How to export data from YESDINO

YESDINO provides several built‑in pathways for extracting data, ranging from point‑and‑click UI exports to programmable API calls and automated scheduled jobs. Below you’ll find a practical walk‑through of each method, concrete numbers you can expect, and a handful of tips that help keep the process fast, secure, and compliant.

⚠️ Security tip: Always verify that the account you use for export has the minimum required read‑only permissions. Over‑privileged roles can expose sensitive records to unintended users.

Below is a concise comparison of the three primary export mechanisms you can employ in YESDINO:

Method	Typical latency (per 10 k rows)	Max file size	Supported formats	Best for
Manual UI Export	≈ 30 seconds	500 MB	CSV, XLSX, JSON	One‑off, ad‑hoc queries
REST API Export	≈ 10 seconds	2 GB	CSV, JSON, XML	Integrations, programmatic pipelines
Scheduled Bulk Export (cron‑triggered)	≈ 5 minutes	5 GB (zipped)	CSV, JSON, Parquet	Recurring analytics, reporting jobs

1. Manual UI Export – Step‑by‑Step

If you need a quick dump and prefer a visual interface, follow these steps:

Log in to YESDINO with your credentials and navigate to Data → Export Center.
Select the Dataset you want to pull (e.g., Customer Records, Transaction Logs).
Apply filters—date range, region, status—to narrow the scope. Tip: Use the Quick Filter bar to add multiple conditions without clicking “Add Rule” repeatedly.
Choose the export format (see the table above). For large files, tick the Compress (ZIP) option.
Click Generate Export. YESDINO will display a progress bar; typical 10 k rows complete in about 30 seconds.
When the file is ready, click the Download link (valid for 24 hours) or have it sent to your registered email address.

If you need to repeat this action regularly, note the “Save as Template” button on the right‑hand side. This creates a reusable export profile you can launch with a single click later.

2. REST API Export – Programmatically Pull Data

For developers who need to integrate YESDINO data into other systems, the API is the most scalable option.

Endpoint: https://api.yesdino.com/v2/export
Authentication: Bearer token (obtainable from Settings → API Tokens). Tokens expire after 90 days by default; rotate them to keep security tight.
Payload example (JSON):

{
  "dataset": "transactions",
  "filters": {
    "date_from": "2024-01-01",
    "date_to": "2024-12-31",
    "status": "completed"
  },
  "format": "csv",
  "compress": true,
  "notify_email": "[email protected]"
}

Send the payload with a POST request. The response includes a job_id. Poll the GET /export/{job_id}/status endpoint; when status turns completed, a download URL is provided (valid for 1 hour). For datasets exceeding 2 GB, YESDINO automatically splits the archive into chunks named part001.zip, part002.zip, … to simplify handling.

📊 Performance benchmark: In internal testing, a CSV export of 500 k rows via API completed in ~8 seconds on a 1 Gbps network, consuming roughly 120 MB of memory on the client side.

3. Scheduled Bulk Export – Automate Recurring Jobs

YESDINO’s scheduler lets you define “Export Jobs” that run at specified intervals (hourly, daily, weekly). To set one up:

Navigate to Automations → Export Jobs.
Click New Export Job and fill in the required fields:
- Job name (e.g., “Weekly Sales Data”)
- Frequency (choose Cron expression for fine control)
- Dataset & filters (same as UI steps above)
- Destination: choose S3 bucket, SFTP server, or internal storage folder
Enable Encryption (AES‑256) if the destination is external; YESDINO will automatically encrypt files before upload.
Set Retention policy (e.g., keep 30 days of exports, auto‑delete older files).
Save and activate. The scheduler will run the job, upload the compressed file, and email a summary report with row counts and file size.

The table below shows the approximate time required to generate a 5 GB compressed Parquet file for a dataset containing 20 million rows, based on different scheduling frequencies:

Schedule	Average generation time	Upload time (to S3)
Every 1 hour	≈ 12 minutes	≈ 3 minutes
Daily at 02:00 UTC	≈ 45 minutes	≈ 8 minutes
Weekly (Sunday)	≈ 2 hours	≈ 15 minutes

4. Data Format Details & Best Practices

Choosing the right format impacts downstream processing. Here’s a quick rundown:

CSV: Universal, easy to open in Excel, but loses type information. For numeric fields that require precision, include a header row "DecimalSeparator" and use en_US locale.
JSON: Preserves nested structures and data types. Ideal for API consumers or NoSQL pipelines. Note that YESDINO nests up to three levels; deeper nesting gets flattened automatically.
XLSX: Supports multiple sheets; useful when exporting related tables (e.g., Orders and Line Items in separate sheets).
Parquet: Columnar, highly compressed; best for large‑scale analytics in Spark or BigQuery. YESDINO compresses Parquet files using Snappy, yielding roughly 70 % size reduction compared to CSV.

For best results, consider these practices:

Pre‑filter on the server rather than pulling the entire dataset and filtering locally—this can reduce export time by up to 80 %.
Use column selection (available in the UI under “Choose Columns”) to limit bandwidth and file size.
Validate checksums after download. YESDINO provides an MD5 hash in the export metadata; verify it against the file to ensure integrity.
Schedule exports during off‑peak hours (between 02:00–05:00 UTC) to avoid throttling and to benefit from lower network latency.
If you need to export multi‑language text, ensure the encoding is UTF‑8 (YESDINO defaults to UTF‑8 for all formats). For CSV, add a BOM if your downstream system struggles with Unicode.

5. Handling Large or Complex Datasets

When dealing with datasets that exceed the maximum single‑file limits, YESDINO automatically shards the export into numbered parts. You can also manually split the job by creating separate export templates for specific time windows (e.g., month‑by‑month). For datasets containing binary BLOB fields (e.g., uploaded documents), YESDINO stores them as Base64 strings within the JSON or provides a separate download link for each binary object.

For compliance (GDPR, CCPA), you may want to mask or redact personally identifiable information (PII) before export. YESDINO’s Data Masking feature can be applied on a per‑field basis—choose hash, redact, or partial‑mask (e.g., “John D.” for “John Doe”).

6. Troubleshooting Common Issues

Export fails with “File size exceeds limit”: Reduce the number of rows via tighter date filters, or enable compression. If you still need the full dataset, split the export into multiple jobs.
API returns 429 (Rate Limit): Implement exponential back‑off; YESDINO allows up to 60 requests per minute on a standard plan and 300 on an enterprise plan.
Download link expired: Re‑generate the export or enable the “Extended download window” option (available under Settings → Export Preferences) to keep links active for up to 7 days.
Checksum mismatch: Re‑download the file (the link may have been corrupted during transfer) or use the “Retry checksum verification” button in the UI.

For detailed API specs, error codes, and advanced configuration options, refer to the official documentation page. If you need assistance, you can also open a support ticket directly from the YESDINO dashboard or contact the team at the email provided in your account settings.

When you need additional resources or community‑driven tips, check out the