A flamegraph generator for Postgres
EXPLAIN ANALYZE output.
Try the demo here.
You can install via Homebrew with the follow command:
$ brew install mgartner/tap/pg_flame
Download pre-compiled binary
Download one of the compiled binaries in the releases
tab. Once downloaded, move
pg_flame into your
Alternatively, if you'd like to use Docker to build the program, you can.
$ docker pull mgartner/pg_flame
Build from source
If you'd like to build a binary from the source code, run the following commands. Note that compiling requires Go version 1.13+.
$ git clone https://github.com/mgartner/pg_flame.git $ cd pg_flame $ go build
pg_flame binary will be created that you can place in your
pg_flame program reads a JSON query plan from standard input and writes
the flamegraph HTML to standard ouput. Therefore you can pipe and direct input
and output however you desire.
$ psql dbname -qAtc 'EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON) SELECT id FROM users' \ | pg_flame \ > flamegraph.html \ && open flamegraph.html
Example: Multi-step with SQL file
Create a SQL file with the
EXPLAIN ANALYZE query.
-- query.sql EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON) SELECT id FROM users
Then run the query and save the JSON to a file.
$ psql dbname -qAtf query.sql > plan.json
Finally, generate the flamegraph HTML.
$ cat plan.json | pg_flame > flamegraph.html
If you've followed the Docker installation steps above, you can pipe query plan JSON to a container and save the output HTML.
$ psql dbname -qAtc 'EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON) SELECT id FROM users' \ | docker run -i pg_flame \ > flamegraph.html
Flamegraphs were invented by Brendan Gregg to visualize CPU consumption per code-path of profiled software. They are useful visualization tools in many types of performance investigations. Flamegraphs have been used to visualize Oracle database query plans and query executions , proving useful for debugging slow database queries.
Pg_flame is in extension of that work for Postgres query plans. It generates a visual hierarchy of query plans. This visualization identifies the relative time of each part of a query plan.
This tool relies on the
spiermar/d3-flame-graph plugin to
generate the flamegraph.