denar90 ( Artem Denysov )

@rviscomi can you have one more look?

denar90

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commit sha 12e59baed2457be4e90d100cc49c80945f93d61b

add image adoption queries

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commit sha a927768ead01f56b190b93eca81697495661f8f2

Fix namings

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commit sha 4444b47471d806accabd08b98a324a8fbbd73979

Add CO2, image adoption, LH median results

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commit sha c4fed39a552f61ab7dd3210386898d5fa31e782c

Unitize ssg adoption query yoy

commit sha 32ac677de8b27d2895fd4a521d1769f7708c99c5

Use firstHtml for summary_requests, adjust readme

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Pull request review commentHTTPArchive/almanac.httparchive.org

+#standardSQL+# Core Web Vitals distribution by CDN+#+# Note that this is an unweighted average of all sites per SSG.+# Performance of sites with millions of visitors as weighted the same as small sites.+SELECT+  client,+  CDN,+  COUNT(DISTINCT origin) AS origins,+  SUM(fast_lcp) / (SUM(fast_lcp) + SUM(avg_lcp) + SUM(slow_lcp)) AS good_lcp,+  SUM(avg_lcp) / (SUM(fast_lcp) + SUM(avg_lcp) + SUM(slow_lcp)) AS ni_lcp,+  SUM(slow_lcp) / (SUM(fast_lcp) + SUM(avg_lcp) + SUM(slow_lcp)) AS poor_lcp,++  SUM(fast_fid) / (SUM(fast_fid) + SUM(avg_fid) + SUM(slow_fid)) AS good_fid,+  SUM(avg_fid) / (SUM(fast_fid) + SUM(avg_fid) + SUM(slow_fid)) AS ni_fid,+  SUM(slow_fid) / (SUM(fast_fid) + SUM(avg_fid) + SUM(slow_fid)) AS poor_fid,++  SUM(small_cls) / (SUM(small_cls) + SUM(medium_cls) + SUM(large_cls)) AS good_cls,+  SUM(medium_cls) / (SUM(small_cls) + SUM(medium_cls) + SUM(large_cls)) AS ni_cls,+  SUM(large_cls) / (SUM(small_cls) + SUM(medium_cls) + SUM(large_cls)) AS poor_cls,+FROM+  `chrome-ux-report.materialized.device_summary`+JOIN (+    SELECT+      CASE+        WHEN REGEXP_EXTRACT(LOWER(CONCAT(respOtherHeaders, resp_x_powered_by, resp_via, resp_server)), '(x-github-request)') = 'x-github-request' THEN 'GitHub'+        WHEN REGEXP_EXTRACT(LOWER(CONCAT(respOtherHeaders, resp_x_powered_by, resp_via, resp_server)), '(netlify)') = 'netlify' THEN 'Netlify'+        WHEN _cdn_provider = 'Microsoft Azure' THEN 'Azure'+        WHEN _cdn_provider = 'Vercel' THEN 'Vercel'+        WHEN _cdn_provider = 'Amazon CloudFront' THEN 'AWS'+        WHEN _cdn_provider = 'Akamai' THEN 'Akamai'+        WHEN _cdn_provider = 'Cloudflare' THEN 'Cloudflare'+        ELSE NULL+      END AS CDN,+      _TABLE_SUFFIX as client,+      url,+      app+    FROM+      `httparchive.summary_requests.2020_08_01_*`

👍

denar90

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PullRequestReviewEvent

commit sha dbe7ab3a6c4093b427ac299f7c1e60838cd21d82

Update sql/2020/17_JAMstack/cdn_core_web_vitals_distribution.sql Co-authored-by: Rick Viscomi <[email protected]>

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commit sha 84c2751a3de7e82c887b70228f55ad909f35dc5f

Update sql/2020/17_JAMstack/cdn_core_web_vitals_distribution.sql Co-authored-by: Rick Viscomi <[email protected]>

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commit sha e88238963de62fb05bcf6ed2fb5c04d722528dde

Add more queries

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commit sha 32a022e5d3ef1cbb89ce260c1bddbd5417de7695

Improve CWV passing, add ssg adoption comparing to 2019

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pull request commentHTTPArchive/almanac.httparchive.org

@ahmadawais @remotesynth I'm fine having some disclaimer/explanation about Next.js.

I totally reworked queries. Now they includes all SSGs (+ Next.js). Also now we have

core_web_vitals_distribution.sql
core_web_vitals_passing.sql
third_party_bytes_and_requests_on_ssgs.sql

Also started working on GSheet and planning to have queries similar to https://github.com/HTTPArchive/almanac.httparchive.org/pull/1087

denar90

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commit sha 4bef195de0b0863f79c58a64fc8660883df8e4b4

Rename third party bytes

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commit sha f2f785c77d7504b97ee01cdab9533d6fc564a234

Add CWV distribution, thirdparty requests

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commit sha 57afea32854088573f8d1efee6536b2b2a66f783

Add CWV for SSG

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startedgoogle/eleventy-high-performance-blog

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Pull request review commentHTTPArchive/almanac.httparchive.org

CMS 2020 queries

+#standardSQL+# Core Web Vitals performance by CMS+CREATE TEMP FUNCTION IS_GOOD (good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (+  good / (good + needs_improvement + poor) >= 0.75+);++CREATE TEMP FUNCTION IS_NON_ZERO (good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (+  good + needs_improvement + poor > 0+);+++SELECT+  client,+  cms,+  COUNT(DISTINCT origin) AS origins,+  # Origins with good LCP divided by origins with any LCP.+  SAFE_DIVIDE(+    COUNT(DISTINCT IF(IS_GOOD(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),+    COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL))) AS pct_good_lcp,++  # Origins with good FID divided by origins with any FID.+  SAFE_DIVIDE(+    COUNT(DISTINCT IF(IS_GOOD(fast_fid, avg_fid, slow_fid), origin, NULL)),+    COUNT(DISTINCT IF(IS_NON_ZERO(fast_fid, avg_fid, slow_fid), origin, NULL))) AS pct_good_fid,++  # Origins with good CLS divided by origins with any CLS.+  SAFE_DIVIDE(+    COUNT(DISTINCT IF(IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)),+    COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))) AS pct_good_cls,++  # Origins with good LCP, FID, and CLS dividied by origins with any LCP, FID, and CLS.+  SAFE_DIVIDE(+    COUNT(DISTINCT IF(+      IS_GOOD(fast_lcp, avg_lcp, slow_lcp) AND+      IS_GOOD(fast_fid, avg_fid, slow_fid) AND+      IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)),+    COUNT(DISTINCT IF(+      IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp) AND+      IS_NON_ZERO(fast_fid, avg_fid, slow_fid) AND+      IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))) AS pct_good_cwv+FROM+  `chrome-ux-report.materialized.device_summary`+JOIN (+  SELECT+    _TABLE_SUFFIX AS client,+    url,+    app AS cms+  FROM+    `httparchive.technologies.2019_08_01_*`

    `httparchive.technologies.2020_08_01_*`

rviscomi

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Pull request review commentHTTPArchive/almanac.httparchive.org

CMS 2020 queries

+#standardSQL+# Core Web Vitals distribution by CMS+#+# Note that this is an unweighted average of all sites per CMS.+# Performance of sites with millions of visitors as weighted the same as small sites.+SELECT+  client,+  cms,+  COUNT(DISTINCT origin) AS origins,++  SUM(fast_lcp) / (SUM(fast_lcp) + SUM(avg_lcp) + SUM(slow_lcp)) AS good_lcp,+  SUM(avg_lcp) / (SUM(fast_lcp) + SUM(avg_lcp) + SUM(slow_lcp)) AS ni_lcp,+  SUM(slow_lcp) / (SUM(fast_lcp) + SUM(avg_lcp) + SUM(slow_lcp)) AS poor_lcp,++  SUM(fast_fid) / (SUM(fast_fid) + SUM(avg_fid) + SUM(slow_fid)) AS good_fid,+  SUM(avg_fid) / (SUM(fast_fid) + SUM(avg_fid) + SUM(slow_fid)) AS ni_fid,+  SUM(slow_fid) / (SUM(fast_fid) + SUM(avg_fid) + SUM(slow_fid)) AS poor_fid,++  SUM(small_cls) / (SUM(small_cls) + SUM(medium_cls) + SUM(large_cls)) AS good_cls,+  SUM(medium_cls) / (SUM(small_cls) + SUM(medium_cls) + SUM(large_cls)) AS ni_cls,+  SUM(large_cls) / (SUM(small_cls) + SUM(medium_cls) + SUM(large_cls)) AS poor_cls,+FROM+  `chrome-ux-report.materialized.device_summary`+JOIN (+  SELECT+    _TABLE_SUFFIX AS client,+    url,+    app AS cms+  FROM+    `httparchive.technologies.2019_08_01_*`

    `httparchive.technologies.2020_08_01_*`

rviscomi

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Pull request review commentHTTPArchive/almanac.httparchive.org

CMS 2020 queries

+#standardSQL+  # CMS adoptions, compared to 2019+SELECT+  _TABLE_SUFFIX AS client,+  2020 AS year,+  COUNT(0) AS freq,+  total,+  COUNT(0) / total AS pct+FROM+  `httparchive.technologies.2020_08_01_*`+JOIN (+  SELECT+    _TABLE_SUFFIX,+    COUNT(0) AS total+  FROM+    `httparchive.summary_pages.2020_08_01_*`+  GROUP BY+    _TABLE_SUFFIX)+USING+  (_TABLE_SUFFIX)+WHERE+  category = 'CMS'+GROUP BY+  client,+  total+UNION ALL+SELECT+  _TABLE_SUFFIX AS client,+  2019 AS year,+  COUNT(0) AS freq,+  total,+  COUNT(0) / total AS pct+FROM+  `httparchive.technologies.2019_07_01_*`

  `httparchive.technologies.2020_07_01_*`

rviscomi

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pull request commentHTTPArchive/almanac.httparchive.org

Totally agree. In other hand we can provide readers with wrong data, because users can use Next.js differently (like SSR or just SPA). Having no distinguish for that will lead to corrupted data. Maybe we can put "message" to Next.js team, so they can provide some indication for type of Next.js usage. Next year we will be able to include it and be 100% confident in data.

denar90

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pull request commentHTTPArchive/almanac.httparchive.org

@ahmadawais, yup, we didn't include Next.js due to research - https://github.com/HTTPArchive/almanac.httparchive.org/issues/878#issuecomment-666200665

denar90

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Jamstack 2020

Cool, thanks for the clarifications 👍

rviscomi

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Jamstack 2020

@ahmadawais I've attached google sheets into PR with TTFB results, so you can start exploring. Hope to finish other queries pretty soon.

rviscomi

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commit sha 220e480b5c5705ce3c7c3b6ca837dfdbff4af7c9

Update cdn_ttfb.sql

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branch : jamstack-sql-2020

Jamstack 2020

@abraham, wip is here - https://github.com/HTTPArchive/almanac.httparchive.org/pull/1228 I need to figure out how to join and have desktop and mobile results together. If it's solved - super easy to run other queries for other metrics, kinda the same but changing metrics names. I think we can finish it up this week.

rviscomi

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startedchernivtsijs/made-in-ukraine

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PR opened HTTPArchive/almanac.httparchive.org

Jamstack 2020 queries

[x] Time to first bit distribution. 95% finished, fix getting desktop and mobile data
[ ] First contentful paint distribution
[ ] Largest contentful paint distribution
[ ] Cumulative layout shift distribution

+50 -0

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delete branch : jasmtack-sql-2020

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branch : jasmtack-sql-2020

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pull request commentstoyan/perfplanet

Add Artem's and Treo feed

Hey @stoyan, sorry for waisting your time, I completely lost that PR...

denar90

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@ahmadawais I have early query and clarified missing parts, e.g. querying CDN like Azure and stuff, I'll prepare PR's till the end of the week.

rviscomi

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startedGoogleChromeLabs/AutoWebPerf

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startedigrigorik/shopify-core-web-vitals

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starteddenar90/webhook-action

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startedGoogleChromeLabs/comlink-loader

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@ahmadawais yeah, I've been thinking composing SSG and CDN. Will start on it asap, this week is quiet busy...

rviscomi

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@phacks Next.js as well otherwise we will present wrong results.

Me: "Do you distinguish Next.js rendered via SSR vs app fully rendered on client side?" Wappalyzer: No distinction currently.

source: https://twitter.com/denar90_/status/1287271002041470976

rviscomi

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startedGoogleChromeLabs/perf-track

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@ahmadawais I'm not sure we can prepare all sql until 27th. We still have open questions. I'm not sure where do we have to discuss here, or in doc. I'll leave it here, we can move it if needed.

Netlify v Vercel v Amplify are hosting platforms for any kind of sites. So we will have to select by header and engine. So as @remotesynth mentioned there might be difficulties to detect if site has SSR or not. @rauchg does Vercel have any headers or any other info when hosting the Jamstack site?
List of engines we want to cover. My list would be

Nextjs
11ty
Hugo
Jekyll
Gatsby

CMS platforms

Sanity
Contentful
NetlifyCMS
etc..

Platforms to create Jamstack sites. If we can grab data and distribute it to see how fast sites are created via these platforms.

I'm pretty sure we can't combine all items together. So let's try to group them and show distributions like @tpiros suggested.

rviscomi

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@tpiros do you mean hosted CMSs like Contentful (API based) and self-deployed like Netlify-CMS (git based) ?

rviscomi

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JavaScript 2020

@rviscomi @tkadlec will be happy to review :)

obto

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Hey @ahmadawais @rviscomi I'm a bit late for the party but will be happy to contribute more as reviewer and analyst. Moreover, do you have open spot for co-authoring? I'd suggest @remotesynth for that role. He has awesome experience in Jamstack area, writing stuff etc.

rviscomi

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starteda11yproject/a11yproject.com

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