问题
I have a comma delimited text file with the structure
field1 field2 field3 field4
1 2 3 4
I wrote the following script to bulk insert the text file, but I wanted to leave out column 3
create table test (field1 varchar(50),field2 varchar(50),field4 varchar(50))
go
bulk insert test
from 'c:\myFilePath'
with
(fieldterminator=',',
rowterminator='\n'
)
The insert worked fine, but the results of the insert made field4 look like field3,field4, so the field 3 was actually just concatenated onto field4. The flat files I'm working with are several gigs and can't be easily modified. Is there a way to use bulk insert but have it ignore the columns that aren't declared in the create table statement?
回答1:
You can use a format file to do this:
http://msdn.microsoft.com/en-gb/library/ms178129.aspx
http://msdn.microsoft.com/en-gb/library/ms179250.aspx
Or if you want a slightly cheekier way, just import it all and drop a column afterwards. ;)
回答2:
The easiest way is to create a view that has just the columns you require.
Then bulk insert into that view.
Example:
create table people (name varchar(20) not null, dob date null, sex char(1) null)
--If you are importing only name from list of names in names.txt
create view vwNames as
select name from people
bulk insert 'names.txt'
回答3:
you cant ignore a field while doing bulk insert , insted of doing that .. Load all 4 column and drop the colum which you dont want
create table test (field1 varchar(50),field2 varchar(50), field3 varchar(50),field4 varchar(50))
go
bulk insert test
from 'c:\myFilePath'
with
(fieldterminator=',',
rowterminator='\n'
)
ALTER TABLE test DROP column [field3]
来源：https://stackoverflow.com/questions/14711814/ignore-certain-columns-when-using-bulk-insert