spark-flamegraph
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Easy CPU Profiling for Apache Spark applications
spark-flamegraph
Easy CPU Profiling for Apache Spark applications.
The script spark-submit-flamegraph is a wrapper around standard spark-submit that generates Flame Graph.
Supported Systems
- Amazon EMR
- Most Linux distributions
- Mac (with Homebrew installed)
Prerequisites
The script is adapted for work in Amazon EMR. Otherwise the following utilities must present on your system:
- perl
- python2.7 (or set
PYTHONenvironment variable to the Python executabl) - pip (or set
PIPenvironment variable to the pip utility)
Running
wget -O /usr/local/bin/spark-submit-flamegraph \
https://raw.githubusercontent.com/spektom/spark-flamegraph/master/spark-submit-flamegraph
chmod +x /usr/local/bin/spark-submit-flamegraph
Use spark-submit-flamegraph as a replacement for the spark-submit command.
Configuration
To configure use the following environment variables:
| Environment Variable | Description | Default value |
|---|---|---|
SPARK_CMD |
Spark command to run | spark-submit |
PYTHON |
Path to the Python executable | python2.7 |
PIP |
Path to the pip utility | pip |
For example, to profile Spark shell session set SPARK_CMD environment variable:
SPARK_CMD=spark-shell /usr/local/bin/spark-submit-flamegraph
Details
The script does the following operations to make profiling Spark applications as easy as possible:
- Downloads InfluxDB, and starts it on some random port.
- Starts Spark application using original
spark-submitcommand, with the StatsD profiler Jar in its classpath and with the configuration that tells it to report statistics back to the InfluxDB instance. - After running Spark application, queries all the reported metrics from the InfluxDB instance.
- Run a script that generates the .SVG file.
- Stops the InfluxDB instance.