Faisal created SPARK-15999:
------------------------------
Summary: Wrong/Missing information for Spark UI/REST port
Key: SPARK-15999
URL: https://issues.apache.org/jira/browse/SPARK-15999
Project: Spark
Issue Type: Bug
Components: Documentation, Streaming
Affects Versions: 1.5.0
Environment: CDH5.5.2, Spark 1.5.0
Reporter: Faisal
Priority: Minor
*Spark Monitoring documentation*
https://spark.apache.org/docs/1.5.0/monitoring.html
{quote}
You can access this interface by simply opening http://<driver-node>:4040 in a
web browser. If multiple SparkContexts are running on the same host, they will
bind to successive ports beginning with 4040 (4041, 4042, etc).
{quote}
This statement is very confusing and doesn't apply at all in spark streaming
jobs(unless i am missing something)
Same is the case with REST API calls.
{quote}
REST API
In addition to viewing the metrics in the UI, they are also available as JSON.
This gives developers an easy way to create new visualizations and monitoring
tools for Spark. The JSON is available for both running applications, and in
the history server. The endpoints are mounted at /api/v1. Eg., for the history
server, they would typically be accessible at http://<server-url>:18080/api/v1,
and for a running application, at http://localhost:4040/api/v1.
{quote}
I am running spark streaming job in CDH-5.5.2 Spark version 1.5.0
and nowhere on driver node, executor node for running/live application i am
able to call rest service.
My spark streaming jobs running in yarn cluster mode
--master yarn-cluster
However for historyServer
i am able to call REST service and can pull up json messages
using the URL
http://historyServer:18088/api/v1/applications
{code}
[ {
"id" : "application_1463099418950_11465",
"name" : "PySparkShell",
"attempts" : [ {
"startTime" : "2016-06-15T15:28:32.460GMT",
"endTime" : "2016-06-15T19:01:39.100GMT",
"sparkUser" : "abc",
"completed" : true
} ]
}, {
"id" : "application_1463099418950_11635",
"name" : "DataProcessor-ETL.ETIME",
"attempts" : [ {
"attemptId" : "1",
"startTime" : "2016-06-15T18:56:04.413GMT",
"endTime" : "2016-06-15T18:58:00.022GMT",
"sparkUser" : "abc",
"completed" : true
} ]
},
{code}
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