Import CSV file into SQL Server
Get your CSV data into SQL Server swiftly with BULK INSERT:
Replace YourTable
and your_file.csv
to suit your scenario. FORMAT='CSV' ensures smooth handling of typical CSV characteristics. FIRSTROW=2
is handy to omit headers. Don't forget to ensure CSV columns match YourTable
schema before importing.
Unleash the parsing prowess of BULK INSERT when handling finicky CSV files from Excel:
CSV gotchas & BULK INSERT tricks
You've got your CSV and a SQL Server. Now, let's handle some common curveballs CSVs can throw:
Double-quotes and commas in data
Use ||
as your field terminator to handle the hipster commas in your CSV data:
After importing, you could consider replacing double quotes with an empty string.
Errors while importing
Spot and handle the troublemakers in your data with ERRORFILE
. It writes rows with issues into a file specified by you:
CSV and SQL table schema mismatch
Ensure your CSV column structure matches your destination table schema to avoid a mess.
Skip headers in CSV by using FIRSTROW = 2
.
Speeding up your import process
Improve your import performance with TABLOCK
to lock the destination table:
Data visualization inside SQL Server
Let's stick to basics. Imagine you're a librarian and each book 📘 in your library represents a table in SQL Server and each page line an exhibit (🖼️) resting in that book is a CSV row:
In reality, Importing CSV into SQL Server is lining up those exhibits inside each book. Step-by-step, you are opening each book, reading each line, and as you read, you catalogue it into SQL.
Large imports: Taming the beast
Dealing with substantial datasets? No worries. SSMS Import Wizard and SQL Server Integration Services (SSIS) have got your back.
SQL Server Management Studio's Import Wizard
Visual configuration, quick setup with a step-by-step guide, run it and grab a coffee.
SQL Server Integration Services (SSIS)
Batch it, schedule it, transform it. SSIS has superpowers for bigger tasks.
Security: Who gets in?
Before your data can set foot in SQL Server, it needs the right passkey. Always ensure you're using the right SQL Server Authentication credentials or Windows Authentication permissions.
Post-import cleanup: Time for a shower
CSV files exported from Excel may contain extra quotes. Run a cleanup operation after the import:
The Locale War: Commas vs Periods
Regional settings can meddle with commas and periods. Check these:
- Windows Regional Settings: Change the list separator if needed.
- Save CSV files with a different separator to prevent import issues.
Pre-flight checks: Before you import
Importing data is like surgery. Don't do it without diagnosing. Some crucial health checks:
- Data type compatibility: Match CSV columns' types with SQL table fields.
- Preview: Do a quick eyeball test of CSV in a text editor.
- Dry run: Practice on a dummy table to keep surprises at bay.
Final word: The import mantra
Maintain data integrity. Always be vigilant of your CSV content, trace errant data, and tweak your import strategies for your specific case.
Was this article helpful?