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)