Update README.md

Author: s8sg

README.md

@@ -8,31 +8,29 @@ A python library that can submit spark job to spark yarn cluster using rest API
 ### Getting Started:
 
 #### Use the library
-**Spark Job Handler**:  
-**jobName:** name of the Spark Job   
-**jar:** location of the Jar (local/hdfs)  
-**run_class:** Entry class of the appliaction   
-**hadoop_rm:** hadoop resource manager host ip  
-**hadoop_web_hdfs:** hadoop web hdfs ip   
-**hadoop_nn:** hadoop name node ip (Normally same as of web_hdfs)  
-**env_type**: env type is CDH or HDP  
-**local_jar:** flag to define if a jar is local (Local jar gets uploaded to hdfs)  
-**spark_properties:** custom properties that need to be set  
-
 ```python
-	# Import the SparkJobHandler
-	from spark_job_handler import SparkJobHandler
+# Import the SparkJobHandler
+from spark_job_handler import SparkJobHandler
 
-	...
+...
 
-	logger = logging.getLogger('TestLocalJobSubmit')
-	# Create a spark JOB
-	sparkJob = SparkJobHandler(logger=logger, job_name="test_local_job_submit", 
-					jar="./simple-project/target/scala-2.10/simple-project_2.10-1.0.jar",
-					run_class="IrisApp", hadoop_rm='rma', hadoop_web_hdfs='nn', hadoop_nn='nn',
-					env_type="CDH", local_jar=True, spark_properties=None)
-	trackingUrl = sparkJob.run()
-	print "Job Tracking URL: %s" % trackingUrl
+logger = logging.getLogger('TestLocalJobSubmit')
+# Create a spark JOB
+# jobName:           name of the Spark Job   
+# jar:               location of the Jar (local/hdfs)  
+# run_class:         entry class of the appliaction   
+# hadoop_rm:         hadoop resource manager host ip  
+# hadoop_web_hdfs:   hadoop web hdfs ip   
+# hadoop_nn:         hadoop name node ip (Normally same as of web_hdfs)  
+# env_type:          env type is CDH or HDP  
+# local_jar:         flag to define if a jar is local (Local jar gets uploaded to hdfs)  
+# spark_properties:  custom properties that need to be set 
+sparkJob = SparkJobHandler(logger=logger, job_name="test_local_job_submit", 
+			jar="./simple-project/target/scala-2.10/simple-project_2.10-1.0.jar",
+			run_class="IrisApp", hadoop_rm='rma', hadoop_web_hdfs='nn', hadoop_nn='nn',
+			env_type="CDH", local_jar=True, spark_properties=None)
+trackingUrl = sparkJob.run()
+print "Job Tracking URL: %s" % trackingUrl
 ```
 The above code starts an spark application using the local jar (simple-project/target/scala-2.10/simple-project_2.10-1.0.jar)  
 For more example see the [test_spark_job_handler.py](https://github.com/s8sg/spark-py-submit/blob/master/test_spark_job_handler.py)  
@@ -68,11 +66,12 @@ Run the test:
   $ python test_spark_job_handler.py 
 ```
 
-#### Utility:
+### Utility:
 * upload_to_hdfs.py: upload local file to hdfs file system
 
-#### Notes: 
-The Library is still in early stage and need testing, fixing and documentation   
+### Notes: 
+The Library is still in early stage and need testing, bug-fixing and documentation   
 Before running, follow the below steps:   
-* Update the Port if required in settings.py  
-* Make the spark-jar available in hdfs as: `/user/spark/share/lib/spark-assembly.jar`
+* Update the ResourceManager,NameNode and WebHDFS Port if required in settings.py  
+* Make the spark-jar available in hdfs as: `hdfs:/user/spark/share/lib/spark-assembly.jar`  
+For Contribution Please Create Issue corresponding PR