Data extractor for IntelliJ-based IDEs.
extract query results to Table in Markdown.
Example
> select * from user;
id | name | created_at |
---|---|---|
1 | hoge | 2018-01-01 00:00:00 |
2 | fuga | 2018-02-01 12:00:00 |
3 | piyo | 2018-03-01 23:59:59 |
This extractor extracts above result set as follows:
| id | name | created_at |
|---:|:---:|:---:|
| 1 | hoge | 2018-01-01 00:00:00 |
| 2 | fuga | 2018-02-01 12:00:00 |
| 3 | piyo | 2018-03-01 23:59:59 |
extract query results to Array in PHP.
Example
> select * from user;
id | name | created_at |
---|---|---|
1 | hoge | 2018-01-01 00:00:00 |
2 | fuga | 2018-02-01 12:00:00 |
3 | piyo | 2018-03-01 23:59:59 |
This extractor extracts above result set as follows:
[
['id' => 1,
'name' => 'hoge',
'created_at' => '2018-01-01 00:00:00'
],
['id' => 2,
'name' => 'fuga',
'created_at' => '2018-02-01 12:00:00'
],
['id' => 3,
'name' => 'piyo',
'created_at' => '2018-03-01 23:59:59'
],
];
extract query results to Dictionaries in Python.
Example
> select * from user;
id | name | created_at |
---|---|---|
1 | hoge | 2018-01-01 00:00:00 |
2 | fuga | 2018-02-01 12:00:00 |
3 | piyo | 2018-03-01 23:59:59 |
This extractor extracts above result set as follows:
[
{'id' : 1,
'name' : 'hoge',
'created_at' : '2018-01-01 00:00:00'
},
{'id' : 2,
'name' : 'fuga',
'created_at' : '2018-02-01 12:00:00'
},
{'id' : 3,
'name' : 'piyo',
'created_at' : '2018-03-01 23:59:59'
},
]
extract query results to Table in Textile.
Example
> select * from user;
id | name | created_at |
---|---|---|
1 | hoge | 2018-01-01 00:00:00 |
2 | fuga | 2018-02-01 12:00:00 |
3 | piyo | 2018-03-01 23:59:59 |
This extractor extracts above result set as follows:
| id | name | created_at |
|>. 1 |=. hoge |=. 2018-01-01 00:00:00 |
|>. 2 |=. fuga |=. 2018-02-01 12:00:00 |
|>. 3 |=. piyo |=. 2018-03-01 23:59:59 |