Quantify commits

Quantified Commit Activity Over 30 Days

Developer	Avatar	Branches	PRs	Commits	Files	Changes
Eduard Tudenhoefner		1	12/7/1	7	226	45656
Thang Long Vu		1	16/12/0	13	51	6014
Qianru Lao		1	4/4/0	4	34	2902
Zihao Xu		2	7/4/3	4	11	2004
Zhipeng Mao		1	9/8/0	8	29	1652
Venki Korukanti		4	14/11/0	11	57	1629
Scott Sandre		6	8/5/1	8	11	1533
Allison Portis		2	15/6/0	7	34	1227
Lukas Rupprecht		1	3/3/0	3	34	1226
Dhruv Arya		1	4/2/0	3	23	714
Lin Zhou		2	3/3/0	3	8	637
Annie Wang		1	1/1/0	1	1	592
Yumingxuan Guo		1	3/2/0	2	9	522
Rakesh Veeramacheneni		1	1/1/0	1	12	477
Carmen Kwan		1	0/0/0	1	10	457
Lars Kroll		1	2/2/0	2	5	393
Amogh Jahagirdar		1	5/3/1	3	8	385
Christos Stavrakakis		1	2/2/0	2	9	197
richardc-db		1	4/1/1	1	23	171
Sumeet Varma		1	1/1/0	1	3	159
Jun		1	1/1/0	2	4	82
Chirag Singh		1	2/1/1	1	3	81
Fred Storage Liu		1	3/3/0	3	5	79
jackierwzhang		1	1/1/0	1	3	64
Johan Lasperas		1	4/1/0	1	3	63
Krishnan Paranji Ravi		1	0/0/0	1	3	44
Felipe Pessoto		1	0/0/0	2	5	44
Juliusz Sompolski		1	1/1/0	1	6	43
leonwind-db		1	2/2/0	2	4	34
Robert Dillitz		1	2/2/0	2	2	32
Taiga Matsumoto		1	1/1/0	1	4	26
Charlene Lyu		2	3/2/0	2	4	19
Yuya Ebihara		1	2/2/0	2	3	10
Prakhar Jain		1	1/1/0	1	1	8
Andreas Chatzistergiou		1	2/1/0	1	1	5
Yan Zhao		1	0/0/0	1	1	4
Ming DAI		1	1/1/0	1	1	4
Tathagata Das (tdas)		0	1/0/1	0	0	0
Fokko Driesprong (Fokko)		0	1/0/0	0	0	0
None (Sovima)		0	2/0/0	0	0	0
Min Yang (minyyy)		0	0/0/1	0	0	0
Avril Aysha (avriiil)		0	1/0/0	0	0	0
Pinky Gautam (ppkgtmm)		0	1/0/0	0	0	0
jintao shen (dabao521)		0	1/0/0	0	0	0
Liwen Sun (liwensun)		0	1/0/0	0	0	0
Wenchen Fan (cloud-fan)		0	2/0/0	0	0	0
Boxuan Li (li-boxuan)		0	1/0/0	0	0	0
Marko Ilić (ilicmarkodb)		0	3/0/0	0	0	0
Rajesh Parangi (rajeshparangi)		0	2/0/1	0	0	0
Tulio Cavalcanti (tuliocavalcanti)		0	1/0/0	0	0	0

_{PRs: created by that dev and opened/merged/closed-unmerged during the period}

Quantify Issues

Recent GitHub Issues Activity

_{Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.}

Report On: Fetch issues

Recent Activity Analysis

The Delta Lake project has seen considerable activity on GitHub, with a total of 546 open issues. Recent submissions indicate a mix of feature requests and bug reports, reflecting ongoing development and user engagement. Notably, several issues highlight performance concerns, particularly regarding the handling of large datasets and the efficiency of operations like OPTIMIZE and MERGE.

A recurring theme among the recent issues is the need for enhancements to existing features, particularly around schema evolution, data skipping, and improved error handling. There are also multiple requests for better documentation and support for new data types, which suggests that users are actively seeking to leverage Delta Lake's capabilities in more complex scenarios.

Issue Details

Recently Created Issues

1. Issue #3565: [Feature Request] [Spark] OPTIMIZE DRY RUN

   • Priority: Enhancement
   • Status: Open
   • Created: 4 days ago

2. Issue #3556: Upgrade AWS Java SDK to v2

   • Priority: Enhancement
   • Status: Open
   • Created: 5 days ago

3. Issue #3554: [Feature Request] Support commit callback

   • Priority: Enhancement
   • Status: Open
   • Created: 6 days ago

4. Issue #3538: [BUG] Delta Table with special Character in Column Name.

   • Priority: Bug
   • Status: Open
   • Created: 6 days ago

5. Issue #3496: [BUG] [Spark] Permission issues in reading _delta_log

   • Priority: Bug
   • Status: Open
   • Created: 13 days ago

Recently Updated Issues

1. Issue #3556 (Updated): Upgrade AWS Java SDK to v2

   • Last updated 5 days ago.

2. Issue #3495 (Updated): [Feature Request] Bucketing implementation in Delta Lake

   • Last updated 11 days ago.

3. Issue #3471 (Updated): [Protocol] Column Invariants definition clarification

   • Last updated 12 days ago.

4. Issue #3406 (Updated): [Feature Request] Support Coordinated Commits in Delta Kernel

   • Last updated 3 days ago.

5. Issue #2822 (Updated): [Feature Request] Make delta.dataSkippingStatsColumns more lenient for nested columns

   • Last updated 1 day ago.

Analysis of Notable Issues

• The request for an OPTIMIZE DRY RUN option (#3565) indicates users are looking for ways to assess potential optimizations without executing them, which could help in planning resource usage.

• The upgrade of the AWS Java SDK (#3556) is critical as it relates to security and performance; with v1 entering maintenance mode, this transition is vital for long-term viability.

• The bug related to special characters in column names (#3538) highlights potential limitations in data ingestion processes that could affect user experience and data integrity.

• The permission issues when reading _delta_log (#3496) suggest underlying problems with access controls or configurations that could hinder operational efficiency, particularly in cloud environments.

Conclusion

The recent activity on Delta Lake's GitHub repository reflects a vibrant community engaged in both enhancing the functionality of the platform and addressing critical bugs. The focus on performance improvements and feature requests indicates a strong demand for robust data management capabilities that can handle increasingly complex datasets and use cases.

Report On: Fetch pull requests

Overview

The dataset contains a comprehensive list of pull requests (PRs) for the Delta Lake project, with a total of 243 open PRs. The PRs cover various aspects of the project, including enhancements, bug fixes, and documentation updates across different components like Spark, Kernel, and Delta Sharing.

Summary of Pull Requests

1. PR #3582: Open up APIs to access all Delta configs and features.

   • State: Open
   • Significance: Introduces an API for developers to access all configurations and features available in Delta.
   • Notable: Includes new unit tests.

2. PR #3581: Fix compilation issues on Spark master.

   • State: Open
   • Significance: Addresses compilation issues caused by changes in Spark's Column constructor.
   • Notable: Relies on existing tests for validation.

3. PR #3580: Add Delta Connect Merge Server and Scala Client.

   • State: Open
   • Significance: Adds support for merge operations in the Delta Connect Server and Scala Client.
   • Notable: Includes unit tests.

4. PR #3579: Add timestamp_ntz to Delta Sharing reader feature header.

   • State: Open
   • Significance: Enhances Delta Sharing capabilities by adding support for timestamp_ntz.
   • Notable: Unit tested.

5. PR #3577: Improve missing stats column message for unsupported data skipping types.

   • State: Open
   • Significance: Improves error messaging related to unsupported data skipping types in clustering columns.
   • Notable: Feedback from reviewers on naming conventions.

6. PR #3576: Remove waiting for a fixed time for the Delta Connect Server to get ready in testing.

   • State: Open
   • Significance: Enhances testing reliability by removing fixed wait times.
   • Notable: Utilizes existing unit tests.

7. PR #3575: Try (unspecified changes).

   • State: Open
   • Significance: Unclear from the description; appears to be exploratory or experimental.

8. PR #3574: Add Delta Connect Commands Vacuum, UpgradeTableProtocol, and Generate.

   • State: Open
   • Significance: Introduces new commands to the Delta Connect API.
   • Notable: Unit tests included.

9. PR #3573: Block alter command from overriding or unsetting coordinated commits properties.

   • State: Open
   • Significance: Enforces rules around coordinated commits during table alterations.
   • Notable: Includes unit tests.

10. PR #3572: Fix Vacuum test code to make use of artificial clock everywhere.

    • State: Open
    • Significance: Refactors vacuum test code for consistency and reliability.
    • Notable: Focuses on test improvements.

11. PR #3571: Run only the Python tests to verify they work for a specific issue (#3510).

    • State: Open
    • Significance: Aimed at validating Python tests specifically against a known issue.

12. PR #3567-3566 & PR #3564-3560 & PR #3559-3558 & PR #3557-3555 & PR #3553-3552 & PR #3551-3550 & PR #3549-3548 & PR #3547-3546 & PR #3545-3544 & PR #3543-3542 & PR #3541-3540 & PR #3539-3538 & PR #3537-3536 & PR #3535-3534 & PR #3533-3532 & PR #3531-3530 & PR #3529-3528 & PR #3527-3526 & PR #3525-3524 & PR #3523-3522 & PR #3521-3520

    • These include various bug fixes, enhancements, and documentation updates across multiple components of the project.

Analysis of Pull Requests

The pull requests demonstrate several key themes:

1. Enhancements to APIs and Features: Many recent pull requests focus on expanding the API capabilities of Delta Lake, particularly around Delta Connect functionality (e.g., merging, vacuuming, and schema management). For instance, PRs like #3580 and #3574 introduce significant new features that enhance usability for developers working with Delta tables.

2. Bug Fixes and Compilation Issues: A notable number of pull requests address compilation issues arising from changes in dependencies (e.g., Spark). For example, PRs like #3581 directly address these issues by modifying code to align with updated APIs or fixing broken functionality due to upstream changes.

3. Testing Improvements: There is a strong emphasis on improving testing practices within the project. Several pull requests (e.g., PRs like #3576 and others) focus on refining test cases, enhancing reliability through better practices like using artificial clocks, or adding new test suites that cover edge cases related to identity columns or backfilling operations.

4. Documentation Updates: The project continues to evolve its documentation alongside code changes. Pull requests such as those addressing links in documentation or clarifying usage instructions reflect ongoing efforts to maintain high-quality resources for users and contributors alike.

5. Community Engagement: The presence of review comments indicates active participation from multiple contributors, showcasing a collaborative environment where feedback is welcomed and integrated into the development process.

6. User-Facing Changes: Several pull requests introduce user-facing changes that enhance functionality while ensuring backward compatibility with existing features (e.g., coordinated commits). This balance is crucial for maintaining user trust while evolving the platform's capabilities.

Overall, the current set of pull requests reflects a dynamic development environment focused on enhancing functionality, improving reliability through rigorous testing practices, and ensuring that documentation keeps pace with code changes—all essential elements for a successful open-source project like Delta Lake.

Report On: Fetch commits

Repo Commits Analysis

Development Team and Recent Activity

Team Members and Their Recent Activities

1. Fred Storage Liu (lzlfred)

• Recent Commits:
  • 3 days ago: Implemented logical column names as physical names for Iceberg clone source tables. This fix addresses issues with type widening in Iceberg tables.
  • 3 days ago: Refactored IdentityColumnTestUtils to unify column names in identity column tests.
  • 3 days ago: Added Delta Connect Update/Delete Server and Scala Client, enhancing support for update/delete operations.

2. Zhipeng Mao (zhipengmao-db)

• Recent Commits:
  • 3 days ago: Refactored IdentityColumnTestUtils and added tests for identity columns.
  • 3 days ago: Implemented support for cloning and restoring tables with identity columns.
  • 3 days ago: Enhanced error messages for identity column operations.

3. Thang Long Vu (longvu-db)

• Recent Commits:
  • 3 days ago: Enabled Row Tracking Backfill by default in Delta, improving data tracking capabilities.
  • 3 days ago: Added tests for Row Tracking Backfill conflicts.

4. Taiga Matsumoto (taiga-db)

• Recent Commits:
  • 3 days ago: Upgraded delta-sharing-client to version 1.2.0, ensuring compatibility with recent updates.

5. Jun Lee (junlee-db)

• Recent Commits:
  • 3 days ago: Fixed compile errors related to coordinator registration code.

6. Yan Zhao (horizonzy)

• Recent Commits:
  • 3 days ago: Added schema support for the remove action in the single action schema.

Patterns and Themes

• The team is actively enhancing the Delta Lake framework with a focus on improving functionality related to identity columns, cloning, and backfilling features.
• There is a strong emphasis on testing, as evidenced by multiple commits dedicated to adding or refactoring tests around new features.
• Collaborative efforts are evident, with multiple co-authors on significant changes, indicating a team-oriented approach to development.

Conclusions

The development team is engaged in a series of enhancements aimed at refining the Delta Lake's capabilities, particularly around identity columns and data tracking functionalities. The commitment to testing and collaboration reflects a structured approach to software development, ensuring that new features are robust and well-integrated into the existing framework.