pabloem commented on a change in pull request #12485:
URL: https://github.com/apache/beam/pull/12485#discussion_r468825677
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File path: sdks/python/apache_beam/io/gcp/bigquery.py
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@@ -304,6 +308,8 @@ def compute_table_name(row):
NOTE: This job name template does not have backwards compatibility guarantees.
"""
BQ_JOB_NAME_TEMPLATE = "beam_bq_job_{job_type}_{job_id}_{step_id}{random}"
+"""The number of shards per destination when writing via streaming inserts."""
+DEFAULT_SHARDS_PER_DESTINATION = 500
Review comment:
we've been able to reach ~1k EPS per worker in Python. If we have 50
shards, we'll only reach ~50k maximum. I'd like to have a larger default, so we
don't automatically cap EPS at a very low rate.
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