Importing CSV data into SQL Server can be tricky when dealing with commas within fields and double quotes around data. This guide offers solutions to overcome these challenges.
Addressing Commas within Data Fields
To avoid confusion between field separators and commas within the data itself, use a custom FIELDTERMINATOR
in your import statement. Instead of a comma, choose a character unlikely to appear in your data, such as '||'. This clearly separates fields.
Managing Double Quotes in Data Fields
The BULK INSERT
statement in SQL Server doesn't inherently handle double quotes around data fields. A practical solution is to import the data with the double quotes and then use a SQL query to remove them afterward. This can be achieved with the REPLACE
function:
<code class="language-sql">UPDATE YourTable SET YourColumn = REPLACE(YourColumn, '"', '')</code>
Identifying and Handling Invalid Rows
To pinpoint and manage rows containing errors during the import process, leverage the ERRORFILE
option within your BULK INSERT
statement. This designates a file to store details about any problematic rows. For example:
<code class="language-sql">ERRORFILE = 'C:\CSVDATA\ImportErrors.csv'</code>
This allows for review and correction of the invalid data before re-importing.
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