Triggering spark jobs with REST - 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

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 2

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

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

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 5

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" ]
}