# Repair a Rejected CSV Import and Load It into Your Database

Diagnose why a CSV import keeps failing, map messy headers onto the target schema, remove duplicates under a stated policy, and emit typed INSERT statements or a bulk-load TSV.

> Canonical page: https://elysiatools.com/en/hubs/csv-import-repair-and-database-load

- **Keywords:** fix csv import errors, csv structure validation, csv header alias mapping, remove duplicate csv rows, csv to sql insert statements, tsv bulk load, csv dialect detection, load csv into database

## Frequently asked questions

### Why did the database reject my CSV without a useful message?

Loaders fail bluntly. Unbalanced quotes, a semicolon export read as comma-delimited, a byte-order mark in front of the first header, or one row with an extra field — the database just stops. Structural validation names the failing rows and the defect type, which turns a shrug into a work list.

### When is fuzzy deduplication the wrong choice?

Whenever two rows can legitimately differ by a single character — twin accounts at the same company, repeated legitimate orders minutes apart. Fuzzy matching is for hand-typed near-duplicates; if the file was machine-exported, exact matching removes the real re-exports and leaves honest data alone.

### Are generated INSERT statements too slow for large files?

For thousands to a few hundred thousand rows, batched INSERTs load in reasonable time and remain diffable in code review. Past that, switch to the TSV exit and let the native bulk loader do the work — that is exactly why this workflow keeps both doors open.

### The headers change every week — is this still the right page?

Yes for repair, no for the pipeline. Keep one alias dictionary and rerun the same four steps. When the sources multiply, arrive as workbooks, or the handoff must run unattended, move to the ETL ingestion workflow and let it own the repeatable version.

## Related content

- [CSV Cleanup, Reshaping, and Delivery Workflow](https://elysiatools.com/en/hubs/csv-utility): Inspect CSV structure, keep the right columns, reshape rows, compare outputs, and split final files for dependable imports or reporting.
- [Data Quality and Anomaly Investigation Workflows](https://elysiatools.com/en/hubs/data-quality-anomaly-workflows): Profile tabular data, isolate duplicates, missingness, referential breaks, outliers, and time-series anomalies, and turn findings into defensible quality evidence.
- [XLSX ETL Ingestion and Warehouse Handoff](https://elysiatools.com/en/hubs/xlsx-etl-ingestion-workflows): Turn mixed workbook and CSV sources into traceable, schema-aware outputs for SQL loading, Parquet pipelines, and object-storage batch handoff.
- [Database Schema Migration](https://elysiatools.com/en/hubs/database-schema-migration): Plan a safe database migration by normalizing source data, reviewing schema changes, validating relationships, and preparing rollback assets.