This directory contains benchmarks for BigQuery client, used primarily by library maintainers to measure changes that may affect library performance.
go run bench.go
--reruns
can be used to override the default number of times a query is rerun.
--projectid
can be used to run benchmarks in a different project. If unset, the GOOGLE_CLOUD_PROJECT
environment variable is used.
--queryfile
can be used to override the default file which contains queries to be instrumented.
--table
can be used to specify a table to which benchmarking results should be streamed. The format for this string is in BigQuery standard SQL notation without escapes, e.g. projectid.datasetid.tableid
--create_table
can be used to have the benchmarking tool create the destination table prior to streaming.
--tag
allows arbitrary key:value pairs to be set. This flag can be specified multiple times.
Setting all the flags
go run bench.go \
--reruns=5 \
--projectid=test_project_id \
--table=logging_project_id.querybenchmarks.measurements \
--create_table \
--tag=source:myhostname \
--tag=somekeywithnovalue \
--tag=experiment:special_environment_thing
Or, a more realistic invocation using shell substitions:
go run bench.go \
--reruns=5 \
--table=$BENCHMARK_TABLE \
--tag=origin:$(hostname) \
--tag=branch:$(git branch --show-current) \
--tag=latestcommit:$(git log --pretty=format:'%H' -n 1)