Triggering spark jobs with REST

Question

I have been of late trying out apache spark. My question is more specific to trigger spark jobs. Here I had posted question on understanding spark jobs. After getting dirty on jobs I moved on to my requirement.

I have a REST end point where I expose API to trigger Jobs, I have used Spring4.0 for Rest Implementation. Now going ahead I thought of implementing Jobs as Service in Spring where I would submit Job programmatically, meaning when the endpoint is triggered, with given parameters I would trigger the job. I have now few design options.

• Similar to the below written job, I need to maintain several Jobs called by a Abstract Class may be JobScheduler .

   /*Can this Code be abstracted from the application and written as 
    as a seperate job. Because my understanding is that the 
   Application code itself has to have the addJars embedded 
   which internally  sparkContext takes care.*/
  
   SparkConf sparkConf = new SparkConf().setAppName("MyApp").setJars(
   new String[] { "/path/to/jar/submit/cluster" })
   .setMaster("/url/of/master/node");
    sparkConf.setSparkHome("/path/to/spark/");
  
          sparkConf.set("spark.scheduler.mode", "FAIR");
          JavaSparkContext sc = new JavaSparkContext(sparkConf);
          sc.setLocalProperty("spark.scheduler.pool", "test");
  
      // Application with Algorithm , transformations
  

• extending above point have multiple versions of jobs handled by service.

• Or else use an Spark Job Server to do this.

Firstly, I would like to know what is the best solution in this case, execution wise and also scaling wise.

Note : I am using a standalone cluster from spark. kindly help.

Answer 1

Even I had this requirement I could do it using Livy Server, as one of the contributor Josemy mentioned. Following are the steps I took, hope it helps somebody:

Download livy zip from https://livy.apache.org/download/
Follow instructions:  https://livy.apache.org/get-started/


Upload the zip to a client.
Unzip the file
Check for the following two parameters if doesn't exists, create with right path
export SPARK_HOME=/opt/spark
export HADOOP_CONF_DIR=/opt/hadoop/etc/hadoop

Enable 8998 port on the client

Update $LIVY_HOME/conf/livy.conf with master details any other stuff needed
Note: Template are there in $LIVY_HOME/conf
Eg. livy.file.local-dir-whitelist = /home/folder-where-the-jar-will-be-kept/


Run the server
$LIVY_HOME/bin/livy-server start

Stop the server
$LIVY_HOME/bin/livy-server stop

UI: <client-ip>:8998/ui/

Submitting job:POST : http://<your client ip goes here>:8998/batches
{
  "className" :  "<ur class name will come here with package name>",
  "file"  : "your jar location",
  "args" : ["arg1", "arg2", "arg3" ]

}

Answer 2

Here is a good client that you might find helpful: https://github.com/ywilkof/spark-jobs-rest-client

Edit: this answer was given in 2015. There are options like Livy available now.

Answer 3

Livy is an open source REST interface for interacting with Apache Spark from anywhere. It supports executing snippets of code or programs in a Spark context that runs locally or in Apache Hadoop YARN.

Answer 4

It turns out Spark has a hidden REST API to submit a job, check status and kill.

Check out full example here: http://arturmkrtchyan.com/apache-spark-hidden-rest-api

Answer 5

Just use the Spark JobServer https://github.com/spark-jobserver/spark-jobserver

There are a lot of things to consider with making a service, and the Spark JobServer has most of them covered already. If you find things that aren't good enough, it should be easy to make a request and add code to their system rather than reinventing it from scratch