How do I import a sql data file into SQL Server?
Dependent on type of your data file, the method to import it into SQL Server varies:
For CSV-like text data files, BULK INSERT
will serve you right:
In case you have a .bak
backup file, you'll need RESTORE DATABASE
:
For .sql
script files, several routes can take you to your destination, which we explore next.
Command-line import with sqlcmd
The sqlcmd
command-line tool is your trusty companion for importing bigger .sql
files:
Here we're saying -S
as our Server name and instance, -i
as input file location, and -o
denotes output file for logging.
Note: Log files do an excellent job as eye witness. 👀
Keeping an eye on the import
Monitoring import progress is, as they say, for keeping your sanity intact. Use -o
in sqlcmd
to get a nice log. For huge files, use tools like readfileonline.com to peek contents without waking up the whole memory.
Choosing import method based on file size
Size matters when choosing your import method. For smaller files, SQL Server Management Studio (SSMS) is a champ, with its Attach command. For larger adversaries, go with sqlcmd
.
Error-proofing your script
Check your .sql
script for any syntax blunders before you enter the execution arena. If you're new to this, it's helpful to do a few test runs with a smaller data subset.
Preparing for import
Ensure you're ready for the challenge:
- Cross-check your database connection
- Confirm your SQL Server is well-equipped (CPU, memory, disk space)
- Check for compatibility issues between SQL Server version and the script
- Watch out for unchecked SQL scripts - we don't want an alien in our database!
Simple SSMS method
Good news for SSMS users, you can simply drag and drop your .sql
file into the query editor, hit F5, and watch magic happen.
Post-import check
Once data is inside, verify its accuracy. You've come a long way, don't let a small oversight spoil the joy of successful import!
Using query execution command
Execute your pre-written script with F5 shortcut or the Execute button. This saves time and adds to the fun of SQL.
Anticipating possible issues
Like a good captain, anticipate storms:
- Check your account permissions
- Resolve data type mismatches between script and database schema
- Avoid locking issues by choosing off-peak hours for import
Was this article helpful?