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I am generating a CSV file in a Go HTTP handler and sending it as a response. Some of my text fields contain semicolons (;
), which causes issues when opening the file in applications like Excel. The data is getting split into multiple cells instead of appearing in a single cell.
For example, in my case:
- The
name
field containsgoogle;gmail
- The
URL
field contains;gle/
Here’s my current Go code:
func routeReferencesCrossrefDownloadPost(w http.ResponseWriter, r *http.Request) {
var req DownloadRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
fmt.Println("JSON Decode Error:", err)
http.Error(w, "Invalid request", http.StatusBadRequest)
return
}
w.Header().Set("Content-Type", "text/csv")
w.Header().Set("Content-Disposition", `attachment; filename="search_items.csv"`)
writer := csv.NewWriter(w)
defer writer.Flush()
writer.Write([]string{"#", "Name", "URL"})
name := "google;gmail"
URL := ";gle/"
for i := 0; i < 5; i++ {
writer.Write([]string{
fmt.Sprintf("%d", i+1),
name,
URL,
})
}
}
The semicolon in name
and URL
is causing the text to split across multiple cells instead of staying within one. I would prefer not to change any CSV settings in system. If I wrap values in double quotes ("
), I should not see them explicitly in the CSV file when opened.
How can I ensure that values containing semicolons remain in the same cell without requiring the user to modify any settings in their CSV viewer?
I am generating a CSV file in a Go HTTP handler and sending it as a response. Some of my text fields contain semicolons (;
), which causes issues when opening the file in applications like Excel. The data is getting split into multiple cells instead of appearing in a single cell.
For example, in my case:
- The
name
field containsgoogle;gmail
- The
URL
field containshttps://www.goo;gle/
Here’s my current Go code:
func routeReferencesCrossrefDownloadPost(w http.ResponseWriter, r *http.Request) {
var req DownloadRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
fmt.Println("JSON Decode Error:", err)
http.Error(w, "Invalid request", http.StatusBadRequest)
return
}
w.Header().Set("Content-Type", "text/csv")
w.Header().Set("Content-Disposition", `attachment; filename="search_items.csv"`)
writer := csv.NewWriter(w)
defer writer.Flush()
writer.Write([]string{"#", "Name", "URL"})
name := "google;gmail"
URL := "https://www.goo;gle/"
for i := 0; i < 5; i++ {
writer.Write([]string{
fmt.Sprintf("%d", i+1),
name,
URL,
})
}
}
The semicolon in name
and URL
is causing the text to split across multiple cells instead of staying within one. I would prefer not to change any CSV settings in system. If I wrap values in double quotes ("
), I should not see them explicitly in the CSV file when opened.
How can I ensure that values containing semicolons remain in the same cell without requiring the user to modify any settings in their CSV viewer?
Share Improve this question edited Mar 13 at 11:57 kostix 55.7k14 gold badges102 silver badges186 bronze badges asked Mar 13 at 8:50 user275472user275472 975 bronze badges 3 |1 Answer
Reset to default 0You will need to ensure that your output explicitly quotes fields, and that your consumers readers are configured to understand quotes, and that the correct separator is configured as well.
Quoting CSV in Golang
As you want to quote the CSV output, you may want to look at existing answers, e.g. Always quote csv values has a number of example answers that will allow you to write your module so as to ensure quotes are used, but as you say, don't show up explicitly in the CSV when opened.
The problem stems from encoding/csv
being a very simplistic writer and not handling this for the caller. You need to use a different module or extend the encoding/csv
module to be able to quote as you require.
Consumer expectations
I understand the tension between doing more for the user, and having the user do more. Your question suggests that semi-colons have been marked as a separator in Excel, but your users need to have commas set explicitly.
Excel outlines two ways to import CSV. Naively opening the data through the Open dialog is the least reliable, and often results in data being mapped incorrectly.
The second method "Import a text file by connecting to it" will provide a reliable import, but requires some user knowledge and intervention to calibrate that import correctly, e.g. selecting separator and field types where their integrity is important, e.g. number/date formatting.
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encoding/csv
package provides enough flexibility for dealing with various consumers: it allows specifying of the field separator and force using of CR+LF combos to terminate lines instead of single LFs. And it uses double quotes to deal with problematic field values. All this should cover 99% of the use cases, so try it. – kostix Commented Mar 13 at 12:06