WebAssembly 2025 queries updates for counts and page ranking (#4328)

* For WebAssembly Report 2025, Updated all the queries from year (2021 & 2022) to the new schema where applicable.

Added query for wasm usage counts by pages and by distinct wasm's names
(counts.sql & counts_distinct_name.sql)

Added query for various compression methods (compression_methods.sql)

Added query for wasm component usage for domains and cross domains (domains.sql & cross_domain.sql)

Added query for various instruction kinds (instruction_kinds.sql)

Added query for various languages usage in wasm (language_usage.sql)

Added query for various mimeType usage in wasm (mime_types.sql)

Added query for page rankings (page_rankings.sql)

Added query to understand usages by size
(module_sizes.sql, section_sizes.sql, large_custom_sections.sql and total_sizes_by_percentile.sql)
Info : Drop statustics for size_total_br, size_total_strip, size_total_strip_br, size_total_opt, size_total_opt_br, br_savings, strip_br_savings, opt_br_savings and opt_savings because of dataset has null values.

Added query for wasm proposals.sql.

Added query to understand popular wasm libraries in use.
(popular_library_by_name.sql)

All the queries are grouped by clients i.e. desktop and mobile.

* Update sql/2025/webassembly/page_rankings.sql

extended extra category

Co-authored-by: Barry Pollard <barrypollard@google.com>

* Updated query with date '2025-07-01', Removed test folder and Simplified json values without $

* rephrased query for compression methods by clients.

* Refactor wasm count query

* Update sql/2025/webassembly/page_rankings.sql

Co-authored-by: Barry Pollard <barrypollard@google.com>

* Added new line for code lint pipeline and rephrased queries

* Apply suggestion from @tunetheweb

* Apply suggestion from @tunetheweb

* Apply suggestion from @tunetheweb

* Apply suggestion from @tunetheweb

* Apply suggestion from @tunetheweb

* Apply suggestion from @tunetheweb

* Update sql/2025/webassembly/instruction_kinds.sql

* Update SQL query for distinct wasm origin count

* Refactor SQL query for page rankings with cleaner syntax

prefer to use rank_grouping instead of _rank

* Lint

---------

Co-authored-by: Barry Pollard <barrypollard@google.com>

Author: nimeshgit

sql/2025/webassembly/counts.sql

@@ -1,16 +1,17 @@
-# Query for wasm requests' count with distinct wasm name
+# Query for wasm requests' count with distinct wasm origin name
 
 WITH wasmRequests AS (
   SELECT
     client,
+    page,
     CASE
       WHEN REGEXP_CONTAINS(url, r'/(hyphenopoly|patterns).*/[a-z-]{2,5}\.wasm')
         THEN '(hyphenopoly dictionary)'
       WHEN ENDS_WITH(url, '.unityweb')
         THEN '(unityweb app)'
       ELSE
         REGEXP_REPLACE(
-          REGEXP_EXTRACT(LOWER(url), r'.*/([^./?]*)'), -- lowercase & extract filename between last `/` and `.` or `?`
+          REGEXP_EXTRACT(LOWER(url), r'./([^./?])'), -- lowercase & extract filename between last `/` and `.` or `?`
           r'-[0-9a-f]{20,32}$', -- trim trailing hashes to transform `name-0abc43234[...]` to `name`
           ''
         )
@@ -25,7 +26,7 @@ WITH wasmRequests AS (
 SELECT
   client,
   COUNT(0) AS total_wasm,
-  COUNT(DISTINCT name) AS total_distinct_wasm
+  COUNT(DISTINCT NET.REG_DOMAIN(page)) AS distinct_origin
 FROM
   wasmRequests
 GROUP BY

sql/2025/webassembly/page_rankings.sql

@@ -1,22 +1,21 @@
-# Query to get count of pages which use wasm at page ranking intervals.
-
 SELECT
   client,
-  _rank AS rank_grouping,
+  rank_grouping,
   CASE
-    WHEN _rank = 100000000 THEN 'all'
-    ELSE CAST(_rank AS STRING)
+    WHEN rank_grouping = 100000000 THEN 'all'
+    ELSE CAST(rank_grouping AS STRING)
   END AS ranking,
   COUNT(DISTINCT page) AS pages
 FROM
   `httparchive.crawl.requests`,
-  UNNEST([1000, 10000, 100000, 1000000, 10000000, 100000000]) AS _rank
+  UNNEST([1000, 10000, 100000, 1000000, 10000000, 100000000]) AS rank_grouping
 WHERE
   date = '2025-07-01' AND
   type = 'wasm' AND
-  rank <= _rank
+  rank <= rank_grouping
 GROUP BY
   client,
-  rank
+  rank_grouping
 ORDER BY
-  rank
+  client,
+  rank_grouping