YARN-4341. add doc about timeline performance tool usage (Chang Li via sjlee)
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@ -555,6 +555,9 @@ Release 2.8.0 - UNRELEASED
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YARN-4248. REST API for submit/update/delete Reservations. (curino)
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YARN-4341. add doc about timeline performance tool usage (Chang Li via
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sjlee)
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OPTIMIZATIONS
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YARN-3339. TestDockerContainerExecutor should pull a single image and not
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@ -26,6 +26,10 @@ The YARN Timeline Server
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* [Publishing of application specific data](#Publishing_of_application_specific_data)
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* [Timeline Server REST API](#Timeline_Server_REST_API_v1)
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* [Generic Data REST APIs](#GENERIC_DATA_REST_APIS)
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* [Timelnine Server Performance Test Tool](#TIMELINE_SERVER_PERFORMANCE_TEST_TOOL)
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* [Highlights](#HIGHLIGHTS)
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* [Usage](#USAGE)
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* [Sample Runs](#SAMPLE_RUNS)
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<a name="Overview"></a>Overview
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---------
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@ -2033,3 +2037,77 @@ This hides details of other domains from an unauthorized caller.
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this failure *will not* result in an HTTP error code being retured.
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A status code of 200 will be returned —however, there will be an error code
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in the list of failed entities for each entity which could not be added.
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<a name="TIMELINE_SERVER_PERFORMANCE_TEST_TOOL"></a> Timelnine Server Performance Test Tool
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----------
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###<a name="HIGHLIGHTS"></a>Highlights
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The timeline server performance test tool helps measure timeline server's write performance. The test
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launches SimpleEntityWriter mappers or JobHistoryFileReplay mappers to write timeline
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entities to the timeline server. At the end, the transaction rate(ops/s) per mapper and the total transaction rate
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will be measured and printed out. Running the test with SimpleEntityWriter mappers
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will also measure and show the IO rate(KB/s) per mapper and the total IO rate.
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###<a name="USAGE"></a>Usage
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Mapper Types Description:
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1. SimpleEntityWriter mapper
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Each mapper writes a user-specified number of timeline entities
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with a user-specified size to the timeline server.
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2. JobHistoryFileReplay mapper
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Each mapper replays jobhistory files under a specified directory
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(both the jhist file and its corresponding conf.xml are required to
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be present in order to be replayed. The number of mappers should be no more
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than the number of jobhistory files).
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Each mapper will get assigned some jobhistory files to replay. For each
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job history file, a mapper will parse it to get jobinfo and then create
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timeline entities. Each mapper also has the choice to write all the
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timeline entities created at once or one at a time.
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Options:
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[-m <maps>] number of mappers (default: 1)
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[-v] timeline service version
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[-mtype <mapper type in integer>]
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1. simple entity write mapper
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2. jobhistory files replay mapper
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[-s <(KBs)test>] number of KB per put (mtype=1, default: 1 KB)
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[-t] package sending iterations per mapper (mtype=1, default: 100)
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[-d <path>] root path of job history files (mtype=2)
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[-r <replay mode>] (mtype=2)
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1. write all entities for a job in one put (default)
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2. write one entity at a time
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###<a name="SAMPLE_RUNS"></a>Sample Runs
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Run SimpleEntityWriter test:
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bin/hadoop jar performanceTest.jar timelineperformance -m 4 -mtype 1 -s 3 -t 200
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Example output of SimpleEntityWriter test :
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TRANSACTION RATE (per mapper): 20000.0 ops/s
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IO RATE (per mapper): 60000.0 KB/s
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TRANSACTION RATE (total): 80000.0 ops/s
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IO RATE (total): 240000.0 KB/s
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Run JobHistoryFileReplay mapper test
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$ bin/hadoop jar performanceTest.jar timelineperformance -m 2 -mtype 2 -d /testInput -r 2
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Example input of JobHistoryFileReplay mapper test:
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$ bin/hadoop fs -ls /testInput
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/testInput/job_1.jhist
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/testInput/job_1_conf.xml
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/testInput/job_2.jhist
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/testInput/job_2_conf.xml
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Eample output of JobHistoryFileReplay test:
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TRANSACTION RATE (per mapper): 4000.0 ops/s
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IO RATE (per mapper): 0.0 KB/s
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TRANSACTION RATE (total): 8000.0 ops/s
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IO RATE (total): 0.0 KB/s
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