RE: Add jar files on classpath when submitting tasks to Spark
Thank you for the example.
I am able to submit the task when using the –jars parameter as followed:
spark-submit --class com.infor.skyvault.tests.LinearRegressionTest --master
local –jars path/to/jar/one;path/to/jar/two
C:\_resources\spark-1.0-SNAPSHOT.jar -DtrainDataPath="/path/to/model/data"
But, I would like to find out, why the setting of spark.driver.extraClassPath
attribute in spark-defaults.xml is not applied when submitting the task.
In our scenario let’s assume that all workers (currently only one worker) have
the attribute spark.driver.extraClassPath set to the same path and the folder
on all workers contains the same .jar files.
Thank you for your help,
Regards,
Jan
From: Mich Talebzadeh [mailto:mich.talebza...@gmail.com]
Sent: Tuesday, November 1, 2016 3:22 PM
To: Jan Botorek <jan.boto...@infor.com>
Cc: Vinod Mangipudi <vinod...@gmail.com>; user <user@spark.apache.org>
Subject: Re: Add jar files on classpath when submitting tasks to Spark
If you are using local mode then there is only one JVM. In Linux as below mine
looks like this
${SPARK_HOME}/bin/spark-submit \
--packages ${PACKAGES} \
--driver-memory 8G \
--num-executors 1 \
--executor-memory 8G \
--master local[12] \
--conf "${SCHEDULER}" \
--conf "${EXTRAJAVAOPTIONS}" \
--jars ${JARS} \
--class "${FILE_NAME}" \
--conf "${SPARKUIPORT}" \
--conf "${SPARKDRIVERPORT}" \
--conf "${SPARKFILESERVERPORT}" \
--conf "${SPARKBLOCKMANAGERPORT}" \
--conf "${SPARKKRYOSERIALIZERBUFFERMAX}" \
${JAR_FILE}
These parameters are defined below
function default_settings {
export PACKAGES="com.databricks:spark-csv_2.11:1.3.0"
export SCHEDULER="spark.scheduler.mode=FAIR"
export EXTRAJAVAOPTIONS="spark.executor.extraJavaOptions=-XX:+PrintGCDetails
-XX:+PrintGCTimeStamps"
export JARS="/home/hduser/jars/spark-streaming-kafka-assembly_2.11-1.6.1.jar"
export SPARKUIPORT="spark.ui.port=5"
export SPARKDRIVERPORT="spark.driver.port=54631"
export SPARKFILESERVERPORT="spark.fileserver.port=54731"
export SPARKBLOCKMANAGERPORT="spark.blockManager.port=54832"
export SPARKKRYOSERIALIZERBUFFERMAX="spark.kryoserializer.buffer.max=512"
}
and other jar files have passed through --jars. Note that ${JAR_FILE} in my
case is built through MVN or SBT
HTH
Dr Mich Talebzadeh
LinkedIn
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On 1 November 2016 at 14:02, Jan Botorek
<jan.boto...@infor.com<mailto:jan.boto...@infor.com>> wrote:
Yes, exactly.
My (testing) run script is:
spark-submit --class com.infor.skyvault.tests.LinearRegressionTest --master
local C:\_resources\spark-1.0-SNAPSHOT.jar -DtrainDataPath="/path/to/model/data"
From: Mich Talebzadeh
[mailto:mich.talebza...@gmail.com<mailto:mich.talebza...@gmail.com>]
Sent: Tuesday, November 1, 2016 2:51 PM
To: Jan Botorek <jan.boto...@infor.com<mailto:jan.boto...@infor.com>>
Cc: Vinod Mangipudi <vinod...@gmail.com<mailto:vinod...@gmail.com>>; user
<user@spark.apache.org<mailto:user@spark.apache.org>>
Subject: Re: Add jar files on classpath when submitting tasks to Spark
Are you submitting your job through spark-submit?
Dr Mich Talebzadeh
LinkedIn
https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
http://talebzadehmich.wordpress.com
Disclaimer: Use it at your own risk. Any and all responsibility for any loss,
damage or destruction of data or any other property which may arise from
relying on this email's technical content is explicitly disclaimed. The author
will in no case be liable for any monetary damages arising from such loss,
damage or destruction.
On 1 November 2016 at 13:39, Jan Botorek
<jan.boto...@infor.com<mailto:jan.boto...@infor.com>> wrote:
Hello,
This approach unfortunately doesn’t work for job submission for me. It works in
the shell, but not when submitted.
I ensured the (only worker) node has desired directory.
Neither specifying all jars as you suggested, neither using /path/to/jarfiles/*
works.
Could you verify, that using this settings you are able to submit jobs with
according dependencies, please?
From: Mich Taleb
RE: Add jar files on classpath when submitting tasks to Spark
Yes, exactly. My (testing) run script is: spark-submit --class com.infor.skyvault.tests.LinearRegressionTest --master local C:\_resources\spark-1.0-SNAPSHOT.jar -DtrainDataPath="/path/to/model/data" From: Mich Talebzadeh [mailto:mich.talebza...@gmail.com] Sent: Tuesday, November 1, 2016 2:51 PM To: Jan Botorek <jan.boto...@infor.com> Cc: Vinod Mangipudi <vinod...@gmail.com>; user <user@spark.apache.org> Subject: Re: Add jar files on classpath when submitting tasks to Spark Are you submitting your job through spark-submit? Dr Mich Talebzadeh LinkedIn https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw http://talebzadehmich.wordpress.com Disclaimer: Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On 1 November 2016 at 13:39, Jan Botorek <jan.boto...@infor.com<mailto:jan.boto...@infor.com>> wrote: Hello, This approach unfortunately doesn’t work for job submission for me. It works in the shell, but not when submitted. I ensured the (only worker) node has desired directory. Neither specifying all jars as you suggested, neither using /path/to/jarfiles/* works. Could you verify, that using this settings you are able to submit jobs with according dependencies, please? From: Mich Talebzadeh [mailto:mich.talebza...@gmail.com<mailto:mich.talebza...@gmail.com>] Sent: Tuesday, November 1, 2016 2:18 PM To: Vinod Mangipudi <vinod...@gmail.com<mailto:vinod...@gmail.com>> Cc: user <user@spark.apache.org<mailto:user@spark.apache.org>> Subject: Re: Add jar files on classpath when submitting tasks to Spark you can do that as long as every node has the directory referenced. For example spark.driver.extraClassPath /home/hduser/jars/ojdbc6.jar:/home/hduser/jars/jconn4.jar spark.executor.extraClassPath /home/hduser/jars/ojdbc6.jar:/home/hduser/jars/jconn4.jar this will work as long as all nodes have that directory. The other alternative is to mount the shared directory as NFS mount across all the nodes and all the noses can read from that shared directory HTH Dr Mich Talebzadeh LinkedIn https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw http://talebzadehmich.wordpress.com Disclaimer: Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On 1 November 2016 at 13:04, Vinod Mangipudi <vinod...@gmail.com<mailto:vinod...@gmail.com>> wrote: unsubscribe On Tue, Nov 1, 2016 at 8:56 AM, Jan Botorek <jan.boto...@infor.com<mailto:jan.boto...@infor.com>> wrote: Thank you for the reply. I am aware of the parameters used when submitting the tasks (--jars is working for us). But, isn’t there any way how to specify a location (directory) for jars „in global“ - in the spark-defaults.conf?? From: ayan guha [mailto:guha.a...@gmail.com<mailto:guha.a...@gmail.com>] Sent: Tuesday, November 1, 2016 1:49 PM To: Jan Botorek <jan.boto...@infor.com<mailto:jan.boto...@infor.com>> Cc: user <user@spark.apache.org<mailto:user@spark.apache.org>> Subject: Re: Add jar files on classpath when submitting tasks to Spark There are options to specify external jars in the form of --jars, --driver-classpath etc depending on spark version and cluster manager.. Please see spark documents for configuration sections and/or run spark submit help to see available options. On 1 Nov 2016 23:13, "Jan Botorek" <jan.boto...@infor.com<mailto:jan.boto...@infor.com>> wrote: Hello, I have a problem trying to add jar files to be available on classpath when submitting task to Spark. In my spark-defaults.conf file I have configuration: spark.driver.extraClassPath = path/to/folder/with/jars all jars in the folder are available in SPARK-SHELL The problem is that jars are not on the classpath for SPARK-MASTER; more precisely – when I submit any job that utilizes any jar from external folder, the java.lang.ClassNotFoundException is thrown. Moving all external jars into the jars folder solves the situation, but we need to keep external files separatedly. Thank you for any help Best regards, Jan
RE: Add jar files on classpath when submitting tasks to Spark
Hello, This approach unfortunately doesn’t work for job submission for me. It works in the shell, but not when submitted. I ensured the (only worker) node has desired directory. Neither specifying all jars as you suggested, neither using /path/to/jarfiles/* works. Could you verify, that using this settings you are able to submit jobs with according dependencies, please? From: Mich Talebzadeh [mailto:mich.talebza...@gmail.com] Sent: Tuesday, November 1, 2016 2:18 PM To: Vinod Mangipudi <vinod...@gmail.com> Cc: user <user@spark.apache.org> Subject: Re: Add jar files on classpath when submitting tasks to Spark you can do that as long as every node has the directory referenced. For example spark.driver.extraClassPath /home/hduser/jars/ojdbc6.jar:/home/hduser/jars/jconn4.jar spark.executor.extraClassPath /home/hduser/jars/ojdbc6.jar:/home/hduser/jars/jconn4.jar this will work as long as all nodes have that directory. The other alternative is to mount the shared directory as NFS mount across all the nodes and all the noses can read from that shared directory HTH Dr Mich Talebzadeh LinkedIn https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw http://talebzadehmich.wordpress.com Disclaimer: Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On 1 November 2016 at 13:04, Vinod Mangipudi <vinod...@gmail.com<mailto:vinod...@gmail.com>> wrote: unsubscribe On Tue, Nov 1, 2016 at 8:56 AM, Jan Botorek <jan.boto...@infor.com<mailto:jan.boto...@infor.com>> wrote: Thank you for the reply. I am aware of the parameters used when submitting the tasks (--jars is working for us). But, isn’t there any way how to specify a location (directory) for jars „in global“ - in the spark-defaults.conf?? From: ayan guha [mailto:guha.a...@gmail.com<mailto:guha.a...@gmail.com>] Sent: Tuesday, November 1, 2016 1:49 PM To: Jan Botorek <jan.boto...@infor.com<mailto:jan.boto...@infor.com>> Cc: user <user@spark.apache.org<mailto:user@spark.apache.org>> Subject: Re: Add jar files on classpath when submitting tasks to Spark There are options to specify external jars in the form of --jars, --driver-classpath etc depending on spark version and cluster manager.. Please see spark documents for configuration sections and/or run spark submit help to see available options. On 1 Nov 2016 23:13, "Jan Botorek" <jan.boto...@infor.com<mailto:jan.boto...@infor.com>> wrote: Hello, I have a problem trying to add jar files to be available on classpath when submitting task to Spark. In my spark-defaults.conf file I have configuration: spark.driver.extraClassPath = path/to/folder/with/jars all jars in the folder are available in SPARK-SHELL The problem is that jars are not on the classpath for SPARK-MASTER; more precisely – when I submit any job that utilizes any jar from external folder, the java.lang.ClassNotFoundException is thrown. Moving all external jars into the jars folder solves the situation, but we need to keep external files separatedly. Thank you for any help Best regards, Jan
RE: Add jar files on classpath when submitting tasks to Spark
Thank you for the reply. I am aware of the parameters used when submitting the tasks (--jars is working for us). But, isn’t there any way how to specify a location (directory) for jars „in global“ - in the spark-defaults.conf?? From: ayan guha [mailto:guha.a...@gmail.com] Sent: Tuesday, November 1, 2016 1:49 PM To: Jan Botorek <jan.boto...@infor.com> Cc: user <user@spark.apache.org> Subject: Re: Add jar files on classpath when submitting tasks to Spark There are options to specify external jars in the form of --jars, --driver-classpath etc depending on spark version and cluster manager.. Please see spark documents for configuration sections and/or run spark submit help to see available options. On 1 Nov 2016 23:13, "Jan Botorek" <jan.boto...@infor.com<mailto:jan.boto...@infor.com>> wrote: Hello, I have a problem trying to add jar files to be available on classpath when submitting task to Spark. In my spark-defaults.conf file I have configuration: spark.driver.extraClassPath = path/to/folder/with/jars all jars in the folder are available in SPARK-SHELL The problem is that jars are not on the classpath for SPARK-MASTER; more precisely – when I submit any job that utilizes any jar from external folder, the java.lang.ClassNotFoundException is thrown. Moving all external jars into the jars folder solves the situation, but we need to keep external files separatedly. Thank you for any help Best regards, Jan
Add jar files on classpath when submitting tasks to Spark
Hello, I have a problem trying to add jar files to be available on classpath when submitting task to Spark. In my spark-defaults.conf file I have configuration: spark.driver.extraClassPath = path/to/folder/with/jars all jars in the folder are available in SPARK-SHELL The problem is that jars are not on the classpath for SPARK-MASTER; more precisely - when I submit any job that utilizes any jar from external folder, the java.lang.ClassNotFoundException is thrown. Moving all external jars into the jars folder solves the situation, but we need to keep external files separatedly. Thank you for any help Best regards, Jan
RE: Help needed in parsing JSon with nested structures
Hello,
>From my point of view, it would be more efficient and probably i more
>"readible" if you just extracted the required data using some json parsing
>library (GSON, Jackson), construct some global object (or pre-process data),
>and then begin with the Spark operations.
Jan
From: Kappaganthu, Sivaram (ES) [mailto:sivaram.kappagan...@adp.com]
Sent: Monday, October 31, 2016 11:50 AM
To: user@spark.apache.org
Subject: Help needed in parsing JSon with nested structures
Hello All,
I am processing a nested complex Json and below is the schema for it.
root
|-- businessEntity: array (nullable = true)
||-- element: struct (containsNull = true)
|||-- payGroup: array (nullable = true)
||||-- element: struct (containsNull = true)
|||||-- reportingPeriod: struct (nullable = true)
||||||-- worker: array (nullable = true)
|||||||-- element: struct (containsNull = true)
||||||||-- category: string (nullable = true)
||||||||-- person: struct (nullable = true)
||||||||-- tax: array (nullable = true)
|||||||||-- element: struct (containsNull =
true)
||||||||||-- code: string (nullable = true)
||||||||||-- qtdAmount: double (nullable =
true)
||||||||||-- ytdAmount: double (nullable =
My requirement is to create a hashmap with code concatenated with qtdAmount as
key and value of qtdAmount as value. Map.put(code + "qtdAmount" , qtdAmount).
How can i do this with spark.
I tried with below shell commands.
import org.apache.spark.sql._
val sqlcontext = new SQLContext(sc)
val cdm = sqlcontext.read.json("/user/edureka/CDM/cdm.json")
val spark =
SparkSession.builder().appName("SQL").config("spark.some.config.option","some-vale").getOrCreate()
cdm.createOrReplaceTempView("CDM")
val sqlDF = spark.sql("SELECT businessEntity[0].payGroup[0] from CDM").show()
val address = spark.sql("SELECT
businessEntity[0].payGroup[0].reportingPeriod.worker[0].person.address from CDM
as address")
val worker = spark.sql("SELECT
businessEntity[0].payGroup[0].reportingPeriod.worker from CDM")
val tax = spark.sql("SELECT
businessEntity[0].payGroup[0].reportingPeriod.worker[0].tax from CDM")
val tax = sqlcontext.sql("SELECT
businessEntity[0].payGroup[0].reportingPeriod.worker[0].tax from CDM")
val codes = tax.select(expode(tax("code"))
scala> val codes =
tax.withColumn("code",explode(tax("tax.code"))).withColumn("qtdAmount",explode(tax("tax.qtdAmount"))).withColumn("ytdAmount",explode(tax("tax.ytdAmount")))
i am trying to get all the codes and qtdAmount into a map. But i am not getting
it. Using multiple explode statements for a single DF, is producing Cartesian
product of the elements.
Could someone please help on how to parse the json of this much complex in
spark.
Thanks,
Sivaram
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RE: No of partitions in a Dataframe
Hello, Nipun In my opinion, the „converting the dataframe to an RDD“ wouldn’t be a costly operation since Dataframe (Dataset) operations are under the hood operated always as RDDs. I don’t know which version of Spark you operate, but I suppose you utilize the 2.0. I would, therefore go for: dataFrame.rdd.partitions That returns Array of partitions (writen in SCALA). Regards, Jan From: Nipun Parasrampuria [mailto:paras...@umn.edu] Sent: Thursday, October 27, 2016 12:01 AM To: user@spark.apache.org Subject: No of partitions in a Dataframe How do I find the number of partitions in a dataframe without converting the dataframe to an RDD(I'm assuming that it's a costly operation). If there's no way to do so, I wonder why the API doesn't include a method like that(an explanation for why such a method would be useless, perhaps) Thanks! Nipun
