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cwv_by_shopify_theme
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‎definitions/output/reports/report_cwv_by_shopify_theme.js‎

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const pastMonth = constants.fnPastMonth(constants.currentMonth)
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publish('cwv_by_shopify_theme', {
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schema: 'reports',
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type: 'table',
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tags: ['crux_ready']
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}).preOps(`
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CREATE TEMP FUNCTION IS_GOOD(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
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good / (good + needs_improvement + poor) >= 0.75
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);
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CREATE TEMP FUNCTION IS_POOR(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
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poor / (good + needs_improvement + poor) > 0.25
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);
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CREATE TEMP FUNCTION IS_NON_ZERO(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
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good + needs_improvement + poor > 0
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);
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`).query(ctx => `
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WITH archive_pages AS (
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-- All Shopify shops in HTTPArchive
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SELECT
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client,
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page AS url,
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JSON_VALUE(custom_metrics.ecommerce.Shopify.theme.name) AS theme_name,
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JSON_VALUE(custom_metrics.ecommerce.Shopify.theme.theme_store_id) AS theme_store_id
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FROM ${ctx.ref('crawl', 'pages')}
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WHERE
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date = '${pastMonth}' ${constants.devRankFilter} AND
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is_root_page AND
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JSON_VALUE(custom_metrics.ecommerce.Shopify.theme.name) IS NOT NULL --first grab all shops for market share
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)
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SELECT
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client,
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archive_pages.theme_store_id AS id,
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theme_names.theme_name AS top_theme_name,
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COUNT(DISTINCT origin) AS origins,
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-- Origins with good LCP divided by origins with any LCP.
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_GOOD(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL))
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) AS pct_good_lcp,
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-- Origins with needs improvement are anything not good, nor poor.
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1 -
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_GOOD(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL))
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)
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-
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_POOR(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL)))
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AS pct_ni_lcp,
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-- Origins with poor LCP divided by origins with any LCP.
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_POOR(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL))
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) AS pct_poor_lcp,
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-- Origins with good TTFB divided by origins with any TTFB.
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_GOOD(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL))
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) AS pct_good_ttfb,
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-- Origins with needs improvement are anything not good, nor poor.
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1 -
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_GOOD(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL))
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)
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-
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_POOR(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL)))
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AS pct_ni_ttfb,
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-- Origins with poor TTFB divided by origins with any TTFB.
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_POOR(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL))
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) AS pct_poor_ttfb,
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-- Origins with good FCP divided by origins with any FCP.
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_GOOD(fast_fcp, avg_fcp, slow_fcp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_fcp, avg_fcp, slow_fcp), origin, NULL))
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) AS pct_good_fcp,
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-- Origins with needs improvement are anything not good, nor poor.
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1 -
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_GOOD(fast_fcp, avg_fcp, slow_fcp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_fcp, avg_fcp, slow_fcp), origin, NULL))
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)
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-
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_POOR(fast_fcp, avg_fcp, slow_fcp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_fcp, avg_fcp, slow_fcp), origin, NULL)))
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AS pct_ni_fcp,
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-- Origins with poor FCP divided by origins with any FCP.
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_POOR(fast_fcp, avg_fcp, slow_fcp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_fcp, avg_fcp, slow_fcp), origin, NULL))
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) AS pct_poor_fcp,
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-- Origins with good INP divided by origins with any INP.
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_GOOD(fast_inp, avg_inp, slow_inp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL))
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) AS pct_good_inp,
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-- Origins with needs improvement are anything not good, nor poor.
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1 -
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_GOOD(fast_inp, avg_inp, slow_inp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL))
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)
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-
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_POOR(fast_inp, avg_inp, slow_inp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL)))
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AS pct_ni_inp,
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-- Origins with poor INP divided by origins with any INP.
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_POOR(fast_inp, avg_inp, slow_inp), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL))
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) AS pct_poor_inp,
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-- Origins with good CLS divided by origins with any CLS.
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))
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) AS pct_good_cls,
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-- Origins with needs improvement are anything not good, nor poor.
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1 -
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))
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)
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-
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_POOR(small_cls, medium_cls, large_cls), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL)))
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AS pct_ni_cls,
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-- Origins with poor CLS divided by origins with any CLS.
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(IS_POOR(small_cls, medium_cls, large_cls), origin, NULL)),
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COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))
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) AS pct_poor_cls,
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-- Origins with good LCP, INP (optional), and CLS divided by origins with any LCP and CLS.
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SAFE_DIVIDE(
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COUNT(DISTINCT IF(
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IS_GOOD(fast_lcp, avg_lcp, slow_lcp) AND
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IS_GOOD(fast_inp, avg_inp, slow_inp) IS NOT FALSE AND
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IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL
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)),
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COUNT(DISTINCT IF(
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IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp) AND
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IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL
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))
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) AS pct_good_cwv
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FROM ${ctx.ref('chrome-ux-report', 'materialized', 'device_summary')}
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JOIN archive_pages
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ON
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CONCAT(origin, '/') = url AND
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IF(device = 'desktop', 'desktop', 'mobile') = client
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JOIN (
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-- Add in top theme name for a theme store id AS this should usually be the real theme name
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SELECT
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COUNT(DISTINCT url) AS pages_count,
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theme_store_id,
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theme_name,
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row_number() OVER (PARTITION BY theme_store_id ORDER BY COUNT(DISTINCT url) DESC) AS rank
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FROM archive_pages
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GROUP BY
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theme_store_id,
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theme_name
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ORDER BY COUNT(DISTINCT url) DESC
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) theme_names
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-- Include null theme store ids so that we can get full market share within CrUX
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ON IFNULL(theme_names.theme_store_id, 'N/A') = IFNULL(archive_pages.theme_store_id, 'N/A')
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WHERE
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date = '${pastMonth}' AND
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theme_names.rank = 1
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GROUP BY
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client,
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id,
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top_theme_name
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ORDER BY
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origins DESC
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`).postOps(ctx => `
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SELECT
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reports.run_export_job(
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JSON '''{
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"destination": "storage",
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"config": {
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"bucket": "${constants.bucket}",
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"name": "httparchive/reports/${pastMonth.replaceAll('-', '_')}/cruxShopifyThemes.json"
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},
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"query": "SELECT * FROM ${ctx.self()}"
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}'''
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);
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`)

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