Skip to main content

Home

Event panel & insights

The Unravel intelligence (UI) engine helps you manage your applications more efficiently by providing insights into their run. The UI engine gives its insights and tuning suggesting via the Events Panel. Not all UI engine insights results in concrete recommendations, so to take full advantage you must read the efficiency panel. There is not a one-to-one correspondence between the event and recommendation number. A single event might lead to none or many recommendations.

Recommendations

Lists the parameters to change, shows their current and recommended value.

Efficiency

The efficiency list details the inefficiencies. The UI engine might:

  • Make a recommendation and note the expected result from such a change.

  • Make a configuration suggestion.

  • Suggest where to look to increase efficiency.

Below are two examples. Each type of job and instance of a job has events relevant to that particular job and instance.

MapReduce job example

This MapReduce job is part of a Hive Query. In this example the UI engine lists list four events and has three recommendations.

Recommendations

MapReduce-4Rec4Eff-Rec.png

Efficiency 1: Used too many reducers

Resulted in the one recommendation (#1).

MapReduce-4Rec4Eff-Eff1.png

Efficiency 2: Reduce tasks that start before map phase finishes.

Resulted in one suggestion.

MapReduce-4Rec4Eff-Eff2.png

Efficiency 3: Too many mappers.

Resulted in the two recommendations (#2 and #3).

MapReduce-4Rec4Eff-Eff3.png

Efficiency 4: Large data shuffle from map to reduce.

Resulted in a suggestion.

MapReduce-4Rec4Eff-Eff4-ex.png
Tez DAG example

This Tez DAG job is part of a Hive Query. In this example the UI engine lists list three events and has four recommendations.

Recommendations

Tez-Dag-Rec.png

Efficiency 1: Tez DAG map vertex used too many tasks.

Resulted in two suggestions (#3 and #4) and explanation of the problem.

Tez-Dag-Eff1.png

Efficiency 2: Tez DAG reducer vertex used too many tasks.

Resulted in one recommendation (#1).

Tez-Dag-Eff2.png

Efficiency 3: hive.exec.parallel is set to false.

Resulted in one recommendation (#2).

Tez-Dag-Eff3.png