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* feat(docs): improve search UX - Hide the 'Search by Pagefind' branding in the search dialog footer - Replace the 'No results found.' message shown before any query with a friendly hint (detected via empty-input :placeholder-shown state) - Tune placeholder, empty-state, and results-heading copy; show a few sub-section matches per result (pageResultCount) * docs: replace double-dash em-dash substitute with single dash Swept prose ' -- ' to ' - ' and numeric ranges (e.g. 2--20 to 2-20) across the documentation. CLI flags and code blocks left untouched. * fix(landing): show colored category icons on modality tool pages The /tools/<modality>/ pages rendered bare name+description cards with no icon or color. Port the colored, category-tinted icon card from /tools/ so modality pages match the main catalog (icon, tint, 'Learn more').
1.4 KiB
1.4 KiB
description
| description |
|---|
| Split a CSV into smaller files by row count. |
Split CSV
Split a large CSV or TSV file into smaller files by row count. Returns a ZIP archive containing the parts.
API Endpoint
POST /api/v1/tools/files/split-csv
Accepts multipart form data with a CSV file and a JSON settings field.
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| rowsPerFile | integer | No | 1000 |
Number of data rows per output file (1-1,000,000) |
| keepHeader | boolean | No | true |
Repeat the header row in each output file |
Example Request
curl -X POST http://localhost:1349/api/v1/tools/files/split-csv \
-H "Authorization: Bearer si_your-api-key" \
-F "file=@large-dataset.csv" \
-F 'settings={"rowsPerFile": 500, "keepHeader": true}'
Example Response
{
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"downloadUrl": "/api/v1/download/a1b2c3d4-e5f6-7890-abcd-ef1234567890/large-dataset_parts.zip",
"originalSize": 1048576,
"processedSize": 1050000
}
Notes
- Output is always a ZIP archive containing the split CSV parts, named sequentially (e.g.
part-1.csv,part-2.csv). - When
keepHeaderistrue, each part includes the original header row so each file can be used independently. - Both CSV and TSV files are accepted as input.
- The row count refers to data rows only; the header row is not counted.