source: proiecte/HadoopJUnit/hadoop-0.20.1/contrib/vaidya/conf/postex_diagnosis_tests.xml @ 120

<?xml version="1.0" encoding="ISO-8859-1"?>
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<!-- This is a diagnostic test configuration file. Diagnostic test driver 
     reads this file to get the list of tests and their configuration information
     
   Title            : Provides brief description of the test
   ClassName        : Provides the fully qualified java class name that implements the test condition
   Description      : Provides detailed information about the test describing how it checks for a specific
                        performance problem.
   SuccessThreshold : (value between [0..1])        
                    : Evaluation of a diagnostic test returns its level of impact on the job
                      performance. If impact value [between 0..1] is equal or greater than the 
                      success threshold, means rule has detected the problem (TEST POSITIVE) else 
                      rule has passed the test (TEST NEGATIVE). The impact level is calculated and 
                      returned by each test's evaluate method. For tests that are boolean in nature 
                      the impact level is either 0 or 1 and success threshold should be 1.
   Importance       : Indicates relative importance of this diagnostic test among the set of
                      diagnostic rules defined in this file. Three declarative values that
                      can be assigned are High, Medium or Low
   Prescription     : This is an optional element to store the advice to be included in the report upon test failure
                      This is overwritten in the report by any advice/prescription text returned by getPrescription method of 
                      DiagnosticTest.  
   InputElement     : Input element is made available to the diagnostic test for it to interpret and accept 
                      any parameters specific to the test. These test specific parameters are used to configure 
                      the tests without changing the java code.
-->
<PostExPerformanceDiagnosisTests>

<DiagnosticTest>
  <Title><![CDATA[Balanaced Reduce Partitioning]]></Title>
  <ClassName><![CDATA[org.apache.hadoop.vaidya.postexdiagnosis.tests.BalancedReducePartitioning]]></ClassName>
  <Description><![CDATA[This rule tests as to how well the input to reduce tasks is balanced]]></Description>
  <Importance><![CDATA[High]]></Importance> 
  <SuccessThreshold><![CDATA[0.20]]></SuccessThreshold>
  <Prescription><![CDATA[advice]]></Prescription>
  <InputElement>
    <PercentReduceRecords><![CDATA[0.85]]></PercentReduceRecords>
  </InputElement>
</DiagnosticTest>

<DiagnosticTest>
  <Title><![CDATA[Impact of Map tasks Re-Execution]]></Title>
  <ClassName><![CDATA[org.apache.hadoop.vaidya.postexdiagnosis.tests.MapsReExecutionImpact]]></ClassName>
  <Description><![CDATA[This test rule checks percentage of map task re-execution impacting the job performance]]></Description>
  <Importance><![CDATA[High]]></Importance> 
  <SuccessThreshold><![CDATA[0.40]]></SuccessThreshold>
  <Prescription><![CDATA[default advice]]></Prescription>
  <InputElement>
  </InputElement>
</DiagnosticTest>

<DiagnosticTest>
  <Title><![CDATA[Impact of Reduce tasks Re-Execution]]></Title>
  <ClassName><![CDATA[org.apache.hadoop.vaidya.postexdiagnosis.tests.ReducesReExecutionImpact]]></ClassName>
  <Description><![CDATA[This test rule checks percentage of reduce task re-execution impacting the job performance]]></Description>
  <Importance><![CDATA[High]]></Importance> 
  <SuccessThreshold><![CDATA[0.40]]></SuccessThreshold>
  <Prescription><![CDATA[default advice]]></Prescription>
  <InputElement>
  </InputElement>
</DiagnosticTest>

<DiagnosticTest>
  <Title><![CDATA[Map and/or Reduce tasks reading HDFS data as a side effect]]></Title>
  <ClassName><![CDATA[org.apache.hadoop.vaidya.postexdiagnosis.tests.ReadingHDFSFilesAsSideEffect]]></ClassName>
  <Description><![CDATA[This test rule checks if map/reduce tasks are reading data from HDFS as a side effect. More the data read as a side effect can potentially be a bottleneck across parallel execution of map/reduce tasks.]]></Description>
  <Importance><![CDATA[High]]></Importance> 
  <SuccessThreshold><![CDATA[0.05]]></SuccessThreshold>
  <Prescription><![CDATA[default advice]]></Prescription>
  <InputElement>
  </InputElement>
</DiagnosticTest>

<DiagnosticTest>
  <Title><![CDATA[Map side disk spill]]></Title>
  <ClassName><![CDATA[org.apache.hadoop.vaidya.postexdiagnosis.tests.MapSideDiskSpill]]></ClassName>
  <Description><![CDATA[This test rule checks if Map tasks are spilling the data on to the local disk during the map side sorting due to insufficient sort buffer size. The impact is calculated as ratio between local bytes written to map output bytes. Impact is normalized using NormalizationFactor given below and any value greater than or equal to normalization factor is treated as maximum (i.e. 1). ]]></Description>
  <Importance><![CDATA[Low]]></Importance> 
  <SuccessThreshold><![CDATA[0.3]]></SuccessThreshold>
  <Prescription><![CDATA[default advice]]></Prescription>
  <InputElement>
    <NormalizationFactor>3.0</NormalizationFactor>
  </InputElement>
</DiagnosticTest>

</PostExPerformanceDiagnosisTests>