view-spark-timeline

View Spark Timeline

Command line application to visualize the timeline of Apache Spark executions, reading Spark's log files.

A fundamental assumption is that all the executors are added before the Spark application submits any job. That is, this tool does not support dynamic scaling.

Can you spot the bottleneck from the following visualization?

.. image:: docs/example-timeline.svg

Image explanation

On the vertical axis we have the executor cores (grouped by executor). On the horizontal axis we have the time, going from left to right. Each task is a horizontal bar that starts at a certain time on a core of an executor and ends after some time. The color normally ranges from green, used for shorter tasks, to red, used for longer tasks. Failed tasks are black. All the white space corresponds to some unused core.

Usually, the greener the image is, the better. If there is a bottleneck in the execution it is easy to spot the guilty task(s). By opening the SVG in a browser and by moving the mouse over a task there should appear a tooltip with the task ID. It is then useful to inspect the task using the standard Spark UI.

Installation

.. code-block:: bash

pip install view-spark-timeline

Example

.. code-block:: bash

view-spark-timeline -i examples/application_1472176676028_555248_1 -o docs/timeline.svg -u 1000

Output:

.. code-block:: text

Read events from 'examples/application_1472176676028_555248_1'...
Total cores: 32
Total duration: 312.5s
Number of tasks: 2990
Min task duration: 0.0s
Max task duration: 25.9s
Cluster utilization: 57.70%
Drawing events...
Read events from 'examples/application_1472176676028_555248_1'...
SVG size: 1500 160
Saving SVG...

Usage

.. code-block:: bash

view-spark-timeline --help

Output:

.. code-block:: text

usage: view-spark-timeline [-h] -i INPUT_LOG -o OUTPUT_IMAGE
                       [-t TIME_UNCERTAINTY] [-v]

Visualize the timeline of a Spark execution from its log file. (v0.2.0)

optional arguments:
-h, --help            show this help message and exit
-i INPUT_LOG, --input-log INPUT_LOG
                        path to the spark's application log
-o OUTPUT_IMAGE, --output-image OUTPUT_IMAGE
                        path of the output image
-u TIME_UNCERTAINTY, --time-uncertainty TIME_UNCERTAINTY
                        maximum allowed time uncertainty (in ms) of the
                        timestamps in the log file. An high uncertainty
                        determines a slower, but more robust, execution.
                        (Default: 0)
-v, --version         print version and exit

License

Copyright (c) 2017-2020, Federico Poli [e-mail]

This project, except for files in the :literal:lib and :literal:examples folders, is released under the MIT license.