

Complex Event Processing in Heterogeneous Environments, ISBN: 978-0-9563693-3-8

Oracle and Sybase, Concepts and Contrasts, ISBN: 978-0-9563693-1-4, volume one out shortly

 

http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> 

 

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From: Xuefu Zhang [mailto:xzhang@cloudera.com <mailto:xzhang@cloudera.com> ] 
Sent: 27 November 2015 18:12
To: user@hive.apache.org <mailto:user@hive.apache.org> ; dev@hive.apache.org <mailto:dev@hive.apache.org>

Subject: Answers to recent questions on Hive on Spark

 

Hi there,

There seemed an increasing interest in Hive On Spark From the Hive users. I understand that
there have been a few questions or problems reported and I can see some frustration sometimes.
It's impossible for Hive on Spark team to respond every inquiry even thought we wish we could.
However, there are a few items to be noted:

1. Hive on Spark is being tested as part of Precommit test.

2. Hive on Spark is supported in some distributions such as CDH.

3. I tried a couple of days ago with latest master and branch-1, and they all worked with
my Spark 1.5 build.

Therefore, if you are facing some problem, it's likely due to your setup. Please refer to
Wiki on how to do it right. Nevertheless, I have a few suggestions here:

1. Start with simple. Try out a CDH sandbox or distribution first and to see it works in action
before building your own. Comparing with your setup may give you some clues.

2. Try with spark.master=local first, making sure that you have all the necessary dependent
jars, and then move to your production setup. Please note that yarn-cluster is recommended
and mesos is not supported. I tried both yarn-cluster and local-cluster and both worked for
me.

3. Check logs beyond hive.log such as spark log, and yarn-log to get more error messages.

When you report your problem, please provide as much info as possible, such as your platform,
your builds, your configurations, and relevant logs so that others can reproduce.

Please note that we are not in a good position to answer questions with respect to Spark itself,
such as spark-shell. Not only is that beyond the scope of Hive on Scope, but also the team
may not have the expertise to give your meaningful answers. One thing to emphasize. When you
build your spark jar, don't include Hive, as it's very likely there is a version mismatch.
Again, a distribution may have solve the problem for you if you like to give it a try.

Hope this helps.

Thanks,

Xuefu

 


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