deps(npm): bump the all group across 1 directory with 16 updates

[dependabot]

Bumps the all group with 16 updates in the / directory:

Package	From	To
@tailwindcss/vite	4.3.1	4.3.3
@typescript-eslint/eslint-plugin	8.61.1	8.67.0
@typescript-eslint/parser	8.61.1	8.67.0
@viz-js/viz	3.28.0	3.29.0
autoprefixer	10.5.0	10.5.4
eslint	10.5.0	10.8.1
eslint-plugin-vue	10.9.2	10.10.0
prettier	3.8.4	3.9.6
prettier-plugin-tailwindcss	0.8.0	0.8.1
sql-formatter	15.8.1	15.8.2
svgo	4.0.1	4.0.2
tailwindcss	4.3.1	4.3.3
typescript-eslint	8.61.1	8.67.0
vega	6.2.0	6.3.1
vue	3.5.38	3.5.41
vue-tsc	3.3.5	3.3.9

Updates @tailwindcss/vite from 4.3.1 to 4.3.3

Release notes

Sourced from @​tailwindcss/vite's releases.

v4.3.3

Fixed

• Support --watch --poll[=ms] in @tailwindcss/cli when filesystem events are unreliable or unavailable (#20297)
• Canonicalization: match arbitrary hex colors against theme colors case-insensitively (e.g. bg-[#fff] and bg-[#FFF] → bg-white) (#20298)
• Prevent Preflight from overriding Firefox's native iframe:focus-visible outline styles (#20292)
• Ensure theme('colors.foo') in JS plugins resolves correctly when both --color-foo and --color-foo-bar exist (#20299)
• Ensure fractional opacity modifiers work with named shadow sizes like shadow-sm/12.5, text-shadow-sm/12.5, drop-shadow-sm/12.5, and inset-shadow-sm/12.5 (#20302)
• Parse selectors like [data-foo]div as two selectors instead of one (#20303)
• Ensure @tailwindcss/postcss rebuilds when a preprocessor like Sass changes the input CSS without changing the input file on disk (#20310)
• Ensure CSS nesting is handled even when Lightning CSS isn't run, such as in @tailwindcss/browser and Tailwind Play (#20124)
• Prevent achromatic theme colors from shifting hue when mixed in polar color spaces like oklch (#20314)
• Ensure --spacing(0) is optimized to 0px instead of 0 so it remains a <length> when used in calc(…) (#20319)
• Load @parcel/watcher only when needed in @tailwindcss/cli --watch mode, so one-off builds and --watch --poll work when @parcel/watcher can't be loaded (#20325)
• Use explicit platform fonts instead of system-ui and ui-sans-serif so CJK text respects the page's lang attribute on Windows (#20318)
• Prevent @tailwindcss/upgrade from rewriting ignored files when run from a subdirectory (#20329)
• Ensure earlier @source rules pointing to nested files are scanned when later @source rules point to files in parent folders (#20335)
• Prevent @tailwindcss/vite from triggering full page reloads when scanned files are processed by Vite but haven't been loaded as modules yet (#20336)

v4.3.2

Fixed

• Support bare spacing values for auto-rows-* and auto-cols-* utilities (e.g. auto-rows-12 and auto-cols-16) (#20229)
• Prevent @tailwindcss/cli in --watch mode from crashing on Windows when @source points to a directory that doesn't exist (#20242)
• Prevent @tailwindcss/vite from crashing in Deno v2.8.x when context.parentURL is not a valid URL (#20245)
• Ensure @tailwindcss/cli in --watch mode rebuilds when the input CSS file changes in an ignored directory (#20246)
• Allow @variant rules used in addBase(…) to use custom variants defined later (#20247)
• Prevent @tailwindcss/vite from crashing during HMR when scanned files or directories are deleted (#20259)
• Generate font-size instead of color declarations for text-[--spacing(…)] (#20260)
• Prevent @source patterns from scanning unrelated sibling files and folders (#20263)
• Extract class candidates adjacent to Template Toolkit delimiters like %]…[% in .tt, .tt2, and .tx files (#20269)
• Extract class candidates from conditional Maud syntax like p.text-black[condition] (#20269)
• Prevent @position-try rules from triggering unknown at-rule warnings when optimizing CSS (#20277)
• Support class suggestions for named opacity modifiers from --opacity theme values (#20287)
• Prevent type errors in @tailwindcss/postcss when used with newer PostCSS patch releases (#20289)

Changelog

Sourced from @​tailwindcss/vite's changelog.

[4.3.3] - 2026-07-16

Fixed

• Support --watch --poll[=ms] in @tailwindcss/cli when filesystem events are unreliable or unavailable (#20297)
• Canonicalization: match arbitrary hex colors against theme colors case-insensitively (e.g. bg-[#fff] and bg-[#FFF] → bg-white) (#20298)
• Prevent Preflight from overriding Firefox's native iframe:focus-visible outline styles (#20292)
• Ensure theme('colors.foo') in JS plugins resolves correctly when both --color-foo and --color-foo-bar exist (#20299)
• Ensure fractional opacity modifiers work with named shadow sizes like shadow-sm/12.5, text-shadow-sm/12.5, drop-shadow-sm/12.5, and inset-shadow-sm/12.5 (#20302)
• Parse selectors like [data-foo]div as two selectors instead of one (#20303)
• Ensure @tailwindcss/postcss rebuilds when a preprocessor like Sass changes the input CSS without changing the input file on disk (#20310)
• Ensure CSS nesting is handled even when Lightning CSS isn't run, such as in @tailwindcss/browser and Tailwind Play (#20124)
• Prevent achromatic theme colors from shifting hue when mixed in polar color spaces like oklch (#20314)
• Ensure --spacing(0) is optimized to 0px instead of 0 so it remains a <length> when used in calc(…) (#20319)
• Load @parcel/watcher only when needed in @tailwindcss/cli --watch mode, so one-off builds and --watch --poll work when @parcel/watcher can't be loaded (#20325)
• Use explicit platform fonts instead of system-ui and ui-sans-serif so CJK text respects the page's lang attribute on Windows (#20318)
• Prevent @tailwindcss/upgrade from rewriting ignored files when run from a subdirectory (#20329)
• Ensure earlier @source rules pointing to nested files are scanned when later @source rules point to files in parent folders (#20335)
• Prevent @tailwindcss/vite from triggering full page reloads when scanned files are processed by Vite but haven't been loaded as modules yet (#20336)

[4.3.2] - 2026-06-26

Fixed

• Support bare spacing values for auto-rows-* and auto-cols-* utilities (e.g. auto-rows-12 and auto-cols-16) (#20229)
• Prevent @tailwindcss/cli in --watch mode from crashing on Windows when @source points to a directory that doesn't exist (#20242)
• Prevent @tailwindcss/vite from crashing in Deno v2.8.x when context.parentURL is not a valid URL (#20245)
• Ensure @tailwindcss/cli in --watch mode rebuilds when the input CSS file changes in an ignored directory (#20246)
• Allow @variant rules used in addBase(…) to use custom variants defined later (#20247)
• Prevent @tailwindcss/vite from crashing during HMR when scanned files or directories are deleted (#20259)
• Generate font-size instead of color declarations for text-[--spacing(…)] (#20260)
• Prevent @source patterns from scanning unrelated sibling files and folders (#20263)
• Extract class candidates adjacent to Template Toolkit delimiters like %]…[% in .tt, .tt2, and .tx files (#20269)
• Extract class candidates from conditional Maud syntax like p.text-black[condition] (#20269)
• Prevent @position-try rules from triggering unknown at-rule warnings when optimizing CSS (#20277)
• Support class suggestions for named opacity modifiers from --opacity theme values (#20287)
• Prevent type errors in @tailwindcss/postcss when used with newer PostCSS patch releases (#20289)

Commits

• c2b24dd 4.3.3 (#20334)
• bdcd708 Don't trigger a full page reload for scanned files that Vite processes as mod...
• 056a155 4.3.2 (#20281)
• bb6a109 use .ts instead of .css
• See full diff in compare view

Updates @typescript-eslint/eslint-plugin from 8.61.1 to 8.67.0

Release notes

Sourced from @​typescript-eslint/eslint-plugin's releases.

v8.67.0

8.67.0 (2026-08-10)

🚀 Features

• typescript-eslint: export basic globs for using tseslint (#12105)

❤️ Thank You

• Evyatar Daud @​StyleShit
• Josh Goldberg ✨
• Kirk Waiblinger @​kirkwaiblinger

See GitHub Releases for more information.

You can read about our versioning strategy and releases on our website.

v8.66.0

8.66.0 (2026-08-03)

🚀 Features

• typescript-estree: handle import.defer() as ImportExpression (#12609)

🩹 Fixes

• eslint-plugin: [no-unnecessary-type-conversion] ignore shadowed built-ins (#12590)
• eslint-plugin: [prefer-nullish-coalescing] handle shadowed Boolean calls (#12591)
• eslint-plugin: [no-useless-default-assignment] don't report defaults used by other overloads (#12607)
• eslint-plugin: [no-unnecessary-type-parameters] check MappedType key remapping (#12588)
• eslint-plugin: [class-literal-property-style] preserve type annotations and don't drop decorators (#12617)
• website: list onUnsupportedTypeScriptVersion in parser options (#12585)

❤️ Thank You

• Evyatar Daud @​StyleShit
• Kirk Waiblinger @​kirkwaiblinger
• Steffen Schroeder
• 송재욱

See GitHub Releases for more information.

You can read about our versioning strategy and releases on our website.

v8.65.0

8.65.0 (2026-07-20)

🚀 Features

• add warning when TS 7 is detected (#12529)

... (truncated)

Changelog

Sourced from @​typescript-eslint/eslint-plugin's changelog.

8.67.0 (2026-08-10)

This was a version bump only for eslint-plugin to align it with other projects, there were no code changes.

See GitHub Releases for more information.

You can read about our versioning strategy and releases on our website.

8.66.0 (2026-08-03)

🩹 Fixes

• eslint-plugin: [class-literal-property-style] preserve type annotations and don't drop decorators (#12617)
• eslint-plugin: [no-unnecessary-type-parameters] check MappedType key remapping (#12588)
• eslint-plugin: [no-useless-default-assignment] don't report defaults used by other overloads (#12607)
• eslint-plugin: [prefer-nullish-coalescing] handle shadowed Boolean calls (#12591)
• eslint-plugin: [no-unnecessary-type-conversion] ignore shadowed built-ins (#12590)

❤️ Thank You

• Evyatar Daud @​StyleShit
• 송재욱

See GitHub Releases for more information.

You can read about our versioning strategy and releases on our website.

8.65.0 (2026-07-20)

🚀 Features

• eslint-plugin: [no-shadow] specialized error on enum declaration and member shadowing (#12578)
• add warning when TS 7 is detected (#12529)
• eslint-plugin: [no-restricted-imports] deprecate extension rule (#12527, #19562, #11889)

🩹 Fixes

• eslint-plugin: [no-unnecessary-parameter-property-assignment] don't flag computed assignments with a variable key (#12568)
• eslint-plugin: [unbound-method] report unbound methods accessed via member expression on union types (#12448)
• eslint-plugin: [prefer-string-starts-ends-with] handle escaped $ ending regex literals (#12515)

❤️ Thank You

• Evyatar Daud @​StyleShit
• Josh Goldberg ✨
• Kirk Waiblinger @​kirkwaiblinger
• Serhii Leniv @​Serhii-Leniv
• 송재욱

See GitHub Releases for more information.

... (truncated)

Commits

• 20a261f chore(release): publish 8.67.0
• 6dfe4d0 chore(eslint-plugin-internal): [plugin-test-formatting] enforce zero-indentat...
• 3b155bb chore: use typescript 7 for typechecking (#12601)
• e51b11b chore(release): publish 8.66.0
• 20cb15e chore(eslint-plugin): split prefer-optional-chain.test.ts in multiple files (...
• 780a8c5 docs(eslint-plugin): [member-ordering] add lacking commas in default member t...
• 08dd427 fix(eslint-plugin): [class-literal-property-style] preserve type annotations ...
• 6be25d3 fix(eslint-plugin): [no-unnecessary-type-parameters] check MappedType key rem...
• 8826d0e fix(eslint-plugin): [no-useless-default-assignment] don't report defaults use...
• 7aecc1c fix(eslint-plugin): [prefer-nullish-coalescing] handle shadowed Boolean calls...
• Additional commits viewable in compare view

Updates @typescript-eslint/parser from 8.61.1 to 8.67.0

Release notes

Sourced from @​typescript-eslint/parser's releases.

v8.67.0

8.67.0 (2026-08-10)

🚀 Features

• typescript-eslint: export basic globs for using tseslint (#12105)

❤️ Thank You

• Evyatar Daud @​StyleShit
• Josh Goldberg ✨
• Kirk Waiblinger @​kirkwaiblinger

See GitHub Releases for more information.

You can read about our versioning strategy and releases on our website.

v8.66.0

8.66.0 (2026-08-03)

🚀 Features

• typescript-estree: handle import.defer() as ImportExpression (#12609)

🩹 Fixes

• eslint-plugin: [no-unnecessary-type-conversion] ignore shadowed built-ins (#12590)
• eslint-plugin: [prefer-nullish-coalescing] handle shadowed Boolean calls (#12591)
• eslint-plugin: [no-useless-default-assignment] don't report defaults used by other overloads (#12607)
• eslint-plugin: [no-unnecessary-type-parameters] check MappedType key remapping (#12588)
• eslint-plugin: [class-literal-property-style] preserve type annotations and don't drop decorators (#12617)
• website: list onUnsupportedTypeScriptVersion in parser options (#12585)

❤️ Thank You

• Evyatar Daud @​StyleShit
• Kirk Waiblinger @​kirkwaiblinger
• Steffen Schroeder
• 송재욱

See GitHub Releases for more information.

You can read about our versioning strategy and releases on our website.

v8.65.0

8.65.0 (2026-07-20)

🚀 Features

• add warning when TS 7 is detected (#12529)

... (truncated)

Changelog

Sourced from @​typescript-eslint/parser's changelog.

8.67.0 (2026-08-10)

This was a version bump only for parser to align it with other projects, there were no code changes.

See GitHub Releases for more information.

You can read about our versioning strategy and releases on our website.

8.66.0 (2026-08-03)

This was a version bump only for parser to align it with other projects, there were no code changes.

See GitHub Releases for more information.

You can read about our versioning strategy and releases on our website.

8.65.0 (2026-07-20)

🚀 Features

• add warning when TS 7 is detected (#12529)
• parser: add onUnsupportedTypeScriptVersion option to error on unsupported TypeScript versions (#12465)

❤️ Thank You

• Evyatar Daud @​StyleShit
• Josh Goldberg ✨
• Kirk Waiblinger @​kirkwaiblinger
• 송재욱

See GitHub Releases for more information.

You can read about our versioning strategy and releases on our website.

8.64.0 (2026-07-13)

This was a version bump only for parser to align it with other projects, there were no code changes.

See GitHub Releases for more information.

You can read about our versioning strategy and releases on our website.

8.63.0 (2026-07-06)

This was a version bump only for parser to align it with other projects, there were no code changes.

See GitHub Releases for more information.

You can read about our versioning strategy and releases on our website.

... (truncated)

Commits

• 20a261f chore(release): publish 8.67.0
• 3b155bb chore: use typescript 7 for typechecking (#12601)
• e51b11b chore(release): publish 8.66.0
• 63ba81b chore(release): publish 8.65.0
• eaf4576 feat: add warning when TS 7 is detected (#12529)
• d8f1044 feat(parser): add onUnsupportedTypeScriptVersion option to error on unsupport...
• 0d06406 chore: add attw validation to repo (#12437)
• c2386e4 chore(deps): update dependency prettier to v3.9.5 (#12486)
• 414d9ab chore(release): publish 8.64.0
• 290cf6c chore(release): publish 8.63.0
• Additional commits viewable in compare view

Updates @viz-js/viz from 3.28.0 to 3.29.0

Release notes

Sourced from @​viz-js/viz's releases.

@​viz-js/viz 3.29.0

• Update Graphviz to 15.1.1.
• Don't leave valid images around if there was an invalid image. (#388)
• Interpret explicit undefined engine option value as "dot". (#386)

Changelog

Sourced from @​viz-js/viz's changelog.

3.29.0

• Update Graphviz to 15.1.1.
• Don't leave valid images around if there was an invalid image. (#388)
• Interpret explicit undefined engine option value as "dot". (#386)

Commits

• 96be4ed Release @​viz-js/viz 3.29.0
• 48ed1b7 Update Graphviz to 15.1.1
• 26ec466 Update CHANGELOG.md
• aaf4192 Don't leave valid images around if there was an invalid image (#388)
• 52bb61f Add tests for undefined format option
• 80da36a Interpret explicit undefined engine option value as "dot" (#386)
• 0e33958 Use strict equal
• See full diff in compare view

Updates autoprefixer from 10.5.0 to 10.5.4

Release notes

Sourced from autoprefixer's releases.

10.5.4

• Fixed prefixed rule duplication (by @​xianjianlf2).

10.5.3

• Fixed brackets and gradient parser (@​alanturing881).

10.5.2

• Moved -webkit-fill-available before -moz-available, so Firefox will use -webkit- version which is closer to stretch.

10.5.1

• Fixed grid-area span reset for overriding areas (by @​puneetdixit200).

Changelog

Sourced from autoprefixer's changelog.

10.5.4

• Fixed prefixed rule duplication (by @​xianjianlf2).

10.5.3

• Fixed brackets and gradient parser (@​alanturing881).

10.5.2

• Moved -webkit-fill-available before -moz-available, so Firefox will use -webkit- version which is closer to stretch.

10.5.1

• Fixed grid-area span reset for overriding areas (by @​puneetdixit200).

Commits

• 4cad00f Release 10.5.4 version
• e62a4b1 Update CI config
• c8f0d0a Update dependencies
• cae3577 Move back to latest pnpm 11
• fd31eb3 Fix duplicated prefixed selectors on reformatted CSS (#1552)
• 958d390 Release 10.5.3 version
• 21d2adb Fix gradient parser
• f7ddae9 Fix bracket parser
• 10ea5e7 Update dependencies and remove patch
• b6e8a2a Update Dev Container
• Additional commits viewable in compare view

Maintainer changes

This version was pushed to npm by GitHub Actions, a new releaser for autoprefixer since your current version.

Updates eslint from 10.5.0 to 10.8.1

Release notes

Sourced from eslint's releases.

v10.8.1

Bug Fixes

• 18eb0a7 fix: prevent ASI hazard in no-unused-labels autofix (#21173) (dongkyu lee)
• 151ba3f fix: false positives in getter-return and accessor-pairs (#21163) (Grit)
• 6898df9 fix: ignore meta-property names in id-denylist (#21166) (Pixel)
• 4d7db66 fix: ignore meta-property names in id-match (#21167) (Pixel)
• 677214e fix: handle ASI hazards in no-unused-vars removeVar suggestion (#20935) (kuldeep kumar)

Documentation

• 7d0cbf8 docs: Update README (GitHub Actions Bot)
• 0a05812 docs: add missing backticks to no-duplicate-imports.js (#21183) (Lee Daeun)
• 678c90b docs: Update README (GitHub Actions Bot)
• 8a10424 docs: Update README (GitHub Actions Bot)
• 69bb948 docs: Update README (GitHub Actions Bot)

Chores

• 0a14800 chore: update github/codeql-action action to v4.37.4 (#21196) (renovate[bot])
• 05adcb1 test: fix failing ecosystem test for eslint-plugin-unicorn (#21191) (Lazizbek Ergashev)
• 5611035 test: add error locations info to no-void (#21185) (Lee Daeun)
• ee47333 ci: bump github/codeql-action from 4 to 4.37.3 (#21176) (dependabot[bot])
• f131c03 chore: improve ecosystem test failure reporting (#20937) (crimsonjay0)
• 1f6edde chore: update ecosystem plugins (#21182) (ESLint Bot)
• d3266fb chore: unpin webpack dependency (#21172) (Francesco Trotta)
• 65a6519 chore: add allowScripts field to package.json (#21092) (GiHoon Noh)
• 22e5256 ci: add triage:no label to Dependabot PRs (#21141) (lumir)
• 55c9038 ci: bump actions/labeler from 6 to 7 (#21159) (dependabot[bot])
• 7280e78 chore: update dependency prettier to v3.9.6 (#21162) (renovate[bot])
• eddbad6 test: fix failing ecosystem test for eslint-plugin-unicorn (#21156) (Francesco Trotta)
• 60a178d chore: update ecosystem plugins (#21150) (ESLint Bot)
• f9f61dc test: add error locations to no-unreachable (#21151) (JIYEON)
• d086293 test: add error locations to no-undef (#21147) (JIYEON)
• cc01b67 test: add error locations to no-useless-catch (#21144) (devoil)
• 688e75e chore: add missing backticks in JSDoc (#21143) (Bo Hyun Kim)
• 7c1e175 test: add error locations to require-await (#21145) (Grit)
• 588a26d test: add error locations to no-extra-label (#21139) (dongkyu lee)
• 059aa89 test: add error locations to no-useless-concat (#21140) (dongkyu lee)
• 5a452a8 test: add error locations to no-const-assign (#21138) (dongkyu lee)

v10.8.0

Features

• 2fee9bb feat: export ConfigObject from eslint/config (#21082) (sethamus)

Bug Fixes

• 6b8d2f7 fix: escape reserved characters in rule id in html formatter (#21129) (Francesco Trotta)
• 9091071 fix: prevent no-unreachable-loop crash when all loop types are ignored (#21116) (Pixel)
• e23fafe fix: prefer-object-spread add semicolon when adding parenthesis (#21081) (synthex-byte)
• 20b5ad0 fix: quadratic-time regex in prefer-template (#21096) (Milos Djermanovic)
• 8b6f6c0 fix: apply ignore configs to computed methods in class-methods-use-this (#21094) (Pixel)
• b2c608c fix: NewExpression with parenthesized callee in preserve-caught-error (#21083) (Francesco Trotta)

... (truncated)

Commits

• c049dc3 10.8.1
• a3f7826 Build: changelog update for 10.8.1
• 18eb0a7 fix: prevent ASI hazard in no-unused-labels autofix (#21173)
• 0a14800 chore: update github/codeql-action action to v4.37.4 (#21196)
• 7d0cbf8 docs: Update README
• 05adcb1 test: fix failing ecosystem test for eslint-plugin-unicorn (#21191)
• 5611035 test: add error locations info to no-void (#21185)
• ee47333 ci: bump github/codeql-action from 4 to 4.37.3 (#21176)
• f131c03 chore: improve ecosystem test failure reporting (#20937)
• 0a05812 docs: add missing backticks to no-duplicate-imports.js (#21183)
• Additional commits viewable in compare view

Updates eslint-plugin-vue from 10.9.2 to 10.10.0

Release notes

Sourced from eslint-plugin-vue's releases.

v10.10.0

Minor Changes

• Added support for template literals to vue/prefer-separate-static-class (#3097)
• Added allowLineSeparatedGroups option to vue/sort-keys rule (#3084)

Patch Changes

• Updated @eslint-community/eslint-utils, semver and xml-name-validator dependencies (#3094)

Changelog

Sourced from eslint-plugin-vue's changelog.

10.10.0

Minor Changes

• Added support for template literals to vue/prefer-separate-static-class (#3097)

• Added allowLineSeparatedGroups option to vue/sort-keys rule (#3084)

Patch Changes

• Updated @eslint-community/eslint-utils, semver and xml-name-validator dependencies (#3094)

Commits

• 03abb27 Version Packages (#3087)
• 68da3d8 docs: More accurate example in prefer-single-event-payload (#3089)
• d117769 docs: complete component detection patterns (#3098)
• 8e26efd Fix prefer-separate-static-class for template literals (#3097)
• a7e0b75 Update development dependencies (#3095)
• 51a1c2d Update dependencies (#3094)
• 52de0e4 Update development dependencies (#3093)
• c539b98 Update eslint-plugin-unicorn to v70 (#3092)
• 648e21e Update ESLint to v10 for development (#3090)
• 9b8a697 Update Prettier to v3.9 (#3091)
• Additional commits viewable in compare view

Updates prettier from 3.8.4 to 3.9.6

Release notes

Sourced from prettier's releases.

3.9.6

What's Changed

• Preserve quotes for methods named new (prettier/prettier#19621 by @​kovsu)
• Support import defer in typescript parser (prettier/prettier#19624, prettier/prettier#19675 by @​fisker)
• Added a new official plugin @prettier/plugin-yuku 🚀 (prettier/prettier#19628, prettier/prettier#19629 by @​fisker)

🔗 Changelog

3.9.5

🔗 Changelog

3.9.4

• Angular: Format @content(name) -> @content (name) to align with other block syntax (#19499 by @​fisker)

🔗 Changelog

3.9.3

• Markdown: Fix unexpected removal of characters in liquid syntax (prettier/prettier#19489 by @​seiyab)
• TypeScript: Allow decorators to be used with declare on class fields (prettier/prettier#19492 by @​evoactivity)

🔗 Changelog

3.9.1

• CLI: Fix ignored file has been cached incorrectly (#19483 by @​kovsu)

🔗 Changelog

3.9.0

diff

🔗 Prettier 3.9: Major parser upgrades and Formatting improvements

3.8.5

• Fix Flow variance annotation print (#19022 by @​marcoww6)

🔗 Changelog

Changelog

Sourced from prettier's changelog.

3.9.6

diff

TypeScript: Preserve quotes for methods named new (#19621 by @​kovsu)

// Input
interface Container {
  "new"(id: string): number;
}
// Prettier 3.9.5
interface Container {
new(id: string): number;
}
// Prettier 3.9.6
interface Container {
"new"(id: string): number;
}

TypeScript: Support import defer (#19624, #19675 by @​fisker)

// Input
import defer * as foo from "foo";
// Prettier 3.9.5
import * as foo from "foo";
// Prettier 3.9.6
import defer * as foo from "foo";

JavaScript: Added a new official plugin @prettier/plugin-yuku (#19628, #19629 by @​fisker)

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Spark 3.5.7 Test Report

Commit Information

Commit	Revision	Branch
After	8abaf05	refs/pull/22/merge
Before	8abaf05	refs/pull/22/merge

Test Summary

Suite	Commit	Failed	Passed	Skipped	Warnings	Time (s)
doctest-catalog	After	11	13	1	6	5.05
	Before	11	13	1	6	5.05
doctest-column	After		33		2	5.48
	Before		33		2	5.48
doctest-dataframe	After	15	82	10	3	8.05
	Before	15	82	10	3	8.05
doctest-functions	After	15	386	8	7	16.67
	Before	15	386	8	7	16.67
test-connect	After	121	881	169	696	131.40
	Before	121	881	169	696	131.40

Test Details

Error Counts

          162 Total
           92 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
           13 PySparkAssertionError: [DIFFERENT_PANDAS_DATAFRAME] DataFrames are not almost equal:
           10 DocTestFailure
           10 handle add artifacts
            6 UnsupportedOperationException: PlanNode::CacheTable
            5 UnsupportedOperationException: function: input_file_name
            4 AssertionError: AnalysisException not raised
            4 AssertionError: False is not true
            3 UnsupportedOperationException: handle analyze input files
            3 ValueError: Converting to Python dictionary is not supported when duplicate field names are present
            2 AnalysisException: Could not find config namespace "spark"
            2 AnalysisException: Internal error: Function 'approx_percentile_cont' failed to match any signature, errors: Error during planning: Function 'approx_percentile_cont' expects 2 arguments but received 3,...
            2 AnalysisException: No table format found for: orc
            2 AnalysisException: explode should be rewritten during logical plan analysis
            2 AnalysisException: not supported: function exists
            2 AnalysisException: not supported: list functions
            2 AssertionError
            2 AssertionError: 0 not greater than or equal to 1
            2 IllegalArgumentException: expected value at line 1 column 1
            2 IllegalArgumentException: invalid argument: found FUNCTION at 7:15 expected 'DATABASE', 'SCHEMA', 'NAMESPACE', 'OR', 'TEMP', 'TEMPORARY', 'EXTERNAL', 'TABLE', 'GLOBAL', or 'VIEW'
            2 IllegalArgumentException: invalid argument: found RESET at 0:5 expected something else, ';', statement, or end of input
            2 PySparkNotImplementedError: [NOT_IMPLEMENTED] rdd() is not implemented.
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@bjwplt75b8s8lnn9byry0pm4s(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            2 UnsupportedOperationException: approx quantile
            2 UnsupportedOperationException: collect metrics
            2 UnsupportedOperationException: freq items
            2 UnsupportedOperationException: function: session_window
            2 UnsupportedOperationException: handle analyze same semantics
            2 UnsupportedOperationException: user defined data type should only exist in a field
            2 UnsupportedOperationException: with watermark
            2 handle artifact statuses
            1 AnalysisException: Cannot cast string 'abc' to value of Float64 type
            1 AnalysisException: Cannot cast value 'abc' to value of Boolean type
            1 AnalysisException: Failed to parse placeholder id: cannot parse integer from empty string
            1 AnalysisException: Table already exists: tbl1
            1 AnalysisException: Temporary View not found: tab2
            1 AnalysisException: UNION queries have different number of columns: left has 2 columns whereas right has 3 columns
            1 AssertionError: "Database 'memory:2407a351-96fc-4308-a593-f970f9bea05c' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
            1 AssertionError: "Database 'memory:94ca976a-4da2-436a-a3f8-52f3ffc5fa5c' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
            1 AssertionError: '+---[17 chars]-----+\n|                        x|\n+--------[132 chars]-+\n' != '+---[17 chars]----------+\n|update_fields(x, WithField(e))|\[167 chars]-+\n'
            1 AssertionError: 1 != 0
            1 AssertionError: AnalysisException not raised by <lambda>
            1 AssertionError: ArrayIndexOutOfBoundsException not raised
            1 AssertionError: Exception not raised
            1 AssertionError: Exception not raised by <lambda>
            1 AssertionError: Lists differ: [(1, 2), (3, 4), (None, 5), (0, 0)] != [(1, 2), (3, 4), (None, 5), (None, None)]
            1 AssertionError: Lists differ: [Row(id=90, name='90'), Row(id=91, name='91'), Ro[176 chars]99')] != [Row(id=15, name='15'), Row(id=16, name='16'), Ro[176 chars]24')]
            1 AssertionError: Lists differ: [Row(ln(id)=0.0, ln(id)=0.0, struct(id, name)=Row(id=[1232 chars]0'))] != [Row(ln(id)=4.31748811353631, ln(id)=4.31748811353631[1312 chars]4'))]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Andy', ag[374 chars]one)] != [Row(age=19, name='Justin'), Row(age=19, name=[374 chars]el')]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Justin', [34 chars]one)] != [Row(_corrupt_record=' "age":19}\n', name=None[104 chars]el')]
            1 AssertionError: Row(point='[1.0, 2.0]', pypoint='[3.0, 4.0]') != Row(point='(1.0, 2.0)', pypoint='[3.0, 4.0]')
            1 AssertionError: StorageLevel(False, True, True, False, 1) != StorageLevel(False, False, False, False, 1)
            1 AssertionError: Struc[15 chars]eld('a', NullType(), True), StructField('b', L[51 chars]ue)]) != Struc[15 chars]eld('b', LongType(), True), StructField('c', S[15 chars]ue)])
            1 AssertionError: Struc[30 chars]estampType(), True), StructField('val', IntegerType(), True)]) != Struc[30 chars]estampType(), True), StructField('val', IntegerType(), False)])
            1 AssertionError: Struc[32 chars]e(), False), StructField('b', DoubleType(), Fa[158 chars]ue)]) != Struc[32 chars]e(), True), StructField('b', DoubleType(), Tru[154 chars]ue)])
            1 AssertionError: Struc[40 chars]ue), StructField('val', ArrayType(DoubleType(), False), True)]) != Struc[40 chars]ue), StructField('val', PythonOnlyUDT(), True)])
            1 AssertionError: YearMonthIntervalType(0, 1) != YearMonthIntervalType(0, 0)
            1 AssertionError: [1.0, 2.0] != ExamplePoint(1.0,2.0)
            1 AssertionError: dtype('<M8[us]') != 'datetime64[ns]'
            1 IllegalArgumentException: invalid argument: field not found in input schema: col1
            1 PySparkNotImplementedError: [NOT_IMPLEMENTED] toJSON() is not implemented.
            1 PythonException:  AttributeError: 'NoneType' object has no attribute 'partitionId'
            1 PythonException:  AttributeError: 'list' object has no attribute 'x'
            1 PythonException:  AttributeError: 'list' object has no attribute 'y'
            1 SparkRuntimeException: Cast error: Cannot cast string '1997/02/28 10:30:00' to value of Date32 type
            1 SparkRuntimeException: Invalid argument error: 83.140 is too large to store in a Decimal128 of precision 4. Max is 9.999
            1 SparkRuntimeException: Json error: Not valid JSON: EOF while parsing a list at line 1 column 1
            1 SparkRuntimeException: Json error: Not valid JSON: expected value at line 1 column 2
            1 SparkRuntimeException: Parser error: Error while parsing value '0
            1 SparkRuntimeException: This feature is not implemented: Unsupported CAST from Map("entries": non-null Struct("key": non-null Int32, "value": non-null Int32), unsorted) to Null
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@bjwplt75b8s8lnn9byry0pm4s(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@bjwplt75b8s8lnn9byry0pm4s(plus_one@5u7wzy1x1zf4loxm9n1r277lw(#9)) PART...
            1 UnsupportedOperationException: PlanNode::ClearCache
            1 UnsupportedOperationException: PlanNode::IsCached
            1 UnsupportedOperationException: PlanNode::RecoverPartitions
            1 UnsupportedOperationException: SHOW FUNCTIONS
            1 UnsupportedOperationException: Support for 'approx_distinct' for data type Float64 is not implemented
            1 UnsupportedOperationException: apply in pandas with state
            1 UnsupportedOperationException: bucketing for writing listing table format
            1 UnsupportedOperationException: deduplicate within watermark
            1 UnsupportedOperationException: function: input_file_block_length
            1 UnsupportedOperationException: function: input_file_block_start
            1 UnsupportedOperationException: function: map_filter
            1 UnsupportedOperationException: function: map_zip_with
            1 UnsupportedOperationException: function: reflect
            1 UnsupportedOperationException: function: transform_keys
            1 UnsupportedOperationException: function: transform_values
            1 UnsupportedOperationException: function: zip_with
            1 UnsupportedOperationException: handle analyze semantic hash
            1 UnsupportedOperationException: unknown function: distributed_sequence_id
            1 UnsupportedOperationException: unsupported sink mode for listing table: OverwriteIf { condition: ExprWithSource { expr: Literal(Boolean(true), None), source: None } }
            1 ValueError: The column label 'id' is not unique.
            1 ValueError: The column label 'struct' is not unique.

Passed Tests Diff

(empty)

Failed Tests

pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.cacheTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.clearCache
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.createTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.functionExists
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.getFunction
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.isCached
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.listFunctions
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.recoverPartitions
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.refreshByPath
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.refreshTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.uncacheTable
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.colRegex
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.dropDuplicatesWithinWatermark
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.explain
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.hint
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.inputFiles
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.observe
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.randomSplit
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.repartition
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.repartitionByRange
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.sameSemantics
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.sampleBy
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.storageLevel
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.toJSON
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.withWatermark
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrameStatFunctions.sampleBy
pyspark/sql/functions.py::pyspark.sql.functions.approx_percentile
pyspark/sql/functions.py::pyspark.sql.functions.first
pyspark/sql/functions.py::pyspark.sql.functions.input_file_block_length
pyspark/sql/functions.py::pyspark.sql.functions.input_file_block_start
pyspark/sql/functions.py::pyspark.sql.functions.input_file_name
pyspark/sql/functions.py::pyspark.sql.functions.map_entries
pyspark/sql/functions.py::pyspark.sql.functions.map_filter
pyspark/sql/functions.py::pyspark.sql.functions.map_zip_with
pyspark/sql/functions.py::pyspark.sql.functions.percentile_approx
pyspark/sql/functions.py::pyspark.sql.functions.reflect
pyspark/sql/functions.py::pyspark.sql.functions.regexp_instr
pyspark/sql/functions.py::pyspark.sql.functions.session_window
pyspark/sql/functions.py::pyspark.sql.functions.transform_keys
pyspark/sql/functions.py::pyspark.sql.functions.transform_values
pyspark/sql/functions.py::pyspark.sql.functions.zip_with
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_add_archive
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_add_file
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_add_pyfile
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_add_zipped_package
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_basic_requests
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_cache_artifact
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_copy_from_local_to_fs
pyspark/sql/tests/connect/client/test_artifact.py::LocalClusterArtifactTests::test_add_archive
pyspark/sql/tests/connect/client/test_artifact.py::LocalClusterArtifactTests::test_add_file
pyspark/sql/tests/connect/client/test_artifact.py::LocalClusterArtifactTests::test_add_pyfile
pyspark/sql/tests/connect/client/test_artifact.py::LocalClusterArtifactTests::test_add_zipped_package
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_collect
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_collect_timestamp
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_column_regexp
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_create_global_temp_view
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_deduplicate_within_watermark_in_batch
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_describe
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_hint
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_input_files
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_join_hint
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_json
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_multi_paths
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_observe
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_orc
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_random_split
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_same_semantics
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_schema
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_semantic_hash
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_simple_udt_from_read
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_sql_with_command
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_sql_with_pos_args
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_stat_approx_quantile
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_stat_freq_items
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_stat_sample_by
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_streaming_local_relation
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_tail
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_to
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_with_local_list
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_with_local_ndarray
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_write_operations
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectSessionTests::test_error_stack_trace
pyspark/sql/tests/connect/test_connect_column.py::SparkConnectColumnTests::test_column_arithmetic_ops
pyspark/sql/tests/connect/test_connect_column.py::SparkConnectColumnTests::test_column_field_ops
pyspark/sql/tests/connect/test_connect_column.py::SparkConnectColumnTests::test_decimal
pyspark/sql/tests/connect/test_connect_column.py::SparkConnectColumnTests::test_distributed_sequence_id
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_aggregation_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_collection_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_date_ts_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_generator_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_lambda_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_map_collection_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_math_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_normal_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_string_functions_multi_args
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_time_window_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_udf
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_udtf
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_window_functions
pyspark/sql/tests/connect/test_parity_arrow.py::ArrowParityTests::test_createDataFrame_duplicate_field_names
pyspark/sql/tests/connect/test_parity_arrow.py::ArrowParityTests::test_pandas_self_destruct
pyspark/sql/tests/connect/test_parity_arrow.py::ArrowParityTests::test_toPandas_duplicate_field_names
pyspark/sql/tests/connect/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/test_parity_catalog.py::CatalogParityTests::test_function_exists
pyspark/sql/tests/connect/test_parity_catalog.py::CatalogParityTests::test_get_function
pyspark/sql/tests/connect/test_parity_catalog.py::CatalogParityTests::test_list_functions
pyspark/sql/tests/connect/test_parity_catalog.py::CatalogParityTests::test_refresh_table
pyspark/sql/tests/connect/test_parity_catalog.py::CatalogParityTests::test_table_cache
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_cache_dataframe
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_cache_table
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_duplicate_field_names
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_extended_hint_types
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_freqItems
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_generic_hints
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_input_files
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_to
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_to_pandas
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_checking_csv_header
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_encoding_json
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_ignore_column_of_all_nulls
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_jdbc
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_jdbc_format
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_linesep_json
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_multiline_json
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_read_multiple_orc_file
pyspark/sql/tests/connect/test_parity_errors.py::ErrorsParityTests::test_array_index_out_of_bounds_exception
pyspark/sql/tests/connect/test_parity_errors.py::ErrorsParityTests::test_number_format_exception
pyspark/sql/tests/connect/test_parity_errors.py::ErrorsParityTests::test_spark_runtime_exception
pyspark/sql/tests/connect/test_parity_functions.py::FunctionsParityTests::test_approxQuantile
pyspark/sql/tests/connect/test_parity_functions.py::FunctionsParityTests::test_functions_broadcast
pyspark/sql/tests/connect/test_parity_functions.py::FunctionsParityTests::test_inline
pyspark/sql/tests/connect/test_parity_functions.py::FunctionsParityTests::test_input_file_name_udf
pyspark/sql/tests/connect/test_parity_pandas_grouped_map.py::GroupedApplyInPandasTests::test_grouped_over_window
pyspark/sql/tests/connect/test_parity_pandas_grouped_map.py::GroupedApplyInPandasTests::test_grouped_over_window_with_key
pyspark/sql/tests/connect/test_parity_pandas_grouped_map_with_state.py::GroupedApplyInPandasWithStateTests::test_apply_in_pandas_with_state_python_worker_random_failure
pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_scalar_iter_udf_init
pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_vectorized_udf_check_config
pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_vectorized_udf_invalid_length
pyspark/sql/tests/connect/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_bounded_mixed
pyspark/sql/tests/connect/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_bounded_simple
pyspark/sql/tests/connect/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_shrinking_window
pyspark/sql/tests/connect/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_sliding_window
pyspark/sql/tests/connect/test_parity_readwriter.py::ReadwriterParityTests::test_bucketed_write
pyspark/sql/tests/connect/test_parity_readwriter.py::ReadwriterParityTests::test_save_and_load
pyspark/sql/tests/connect/test_parity_readwriter.py::ReadwriterParityTests::test_save_and_load_builder
pyspark/sql/tests/connect/test_parity_readwriter.py::ReadwriterV2ParityTests::test_create_without_provider
pyspark/sql/tests/connect/test_parity_readwriter.py::ReadwriterV2ParityTests::test_table_overwrite
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_cast_to_string_with_udt
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_cast_to_udt_with_udt
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_complex_nested_udt_in_df
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_negative_decimal
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_parquet_with_udt
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_udf_with_udt
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_udt_with_none
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_yearmonth_interval_type
pyspark/sql/tests/connect/test_parity_udf.py::UDFParityTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/test_parity_udtf.py::ArrowUDTFParityTests::test_udtf_arrow_sql_conf
pyspark/sql/tests/connect/test_parity_udtf.py::ArrowUDTFParityTests::test_udtf_with_table_argument_multiple
pyspark/sql/tests/connect/test_parity_udtf.py::UDTFParityTests::test_udtf_with_table_argument_multiple
pyspark/sql/tests/connect/test_utils.py::ConnectUtilsTests::test_assert_approx_equal_decimaltype_custom_rtol_pass
pyspark/sql/tests/connect/test_utils.py::ConnectUtilsTests::test_assert_equal_nested_struct_str_duplicate

[github-actions]

Warning

The baseline was not found.

Spark 4.1.1 Test Report

Commit Information

Commit	Revision	Branch
After	8abaf05	refs/pull/22/merge
Before	8abaf05	refs/pull/22/merge

Test Summary

Suite	Commit	Failed	Passed	Skipped	Warnings	Time (s)
doctest-catalog	After	11	13	1		5.67
	Before	11	13	1		5.67
doctest-column	After		36			6.66
	Before		36			6.66
doctest-dataframe	After	28	91	3	2	10.13
	Before	28	91	3	2	10.13
doctest-functions	After	70	415	10	5	26.46
	Before	70	415	10	5	26.46
test-connect	After	660	1848	292	408	241.16
	Before	660	1848	292	408	241.16

Test Details

Error Counts

          769 Total
          286 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
           60 IllegalArgumentException: missing argument: Python UDF output type
           50 UnsupportedOperationException: unresolved table valued function
           30 DocTestFailure
           22 UnsupportedOperationException: handle add artifacts
           20 AssertionError: 1 != 0 : dict_keys([])
           20 AssertionError: Exception not raised
           14 UnsupportedOperationException: unknown function: kll_sketch_agg_bigint
           12 PySparkAssertionError: [DIFFERENT_ROWS] Results do not match: ( 100.00000 % )
           10 PySparkAssertionError: [DIFFERENT_PANDAS_DATAFRAME] DataFrames are not almost equal:
           10 SparkRuntimeException: Python error: [test::partitions] NotImplementedError: 
           10 UnsupportedOperationException: unsupported subquery type
           10 UnsupportedOperationException: with watermark
            9 AssertionError: 3 != 0 : []
            9 IllegalArgumentException: expected value at line 1 column 1
            9 IllegalArgumentException: invalid argument: found range at 40:45 expected '->', '.', '(', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|'...
            9 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#1", data_type: Int64, nullable: true, metadata: {"SPARK::metadata::json": "{}"} },...
            9 UnsupportedOperationException: collect metrics
            8 AssertionError
            8 UnsupportedOperationException: unknown function: kll_sketch_agg_double
            8 UnsupportedOperationException: unknown function: kll_sketch_agg_float
            7 UnsupportedOperationException: function: input_file_name
            7 UnsupportedOperationException: user defined data type should only exist in a field
            6 AssertionError: 1 != 0
            6 AssertionError: False is not true
            6 IllegalArgumentException: data did not match any variant of untagged enum JsonDataType
            6 PythonException:  ValueError: invalid literal for int() with base 10: 'x'
            6 UnsupportedOperationException: PlanNode::CacheTable
            6 UnsupportedOperationException: direct shuffle partition ID expression
            5 AssertionError: AnalysisException not raised
            5 AssertionError: `query_context_type` is required when QueryContext exists. QueryContext: [].
            5 IllegalArgumentException: invalid argument: output mode not supported in group map
            5 PythonException:  TypeError: argument of type 'VariantVal' is not iterable
            4 AnalysisException: Temporary View not found: t2
            4 AssertionError: 3 != 0 : dict_keys([])
            4 AssertionError: unexpectedly None
            4 UnsupportedOperationException: approx quantile
            4 UnsupportedOperationException: freq items
            4 UnsupportedOperationException: transpose
            4 clone session
            3 AnalysisException: Failed to parse placeholder id: cannot parse integer from empty string
            3 AnalysisException: Invalid Python user-defined table function return type. Expect a struct type, but got Int32.
            3 AssertionError: 0 not greater than or equal to 1
            3 AssertionError: DayTimeIntervalType(0, 3) != DayTimeIntervalType(1, 3)
            3 AssertionError: Struc[49 chars]valType(0, 3), True), StructField('name', StringType(), True)]) != Struc[49 chars]valType(1, 3), True), StructField('name', StringType(), True)])
            3 IllegalArgumentException: invalid argument: found PARTITION at 281:290 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            3 IllegalArgumentException: invalid argument: found PARTITION at 295:304 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            3 IllegalArgumentException: invalid argument: found PARTITION at 59:68 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=',...
            3 IllegalArgumentException: invalid argument: found WITH at 171:175 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=', '!...
            3 IllegalArgumentException: invalid argument: found WITH at 279:283 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=', '!...
            3 PythonException: 
            3 PythonException:  Exception: self._partition_col was 1 but the row value was 2 PySparkRuntimeError: [UDTF_EXEC_ERROR] User defined table function encountered an error in the 'eval' method: self._parti...
            3 PythonException:  PySparkRuntimeError: [UDTF_CONSTRUCTOR_INVALID_NO_ANALYZE_METHOD] Failed to evaluate the user-defined table function '' because its constructor is invalid: the function does not impl...
            3 PythonException:  TypeError: int() argument must be a string, a bytes-like object or a real number, not 'dict'
            3 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#0", data_type: Int64 }, Column { relation: None, name: "#0" })
            3 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#0", data_type: List(Field { data_type: Float64 }), nullable: true, metadata: {"SAI...
            3 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#2", data_type: Int32, nullable: true }, Column { relation: Some(Bare { table: "t" ...
            3 UnsupportedOperationException: cached remote relation
            3 UnsupportedOperationException: handle analyze input files
            3 UnsupportedOperationException: table argument options in subquery expression
            3 UnsupportedOperationException: unknown function: distributed_sequence_id
            3 ValueError: Converting to Python dictionary is not supported when duplicate field names are present
            2 AnalysisException: Internal error: Function 'approx_percentile_cont' failed to match any signature, errors: Error during planning: Function 'approx_percentile_cont' expects 2 arguments but received 3,...
            2 AnalysisException: No table format found for: orc
            2 AnalysisException: Spark `variant_get` function: path must be a constant string
            2 AnalysisException: Write failed for partition 1: External error: Python error: [TestJsonWriter::write] AttributeError: 'NoneType' object has no attribute 'partitionId'
            2 AnalysisException: ambiguous attribute: ObjectName([Identifier("id")])
            2 AnalysisException: explode should be rewritten during logical plan analysis
            2 AnalysisException: not supported: function exists
            2 AnalysisException: not supported: list functions
            2 AssertionError: AnalysisException not raised by <lambda>
            2 AssertionError: PythonException not raised
            2 AssertionError: StructType([StructField('value', BinaryTy[55 chars]se)]) != VariantType()
            2 IllegalArgumentException: invalid argument: found FUNCTION at 7:15 expected 'DATABASE', 'SCHEMA', 'NAMESPACE', 'OR', 'TEMP', 'TEMPORARY', 'EXTERNAL', 'TABLE', 'GLOBAL', or 'VIEW'
            2 IllegalArgumentException: invalid argument: found PARTITION at 97:106 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!='...
            2 IllegalArgumentException: invalid argument: initial input not supported in group map
            2 IllegalArgumentException: invalid argument: missing data source format
            2 PythonException:  AssertionError: assert None is not None
            2 PythonException:  AttributeError: 'NoneType' object has no attribute 'cpus'
            2 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (int64) with name 'decimal_result' to Arrow Array (decimal128(10, 2)).
            2 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (int8) with name 'None' to Arrow Array (decimal128(10, 0)).
            2 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (object) with name 'None' to Arrow Array (int32).
            2 SparkRuntimeException: Error during planning: Correlated scalar subquery must be aggregated to return at most one row
            2 SparkRuntimeException: Python error: [TestDataSource::partitions] NotImplementedError: 
            2 SparkRuntimeException: Python error: [my-json::partitions] AttributeError: 'pyarrow.lib.Schema' object has no attribute 'fieldNames'
            2 TypeError: 'NoneType' object is not iterable
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@42nxldcwlikpshede68hki4hd(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@9iphoaj9v2becke5sqyqokbpc(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: mean_udf@56f23o3q96gbgh8wooin3wlez(#3) PARTITION BY [#2] ORDER BY [#3 ASC ...
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: mean_udf@6blgh7qrs537jqp40qew4vlxb(#3) PARTITION BY [#2] ORDER BY [#3 ASC ...
            2 UnsupportedOperationException: CLUSTER BY for write
            2 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#0", data_type: Int32, nullable: true }, Column { relation: Some(Bare { table: "t1"...
            2 UnsupportedOperationException: Physical plan does not support logical expression Wildcard { qualifier: None, options: WildcardOptions { ilike: None, exclude: None, except: None, replace: None, rename:...
            2 UnsupportedOperationException: cast Time64(Nanosecond) to Spark data type
            2 UnsupportedOperationException: create resource profile command
            2 UnsupportedOperationException: function: from_xml
            2 UnsupportedOperationException: function: st_setsrid
            2 UnsupportedOperationException: function: st_srid
            2 UnsupportedOperationException: function: try_make_interval
            2 UnsupportedOperationException: handle analyze same semantics
            2 UnsupportedOperationException: named window function arguments
            2 UnsupportedOperationException: unknown function: try_to_date
            2 UnsupportedOperationException: unknown function: try_to_time
            2 UnsupportedOperationException: wildcard with plan ID
            2 handle artifact statuses
            1 AnalysisException: Cannot cast string 'abc' to value of Float64 type
            1 AnalysisException: Cannot cast value 'abc' to value of Boolean type
            1 AnalysisException: Could not find config namespace "mapred"
            1 AnalysisException: Could not find config namespace "spark"
            1 AnalysisException: Database not found: testcat
            1 AnalysisException: Failed to parse date '02-29' with format '%m-%d': input is not enough for unique date and time
            1 AnalysisException: No table format found for: xml
            1 AnalysisException: Spark `try_variant_get` function: path must be a constant string
            1 AnalysisException: Table already exists: tbl1
            1 AnalysisException: Temporary View not found: tab2
            1 AnalysisException: UNION queries have different number of columns: left has 3 columns whereas right has 2 columns
            1 AnalysisException: Write failed for partition 0: External error: Python error: [TestArrowWriter::write] AttributeError: 'NoneType' object has no attribute 'partitionId'
            1 AnalysisException: Write failed for partition 0: External error: Python error: [TestJsonWriter::write] AttributeError: 'NoneType' object has no attribute 'partitionId'
            1 AnalysisException: ambiguous attribute: ObjectName([Identifier("b")])
            1 AnalysisException: ambiguous attribute: ObjectName([Identifier("i")])
            1 AnalysisException: array_except received incompatible types: List(non-null Int32), List(Int32)
            1 AnalysisException: attribute ObjectName([Identifier("t")]) is missing from the schema: cannot resolve attribute
            1 AnalysisException: attribute ObjectName([Identifier("x")]) is missing from the schema: cannot resolve attribute
            1 AnalysisException: element_at expects List or Map type as first argument, got Null
            1 AnalysisException: foobar
            1 AnalysisException: join condition should not be empty
            1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#0" }), Literal(Int32(123), None)]
            1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(609457978923740859), None)]
            1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(775747045766696882), None)]
            1 AnalysisException: to_time format argument 2 must be a scalar, not an array
            1 AnalysisException: too big
            1 AnalysisException: unsupported extension node for streaming: PythonWriteNode { input: Projection(Projection { expr: [Column(Column { relation: None, name: "_marker" }), Column(Column { relation: None,...
            1 AnalysisException: zero values expected: [Literal(Int32(123), None)]
            1 AssertionError: "'path' is not specified." does not match "missing path in listing table options"
            1 AssertionError: "ARROW_TYPE_MISMATCH.*SQL_MAP_ARROW_ITER_UDF" does not match "Struct field count mismatch: expected 1 fields but found 2 fields"
            1 AssertionError: "DATA_SOURCE_EXTRANEOUS_FILTERS" does not match "Python error: [test::partitions] AssertionError: assert False
            1 AssertionError: "DATA_SOURCE_PUSHDOWN_DISABLED" does not match "Python error: [<reader>::read] AssertionError: assert False
            1 AssertionError: "Database 'memory:0c456b8d-7a2b-4024-8b40-4989925cb203' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
            1 AssertionError: "Database 'memory:a34501ba-35e7-43ee-8372-dd5abc02ebe0' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
            1 AssertionError: "Invalid return type" does not match " AttributeError: 'Series' object has no attribute 'columns'
            1 AssertionError: "Python worker process terminated due to idle timeout \(timeout: 1 seconds\)" does not match " PySparkRuntimeError: [UDTF_INVALID_OUTPUT_ROW_TYPE] The type of an individual output row ...
            1 AssertionError: "UNRESOLVED_COLUMN.WITH_SUGGESTION" does not match "attribute ObjectName([Identifier("b")]) is missing from the schema: cannot resolve attribute"
            1 AssertionError: "is null" does not match " ArrowException: Invalid argument error: Column 'a' is declared as non-nullable but contains null values
            1 AssertionError: "requirement failed: Cogroup keys must have same size: 2 != 1" does not match "invalid argument: child plan grouping expressions must have the same length"
            1 AssertionError: '+---[1064 chars]---------------------------------+\nonly showing top 20 rows\n' != '+---[1064 chars]---------------------------------+\nonly showing top 20 rows'
            1 AssertionError: '+---[17 chars]-----+\n|                        x|\n+--------[132 chars]-+\n' != '+---[17 chars]----------+\n|update_fields(x, WithField(e))|\[167 chars]-+\n'
            1 AssertionError: '+---[23 chars]---+-----+\n|  1|    1|\n+---+-----+\nonly showing top 1 row' != '+---[23 chars]---+-----+\n|  1|    1|\n+---+-----+\nonly showing top 1 row\n'
            1 AssertionError: 'INVALID_CLONE_SESSION_REQUEST.TARGET_SESSION_ID_FORMAT' not found in '<_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.UNIMPLEMENTED\n\tdetails = "clone session"...
            1 AssertionError: 'ST_INVALID_SRID_VALUE' != None : Expected error class was 'ST_INVALID_SRID_VALUE', got 'None'.
            1 AssertionError: 'UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.UNSUPPORTED_IN_EXISTS_SUBQUERY' != None : Expected error class was 'UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.UNSUPPORTED_IN_EXISTS_SUBQUERY', ...
            1 AssertionError: 'a NULL, b BOOLEAN, c BINARY' != 'a VOID,b BOOLEAN,c BINARY'
            1 AssertionError: 'bytearray' != 'bytes'
            1 AssertionError: 0 not greater than 0
            1 AssertionError: 0.6363787615254752 != 0.9531453492357947 : Column<'rand(1)'>
            1 AssertionError: 6 != 0 : []
            1 AssertionError: ArrayIndexOutOfBoundsException not raised
            1 AssertionError: Exception not raised by <lambda>
            1 AssertionError: Lists differ: [(1, 2), (3, 4), (None, 5), (0, 0)] != [(1, 2), (3, 4), (None, 5), (None, None)]
            1 AssertionError: Lists differ: [Row([22 chars]e(2018, 12, 31, 16, 0), aware=datetime.datetim[16 chars] 0))] != [Row([22 chars]e(2019, 1, 1, 0, 0), aware=datetime.datetime(2[13 chars] 0))]
            1 AssertionError: Lists differ: [Row([259 chars]681098, ln(id)=1.0986122886681098, struct(id, [975 chars]0'))] != [Row([259 chars]681096, ln(id)=1.0986122886681096, struct(id, [975 chars]0'))]
            1 AssertionError: Lists differ: [Row([47 chars] 3, 6: 3}), Row(map={4: 3, 6: 3}), Row(map={4: 5, 6: 3})] != [Row([47 chars] 3, 6: 3, 5: 5}), Row(map={4: 3, 6: 3}), Row(map={4: 3, 6: 3})]
            1 AssertionError: Lists differ: [Row(id=90, name='90'), Row(id=91, name='91'), Ro[176 chars]99')] != [Row(id=15, name='15'), Row(id=16, name='16'), Ro[176 chars]24')]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Andy', ag[374 chars]one)] != [Row(age=19, name='Justin'), Row(age=19, name=[374 chars]el')]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Justin', [34 chars]one)] != [Row(_corrupt_record=' "age":19}\n', name=None[104 chars]el')]
            1 AssertionError: Row(name='Bob', age=10, height=66.0) != Row(name='Alice', age=10, height=10.0)
            1 AssertionError: Row(point='[1.0, 2.0]', pypoint='[3.0, 4.0]') != Row(point='(1.0, 2.0)', pypoint='[3.0, 4.0]')
            1 AssertionError: SparkConnectGrpcException not raised
            1 AssertionError: StorageLevel(False, True, True, False, 1) != StorageLevel(False, False, False, False, 1)
            1 AssertionError: Struc[15 chars]eld('a', NullType(), True), StructField('b', L[51 chars]ue)]) != Struc[15 chars]eld('b', LongType(), True), StructField('c', S[15 chars]ue)])
            1 AssertionError: Struc[23 chars]st', StructType([StructField('value', BinaryTy[194 chars]ue)]) != Struc[23 chars]st', VariantType(), True), StructField('last',[18 chars]ue)])
            1 AssertionError: Struc[30 chars]estampType(), True), StructField('val', IntegerType(), True)]) != Struc[30 chars]estampType(), True), StructField('val', IntegerType(), False)])
            1 AssertionError: Struc[32 chars]e(), False), StructField('b', DoubleType(), Fa[158 chars]ue)]) != Struc[32 chars]e(), True), StructField('b', DoubleType(), Tru[154 chars]ue)])
            1 AssertionError: Struc[40 chars]ue), StructField('val', ArrayType(DoubleType(), False), True)]) != Struc[40 chars]ue), StructField('val', PythonOnlyUDT(), True)])
            1 AssertionError: Struc[99 chars]uct(n, l), x_4)), x_3)))', ArrayType(StructTyp[93 chars]ue)]) != Struc[99 chars]uct(namedlambdavariable() AS n, namedlambdavar[181 chars]se)])
            1 AssertionError: True is not false : Default URL is not secure
            1 AssertionError: VariantType() != StructType([StructField('value', BinaryTy[55 chars]se)])
            1 AssertionError: YearMonthIntervalType(0, 1) != YearMonthIntervalType(0, 0)
            1 AssertionError: [1.0, 2.0] != ExamplePoint(1.0,2.0)
            1 AttributeError: 'NoneType' object has no attribute 'extract_graph'
            1 AttributeError: 'NoneType' object has no attribute 'toText'
            1 DateTimeException: Error parsing timestamp from '082017' using format '%m%Y': input is not enough for unique date and time
            1 DateTimeException: Error parsing timestamp from '2014-31-12' using format '%Y-%d-%pa': input contains invalid characters
            1 FileNotFoundError: [Errno 2] No such file or directory: '/home/runner/work/sail/sail/.venvs/test-spark.spark-4.1.1/lib/python3.11/site-packages/pyspark/data/artifact-tests/junitLargeJar.jar'
            1 FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmp00j_j44_'
            1 IllegalArgumentException: invalid argument: empty data type
            1 IllegalArgumentException: invalid argument: expecting column to drop
            1 IllegalArgumentException: invalid argument: field not found in input schema: col1
            1 IllegalArgumentException: invalid argument: found PARTITION at 100:109 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 103:112 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 108:117 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 111:120 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 117:126 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 118:127 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 53:62 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=',...
            1 IllegalArgumentException: invalid argument: found PARTITION at 69:78 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=',...
            1 IllegalArgumentException: invalid argument: found PARTITION at 90:99 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=',...
            1 IllegalArgumentException: invalid argument: found WITH at 115:119 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=', '!...
            1 IllegalArgumentException: invalid argument: found abc at 0:3 expected something else, ';', statement, or end of input
            1 IllegalArgumentException: invalid argument: found collate at 13:20 expected string, '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|',...
            1 IllegalArgumentException: invalid argument: grouping sets with grouping expressions
            1 IllegalArgumentException: invalid argument: invalid user-defined window function type
            1 IllegalArgumentException: invalid argument: table does not exist: ObjectName([Identifier("test_table")])
            1 IndexError: list index out of range
            1 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (4104fc17-4cf8-4cc5-81ae-54ff0b6ef581 != 061ce1f8-db93-4218-8aed-2...
            1 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (4652ac83-82e9-4c96-b6bc-a8bea82d4d24 != d40144c7-6e1b-4f2e-93b1-d...
            1 PySparkNotImplementedError: [NOT_IMPLEMENTED] Invalid return type with grouped aggregate Pandas UDFs: StructType([StructField('value', BinaryType(), False), StructField('metadata', BinaryType(), False...
            1 PySparkNotImplementedError: [NOT_IMPLEMENTED] toJSON() is not implemented.
            1 PythonException:  AssertionError: Undefined error message parameter for error class: UDTF_ARROW_TYPE_CONVERSION_ERROR. Parameters: {'data': "[('x',)]", 'schema': 'struct<a:int>', 'arrow_schema': 'stru...
            1 PythonException:  AssertionError: Undefined error message parameter for error class: UDTF_ARROW_TYPE_CONVERSION_ERROR. Parameters: {'data': '[(ExamplePoint(10.0,20.0),)]', 'schema': 'struct<point:arra...
            1 PythonException:  AssertionError: Undefined error message parameter for error class: UDTF_ARROW_TYPE_CONVERSION_ERROR. Parameters: {'data': '[(ExamplePoint(10.0,20.0),)]', 'schema': 'struct<udt:array<...
            1 PythonException:  AttributeError: 'NoneType' object has no attribute 'partitionId'
            1 PythonException:  AttributeError: 'list' object has no attribute 'x'
            1 PythonException:  AttributeError: 'list' object has no attribute 'y'
            1 PythonException:  KeyError: 'v'
            1 PythonException:  PySparkRuntimeError: [UDTF_ARROW_TYPE_CAST_ERROR] Cannot convert the output value of the column 'point' with type 'object' to the specified return type of the column: 'list<item: dou...
            1 PythonException:  PySparkRuntimeError: [UDTF_ARROW_TYPE_CAST_ERROR] Cannot convert the output value of the column 'udt' with type 'object' to the specified return type of the column: 'list<item: doubl...
            1 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (int64) with name 'None' to Arrow Array (decimal128(10, 2)).
            1 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (int8) with name 'int8' to Arrow Array (decimal128(10, 0)).
            1 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (int8) with name 'value' to Arrow Array (decimal128(10, 0)).
            1 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (object) with name 'value' to Arrow Array (int32).
            1 PythonException:  TypeError: 'str' object cannot be interpreted as an integer
            1 PythonException:  TypeError: cannot unpack non-iterable NoneType object
            1 PythonException:  ValueError: invalid literal for int() with base 10: 'z'
            1 SparkRuntimeException: Exception: path is not specified
            1 SparkRuntimeException: Execution error: Schema field count mismatch: expected 1 fields, got 2
            1 SparkRuntimeException: Internal error: Cannot run range queries on datatype: Time64(µs).
            1 SparkRuntimeException: Invalid argument error: Column '#3' is declared as non-nullable but contains null values
            1 SparkRuntimeException: Invalid argument error: column types must match schema types, expected List(Struct("value": non-null Binary, "metadata": non-null Binary, metadata: {"variant": "true"}), metadat...
            1 SparkRuntimeException: Json error: Not valid JSON: EOF while parsing a list at line 1 column 1
            1 SparkRuntimeException: Json error: Not valid JSON: expected value at line 1 column 2
            1 SparkRuntimeException: No field named t1."#0". Did you mean '#2'?.
            1 SparkRuntimeException: Parser error: Error while parsing value '0
            1 SparkRuntimeException: Parser error: Invalid timezone "+7:30": failed to parse timezone
            1 SparkRuntimeException: Python error: [TestDataSource::writer] PySparkNotImplementedError: [NOT_IMPLEMENTED] writer is not implemented.
            1 SparkRuntimeException: Python error: [my-json::writer] AttributeError: 'pyarrow.lib.Schema' object has no attribute 'fieldNames'
            1 SparkRuntimeException: Python error: [test::partitions] AssertionError: assert False
            1 SparkRuntimeException: Python error: [testdatasourcepyarrow::partitions] PySparkNotImplementedError: [NOT_IMPLEMENTED] reader is not implemented.
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: List { data_type: Int32, nullable: true }. Use PyArrow Schema for complex types.
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: Struct { fields: Fields([Field { name: "a", data_type: Int32, nullable: true, metadata: [] }, Field { name: "b", data_type: Int32, ...
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: Struct { fields: Fields([Field { name: "y", data_type: Int32, nullable: true, metadata: [] }]) }. Use PyArrow Schema for complex ty...
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: Variant. Use PyArrow Schema for complex types.
            1 SparkRuntimeException: This feature is not implemented: Data type Decimal128(38, 18) not supported in row-based write path. Use DataSourceArrowWriter for full type support.
            1 SparkRuntimeException: This feature is not implemented: Unsupported CAST from Map("entries": non-null Struct("key": non-null Int32, "value": non-null Int32), unsorted) to Null
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@42nxldcwlikpshede68hki4hd(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@42nxldcwlikpshede68hki4hd(plus_one@37pn5wx7sqmlbvfr2ebnbd6a0(#9)) PART...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@9iphoaj9v2becke5sqyqokbpc(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@9iphoaj9v2becke5sqyqokbpc(plus_one@8f9fwaevnfdj031wzemmraerh(#9)) PART...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: weighted_mean@1h5j8ehtp238nduw020pdafyp(#9, #10) PARTITION BY [#8] ORDER B...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: weighted_mean@1z16p7g8orl8a73u97f1704fz(#9, #10) PARTITION BY [#8] ORDER B...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: weighted_mean@5lgtucrfqmvjc9hq9885z0x6d(#9, #10) PARTITION BY [#8] ORDER B...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: weighted_mean@bqv855sdysxo4klnvnyi7f0v3(#9, #10) PARTITION BY [#8] ORDER B...
            1 UnsupportedOperationException: LATERAL table function with criteria
            1 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#1", data_type: Int32, nullable: true }, Column { relation: Some(Bare { table: "t1"...
            1 UnsupportedOperationException: Physical plan does not support logical expression ScalarSubquery(<subquery>)
            1 UnsupportedOperationException: Physical plan does not support undecorrelated Subquery
            1 UnsupportedOperationException: PlanNode::ClearCache
            1 UnsupportedOperationException: PlanNode::IsCached
            1 UnsupportedOperationException: PlanNode::RecoverPartitions
            1 UnsupportedOperationException: SHOW FUNCTIONS
            1 UnsupportedOperationException: Support for 'approx_distinct' for data type Float64 is not implemented
            1 UnsupportedOperationException: Support for 'approx_distinct' for data type Struct("name": Utf8, metadata: {"SPARK::metadata::json": "{}"}, "value": Int64, metadata: {"SPARK::metadata::json": "{}"}) is...
            1 UnsupportedOperationException: Unsupported CAST from Struct("c": Int64, metadata: {"SPARK::metadata::json": "{}"}, "d": Float64, metadata: {"SPARK::metadata::json": "{}"}) to Struct("a": Int64, metada...
            1 UnsupportedOperationException: Unsupported CAST from Struct("value": non-null Binary, "metadata": non-null Binary) to Int32
            1 UnsupportedOperationException: apply in pandas with state
            1 UnsupportedOperationException: as of join
            1 UnsupportedOperationException: bucketing for writing listing table format
            1 UnsupportedOperationException: deduplicate within watermark
            1 UnsupportedOperationException: function: collate
            1 UnsupportedOperationException: function: collation
            1 UnsupportedOperationException: function: input_file_block_length
            1 UnsupportedOperationException: function: input_file_block_start
            1 UnsupportedOperationException: function: java_method
            1 UnsupportedOperationException: function: map_filter
            1 UnsupportedOperationException: function: map_zip_with
            1 UnsupportedOperationException: function: reflect
            1 UnsupportedOperationException: function: schema_of_xml
            1 UnsupportedOperationException: function: session_window
            1 UnsupportedOperationException: function: transform_keys
            1 UnsupportedOperationException: function: transform_values
            1 UnsupportedOperationException: function: try_reflect
            1 UnsupportedOperationException: function: zip_with
            1 UnsupportedOperationException: handle analyze semantic hash
            1 UnsupportedOperationException: unknown function: RANGE
            1 UnsupportedOperationException: unknown function: unwrap_udt
            1 ValueError: The column label 'id' is not unique.
            1 ValueError: The column label 'struct' is not unique.
            1 handle add artifacts

Passed Tests Diff

(empty)

Failed Tests

pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.cacheTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.clearCache
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.createTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.functionExists
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.getFunction
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.isCached
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.listFunctions
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.recoverPartitions
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.refreshByPath
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.refreshTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.uncacheTable
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame._joinAsOf
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.approxQuantile
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.asTable
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.cache
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.colRegex
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.dropDuplicatesWithinWatermark
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.explain
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.freqItems
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.groupingSets
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.hint
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.inputFiles
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.lateralJoin
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.localCheckpoint
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.observe
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.pandas_api
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.persist
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.randomSplit
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.repartitionById
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.repartitionByRange
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.sameSemantics
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.sampleBy
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.storageLevel
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.toJSON
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.transpose
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.withWatermark
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrameStatFunctions.approxQuantile
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrameStatFunctions.freqItems
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrameStatFunctions.sampleBy
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.approx_count_distinct
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.approx_percentile
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.collation
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.corr
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.cosh
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.degrees
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.exp
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.first
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.from_json
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.from_xml
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.get_json_object
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.hash
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.histogram_numeric
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.inline_outer
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.input_file_block_length
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.input_file_block_start
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.input_file_name
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.java_method
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_agg_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_agg_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_agg_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_n_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_n_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_n_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_quantile_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_quantile_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_quantile_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_rank_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_rank_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_rank_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_merge_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_merge_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_merge_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_to_string_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_to_string_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_to_string_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.log2
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.map_filter
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.map_zip_with
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.percentile_approx
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.reflect
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.schema_of_csv
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.schema_of_xml
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.session_window
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.shuffle
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.sin
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.st_setsrid
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.st_srid
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.tan
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.to_time
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.to_xml
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.transform_keys
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.transform_values
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_add
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_avg
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_make_interval
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_make_timestamp
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_parse_url
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_reflect
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_subtract
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_to_date
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_to_time
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_variant_get
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.udf
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.unwrap_udt
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.uuid
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.variant_get
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.window
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.xxhash64
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.zip_with
pyspark/sql/tests/connect/arrow/test_parity_arrow.py::ArrowParityTests::test_createDataFrame_pandas_duplicate_field_names
pyspark/sql/tests/connect/arrow/test_parity_arrow.py::ArrowParityTests::test_pandas_self_destruct
pyspark/sql/tests/connect/arrow/test_parity_arrow.py::ArrowParityTests::test_toPandas_duplicate_field_names
pyspark/sql/tests/connect/arrow/test_parity_arrow_cogrouped_map.py::CogroupedMapInArrowParityTests::test_cogroup_apply_in_arrow_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_grouped_map.py::ApplyInArrowParityTests::test_apply_in_arrow_iter_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_grouped_map.py::ApplyInArrowParityTests::test_apply_in_arrow_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_map.py::ArrowMapParityTests::test_map_in_arrow_with_barrier_mode
pyspark/sql/tests/connect/arrow/test_parity_arrow_map.py::ArrowMapParityTests::test_map_in_arrow_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_map.py::ArrowMapParityTests::test_nested_extraneous_field
pyspark/sql/tests/connect/arrow/test_parity_arrow_map.py::ArrowMapParityTests::test_nullability_widen
pyspark/sql/tests/connect/arrow/test_parity_arrow_map.py::ArrowMapParityTests::test_top_level_wrong_order
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_chained_udfs_with_variant
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_day_time_interval_in_struct
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_day_time_interval_type_casting
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_multiple_udfs_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_cache
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_kill_on_timeout
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_char_varchar_return_type
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_collated_string_types
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_pyspark_logger
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_udt
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_chained_udfs_with_variant
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_day_time_interval_in_struct
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_day_time_interval_type_casting
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_multiple_udfs_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_cache
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_kill_on_timeout
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_char_varchar_return_type
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_collated_string_types
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_pyspark_logger
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_udt
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_chained_udfs_with_variant
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_day_time_interval_in_struct
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_day_time_interval_type_casting
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_multiple_udfs_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_cache
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_kill_on_timeout
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_char_varchar_return_type
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_collated_string_types
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_pyspark_logger
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_udt
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_chained_udfs_with_variant
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_multiple_udfs_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_binary_type
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_binary_type_in_nested_structures
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_cache
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_kill_on_timeout
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_char_varchar_return_type
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_collated_string_types
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_complex_variant_input
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_pyspark_logger
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_udt
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf.py::ArrowPythonUDFParityTests::test_arrow_udf_basic_with_return_type_string
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf.py::ArrowPythonUDFParityTests::test_arrow_udf_wrong_arg
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_grouped_agg.py::GroupedAggArrowPythonUDFParityTests::test_grouped_agg_arrow_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_grouped_agg.py::GroupedAggArrowPythonUDFParityTests::test_input_output_variant
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pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_arrow_cast_enabled_numeric_to_decimal
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_arrow_cast_enabled_str_to_numeric
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_scalar_iter_pandas_udf_with_logging
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_scalar_iter_udf_init
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_scalar_pandas_udf_with_logging
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_udafs_with_complex_variant_input
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_udafs_with_complex_variant_output
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_udafs_with_variant_output
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_vectorized_udf_check_config
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_vectorized_udf_invalid_length
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_arrow_cast_numeric_to_decimal
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_arrow_cast_str_to_numeric
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_bounded_mixed
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_bounded_simple
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_invalid_args
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_kwargs
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTes

(truncated)

[github-actions]

Warning

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Ibis Test Report

Commit Information

Commit	Revision	Branch
After	8abaf05	refs/pull/22/merge
Before	8abaf05	refs/pull/22/merge

Test Summary

Suite	Commit	Failed	Passed	Skipped	Warnings	Time (s)
test-ibis	After	38	1534	166	4510	146.25
	Before	38	1534	166	4510	146.25

Test Details

Error Counts

           39 Total
           26 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
            5 IllegalArgumentException: invalid argument: found TRUNCATE at 0:8 expected something else, ';', statement, or end of input
            4 AssertionError: Series are different
            2 AnalysisException: Internal error: Function 'approx_percentile_cont' failed to match any signature, errors: Error during planning: Function 'approx_percentile_cont' requires Float64, but received List...
            2 AssertionError
            2 AssertionError: DataFrame.iloc[:, 0] (column name="result_col") are different
            2 DateTimeException: Error parsing timestamp from '01/01/09' using format '%-%-M/%-d/%y': bad or unsupported format string
            2 IllegalArgumentException: invalid argument: found PARTITIONS at 5:15 expected 'DATABASES', 'SCHEMAS', 'NAMESPACES', 'CATALOGS', 'TABLES', 'TABLE', 'CREATE', 'COLUMNS', 'VIEWS', or 'FUNCTIONS'
            2 assert ibis.Schema {... float64\n} == ibis.Schema {... float64\n} Full diff: ibis.Schema { carat float64 cut string color string clarity string depth float64 table float64 - price int32 ? ^^ + price i...
            1 AnalysisException: Catalog not found: local
            1 AnalysisException: Database not found: ibis_database_dfapnt4j6fadxbgjcenoz6tzam
            1 AnalysisException: error in SQL parser: found : at 2:3 expected '0', '1', '2', '3', '4', '5', '6', '7', '8', or '9'
            1 AssertionError: DataFrame.iloc[:, 0] (column name="id") are different
            1 AssertionError: DataFrame.iloc[:, 1] (column name="collect_udf") are different
            1 AssertionError: Series NA mask are different
            1 AssertionError: assert 'ibis_cached_soc7zhm4ybefjbzxqczsl4ks3m' not in ['array_types', 'astronauts', 'awards_players', 'basic_table', 'batting', 'complicated', ...]
            1 Failed: DID NOT RAISE <class 'pyspark.errors.exceptions.base.AnalysisException'>
            1 SparkRuntimeException: Cast error: Casting from Date32 to Float64 not supported
            1 SparkRuntimeException: Error during planning: expr type Struct("StructColumn({'x': xs, 'y': ys})": non-null Struct("x": non-null Int32, "y": non-null Int32)) can't cast to Struct("x": Int64, metadata:...
            1 TypeError: Cannot convert pyarrow.lib.ChunkedArray to pyarrow.lib.Array
            1 UnsupportedOperationException: CommandNode::AnalyzeTable
            1 UnsupportedOperationException: Physical plan does not support logical expression AggregateFunction(AggregateFunction { func: AggregateUDF { inner: ArrayAgg { signature: Signature { type_signature: Any...
            1 UnsupportedOperationException: Physical plan does not support logical expression InSubquery(InSubquery { expr: Column(Column { relation: Some(Bare { table: "t0" }), name: "#0" }), subquery: <subquery>...
            1 UnsupportedOperationException: Physical plan does not support logical expression InSubquery(InSubquery { expr: Column(Column { relation: Some(Bare { table: "t0" }), name: "#1" }), subquery: <subquery>...
            1 UnsupportedOperationException: unsupported ALTER TABLE operation
            1 assert frozenset({None}) == frozenset({None, 47}) Extra items in the right set: 47 Full diff: frozenset({ None, - 47, })
            1 assert {0.0, 1.0, 2.0, 3.0} == {1, 2, 3} Extra items in the left set: 0.0 Full diff: { + 0.0, - 1, + 1.0, ? ++ - 2, + 2.0, ? ++ - 3, + 3.0, ? ++ }

Passed Tests Diff

(empty)

Failed Tests

ibis/backends/pyspark/tests/test_basic.py::test_group_by
ibis/backends/pyspark/tests/test_client.py::test_catalog_db_args
ibis/backends/pyspark/tests/test_client.py::test_create_table_with_partition_and_catalog
ibis/backends/pyspark/tests/test_client.py::test_create_table_with_partition_no_catalog
ibis/backends/pyspark/tests/test_ddl.py::test_compute_stats
ibis/backends/pyspark/tests/test_ddl.py::test_drop_non_empty_database
ibis/backends/pyspark/tests/test_ddl.py::test_insert_table
ibis/backends/pyspark/tests/test_ddl.py::test_truncate_table
ibis/backends/tests/test_aggregation.py::test_aggregate_list_like[pyspark-list]
ibis/backends/tests/test_aggregation.py::test_aggregate_list_like[pyspark-ndarray]
ibis/backends/tests/test_aggregation.py::test_aggregate_mixed_udf[pyspark]
ibis/backends/tests/test_aggregation.py::test_approx_quantile[pyspark-True-False]
ibis/backends/tests/test_aggregation.py::test_approx_quantile[pyspark-True-True]
ibis/backends/tests/test_aggregation.py::test_date_quantile[pyspark]
ibis/backends/tests/test_aggregation.py::test_group_concat_over_window[pyspark]
ibis/backends/tests/test_client.py::test_insert_overwrite_from_dataframe[pyspark]
ibis/backends/tests/test_client.py::test_insert_overwrite_from_expr[pyspark]
ibis/backends/tests/test_client.py::test_insert_overwrite_from_list[pyspark]
ibis/backends/tests/test_client.py::test_rename_table[pyspark]
ibis/backends/tests/test_expr_caching.py::test_persist_expression_contextmanager[pyspark]
ibis/backends/tests/test_expr_caching.py::test_persist_expression_release[pyspark]
ibis/backends/tests/test_expr_caching.py::test_persist_expression_repeated_cache[pyspark]
ibis/backends/tests/test_generic.py::test_isin_uncorrelated[pyspark]
ibis/backends/tests/test_generic.py::test_isin_uncorrelated_simple[pyspark]
ibis/backends/tests/test_io.py::test_read_csv[pyspark-default]
ibis/backends/tests/test_io.py::test_read_csv[pyspark-file_name]
ibis/backends/tests/test_join.py::test_join_with_pandas[pyspark]
ibis/backends/tests/test_json.py::test_json_getitem_array[pyspark]
ibis/backends/tests/test_struct.py::test_field_overwrite_always_prefers_unpacked[pyspark]
ibis/backends/tests/test_struct.py::test_isin_struct[pyspark]
ibis/backends/tests/test_struct.py::test_single_field[pyspark-a]
ibis/backends/tests/test_struct.py::test_single_field[pyspark-b]
ibis/backends/tests/test_struct.py::test_single_field[pyspark-c]
ibis/backends/tests/test_temporal.py::test_delta[pyspark-time]
ibis/backends/tests/test_temporal.py::test_string_as_date[pyspark-mysql_format]
ibis/backends/tests/test_temporal.py::test_string_as_timestamp[pyspark-mysql_format]
ibis/backends/tests/test_window.py::test_ungrouped_unbounded_window[pyspark-unordered-lag]
ibis/backends/tests/test_window.py::test_ungrouped_unbounded_window[pyspark-unordered-lead]