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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). ------------- Created by MOE: https://github.com/google/moe MOE_MIGRATED_REVID=162747692
32 lines
1.3 KiB
SQL
32 lines
1.3 KiB
SQL
-- 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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-- Query for all registrar statuses:
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-- production, ramping up (OTE), or pre-ramp-up (requested).
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SELECT
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-- Applies to all TLDs, hence the 'null' magic value.
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STRING(NULL) AS tld,
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CASE WHEN access_type = 'PROD' AND registrar_name IS NOT NULL
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THEN 'operational-registrars'
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WHEN access_type = 'OTE' AND registrar_name IS NOT NULL
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THEN 'ramp-up-registrars'
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WHEN access_type IS NULL AND registrar_name IS NOT NULL
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THEN 'pre-ramp-up-registrars'
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-- The import process is imprecise; filter out invalid rows.
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ELSE 'not-applicable' END AS metricName,
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COUNT(registrar_id) AS count
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FROM
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`%PROJECT_ID%.%REGISTRAR_DATA_SET%.%REGISTRAR_STATUS_TABLE%`
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GROUP BY metricName
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