We only log FLOW-LOG-SIGNATURE-METADATA from one place- FlowRunner. As a
result, we can swap the generalized regex for a prefix-only regex, saving a
<strong>lot</strong> of processing for our epp query (which is the most
expensive of the bunch).
I've also changed the test dates from 2017-05 to 2017-06, allowing us to copy-paste
the test data into Bigquery to verify their function. The reason for 2017-06 in particular is because June was the first month that populated all the metadata necessary to generate these reports.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=165391715
This adds Bigquery API client code to generate the activity reports from our
now standardSQL queries. The naming mirrors that of RDE (Staging generates the
reports and uploads them to GCS).
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=164656344
This also brings the SQL template parameters in-line with the anticipated Bigquery dataset format, and switches from DateTime to the more appropriate LocalDate (since we only need monthly granularity).
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=162747692
This allows us to have a modular view of all tables used in activity reporting, to facilitate generating reports in BigQuery.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=161849007
