eG Monitoring
 

Measures reported by HiveServer2AllQyTest

The efficiency of the Apache Hive service can be measured by the quality of the queries. By periodically checking the feedback returned by the data query engine, administrators can determine the number of queries that may have to be optimized before being executed. The Hive Query Statistics test helps administrators perform this check at regular intervals. With the help of the metrics reported by this test, administrators can quickly figure out the number of queries that succeeded and the queries that failed.

Outputs of the test: One set of results for the target Apache Hive

The measures made by this test are as follows:

Measurement Description Measurement Unit Interpretation
succQuery Indicates the number of total/active queries that succeeded. Number

A very high value is desired for this measure.

failedQuery Indicates the number of total/active queries that failed. Number

Ideally, the value of this measure should be 0. A non-zero value could indicate that one/more queries have failed.

comQuery Indicates the number of total/active compiling queries. Number

 

exeQuery Indicates the number of total/active executing queries. Number

A very high value is desired for this measure.

subQuery Indicates the number of total/active submitted queries. Number

 

waitQuery Indicates the number of total/active queries waiting for compilation. Number

Ideally, the value of this measure should be 0.