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nrllhmgiffordkevinfarrugiatunetheweb
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CMS 2024 queries (#3731)
* Queries of CMS 2024 (replicated from 2022's version) * Update cms_adoption_by_geo.sql * Update cms_adoption_by_rank.sql * Update cms_adoption_by_region.sql * Update cms_adoption_by_subregion.sql * Update cms_adoption.sql * Update core_web_vitals_by_geo.sql * Update core_web_vitals_by_geo.sql * Update core_web_vitals_yoy.sql * Update core_web_vitals_yoy.sql * Update core_web_vitals_yoy.sql * Update image_format_popularity.sql * Update image_format_popularity.sql * Update lighthouse_category_scores_per_cms.sql * Update page_weight_distribution.sql * Update page_weight_distribution.sql Fixing linter issues. * Update page_weight_distribution.sql Fixing linting. * Update cms_adoption_by_geo.sql Fixing the linter errors. * Update cms_adoption_by_subregion.sql Linter errors * Update core_web_vitals_yoy.sql Fixing linter errors. * Update lighthouse_category_scores_per_cms.sql Fixing linter errors. * Update page_weight_distribution.sql removing white space. * Update cms_adoption.sql Fixing linting issues. * Update cms_adoption_by_geo.sql Fixing linting issues. * Update cms_adoption_by_rank.sql Fixing linting issues. * Update cms_adoption_by_region.sql Conforming with linter. * Update cms_adoption_by_subregion.sql Fixing linter errors * Update core_web_vitals_by_geo.sql Linting errors. * Update core_web_vitals_yoy.sql Fixing linting * Update image_format_popularity.sql Fixing linting * Update lighthouse_category_scores_per_cms.sql Updating for linting. * Update lighthouse_category_scores_per_cms.sql Linting... * Update image_format_popularity.sql Linting issues. * Update core_web_vitals_yoy.sql Linting * Update cms_adoption_by_subregion.sql Linting * Update cms_adoption_by_region.sql Linting * Update cms_adoption_by_geo.sql Linting * Update cms_adoption_by_subregion.sql Fixing whitespace issue * Update cms_adoption_by_rank.sql Whitespace * Update cms_adoption_by_geo.sql Spacing * Update lighthouse_category_scores_per_cms.sql spacing * Update image_format_popularity.sql Linting * Update cms_adoption_by_subregion.sql Linting.. * Update cms_adoption_by_region.sql Linting * Update cms_adoption_by_rank.sql spaces * Update cms_adoption_by_geo.sql Spaces * Update cms_adoption_by_region.sql Indenting spaces * Update core_web_vitals_yoy.sql Fixing Alias * Update resource_weights.sql * Update top_cms.sql * Update top_cms_by_geo.sql * Update top_cms_by_geo.sql * Update resource_weights.sql * Update top_cms_by_rank.sql * Update wordpress_page_builders.sql * Update wordpress_resources.sql * Update cms_adoption.sql * Update cms_adoption_by_geo.sql * Update cms_adoption_by_rank.sql * Update cms_adoption_by_region.sql * Update cms_adoption_by_subregion.sql * Update core_web_vitals_by_geo.sql * Update core_web_vitals_yoy.sql * Update core_web_vitals.sql * Update image_format_popularity.sql * Update lighthouse_category_scores_per_cms.sql * Update top_cms.sql * Update top_cms_by_geo.sql * Update top_cms_by_rank.sql * Update wordpress_page_builders.sql * Update wordpress_page_builders.sql * Fixed linting issues * Fixed linting issues * Added query for lighthouse scores per CMS YoY * Update sql/2024/cms/cms_adoption_by_rank.sql Co-authored-by: Barry Pollard <barrypollard@google.com> * Update sql/2024/cms/top_cms_by_rank.sql Co-authored-by: Barry Pollard <barrypollard@google.com> * Removed redundant query cms_adoption_by_rank.sql --------- Co-authored-by: Mike Gifford <mike.gifford@civicactions.com> Co-authored-by: Kevin Farrugia <hello@imkev.dev> Co-authored-by: Kevin Farrugia <kevinfarrugia@users.noreply.github.com> Co-authored-by: Barry Pollard <barrypollard@google.com>
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‎sql/2024/cms/cms_adoption.sql‎

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#standardSQL
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# CMS adoption OVER time
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# cms_adoption.sql
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SELECT
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client,
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2024 AS year,
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COUNT(DISTINCT page) AS freq,
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total,
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COUNT(DISTINCT page) / total AS pct
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FROM
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`httparchive.all.pages`,
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UNNEST(technologies) AS technologies,
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UNNEST(technologies.categories) AS cats
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JOIN (
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SELECT
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client,
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COUNT(0) AS total
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FROM
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`httparchive.all.pages`
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WHERE
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date = '2024-06-01' AND
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is_root_page
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GROUP BY
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client)
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USING
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(client)
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WHERE
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cats = 'CMS' AND
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date = '2024-06-01' AND
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is_root_page
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GROUP BY
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client,
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total
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UNION ALL
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SELECT
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client,
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2023 AS year,
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COUNT(DISTINCT page) AS freq,
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total,
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COUNT(DISTINCT page) / total AS pct
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FROM
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`httparchive.all.pages`,
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UNNEST(technologies) AS technologies,
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UNNEST(technologies.categories) AS cats
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JOIN (
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SELECT
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client,
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COUNT(0) AS total
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FROM
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`httparchive.all.pages`
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WHERE
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date = '2023-06-01' AND
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is_root_page
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GROUP BY
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client)
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USING
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(client)
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WHERE
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cats = 'CMS' AND
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date = '2023-06-01' AND
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is_root_page
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GROUP BY
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client,
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total
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UNION ALL
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SELECT
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client,
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2022 AS year,
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COUNT(DISTINCT page) AS freq,
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total,
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COUNT(DISTINCT page) / total AS pct
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FROM
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`httparchive.all.pages`,
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UNNEST(technologies) AS technologies,
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UNNEST(technologies.categories) AS cats
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JOIN (
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SELECT
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client,
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COUNT(0) AS total
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FROM
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`httparchive.all.pages`
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WHERE
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date = '2022-06-01' AND
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is_root_page
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GROUP BY
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client)
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USING
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(client)
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WHERE
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cats = 'CMS' AND
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date = '2022-06-01' AND
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is_root_page
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GROUP BY
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client,
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total
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ORDER BY
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year DESC,
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pct DESC

‎sql/2024/cms/cms_adoption_by_geo.sql‎

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#standardSQL
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# All CMS popularity per geo
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# cms_adoption_by_geo.sql
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WITH geo_summary AS (
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SELECT
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`chrome-ux-report`.experimental.GET_COUNTRY(country_code) AS geo,
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IF(device = 'desktop', 'desktop', 'mobile') AS client,
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origin,
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COUNT(DISTINCT origin) OVER (PARTITION BY country_code, IF(device = 'desktop', 'desktop', 'mobile')) AS total
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FROM
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`chrome-ux-report.materialized.country_summary`
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WHERE
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yyyymm = 202406
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)
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SELECT
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*
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FROM (
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SELECT
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client,
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geo,
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COUNT(0) AS pages,
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ANY_VALUE(total) AS total,
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COUNT(0) / ANY_VALUE(total) AS pct
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FROM (
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SELECT DISTINCT
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geo,
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client,
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total,
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CONCAT(origin, '/') AS page
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FROM
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geo_summary
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)
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JOIN (
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SELECT
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client,
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page
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FROM
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`httparchive.all.pages`,
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UNNEST(technologies) AS technologies,
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UNNEST(technologies.categories) AS cats
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WHERE
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date = '2024-06-01' AND
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cats = 'CMS' AND
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is_root_page
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)
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USING
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(client,
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page)
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GROUP BY
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client,
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geo)
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WHERE
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pages > 1000
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ORDER BY
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pages DESC

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