[ https://issues.apache.org/jira/browse/SPARK-15999?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Faisal updated SPARK-15999: --------------------------- Description: *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} Besides following description pointing to a broken link to http://metrics.codahale.com/ {quote}Spark has a configurable metrics system based on the Coda Hale Metrics Library. {quote} was: *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} {quote}Spark has a configurable metrics system based on the Coda Hale Metrics Library. {quote} URL(http://metrics.codahale.com/) defined for Code Hale Metrics Library is broken > 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} > Besides following description pointing to a broken link to > http://metrics.codahale.com/ > {quote}Spark has a configurable metrics system based on the Coda Hale Metrics > Library. {quote} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org