Profiling Lrama¶ ↑

To help improve Lrama’s processing speed and reduce its memory usage, Lrama supports two profiling options:

• Call-stack profiling using the stackprof gem

• Memory profiling using the memory_profiler gem

Call-stack Profiling Lrama¶ ↑

1. Create parse.tmp.y in ruby/ruby¶ ↑

$ ruby tool/id2token.rb parse.y > parse.tmp.y
$ cp parse.tmp.y dir/lrama/tmp

2. Run Lrama¶ ↑

$ exe/lrama -o parse.tmp.c --header=parse.tmp.h --profile=call-stack tmp/parse.tmp.y

3. Generate Flamegraph¶ ↑

$ stackprof --d3-flamegraph tmp/stackprof-cpu-myapp.dump > tmp/flamegraph.html

Memory Profiling Lrama¶ ↑

1. Create parse.tmp.y in ruby/ruby¶ ↑

$ ruby tool/id2token.rb parse.y > parse.tmp.y
$ cp parse.tmp.y dir/lrama/tmp

2. Run Lrama¶ ↑

$ exe/lrama -o parse.tmp.c --header=parse.tmp.h --profile=memory tmp/parse.tmp.y

Then “tmp/memory_profiler.txt” is generated.