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Profiling Tremor

This is a short canned synopsis of profiling tremor.


We use valgrind, specifically callgrind, to drive call graph optimizations in tremor.

Setup on Mac OS X

Install valgrind via homebrew

brew install valgrind

Dependent utilities

The Google Performance Toolkit, gprof2dot, qcachegrind are also required / useful.

brew install gprof2dot
brew install gperftools
brew install qcachegrind

Basic profiling via tremor

This is good enough for initial high-level exploration.

For example, run a tremor pipeline against recorded data in data.json

valgrind --tool=callgrind target/debug/tremor run tests/configs/ut.combine3-op.yaml data.json

Analysing results via google perf toolkit and graphviz for static call flow diagrams

gprof2dot -f callgrind callgrind.out.93972 >
dot -Tpng -o pipe.png && open pipe.png

Interactive analysis via QCachegrind / KCachegrind

qcachegrind callgrind.out.93972

The profiling ( sampling ) frequency is tunable and SHOULD be tuned for each run, eg:

RUST_BACKTRACE=1 PROFILEFREQUENCY=1000 valgrind --tool=callgrind \
target/release/tremor run examples/config-spike5.tremor data.json

When using a release build make sure debug symbols are configured in Cargo.toml and enable link time optimisations ( LTO ).


Install rust flamegraph support:

cargo install flamegraph

Perform a benchmark run with flamegraph support ( on Mac OS X ):

flamegraph target/release/tremor server run -f bench/real-workflow-througput-json.yaml bench/link.yaml

This generates a flamegraph.svg file which can be opened from a browser.

open flamegraph.svg