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https://github.com/bilbottom/pycharm-extensions
Custom PyCharm database extensions.
https://github.com/bilbottom/pycharm-extensions
groovy pycharm
Last synced: about 11 hours ago
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Custom PyCharm database extensions.
- Host: GitHub
- URL: https://github.com/bilbottom/pycharm-extensions
- Owner: Bilbottom
- Created: 2023-03-19T12:01:37.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-04-02T09:59:35.000Z (almost 2 years ago)
- Last Synced: 2024-11-13T02:15:28.427Z (2 months ago)
- Topics: groovy, pycharm
- Language: Groovy
- Homepage:
- Size: 128 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Codeowners: .github/CODEOWNERS
Awesome Lists containing this project
README
Custom PyCharm Database Extensions
---
[PyCharm Professional](https://www.jetbrains.com/pycharm) ships with some `.groovy` scripts as database extensions. This repo adds additional ones to these (mainly just tweaking the existing scripts!).
> The official documentation for PyCharm's database extensions can be found at:
>
> - https://www.jetbrains.com/help/pycharm/relational-databases.html
>
> The aggregators and extractors are documented, respectively, at:
> - https://www.jetbrains.com/help/pycharm/table-editor.html#aggregate-view
> - https://www.jetbrains.com/help/pycharm/data-extractors.html
### Where are the database extensions?
In the project view, you can find the database extensions under **Scratches and Consoles**:
New scripts can be added here directly and will automatically be available in the IDE -- across all projects!
### Where are the database extensions used?
Please refer to the official aggregator and extractor documentation:
- https://www.jetbrains.com/help/pycharm/table-editor.html#aggregate-view
- https://www.jetbrains.com/help/pycharm/data-extractors.html
# Custom Extensions
This repo adds the following extensions:
- **Aggregators**
- [COUNT_CHARS.groovy](pycharm-extensions/data/aggregators/COUNT_CHARS.groovy)
- [COUNT_DISTINCT.groovy](pycharm-extensions/data/aggregators/COUNT_DISTINCT.groovy)
- [COUNT_NULLS.groovy](pycharm-extensions/data/aggregators/COUNT_NULLS.groovy)
- [HAS_BAD_CHARS.groovy](pycharm-extensions/data/aggregators/HAS_BAD_CHARS.groovy)
- **Extractors**
- [Jira-Server.md.groovy](pycharm-extensions/data/extractors/Jira-Server.md.groovy)
- [One-Row.sql.groovy](pycharm-extensions/data/extractors/One-Row.sql.groovy)
- [SQL-Where.sql.groovy](pycharm-extensions/data/extractors/SQL-Where.sql.groovy)
Details will be added below with the following example table:
| id | name | date_of_birth | surname_ipa |
|----:|:-----------------|:--------------|:-----------------------------------------|
| 1 | William Shatner | 1931-03-22 | \ |
| 2 | Leonard Nimoy | 1931-03-26 | /ˈniːmɔɪ/ |
| 3 | Nichelle Nichols | 1932-12-28 | /nɪˈʃɛl/ |
## Database Aggregators
### [COUNT_CHARS.groovy](pycharm-extensions/data/aggregators/COUNT_CHARS.groovy)
Count the total number of characters across the selection. Intended to be used on a single cell at a time to quickly determine the length of its contents, but can be used on many cells to get the total number of characters over them.
### [COUNT_DISTINCT.groovy](pycharm-extensions/data/aggregators/COUNT_DISTINCT.groovy)
Count the number of distinct cells in the selection. Note that null values are not ignored and will count as a distinct value.
### [COUNT_NULLS.groovy](pycharm-extensions/data/aggregators/COUNT_NULLS.groovy)
Count the number of cells that have a null value.
### [HAS_BAD_CHARS.groovy](pycharm-extensions/data/aggregators/HAS_BAD_CHARS.groovy)
Count the number of cells (not the number of characters) that have at least one "bad character". As an English speaker, a "good character" is any character between a space (` `, U+0020) and a tilde (`~`, U+0126) on the ASCII/unicode scale, and a "bad character" is any character that is not a "good character". Null values are not counted (but the null character, U+0000, is).
## Database Extractors
### [Jira-Server.md.groovy](pycharm-extensions/data/extractors/Jira-Server.md.groovy)
Format the cells appropriately for Jira Server. This is a modified version of the Markdown-Groovy extractor, but tweaked to return Atlassian server's wiki markup instead of Markdown.
Like the build-in Markdown extractor, this has different outputs depending on whether the result set is transposed or not.
#### Default
Copy:
Paste:
```
|| ID || NAME || DATE_OF_BIRTH || SURNAME_IPA ||
| 1 | William Shatner | 1931-03-22 | null |
| 2 | Leonard Nimoy | 1931-03-26 | /ˈniːmɔɪ/ |
| 3 | Nichelle Nichols | 1932-12-28 | /nɪˈʃɛl/ |
```
#### Transposed
Copy:
Paste:
```
|| || || || |
| ID | 1 | 2 | 3 |
| NAME | William Shatner | Leonard Nimoy | Nichelle Nichols |
| DATE_OF_BIRTH | 1931-03-22 | 1931-03-26 | 1932-12-28 |
| SURNAME_IPA | null | /ˈniːmɔɪ/ | /nɪˈʃɛl/ |
```
### [One-Row.sql.groovy](pycharm-extensions/data/extractors/One-Row.sql.groovy)
Simply join the selected cells (values only) using a comma and space as a separator, quoting the values if needed. Handy for copying values to put inside an `IN` statement.
Copy:
Paste:
```
1, 'William Shatner', 2, 'Leonard Nimoy'
```
### [SQL-Where.sql.groovy](pycharm-extensions/data/extractors/SQL-Where.sql.groovy)
Join the selected cells' values with the column names ready to be pasted into a `WHERE` clause. Intended to be used for a single row at a time, but can be used on many.
Copy:
Paste:
```
WHERE 1=1
AND id = 1
AND name = 'William Shatner'
AND id = 2
AND name = 'Leonard Nimoy'
```