Export data in WebStorm

WebStorm has an engine to export and import data in various formats. You can select a predefined format or create your own.

For more information about export and import operations, see the corresponding section.

Export directions

You can export or copy to the clipboard any result set, table, or view.

Export to a file

To export data to a file, perform one of the following actions:
- Right-click a result set, a table, or a view, select Export Data.
- Right-click a query and select Export Data to {0,choice, 1#File|2#Files}.
- On the toolbar, click the Export Data icon () and select Export to File.
In the Export Data dialog, click Export to File.

Export to a clipboard

Select data in the result set or in the editor and press Ctrl+C.
On the toolbar, click the Export Data icon () and select Copy To Clipboard.

Built-in extractors

You can select a built-in export format from the list near the Export Data icon (). 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, Markdown, and other formats (for more information about export options, see Import/Export options.

Before WebStorm 2020.1, if you select the default extractor from the list, you set this extractor as default for the whole IDE. Beginning from WebStorm 2020.1, you set the extractor for a single table. If you open a different table, the extractor defaults to CSV.

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 Export Data list (), 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, and click OK.
When the format is created, you can select it in the drop-down list near the Export Data icon ().

Creating any text extractor with scripting

For more complicated cases, use scripting extractors. WebStorm already has some of them (for example, CSV-Groovy.csv.groovy, HTML-Groove.html, and other extractors). These scripts are written in Groovy, but you can also write them in JavaScript. Consider our examples that use Groovy.

Looking closely at the filename, CSV-Groovy.csv.groovy:

CSV-Groovy is the name of the script.
csv is the extension of the result file.
groovy is the extension of the script.

Scripts are usually located in Scratches and Consoles/Extensions/Database Tools and SQL/data/extractors. Or you can select Go to scripts directory in the extractor menu to navigate there.

Edit an existing extractor or add your own to this folder.

Let’s create an extractor that dumps your data to the CSV format, but only to one row. It can be useful if you are going to paste these values into an IN operator in a WHERE clause.

See the following diff of two scripts: the existing CSV-Groovy.csv.groovy and CSV-ToOneRow-Groovy.csv.groovy.

Consider available context bindings:

           COLUMNS <DataColumn> //selected columns
           ALL_COLUMNS List<DataColumn> //all columns
       

These objects are equal when you dump a whole page to a file.

ROWS Iterable<DataRow> //selected rows

, where:

                DataRow { rowNumber(); first(); last(); data(): List<Object>; value(column): Object }
                DataColumn { columnNumber(); name() }
            

                OUT {append()} //object to output data
                FORMATTER {format(row, col); formatValue(Object, col)} //converts data to String
                TRANSPOSED Boolean //checks if data editor is transposed (Gear Icon → Transpose)
                TABLE DasTable //object that represents the actual table you’re extracting data from
            

DasTable has two important methods:

Before v2017.3

               DasObject getDbParent()
               JBIterable<DasObject> getDbChildren(Class, ObjectKind)
            

Since v2017.3

                DasObject getDasParent()
                JBIterable<DasObject> getDasChildren(ObjectKind)
            

Additional information about the API can be found here.

When you create or edit Groovy scripts in WebStorm, and have Groovy installed, coding assistance is available.

Once CSV-ToOneRow-Groovy.csv.groovy is in the folder, you can use the extractor.

Copy these values and paste them into the query.

Copy values and paste them into the query

Here’s another example that is based on SQL-Insert-Statements.sql.groovy. MySQL and PostgreSQL allow using multi-row syntax. To use this type of extractor, create a new SQL-Inserts -MultirowSynthax.sql.groovy file in the scripting folder.

Create a new SQL-Inserts-MultirowSynthax.sql.groovy file

Again, select it in the menu.

See the result in WebStorm:

Feel free to use other generated extractors on GitHub:

Last modified: 09 June 2021