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[REVIEW]: ParquetDB: A Lightweight Python Parquet-Based Database #7932

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editorialbot opened this issue Mar 21, 2025 · 8 comments
Open

[REVIEW]: ParquetDB: A Lightweight Python Parquet-Based Database #7932

editorialbot opened this issue Mar 21, 2025 · 8 comments
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review Track: 7 (CSISM) Computer science, Information Science, and Mathematics

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Submitting author: @lllangWV (Logan Lang)
Repository: https://github.com/lllangWV/ParquetDB
Branch with paper.md (empty if default branch): main
Version: v0.25.1
Editor: @fabian-s
Reviewers: @ckoerber, @perdelt
Archive: Pending

Status

status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/fb723cd2091d1e2c580937e31efe0d82"><img src="https://joss.theoj.org/papers/fb723cd2091d1e2c580937e31efe0d82/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/fb723cd2091d1e2c580937e31efe0d82/status.svg)](https://joss.theoj.org/papers/fb723cd2091d1e2c580937e31efe0d82)

Reviewers and authors:

Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)

Reviewer instructions & questions

@ckoerber & @perdelt, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
First of all you need to run this command in a separate comment to create the checklist:

@editorialbot generate my checklist

The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @fabian-s know.

Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest

Checklists

@ckoerber, please create your checklist typing: @editorialbot generate my checklist

@perdelt, please create your checklist typing: @editorialbot generate my checklist

@editorialbot
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Hello humans, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@editorialbot generate pdf

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.1007/978-1-4302-3226-1 is OK
- 10.1145/3052937 is OK
- 10.1088/1361-648X/aa680e is OK
- 10.1063/1.4812323 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Genomics Data
- No DOI given, and none found for title: Practical Issues in Database Management: A Refernc...
- No DOI given, and none found for title: NoSQL Data Models: Trends and Challenges

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

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Software report:

github.com/AlDanial/cloc v 1.98  T=1.23 s (124.5 files/s, 392331.9 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
HTML                            31           1612             29         178968
Python                          47           2214           3447           6415
CSS                             10            262             87           1565
Jupyter Notebook                12              0         281639           1473
JavaScript                      11            180            285           1110
Markdown                         3            438              0            873
YAML                            10             72             15            336
reStructuredText                18            291            262            302
TeX                              1              6              0            100
TOML                             1             18              0             67
DOS Batch                        1             14              6             62
make                             1             12             11             36
SVG                              4              0              0             27
Text                             2              0              0             10
JSON                             1              0              0              1
-------------------------------------------------------------------------------
SUM:                           153           5119         285781         191345
-------------------------------------------------------------------------------

Commit count by author:

   230	lllangWV
    59	GitHub Action
     6	lllang
     2	Logan Lang
     2	clayote

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Paper file info:

📄 Wordcount for paper.md is 1076

✅ The paper includes a Statement of need section

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License info:

✅ License found: MIT License (Valid open source OSI approved license)

@fabian-s
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👋🏼 @lllangWV @perdelt @ckoerber this is the review thread for the paper. All of our communications will happen here from now on.

As a reviewer, the first step is to create a checklist for your review by entering

@editorialbot generate my checklist

as the top of a new comment in this thread.

These checklists contain the JOSS requirements. As you go over the submission, please check any items that you feel have been satisfied. The first comment in this thread also contains links to the JOSS reviewer guidelines.

The JOSS review is different from most other journals. Our goal is to work with the authors to help them meet our criteria instead of merely passing judgment on the submission. As such, the reviewers are encouraged to submit issues and pull requests on the software repository. When doing so, please mention openjournals/joss-reviews#7932 so that a link is created to this thread (and I can keep an eye on what is happening). Please also feel free to comment and ask questions on this thread. In my experience, it is better to post comments/questions/suggestions as you come across them instead of waiting until you've reviewed the entire package.

We aim for reviews to be completed within about 2-4 weeks. Please let me know if any of you require some more time. We can also use EditorialBot (our bot) to set automatic reminders if you know you'll be away for a known period of time.

Please feel free to ping me (@fabian-s ) if you have any questions/concerns.

@fabian-s
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@ckoerber @perdelt please don't forget to @editorialbot generate my checklist -- if you think you'll need more than 3 weeks from today for this review, please let me know so I can try to keep things on track.

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