google-nomulus/java/google/registry/reporting/sql/epp_metrics.sql
larryruili 38abe9fa48 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.

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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=165391715
2017-08-29 16:22:27 -04:00

58 lines
2.2 KiB
SQL

#standardSQL
-- Copyright 2017 The Nomulus Authors. All Rights Reserved.
--
-- Licensed under the Apache License, Version 2.0 (the "License");
-- you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.
-- Query FlowReporter JSON log messages and calculate SRS metrics.
-- We use ugly regex's over the monthly appengine logs to determine how many
-- EPP requests we received for each command. For example:
-- {"commandType":"check"...,"targetIds":["ais.a.how"],
-- "tld":"","tlds":["a.how"],"icannActivityReportField":"srs-dom-check"}
SELECT
-- Remove quotation marks from tld fields.
REGEXP_EXTRACT(tld, '^"(.*)"$') AS tld,
activityReportField AS metricName,
COUNT(*) AS count
FROM (
SELECT
-- TODO(b/32486667): Replace with JSON.parse() UDF when available for views
SPLIT(
REGEXP_EXTRACT(JSON_EXTRACT(json, '$.tlds'), r'^\[(.*)\]$')) AS tlds,
JSON_EXTRACT_SCALAR(json,
'$.resourceType') AS resourceType,
JSON_EXTRACT_SCALAR(json,
'$.icannActivityReportField') AS activityReportField
FROM (
SELECT
-- Extract the logged JSON payload.
REGEXP_EXTRACT(logMessage, r'FLOW-LOG-SIGNATURE-METADATA: (.*)\n?$')
AS json
FROM `%PROJECT_ID%.%ICANN_REPORTING_DATA_SET%.%MONTHLY_LOGS_TABLE%` AS logs
JOIN
UNNEST(logs.logMessage) AS logMessage
WHERE
STARTS_WITH(logMessage, "%METADATA_LOG_PREFIX%"))) AS regexes
JOIN
-- Unnest the JSON-parsed tlds.
UNNEST(regexes.tlds) AS tld
-- Exclude cases that can't be tabulated correctly, where activityReportField
-- is null/empty, or TLD is null/empty despite being a domain flow.
WHERE
activityReportField != ''
AND (tld != '' OR resourceType != 'domain')
GROUP BY
tld, metricName
ORDER BY
tld, metricName