[SPARK-55878][UI] Add Job Timeline to SQL execution detail page#55050
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yaooqinn wants to merge 1 commit intoapache:masterfrom
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[SPARK-55878][UI] Add Job Timeline to SQL execution detail page#55050yaooqinn wants to merge 1 commit intoapache:masterfrom
yaooqinn wants to merge 1 commit intoapache:masterfrom
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pan3793
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Mar 27, 2026
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add a switch for this feature (either using spark.ui.timelineEnabled introduced by SPARK-39440 or a new one is fine), beacuse timeline panel might be time consuming -this was observered at least in Job page and Stage Details page.
Add a vis-timeline Gantt chart showing job start/end times within a SQL execution. Reuses the existing drawApplicationTimeline function and vis-timeline library from the Jobs page. Features: - Shows each job as a colored bar (green=succeeded, red=failed, blue=running) - Tooltip with job description, status, and duration on hover - Click job bar to navigate to job detail page - Collapsible with expand/collapse toggle (same as Jobs page Event Timeline) - Zoom lock checkbox for timeline navigation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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@pan3793 added, although we have limited jobs on a single query |
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ScreenshotAssociated Jobs section — timeline Gantt chart above jobs table: Shows 3 jobs with vis-timeline bars (Job 15: 17ms, Job 16: 0.8s, Job 17: 72ms) plus the sortable jobs table below. Timeline respects |
dongjoon-hyun
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+1, LGTM. Thank you, @yaooqinn .
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What changes were proposed in this pull request?
Add a vis-timeline Gantt chart to the SQL execution detail page showing job start/end times within a SQL execution.
drawApplicationTimelinefunction and vis-timeline libraryWhy are the changes needed?
Understanding job-level parallelism and sequencing within a SQL execution is important for performance analysis. The timeline shows which jobs ran in parallel, where there were idle gaps, and which job was the longest-running bottleneck.
Does this PR introduce any user-facing change?
Yes — new "Job Timeline" section on the SQL execution detail page.
How was this patch tested?
Manual testing with TPC-DS SF100 queries. Screenshot verified.
Was this patch authored or co-authored using generative AI tooling?
Generated-by: GitHub Copilot (Claude Opus 4.6)