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7487639e62
Explicit transfer acks/nacks reverse the roles for transaction reporting tabulation- this adds a quick check to account for this going forward. ------------- Created by MOE: https://github.com/google/moe MOE_MIGRATED_REVID=199474444
85 lines
3.4 KiB
SQL
85 lines
3.4 KiB
SQL
#standardSQL
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-- Copyright 2017 The Nomulus Authors. All Rights Reserved.
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--
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-- Licensed under the Apache License, Version 2.0 (the "License");
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-- you may not use this file except in compliance with the License.
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-- You may obtain a copy of the License at
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--
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-- http://www.apache.org/licenses/LICENSE-2.0
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--
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-- Unless required by applicable law or agreed to in writing, software
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-- distributed under the License is distributed on an "AS IS" BASIS,
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-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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-- See the License for the specific language governing permissions and
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-- limitations under the License.
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-- Counts the number of mutating transactions each registrar made.
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-- We populate the fields through explicit logging of
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-- DomainTransactionRecords, which contain all necessary information for
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-- reporting (such as reporting time, report field, report amount, etc.
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-- A special note on transfers: we only record 'TRANSFER_SUCCESSFUL' or
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-- 'TRANSFER_NACKED', and we can infer the gaining and losing parties
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-- from the enclosing HistoryEntry's clientId and otherClientId
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-- respectively. This query templates the client ID, field for transfer
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-- success, field for transfer nacks and default field. This allows us to
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-- create one query for TRANSFER_GAINING and the other report fields,
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-- and one query for TRANSFER_LOSING fields from the same template.
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-- This outer select just converts the registrar's clientId to their name.
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SELECT
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tld,
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registrar_table.registrarName AS registrar_name,
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metricName,
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metricValue
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FROM (
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SELECT
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tld,
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clientId,
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CASE
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WHEN field = 'TRANSFER_SUCCESSFUL' THEN '%TRANSFER_SUCCESS_FIELD%'
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WHEN field = 'TRANSFER_NACKED' THEN '%TRANSFER_NACKED_FIELD%'
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ELSE %DEFAULT_FIELD%
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END AS metricName,
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SUM(amount) AS metricValue
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FROM (
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SELECT
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CASE
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-- Explicit transfer acks (approve) and nacks (reject) are done
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-- by the opposing registrar. Thus, for these specific actions,
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-- we swap the 'otherClientId' with the 'clientId' to properly
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-- account for this reversal.
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WHEN (entries.type = 'DOMAIN_TRANSFER_APPROVE'
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OR entries.type = 'DOMAIN_TRANSFER_REJECT')
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THEN entries.%OTHER_CLIENT_ID%
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ELSE entries.%CLIENT_ID%
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END AS clientId,
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entries.domainTransactionRecords.tld[SAFE_OFFSET(index)] AS tld,
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entries.domainTransactionRecords.reportingTime[SAFE_OFFSET(index)]
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AS reportingTime,
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entries.domainTransactionRecords.reportField[SAFE_OFFSET(index)]
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AS field,
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entries.domainTransactionRecords.reportAmount[SAFE_OFFSET(index)]
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AS amount
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FROM
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`%PROJECT_ID%.%DATASTORE_EXPORT_DATA_SET%.%HISTORYENTRY_TABLE%`
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AS entries,
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-- This allows us to 'loop' through the arrays in parallel by index
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UNNEST(GENERATE_ARRAY(0, ARRAY_LENGTH(
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entries.domainTransactionRecords.tld) - 1)) AS index
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-- Ignore null entries
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WHERE entries.domainTransactionRecords IS NOT NULL )
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-- Only look at this month's data
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WHERE reportingTime
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BETWEEN TIMESTAMP('%EARLIEST_REPORT_TIME%')
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AND TIMESTAMP('%LATEST_REPORT_TIME%')
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GROUP BY
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tld,
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clientId,
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field ) AS counts_table
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JOIN
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`%PROJECT_ID%.%DATASTORE_EXPORT_DATA_SET%.%REGISTRAR_TABLE%`
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AS registrar_table
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ON
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counts_table.clientId = registrar_table.__key__.name
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