I'm using bazel on a computer with 4 GB RAM (to compile the tensorflow project). Bazel does however not take into account the amount of memory I have and spawns too many jobs causing my machine to swap and leading to a longer build time.
I already tried setting the ram_utilization_factor flag through the following lines in my ~/.bazelrc
build --ram_utilization_factor 30
test --ram_utilization_factor 30
but that did not help. How are these factors to be understood anyway? Should I just randomly try out some others?
Some other flags that might help:
--host_jvm_args
can be used to set how much memory the JVM should use by setting -Xms
and/or -Xmx
, e.g., bazel --host_jvm_args=-Xmx4g --host_jvm_args=-Xms512m build //foo:bar
(docs).--local_resources
in conjunction with the --ram_utilization_factor
flag (docs).--jobs=10
(or some other low number, it defaults to 200), e.g. bazel build --jobs=2 //foo:bar
(docs).Note that --host_jvm_args
is a startup option so it goes before the command (build
) and --jobs
is a "normal" build option so it goes after the command.