Importing a CSV in Oracle quickly loads external data into permanent relational tables.
CSV imports let you bulk-load storefront data—customers, orders, or products—without manually typing rows. This speeds up migrations, backfills, and nightly feeds.
Oracle offers three main options: External Tables, SQL*Loader (sqlldr), and SQL Developer’s GUI. External Tables are easiest for repeatable loads; SQL*Loader remains fastest for very large files; SQL Developer works well for ad-hoc uploads.
External Tables read the file directly from disk without staging.You create a table that points to the CSV, then query or INSERT … SELECT into a normal table.
1 Create a DIRECTORY object that maps to the server folder.
2 Grant READ on the directory to your schema.
3 Create the External Table with Oracle Loader access parameters.
4 INSERT … SELECT into the real table.
SQL*Loader uses a control file to map CSV fields to table columns. Run sqlldr
from the command line.It generates a log, bad, and discard file so you can audit rejects.
FIELDS TERMINATED BY sets the comma; OPTIONALLY ENCLOSED BY handles quotes; DATE "YYYY-MM-DD" converts date strings; SKIP identifies header rows. Always match data types exactly to avoid conversion errors.
Query the target table and compare counts against sqlldr
log rows or the External Table’s COUNT(*)
.Spot-check a few records to confirm data integrity.
• Validate UTF-8 encoding before loading.
• Stage files in a secure DIRECTORY with minimal privileges.
• Use External Tables for repeat jobs; switch to PARALLEL
for speed.
• Keep control files in version control.
Load customers.csv
into Customers
, then relate it to Orders
. After import, a simple JOIN query powers a customer lifetime value dashboard.
.
Yes. List multiple filenames inside the LOCATION clause or use wildcards with the PREPROCESSOR directive.
Wrap the field in double quotes and keep OPTIONALLY ENCLOSED BY '"' in your ACCESS PARAMETERS or control file. Oracle will treat the entire quoted string as one column.
SQL Developer uses INSERT statements under the hood, so very large files load slower. SQL*Loader and External Tables bypass the SQL layer, offering higher throughput.