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Optimize activity report SQL
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. ------------- Created by MOE: https://github.com/google/moe MOE_MIGRATED_REVID=165391715
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10 changed files with 33 additions and 29 deletions
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@ -39,11 +39,11 @@ FROM (
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-- Extract the logged JSON payload.
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REGEXP_EXTRACT(logMessage, r'FLOW-LOG-SIGNATURE-METADATA: (.*)\n?$')
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AS json
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FROM `domain-registry-alpha.icann_reporting.monthly_logs_201705` AS logs
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FROM `domain-registry-alpha.icann_reporting.monthly_logs_201706` AS logs
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JOIN
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UNNEST(logs.logMessage) AS logMessage
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WHERE
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logMessage LIKE "%FLOW-LOG-SIGNATURE-METADATA%")) AS regexes
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STARTS_WITH(logMessage, "google.registry.flows.FlowReporter recordToLogs: FLOW-LOG-SIGNATURE-METADATA"))) AS regexes
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JOIN
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-- Unnest the JSON-parsed tlds.
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UNNEST(regexes.tlds) AS tld
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