I do not believe this question is a duplicate.
I want rows in the body to be "OPTIONALLY ENCLOSED BY" double quotes. Numerical values should not be enclosed. That's easy to do without a header. But when you include a header using UNION, MySQL now treats every column as a string type and encloses all the values in quotes.
You can add a header to SELECT INTO OUTFILE like this:
SELECT "id", "numerical_values", "string_values" #header section of csv
UNION ALL
SELECT `id`, `numerical_values`, `string_values` #body section of csv
INTO OUTFILE "/tmp/values.csv"
FIELDS TERMINATED BY "," OPTIONALLY ENCLOSED BY '"'
LINES TERMINATED BY "\n"
FROM `values_table`
Again, if I omit the header, only string_values
will be enclosed by quotes.
With the header, all columns are seen as string columns and will be enclosed.
I tried this:
SELECT '"', "id", ',"', "numerical_values", ',"', "string_values", '"'
#added quotes/commas to header
UNION ALL
SELECT `id`, ',', `numerical_values`, ',"', `string_values`, '"'
#added commas, and add quotes around string_values
INTO OUTFILE "/tmp/values.csv"
FIELDS TERMINATED BY "" ENCLOSED BY '' #empty values for fields terminated and enclosed
# empty because manually selected in query
LINES TERMINATED BY "\n"
FROM `values_table`
I thought that would work, but I ended up with what looks like a bunch of extra whitespace. This is from an file I just created with the 2nd method. The header row ends at "string7". The 1st line of data ends after "207". I just put part of the 3rd line.
" num1"," string1"," num2"," string2"," num3"," string3"," num4"," string4"," num5"," string5"," num6"," string6"," string7""
33.95 ," 1023 ", 7.50 ," 207-1023 ", 26.95 ,"2 1023 ",23.00 ,"3Wx4Hx4D ",19.00 ,"1023 ", 0.00 ,"UPC: 123456789012 "," 207 "
40.95 ," 1058 ", 9.00 ,
SELECT '"id"', '"numerical_values"', '"string_values"'
UNION ALL
SELECT id, numerical_values, CONCAT('"', REPLACE(string_values, '"', '""'), '"')
INTO OUTFILE '/tmp/values.csv'
FIELDS TERMINATED BY ',' ENCLOSED BY '' ESCAPED BY '\\'
LINES TERMINATED BY '\n'
FROM values_table