2024 Spark submit files

The most basic steps to configure the key stores and the trust store for a Spark Standalone deployment mode is as follows: Generate a key pair for each node. Export the public key of the key pair to a file on each node. Import all exported public keys into a single trust store.. Craigslist lacrosse cars and trucks by owner

Usage: spark-submit --status [submission ID] --master [spark://...] Usage: spark-submit run-example [options] example-class [example args] As you can see in the first Usage spark-submit requires <app jar | python file>. The app jar argument is a Spark application's jar with the main object (SimpleApp in your case). You can build the app jar ...spark.kubernetes.file.upload.path must be a path on a distributed/shared file system (HDFS/S3/NAS/etc.). The spark-submit process uploads the files to that path, and the driver and executors will try to download it from there. Looks like you are referencing some local /tmp folder.May 12, 2020 · Spark on Kubernetes doesn't support submitting locally stored files with spark-submit. The Spark shell and spark-submit tool support two ways to load configurations dynamically. The first is command line options, such as --master, as shown above. spark-submit can accept any Spark property using the --conf/-c flag, but uses special flags for properties that play a part in launching the Spark application. Dec 8, 2017 · This is a JSON protocol to submit Spark application, to submit Spark application to cluster manager, we should use HTTP POST request to send above JSON protocol to Livy Server: curl -H "Content-Type: application/json" -X POST -d ‘<JSON Protocol>’ <livy-host>:<port>/batches. As you can see most of the arguments are the same, but there still ... Jun 30, 2016 · 1 Answer. One way is to have a main driver program for your Spark application as a python file (.py) that gets passed to spark-submit. This primary script has the main method to help the Driver identify the entry point. This file will customize configuration properties as well initialize the SparkContext. The ones bundled in the egg executables ... For Python, you can use the --py-files argument of spark-submit to add .py, .zip or .egg files to be distributed with your application. If you depend on multiple Python files we recommend packaging them into a .zip or .egg. Launching Applications with spark-submit. Once a user application is bundled, it can be launched using the bin/spark ...On Kubernetes I'm having an issue: files uploaded via --files can't be read by Spark Driver. On Yarn, as described in many answers I can read those files using Source.fromFile(filename) . But I can't read files in Spark on Kubernetes.for me, run spark on yarn,just add --files log4j.properties makes everything ok. 1. make sure the directory where you run spark-submit contains file "log4j.properties". 2. run spark-submit ... --files log4j.properties. let's see why this work. 1.spark-submit will upload log4j.properties to hdfs like thisBut when I copy the same to my properties file: spark.class MyClass spark.master spark://my_master spark.files test.config spark.jars build/jars/MyProject.jar, build/jars/Config.jar On trying to use this file with spark-submit, I get an error: java.lang.IllegalArgumentException: Missing application resource2. When using spark-submit with --master yarn-cluster, the application JAR file along with any JAR file included with the --jars option will be automatically transferred to the cluster. URLs supplied after --jars must be separated by commas. That list is included in the driver and executor classpaths.Jul 2, 2020 · I have a pyspark code stored both on the master node of an AWS EMR cluster and in an s3 bucket that fetches over 140M rows from a MySQL database and stores the sum of a column back in the log files on s3. When I spark-submit the pyspark code on the master node, the job gets completed successfully and the output is stored in the log files on the ... Oct 21, 2016 · All the keys needs to be prefixed with spark. then use the spark-submit command like this to pass the properties file. bin/spark-submit --properties-file propertiesfile.properties. Then in the code you can get the keys using below sparkcontext getConf method. sc.getConf.get ("spark.key1") // returns value1. command options. You specify spark-submit options using the form --option value instead of --option=value . (Use a space instead of an equals sign.) Option. Description. class. For Java and Scala applications, the fully qualified classname of the class containing the main method of the application. For example, org.apache.spark.examples.SparkPi. May 12, 2020 · Spark on Kubernetes doesn't support submitting locally stored files with spark-submit. Imagine how to configure the network communication between your machine and Spark Pods in Kubernetes: in order to pull your local jars Spark Pod should be able to access you machine (probably you need to run web-server locally and expose its endpoints), and vice-versa in order to push jar from you machine to the Spark Pod your spark-submit ...6,344 24 92 174 Add a comment 2 Answers Sorted by: 8 You can use --properties-file which should include parameters with starting keyword spark like spark.driver.memory 5g spark.executor.memory 10g And command should look like:Jul 2, 2020 · I have a pyspark code stored both on the master node of an AWS EMR cluster and in an s3 bucket that fetches over 140M rows from a MySQL database and stores the sum of a column back in the log files on s3. When I spark-submit the pyspark code on the master node, the job gets completed successfully and the output is stored in the log files on the ... To do so, specify the spark properties spark.kubernetes.driver.podTemplateFile and spark.kubernetes.executor.podTemplateFile to point to local files accessible to the spark-submit process. To allow the driver pod access the executor pod template file, the file will be automatically mounted onto a volume in the driver pod when it’s created.Nov 9, 2017 · As suspected, the two options ( sc.addFile and --files) are not equivalent, and this is (admittedly very subtly) hinted at the documentation (emphasis added): addFile (path, recursive=False) Add a file to be downloaded with this Spark job on every node. --files FILES. Comma-separated list of files to be placed in the working directory of each ... Sep 7, 2016 · I want to load a property config file when submit a spark job, so I can load the proper config due to different environment, such as a test environment or a product environment. But I don't know where to put the properties file, here is the code loading the properties file: Apr 7, 2016 · 21. First you need to pass your files through --py-files or --files. When you pass your zip/files with the above flags, basically your resources will be transferred to temporary directory created on HDFS just for the lifetime of that application. Now in your code, add those zip/files by using the following command. spark.yarn.submit.file.replication: The default HDFS replication (usually 3) HDFS replication level for the files uploaded into HDFS for the application. These include things like the Spark jar, the app jar, and any distributed cache files/archives. 0.8.1: spark.yarn.stagingDir: Current user's home directory in the filesystem Aug 4, 2021 · Spark environment provides a command to execute the application file, be it in Scala or Java(need a Jar format), Python and R programming file. The command is, $ spark-submit --master <url> <SCRIPTNAME>.py. I'm running spark in windows 64bit architecture system with JDK 1.8 version. P.S find a screenshot of my terminal window. Code snippet Nov 4, 2014 · 0. spark-submit is a utility to submit your spark program (or job) to Spark clusters. If you open the spark-submit utility, it eventually calls a Scala program. org.apache.spark.deploy.SparkSubmit. On the other hand, pyspark or spark-shell is REPL ( read–eval–print loop) utility which allows the developer to run/execute their spark code as ... Jul 26, 2021 · In Short : · Using spark-submit, the user submits an application. · In spark-submit, we invoke the main () method that the user specifies. It also launches the driver program. · The driver ... I want to load a property config file when submit a spark job, so I can load the proper config due to different environment, such as a test environment or a product environment. But I don't know where to put the properties file, here is the code loading the properties file:For Python, you can use the --py-files argument of spark-submit to add .py, .zip or .egg files to be distributed with your application. If you depend on multiple Python files we recommend packaging them into a .zip or .egg. Launching Applications with spark-submit. Once a user application is bundled, it can be launched using the bin/spark ...For deploy-mode cluster. As previous answers mentioned, if you want to pass env variable to spark master, you want to use: --conf spark.yarn.appMasterEnv.FOO=bar // pass bar value to FOO variable --conf spark.yarn.appMasterEnv.FOO=$ {FOO} // passing current FOO env variable --conf spark.yarn.appMasterEnv.FOO2=bar2 // multiple variables are ...Mar 29, 2022 · article Spark spark.sql.files.maxPartitionBytes Explained in Detail article Spark 2.x to 3.x - Date, Timestamp and Int96 Rebase Modes article Spark Schema Merge (Evolution) for Orc Files article Spark Dynamic and Static Partition Overwrite article Differences between spark.sql.shuffle.partitions and spark.default.parallelism Read more (8) command options. You specify spark-submit options using the form --option value instead of --option=value . (Use a space instead of an equals sign.) Option. Description. class. For Java and Scala applications, the fully qualified classname of the class containing the main method of the application. For example, org.apache.spark.examples.SparkPi. using the --files option to copy a text file "foo.txt" (which is located in the project root) from the "submitting" Windows machine (which is also running Spark 1.6.0 and Scala 2.10.5) to the working directories of executors (as described by spark-submit -h) passing the textfile as first argument to my applicationFor deploy-mode cluster. As previous answers mentioned, if you want to pass env variable to spark master, you want to use: --conf spark.yarn.appMasterEnv.FOO=bar // pass bar value to FOO variable --conf spark.yarn.appMasterEnv.FOO=$ {FOO} // passing current FOO env variable --conf spark.yarn.appMasterEnv.FOO2=bar2 // multiple variables are ...Jul 24, 2022 · Note that files passed through --files and --archives are available for Spark executors only. This behavior is consistent with spark-submit. If you need the files to be accessible by Spark driver, consider using an init action to put the files somewhere in the local filesystem explictly. Oct 16, 2017 · Spark-submit can't locate local file. Ask Question Asked 5 years, 10 months ago. Modified 5 years, 10 months ago. Viewed 8k times 2 I've written a very simple python ... The spark-submit script in Spark’s bin directory is used to launch applications on a cluster. It can use all of Spark’s supported cluster managers through a uniform interface so you don’t have to configure your application especially for each one. Bundling Your Application’s Dependencies Referencing here and here, I expect that I should be able to change the name by which a file is referenced in Spark by using an octothorpe - that is, if I call spark-submit --files local-file-name.json#spark-file-name.json, I should then be able to reference the file as spark-file-name.json. However, this doesn't appear to be the case:As with the Scala and Java examples, we use a SparkSession to create Datasets. For applications that use custom classes or third-party libraries, we can also add code dependencies to spark-submit through its --py-files argument by packaging them into a .zip file (see spark-submit --help for details).Note that files passed through --files and --archives are available for Spark executors only. This behavior is consistent with spark-submit. If you need the files to be accessible by Spark driver, consider using an init action to put the files somewhere in the local filesystem explictly.For Python, you can use the --py-files argument of spark-submit to add .py, .zip or .egg files to be distributed with your application. If you depend on multiple Python files we recommend packaging them into a .zip or .egg. Launching Applications with spark-submit. Once a user application is bundled, it can be launched using the bin/spark ...The most basic steps to configure the key stores and the trust store for a Spark Standalone deployment mode is as follows: Generate a key pair for each node. Export the public key of the key pair to a file on each node. Import all exported public keys into a single trust store. With the --files option you put the file in your working directory on the executor. You are trying to point to the file using an absolute path which is not what files option does for you. Can you use just the name "rule2.xml" and not a path. When you read the documentation for the files. See the important note at the bottom of the page running ...21. First you need to pass your files through --py-files or --files. When you pass your zip/files with the above flags, basically your resources will be transferred to temporary directory created on HDFS just for the lifetime of that application. Now in your code, add those zip/files by using the following command.Spark on Kubernetes doesn't support submitting locally stored files with spark-submit.I have a CSV file "test.csv" that I'm trying to have copied to all nodes on the cluster. I have a 4 node apache-spark 1.5.2 standalone cluster.We are using Spark 2.3.0 on Yarn in pseudo distributed mode. We need to query a postgres table from spark whose configurations are defined in a properties file. I passed the property file using --files attribute of spark submit. To read the file in my code I simply used java.util.Properties.PropertiesReader class. 6,344 24 92 174 Add a comment 2 Answers Sorted by: 8 You can use --properties-file which should include parameters with starting keyword spark like spark.driver.memory 5g spark.executor.memory 10g And command should look like:Apr 7, 2016 · 21. First you need to pass your files through --py-files or --files. When you pass your zip/files with the above flags, basically your resources will be transferred to temporary directory created on HDFS just for the lifetime of that application. Now in your code, add those zip/files by using the following command. For Python, you can use the --py-files argument of spark-submit to add .py, .zip or .egg files to be distributed with your application. If you depend on multiple Python files we recommend packaging them into a .zip or .egg. Launching Applications with spark-submit. Once a user application is bundled, it can be launched using the bin/spark ... Jun 29, 2015 · I want to store the Spark arguments such as input file, output file into a Java property files and pass that file into Spark Driver. I'm using spark-submit for submitting the job but couldn't find a parameter to pass the properties file. Jun 30, 2016 · 1 Answer. One way is to have a main driver program for your Spark application as a python file (.py) that gets passed to spark-submit. This primary script has the main method to help the Driver identify the entry point. This file will customize configuration properties as well initialize the SparkContext. The ones bundled in the egg executables ... Pass system property to spark-submit and read file from classpath or custom path. 2 adding external property file to classpath in spark. 0 ...The most basic steps to configure the key stores and the trust store for a Spark Standalone deployment mode is as follows: Generate a key pair for each node. Export the public key of the key pair to a file on each node. Import all exported public keys into a single trust store.Jul 21, 2018 · But when I copy the same to my properties file: spark.class MyClass spark.master spark://my_master spark.files test.config spark.jars build/jars/MyProject.jar, build/jars/Config.jar On trying to use this file with spark-submit, I get an error: java.lang.IllegalArgumentException: Missing application resource Using PySpark Native Features ¶. PySpark allows to upload Python files ( .py ), zipped Python packages ( .zip ), and Egg files ( .egg ) to the executors by one of the following: Setting the configuration setting spark.submit.pyFiles. Setting --py-files option in Spark scripts. Directly calling pyspark.SparkContext.addPyFile () in applications.Imagine how to configure the network communication between your machine and Spark Pods in Kubernetes: in order to pull your local jars Spark Pod should be able to access you machine (probably you need to run web-server locally and expose its endpoints), and vice-versa in order to push jar from you machine to the Spark Pod your spark-submit ...Apr 15, 2020 · The spark-submit job will setup and configure Spark as per our instructions, execute the program we pass to it, then cleanly release the resources that were being used. A simply Python program passed to spark-submit might look like this: """ spark_submit_example.py An example of the kind of script we might want to run. The modules and functions ... 2. In my case I am using Spark (2.1.1) and for the processing I need to connect to Kafka (using kerberos, therefore a keytab). When submitting the job I can pass the keytab with --keytab and --principal options. The main drawback is that the keytab will no be send to the distributed cache (or at least be available to the executors) so it will fail.spark.yarn.submit.file.replication: The default HDFS replication (usually 3) HDFS replication level for the files uploaded into HDFS for the application. These include things like the Spark jar, the app jar, and any distributed cache files/archives. spark.yarn.stagingDir: Current user's home directory in the filesystem I have four python files , out of four files 1 file has spark entry code defined and that file drives and calls rest other python files . for now I have provided four python files with --py-files option in spark submit command , but instead of submitting this way I want to create zip file and pack these all four python files and submit with ...To download the log files for an application, issue the spark-submit.sh command with the --download-app-logs option. Display the contents of a single log file: To display the contents of a single cluster log file, issue the spark-submit.sh command with the --display-cluster-log option.As suspected, the two options ( sc.addFile and --files) are not equivalent, and this is (admittedly very subtly) hinted at the documentation (emphasis added): addFile (path, recursive=False) Add a file to be downloaded with this Spark job on every node. --files FILES. Comma-separated list of files to be placed in the working directory of each ...In case if you wanted to run a PySpark application using spark-submit from a shell, use the below example. Specify the .py file you wanted to run and you can also specify the .py, .egg, .zip file to spark submit command using --py-files option for any dependencies. ./bin/spark-submit \ --master yarn \ --deploy-mode cluster \ wordByExample.py. I forgot to look inside spark-submit --help. And this is what it says: --files FILES Comma-separated list of files to be placed in the working directory of each executor. File paths of these files in executors can be accessed via SparkFiles.get (fileName). Sometimes it's right under ones own nose..We are using Spark 2.3.0 on Yarn in pseudo distributed mode. We need to query a postgres table from spark whose configurations are defined in a properties file. I passed the property file using --files attribute of spark submit. To read the file in my code I simply used java.util.Properties.PropertiesReader class. Mar 1, 2019 · I have a Java-spark code that reads certain properties files. These properties are being passed with spark-submit like: spark-submit --master yarn \\ --deploy-mode cluster \\ --files /home/aiman/ Spark-submit can't locate local file. Ask Question Asked 5 years, 10 months ago. Modified 5 years, 10 months ago. Viewed 8k times 2 I've written a very simple python ...spark.yarn.submit.file.replication: The default HDFS replication (usually 3) HDFS replication level for the files uploaded into HDFS for the application. These include things like the Spark jar, the app jar, and any distributed cache files/archives. spark.yarn.stagingDir: Current user's home directory in the filesystemOct 16, 2017 · Spark-submit can't locate local file. Ask Question Asked 5 years, 10 months ago. Modified 5 years, 10 months ago. Viewed 8k times 2 I've written a very simple python ... The second precedence goes to spark-submit options. Finally, properties specified in spark-defaults.conf file. When you are setting jars in different places, remember the precedence it takes. Use spark-submit with --verbose option to get more details about what jars Spark has used. 2.1 Add jars to the classpath using –jar OptionSpark Python Application – Example. Apache Spark provides APIs for many popular programming languages. Python is on of them. One can write a python script for Apache Spark and run it using spark-submit command line interface.Jul 26, 2021 · In Short : · Using spark-submit, the user submits an application. · In spark-submit, we invoke the main () method that the user specifies. It also launches the driver program. · The driver ... Nov 9, 2017 · As suspected, the two options ( sc.addFile and --files) are not equivalent, and this is (admittedly very subtly) hinted at the documentation (emphasis added): addFile (path, recursive=False) Add a file to be downloaded with this Spark job on every node. --files FILES. Comma-separated list of files to be placed in the working directory of each ... Using PySpark Native Features ¶. PySpark allows to upload Python files ( .py ), zipped Python packages ( .zip ), and Egg files ( .egg ) to the executors by one of the following: Setting the configuration setting spark.submit.pyFiles. Setting --py-files option in Spark scripts. Directly calling pyspark.SparkContext.addPyFile () in applications.May 12, 2020 · Spark on Kubernetes doesn't support submitting locally stored files with spark-submit. In case if you wanted to run a PySpark application using spark-submit from a shell, use the below example. Specify the .py file you wanted to run and you can also specify the .py, .egg, .zip file to spark submit command using --py-files option for any dependencies. ./bin/spark-submit \ --master yarn \ --deploy-mode cluster \ wordByExample.py. In case if you wanted to run a PySpark application using spark-submit from a shell, use the below example. Specify the .py file you wanted to run and you can also specify the .py, .egg, .zip file to spark submit command using --py-files option for any dependencies. ./bin/spark-submit \ --master yarn \ --deploy-mode cluster \ wordByExample.py. spark.yarn.submit.file.replication: The default HDFS replication (usually 3) HDFS replication level for the files uploaded into HDFS for the application. These include things like the Spark jar, the app jar, and any distributed cache files/archives. spark.yarn.stagingDir: Current user's home directory in the filesystemspark.yarn.submit.file.replication: The default HDFS replication (usually 3) HDFS replication level for the files uploaded into HDFS for the application. These include things like the Spark jar, the app jar, and any distributed cache files/archives. 0.8.1: spark.yarn.stagingDir: Current user's home directory in the filesystem Apr 4, 2017 · 2. When using spark-submit with --master yarn-cluster, the application JAR file along with any JAR file included with the --jars option will be automatically transferred to the cluster. URLs supplied after --jars must be separated by commas. That list is included in the driver and executor classpaths. I have a CSV file "test.csv" that I'm trying to have copied to all nodes on the cluster. I have a 4 node apache-spark 1.5.2 standalone cluster.Referencing here and here, I expect that I should be able to change the name by which a file is referenced in Spark by using an octothorpe - that is, if I call spark-submit --files local-file-name.json#spark-file-name.json, I should then be able to reference the file as spark-file-name.json. However, this doesn't appear to be the case:for me, run spark on yarn,just add --files log4j.properties makes everything ok. 1. make sure the directory where you run spark-submit contains file "log4j.properties". 2. run spark-submit ... --files log4j.properties. let's see why this work. 1.spark-submit will upload log4j.properties to hdfs like this Spark-Submit Compatibility. You can use spark-submit compatible options to run your applications using Data Flow. Spark-submit is an industry standard command for running applications on Spark clusters. The following spark-submit compatible options are supported by Data Flow: --conf. --files. --py-files. --jars.With the --files option you put the file in your working directory on the executor. You are trying to point to the file using an absolute path which is not what files option does for you. Can you use just the name "rule2.xml" and not a path. When you read the documentation for the files. See the important note at the bottom of the page running ...Nov 26, 2018 · spark-submit --master yarn --jars <comma-separated-jars> --conf <spark-properties> --name <job_name> <python_file> <argument 1> <argument 2> eg: spark-submit --master yarn --jars example.jar --conf spark.executor.instances=10 --name example_job example.py arg1 arg2 For mnistOnSpark.py you should pass arguments as mentioned in the command above ... But configuration file is imported in some other python file that is not entry point for spark application . I want to write spark submit command in pyspark , but I am not sure how to provide multiple files along configuration file with spark submit command when configuration file is not python file but text file or ini file.Feb 12, 2019 · 2. In my Spark job I read some additional data from resources files. Some example Resources.getResource ("/more-data") It works great locally, and when I run from spark-submit master=local [*] I only to need to add --conf=spark.driver.extraClassPath=moredata. Moving to cluster mode (Yarn) it is no longer able to find the folder. Aug 16, 2020 · java.io.FileNotFoundException for a file sent in Spark-submit --files. 1. How to pass arguments to spark-submit using docker. 0. Running Scala Jar with Spark-Submit. 4. Jun 29, 2015 · I want to store the Spark arguments such as input file, output file into a Java property files and pass that file into Spark Driver. I'm using spark-submit for submitting the job but couldn't find a parameter to pass the properties file. To do so, specify the spark properties spark.kubernetes.driver.podTemplateFile and spark.kubernetes.executor.podTemplateFile to point to local files accessible to the spark-submit process. To allow the driver pod access the executor pod template file, the file will be automatically mounted onto a volume in the driver pod when it’s created.

The spark-submit script in Spark’s bin directory is used to launch applications on a cluster. It can use all of Spark’s supported cluster managers through a uniform interface so you don’t have to configure your application specially for each one. Bundling Your Application’s Dependencies. Ghcea

spark.yarn.submit.file.replication: The default HDFS replication (usually 3) HDFS replication level for the files uploaded into HDFS for the application. These include things like the Spark jar, the app jar, and any distributed cache files/archives. 0.8.1: spark.yarn.stagingDir: Current user's home directory in the filesystem for me, run spark on yarn,just add --files log4j.properties makes everything ok. 1. make sure the directory where you run spark-submit contains file "log4j.properties". 2. run spark-submit ... --files log4j.properties. let's see why this work. 1.spark-submit will upload log4j.properties to hdfs like thisThe easiest way to set some config: spark.conf.set ("spark.sql.shuffle.partitions", 500). Where spark refers to a SparkSession, that way you can set configs at runtime. It's really useful when you want to change configs again and again to tune some spark parameters for specific queries. Share.Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about TeamsApr 21, 2017 · It turned out that since I'm submitting my application in client mode, then the machine I run the spark-submit command from will run the driver program and will need to access the module files. I added my module to the PYTHONPATH environment variable on the node I'm submitting my job from by adding the following line to my .bashrc file (or ... All the keys needs to be prefixed with spark. then use the spark-submit command like this to pass the properties file. bin/spark-submit --properties-file propertiesfile.properties. Then in the code you can get the keys using below sparkcontext getConf method. sc.getConf.get ("spark.key1") // returns value1.The Spark shell and spark-submit tool support two ways to load configurations dynamically. The first are command line options, such as --master, as shown above. spark-submit can accept any Spark property using the --conf flag, but uses special flags for properties that play a part in launching the Spark application.for me, run spark on yarn,just add --files log4j.properties makes everything ok. 1. make sure the directory where you run spark-submit contains file "log4j.properties". 2. run spark-submit ... --files log4j.properties. let's see why this work. 1.spark-submit will upload log4j.properties to hdfs like thisTo download the log files for an application, issue the spark-submit.sh command with the --download-app-logs option. Display the contents of a single log file: To display the contents of a single cluster log file, issue the spark-submit.sh command with the --display-cluster-log option.Jun 29, 2015 · I want to store the Spark arguments such as input file, output file into a Java property files and pass that file into Spark Driver. I'm using spark-submit for submitting the job but couldn't find a parameter to pass the properties file. The Spark shell and spark-submit tool support two ways to load configurations dynamically. The first is command line options, such as --master, as shown above. spark-submit can accept any Spark property using the --conf/-c flag, but uses special flags for properties that play a part in launching the Spark application. All the keys needs to be prefixed with spark. then use the spark-submit command like this to pass the properties file. bin/spark-submit --properties-file propertiesfile.properties. Then in the code you can get the keys using below sparkcontext getConf method. sc.getConf.get ("spark.key1") // returns value1..

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