I am trying to bulk insert
few records in a table test from a CSV file ,
CREATE TABLE Level2_import
(wkt varchar(max),
area VARCHAR(40),
)
I have this issue working with LDAP data the dn contains commas, as do other fields that contain dns. Try changing your field terminator to another, unused character, like a pipe | or Semicolon ;. Do this in the data and the file definition.
so the code should be:
CREATE TABLE Level2_import
(wkt varchar(max),
area VARCHAR(40),
)
BULK
INSERT level2_import
FROM 'D:\test.csv'
WITH
(
FIRSTROW = 2,
FIELDTERMINATOR = ';',
ROWTERMINATOR = '\n'
)
and your CSV:
"MULTIPOLYGON (((60851.286135090661 510590.66974495345,60696.086128673756 510580.56976811233,60614.7860844061 510579.36978015327,60551.486015895614)))"; 123123.22
You need to use a 'format file' to implement a text qualifier for bulk insert. Essentially, you will need to teach the bulk insert that there's potentially different delimiters in each field.
Create a text file called "level_2.fmt" and save it.
11.0
2
1 SQLCHAR 0 8000 "\"," 1 wkt SQL_Latin1_General_CP1_CI_AS
2 SQLCHAR 0 40 "\r\n" 2 area SQL_Latin1_General_CP1_CI_AS
The first line, "11.0" refers to your version of SQL. The second line shows that your table, [level2_import], has two columns. Each line after that will describe a column, and obeys the following format:
[Source Column Number][DataType][Min Size][Max Size][Delimiter pattern][Destination Column Number][Destination Column Name][Case sensitivity of database]
Once you've created that file, you can read in your data with the following bulk insert statement:
BULK INSERT level2_import
FROM 'D:\test.csv'
WITH
(
FIRSTROW = 2,
FORMATFILE='D:\level_2.fmt'
);
Refer to this blog for a detailed explanation of the format file.
SQL Server 2017 finally added support for text qualifiers and the CSV format defined in RFC 4180. It should be enough to write :
BULK INSERT level2_import
FROM 'D:\test.csv'
WITH ( FORMAT = 'CSV', ROWTERMINATOR = '\n', FIRSTROW = 2 )
Try removing .fmt to the file and use .txt instead, that worked for me