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1 change: 1 addition & 0 deletions cloudbuild_CI.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,7 @@ steps:
- '--run_unit_tests'
- '--run_presubmit_tests'
- '--run_preprocessor_tests'
- '--run_bq_to_vcf_tests'
id: 'test-gcp-variant-transforms-docker'
# By default the script uses a GS bucket of gcp-variant-transforms-test
# project. For other projects we should either use the following option
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5 changes: 5 additions & 0 deletions docs/bigquery_to_vcf.md
Original file line number Diff line number Diff line change
Expand Up @@ -89,6 +89,11 @@ In addition, the following optional flags are provided:
You may change this flag if you have a dataset that is very dense and variants
in each shard cannot be sorted in memory.

For large datasets, using
[Cloud Dataflow Shuffle](https://cloud.google.com/dataflow/service/dataflow-service-desc#cloud-dataflow-shuffle)
can speed up the pipeline, by specifying the parameter:
`--experiments shuffle_mode=service`.

### Running from github

In addition to using the docker image, you may run the pipeline directly from
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