Data extractors
Data extractors set rules of how to copy or view your data in the editor (in the Text editor view mode). You can select a default extractor from the Data Extractors list near the Export Data icon (), configure the existing extractor, or create a custom extractor by using Groovy or JavaScript.
The last selected extractor becomes the default one for newly opened editor tabs. For MongoDB, the default extractor is always JSON.
In the following video, the data is copied using the CSV data extractor, and viewed in the Text editor view mode using the SQL Updates and Pipe-separated data extractors.
Using data extractors, you can export database data as SQL statements and in various formats. When you export to a file, a separate file is created for each table or view. For more information about exporting, refer to the Export section.
Supported file formats
The list of available scripts and supported file formats is as follows:
Predefined scripts. Use them to export data as a set of
INSERT
orUPDATE
statements, TSV and CSV files, Excel XLSX files, Markdown, HTML tables, and JSON format.Built-in
Script
File format
SQL Inserts
.sql
SQL Updates
Where Clause
CSV
Script
File format
CSV
.csv
TSV
.tsv
Pipe-separated
.txt
Use the CSV format configurations to create your own format that is based on CSV or any DSV format.
Scripted
Script
File format
CSV
.csv
TSV
.tsv
Excel
.xlsx, .xls
HTML (groovy)
.html
HTML (js)
JSON
.json
Markdown
.md
One-row
.sql
SQL-Insert-Multirow
SQL-Insert-Statements
Pretty
.txt
XML
.xml
Custom data extractors. Create them using Groovy or JavaScript and the provided API.
Configure an extractor for delimiter-separated values
You can extend the default functionality and create your own format based on CSV or any DSV format. In its settings, you can set separators for rows and headers, define text for NULL values, specify quotation, create new extractors for formats with delimiter-separated values.
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 dropdown list near the Export Data icon ().
For more information about the CSV Formats dialog, refer to the reference.
Add a custom extractor
You can create your own extractor that you can write on Groovy or JavaScript.
In the Project tool window ( ) , navigate to Scratches and Consoles | Extensions | Database Tools and SQL | data | extractors.
Right-click the extractors node and select .
Type the file name (for example,
PHP.array.groovy
), where: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.
Table-Text-Groovy.txt.groovy and Fixed-length-fields.txt.groovy: extractors that generate a txt file with fixed length columns.
PHP-Array.groovy: an extractor to PHP array.
Markdown-JavaScript.markdown.js: an extractor to Markdown.
Select the extractor from the list of extractors.
Consider the following example of adding the PHP-array extractor in WebStorm.
API for custom data extractors
Use the following API to create your custom data extractor.
Binding | Methods (Groovy and JavaScript) | Description |
---|---|---|
|
| Database dialect |
|
| 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. |
|
| Extractor output. |
|
|
|
TRANSPOSED | Boolean value that indicates whether the table editor is in transposed mode. |
Example
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 WebStorm. To locate it, in the Project tool window , navigate to Scratches and Consoles | Extensions | Database Tools and SQL | data | extractors
Reference
CSV Formats dialog
To access this dialog, click the Data Extractors list on the toolbar and select Configure CSV Formats.
This dialog contains the settings for converting table data into delimiter-separated values formats (for example, CSV, TSV) and vice versa.
Preview is limited with 10 records to prevent the rest of the data from loading. When you change settings, the preview changes correspondingly.
Item | Description |
---|---|
Formats | Select a template that successfully converts the file data into a table. You can change settings of predefined templates or add a new template. To add a template, click Add Format button (). Use the Add Format (), Remove Format (), Up () and Down () buttons to create, delete and reorder the formats; Copy Format () to create a copy of the selected format. |
Value separator | Select or type the character that you want to use as a separator for values. |
Row separator | Select or type the character that you want to use as a separator for rows. |
Null value text | Select or type the text that you want to use if a cell contains the |
Add row prefix/suffix | Click the link and type a row prefix and suffix. Prefix and suffix are character sequences which in addition to the row separator indicate the beginning and end of a row. |
Quotation | Each line in the area under Quotation is a quotation pattern. A quotation pattern includes:
If there is more than one pattern, the first pattern is used. Use the Add (), Remove (), Up () and Down () buttons to create, delete and reorder the patterns. |
Quote values | Select when you want to enclose values within quotation characters.
|
Trim whitespaces | Ignore or remove whitespace characters. If this checkbox is cleared, the whitespace characters are treated as parts of the corresponding values. |
First row is header | Treat the first row as a row that contains column names. |
First column is header | Treat the first column as a column that contains row names. |