eG Monitoring
 

Measures reported by HiveServer2ExeEngTest

An Execution Engine is used to communicate with Hadoop daemons such as Name node, Data nodes, and job tracker to execute the Hive query on top of Hadoop file system. It executes the execution plan created by the compiler. This test reports the number of tasks executed by the engines namely Mapreduce, Spark and Tez in the target Apache Hive and helps the administrators to sort out which engine is imposing the maximum load on the Apache Hive data warehouse.

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
mrTask Indicates the total number of MapReduce tasks that are currently running on Apache Hive. Number

Compare the value of this measure across other tasks to know which task is imposing the maximum load on the Apache Hive data warehouse.
sparkTask Indicates the total number of Spark tasks that are currently running on Apache Hive. Number

 
tezTask Indicates the total number of Tez tasks that are currently running on Apache Hive. Number