apache/dolphinscheduler - Open Source PR Review Scorecard

Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code

C-Rank Grade: A (Welcoming) - 59/100

External PR Merge Rate: 9%

Response Time: -

First Timer Success: 18%

Frequently Asked Questions

Is apache/dolphinscheduler welcoming to first-time open-source contributors?

apache/dolphinscheduler has a recorded first-timer success rate of 18.2%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in apache/dolphinscheduler respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 59.1 C-Rank™ score (A Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 59.1 places apache/dolphinscheduler in the A tier.

What is the external contributor pull request merge rate for apache/dolphinscheduler?

The external contributor pull request merge rate for apache/dolphinscheduler is 9.2%, based on public PR activity from non-core contributors.

Are there Good First Issues available in apache/dolphinscheduler?

apache/dolphinscheduler currently has 4 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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apache/dolphinscheduler

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Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Active maintainer team in apache/dolphinscheduler welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with repository style conventions
  • •Keep PRs focused and well-documented

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without context
  • •Do not break existing automated test suites
Response Velocity
-
No reviewer activity recorded

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
9.2%
Selective PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
18.2%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
30 core
Highly collaborative maintainer core
Diagnostic Health HUD
9.2%
Merge Gauge
18.2%
1st-Timer
Community Vibe9/100

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Active Good First Issues (5)

View on GitHub

Search before asking I had searched in the issues and found no similar feature requirement. Description The API time out as below: http://xx.xx.xx.xx:12345/dolphinscheduler/projects/xxx/task-instances?pageSize=10&pageNo=1&searchVal=&taskCode=&workflowInstanceId=&host=&stateType=&startDate=&endDate=&executorName=&workflowInstanceName= When the number of task instances exceeds a certain threshold, data loading times out (after 10 seconds) upon accessing the task instance page. the SQL of time out I found: SELECT COUNT(*) FROM t_ds_task_instance WHERE project_code = xxx AND task_execute_type = 0; I added an index for table t_ds_task_instance: ALTER TABLE dolphinscheduler.t_ds_task_instance ADD INDEX idx_project_type_submit_time (project_code, task_execute_type, submit_time DESC), ALGORITHM=INPLACE, LOCK=NONE; time out issue fixed. When I continue to search Task Instance data with task instance name or workflow instance name, The timeout issue has cropped up again. The flowing

📅 Opened Oct 13, 2026💬 6 comments
Quality: 90/100Contribute

Search before asking I searched the repository's issues and pull requests and did not find a direct report of the re-login behavior described below. Related reports are linked below. What happened There appears to be an inverted expiry condition in SessionServiceImpl#createSessionIfAbsent in 3.4.3 and the current dev branch. Please confirm whether this is a regression or intentional login policy. The method currently: Refreshes and reuses the existing session when isSessionExpire(session) is true. Deletes the existing session and creates a new session when it is false. However, isSessionExpire returns true when the elapsed time is greater than or equal to the session timeout. This means an unexpired session is invalidated on another successful login, whereas an expired session ID is refreshed and reused. For a user logging in through a second browser/device, the source-level consequence is that the first browser's valid session ID is deleted. This report concerns that behavior and

📅 Opened Oct 13, 2026💬 5 comments
Quality: 90/100Contribute

Search before asking I had searched in the issues and found no similar feature requirement. Description Using NORMAL_JAR or FAT_JAR is very powerful, but it can be a bit cumbersome at times. It would be great if we could support running a snippet of JShell code. Are you willing to submit a PR? Yes I am willing to submit a PR! Code of Conduct I agree to follow this project's Code of Conduct

📅 Opened Sep 11, 2026💬 1 comment
Quality: 50/100Contribute

Search before asking I searched the existing issues and found no issue reporting the same status transition. What happened After a failed task instance is manually set to forced success, its state is correctly changed to FORCED_SUCCESS. If the workflow instance is then recovered using "Recovery Failed": the forced-success task is skipped as expected; downstream tasks continue to run; but the state of the forced-success task instance is changed from FORCED_SUCCESS to SUCCESS. The workflow can continue normally, but the information indicating that the task was completed through manual intervention is lost. The task then appears to have completed successfully through normal execution. This behavior was reproduced on a deployment based on 3.4.2 and was also confirmed in the current dev branch source code. What you expected to happen After recovering the failed workflow: the forced-success task should be treated as successful for dependency and workflow topology evaluation; downstream

📅 Opened Sep 1, 2026💬 2 comments
Quality: 75/100Contribute

Search before asking I had searched in the issues and found no similar issues. What happened When a Dependent task is configured with Dependent Type set to Dependent On Task and Task Name set to ALL, the task fails while processing the dependency result: java.lang.IllegalArgumentException: Invalid key format at org.apache.dolphinscheduler.plugin.task.api.model.DependentItem.fromKey(DependentItem.java:48) at org.apache.dolphinscheduler.server.master.engine.executor.plugin.dependent.DependentTaskTracker.isAllDependentTaskFinished(DependentTaskTracker.java:245) The generated task parameters contain depTaskCode: -1: { "dependentType": "DEPENDENT_ON_TASK", "projectCode": 1001, "definitionCode": 2001, "depTaskCode": -1, "cycle": "day", "dateValue": "today", "parameterPassing": false } In the official dev branch, the UI assigns -1 to the ALL option: taskList.unshift({ value: -1, label: 'ALL', filterLabel: 'ALL' }) DependentItem#getKey() then produces a key simi

📅 Opened Aug 21, 2026💬 0 comments
Quality: 50/100Contribute
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Contributor Compatibility & Review Speed Analysis for apache/dolphinscheduler

When evaluating whether to contribute to apache/dolphinscheduler, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of apache/dolphinscheduler acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 9.2% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to apache/dolphinscheduler

01

Is apache/dolphinscheduler welcoming to first-time open-source contributors?

apache/dolphinscheduler has a recorded first-timer success rate of 18.2%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 59.1 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 59.1 places apache/dolphinscheduler in the Welcoming tier.

04

What is the external contributor pull request merge rate for apache/dolphinscheduler?

The external pull request merge rate is 9.2%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in apache/dolphinscheduler?

Yes, apache/dolphinscheduler currently has 4 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for apache/dolphinscheduler are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.