I am using the Spark JobServer Java Client from this GitHub project:
https://github.com/bluebreezecf/SparkJobServerClient
I am able to upload a Jar containing the Job I want to execute to Spark JobServer. The logs indicate it is stored in /tmp/spark-jobserver directory structure. However, when accessing it from the context I create, the Job class if not found, so the Jar is not being loaded for my Job request.
EDIT: I later discovered that the jar that is uploaded by the Java Client is corrupt. That is why Spark JobServer cannot use it. When I manually replaced it with a good Jar the JobServer ran it fine. Now, the real problem is related to the client's uploadSparkJobJar() API.
org.khaleesi.carfield.tools.sparkjobserver.api.SparkJobServerClientException: Spark Job Server http://sparkjobserverhost:8090/ response 404 { "status": "ERROR", "result": "classPath org.kritek.scalability.jobs.Olap1 not found" }
Here is my code:
//POST /contexts/<name>--Create context with parameters
Map<String, String> params = new HashMap<String, String>();
params.put(ISparkJobServerClientConstants.PARAM_MEM_PER_NODE, "512m");
params.put(ISparkJobServerClientConstants.PARAM_NUM_CPU_CORES, "10");
params.put("dependent-jar-uris", "file:///tmp/spark-jobserver/filedao/data/olap1_job-2016-08-11T04_47_07.802Z.jar");
boolean success = client.createContext(contextName, params);
assertTrue(success);
//dependent-jar-uris=file:///some/path/of/my-foo-lib.jar
//Post /jobs---Create a new job
params.put(ISparkJobServerClientConstants.PARAM_APP_NAME, appName);
params.put(ISparkJobServerClientConstants.PARAM_CLASS_PATH, "org.kritek.scalability.jobs.Olap1");
SparkJobResult result = null;
String jobId = null;
params.put(ISparkJobServerClientConstants.PARAM_CONTEXT, contextName);
params.put(ISparkJobServerClientConstants.PARAM_SYNC, "true");
result = client.startJob("conf-1=1", params);