I want to get application id in text file at local when I deploy application in cluster mode.
For this I had edited log4j.properties file and configs it for client but I is not working .
I had also followed this blog :https://largecats.github.io/blog/2020/09/21/spark-cluster-mode-collect-log/ but do not get satisfactory result.
I had also follow this spark-submit in cluster deploy mode get application id to console but it is showing application id on console.
so, please anyone help me , I am stuck there of a week but do not get proper solution.
You should set the tag to your Spark app during submitting and later ask Yarn based on tag value.
--conf spark.yarn.tags=tag-name
Related
I am building a a demo/training environment for one of our products which work with Hive & Spark. I am using HDP 2.6.5 and If I configure the hive settings I need (primarily these: ACID Settings) through the Ambari GUI it works fine. But I want to automate this and setting these in hive-site.xml is not working (I have found many copies of this file, so it could simply be I am using the wrong one? )
How can I change from the command line what changes when I make changes in Dashboard->Hive->Configs ?
Where are these changes stored? I am sure I have missed something obvious in the docs, but I can't find it.
Thanks!
#Leigh K You should check out the Ambari REST API to make changes to hive. I did not find a quick link to official documentation, but I was able to find this post that goes into detail using PIG:
https://markobigdata.com/2018/07/22/adding-service-to-hdp-using-rest-api/2/
I recently upgraded by Spark 1.4.1 setup to the latest 2.1.0. I'm running Spark in Standalone mode. Everything seems to work fine except the web UI.
The post here shows that this can happen for large application logs. But I'm pretty sure my application log is not large (~8.5MB).
I have copied the same setup that I was using in 1.4.1 with following parameters as
spark.eventLog.enabled true
spark.eventLog.dir /LOCALPATH/spark/event-log
spark.history.fs.logDirectory /LOCALPATH/spark/event-log
The web UI shows current and previous applications. However, the "Application Detail UI" link is only available for running/active applications and does not show for completed applications. I've checked the eventLog directory and it does have non-empty log file for completed applications.
Attached are images for reference as well. Am I missing some new property introduced in ver 2.1.0? I've gone through the documentation multiple times and couldn't find any.
EDIT: Got it working (for any future references)
I got it working through spark history server after following the steps explained Spark History Server. In particular, I added a log4j property
log4j.logger.org.apache.spark.deploy.history=INFO
in
SPARK_HOME/conf/log4j.properties
and start the history server and access the history server interface through
<history-server-host>:18080
where history-server-host is usually the same as your master node.
I have a spark cluster set up on 2 CentOS machines. I want to secure the web UI of my cluster (master node). I have made a BasicAuthenticationFilter servlet. I am unable to understand:
how should I use spark.ui.filter to secure my web UI.
Where should I place the servlet/jar file.
Kindly help.
I also needed to handle this security problem to prevent unauthorized access to spark standalone UI. At last I fixed it after surfing on the web, the procedure is :
code and compile a java filter using standard basic authentication protocol, I refered to this [blog]: http://lambda.fortytools.com/post/26977061125/servlet-filter-for-http-basic-auth
packaged above filter class as a jar file, put it in $spark_home/jars/
add config lines in $spark_home/conf/spark-default.conf as :
spark.ui.filters xxx.BasicAuthFilter # the full class name
spark.test.BasicAuthFilter.params user=foo,password=cool,realm=some
the username and password need to provide to access the spark UI, “realm” is insignificant whatever you typed
restart all slave and master process and test to find it works
Hi place the jar file in all the nodes in the folder /opt/spark/conf/. In terminal, type the following commands:
Navigate to the directory /usr/local/share/jupyter/kernels/pyspark/kernel.json
Edit the file kernel.json
Add the following argument to the PYSPARK_SUBMIT_ARGS --jars /opt/spark/conf/filterauth.jar –conf spark.ui.filters=authenticate.MyFilter
Here, filterauth.jar is the jar file created and authenticate.MyFilter represents <package name>.<class name>
Hope this answers your query. :)
I have written an application in Scala that uses Spark.
The application consists of two modules - the App module which contains classes with different logic, and the Env module which contains environment and system initialization code, as well as utility functions.
The entry point is located in Env, and after initialization, it creates a class in App (according to args, using Class.forName) and the logic is executed.
The modules are exported into 2 different JARs (namely, env.jar and app.jar).
When I run the application locally, it executes well. The next step is to deploy the application to my servers. I use Cloudera's CDH 5.4.
I used Hue to create a new Oozie workflow with a Spark task with the following parameters:
Spark Master: yarn
Mode: cluster
App name: myApp
Jars/py files: lib/env.jar,lib/app.jar
Main class: env.Main (in Env module)
Arguments: app.AggBlock1Task
I then placed the 2 JARs inside the lib folder in the workflow's folder (/user/hue/oozie/workspaces/hue-oozie-1439807802.48).
When I run the workflow, it throws a FileNotFoundException and the application does not execute:
java.io.FileNotFoundException: File file:/cloudera/yarn/nm/usercache/danny/appcache/application_1439823995861_0029/container_1439823995861_0029_01_000001/lib/app.jar,lib/env.jar does not exist
However, when I leave the Spark master and mode parameters empty, it all works properly, but when I check spark.master programmatically it is set to local[*] and not yarn. Also, when observing the logs, I encountered this under Oozie Spark action configuration:
--master
null
--name
myApp
--class
env.Main
--verbose
lib/env.jar,lib/app.jar
app.AggBlock1Task
I assume I'm not doing it right - not setting Spark master and mode parameters and running the application with spark.master set to local[*]. As far as I understand, creating a SparkConf object within the application should set the spark.master property to whatever I specify in Oozie (in this case yarn) but it just doesn't work when I do that..
Is there something I'm doing wrong or missing?
Any help will be much appreciated!
I managed to solve the problem by putting the two JARs in the user directory /user/danny/app/ and specifying the Jar/py files parameter as ${nameNode}/user/danny/app/env.jar. Running it caused a ClassNotFoundException to be thrown, even though the JAR was located at the same folder in HDFS. To work around that, I had to go to the settings and add the following to the options list: --jars ${nameNode}/user/danny/app/app.jar. This way the App module is referenced as well and the application runs successfully.
I deployed spark job server according https://github.com/spark-jobserver/spark-jobserver. Then I created a job server project, and uploaded to the hob server. While I run the project, how can I see the logs?
It looks like it's not possible to see the logs while running a project. I browsed through the source code and couldn't find any references to a feature like this, and it's clearly not a feature of the ui. It seems like your only option would be to view the logs after running a job, which are stored by default in /var/log/job-server, which you probably already know.