In PyCharm, the last selected extractor becomes the default one for newly opened editor tabs. For MongoDB, the default extractor is always JSON.
There are several built-in formats. You can export data as a set of INSERT or UPDATE statements. Also, you can select text formats like CSV, JSON, HTML, or Markdown. For more information about exporting, see the Export section.
Configure an extractor for delimiter-separated values
You can extend the default functionality and create your own format that is based on CSV or any DSV format.
From the list of data extractors, select Configure CSV formats.
In the CSV Formats dialog, click the Add Format icon .
Specify a name of a new format (for example, Confluence Wiki Markup).
Define settings of the format: set separators for rows and headers, define text for NULL values, specify quotation. Click OK.
When the format is created, you can select it in the drop-down list near the Export Data icon ().
Add a custom extractor
In the Project tool window ( ), navigate to .
Right-click the extractors node and select .
Type the filename (for example,
PHP: the name that is used in the extractor menu.
array: output of the extractor.
groovy: the extension of the script.
Type or paste the code of the extractor in a new file. You can use code of other extractors in the extractors folder to write your extractor. Also, you can try the following extractors:
TSV-Icelandic-Groovy.tsv.groovy on GitHub: copy tab-separated query results and to paste them to Excel as comma-separated.
Dbunit Dataset Export in Groovy on GitHub: an extractor for Dbunit export.
PHP-Array.groovy: an extractor to PHP array.
Select the extractor from the list of extractors.
Consider the following example of adding the PHP-array extractor in PyCharm.
API for custom data extractors
Use the following API to create your custom data extractor.
Database table metadata
A list of all columns in the query result or currently open table editor.
A list of selected columns in the query result or currently open table editor.
Default formatting methods.
Boolean value that indicates whether the table editor is in transposed mode.
You can use the following simple CSV data extractor as a base for your custom data extractors. The full version of this data extractor is available in PyCharm. To locate it, in the Project tool window ( ), navigate to