A low-memory high performance library for reading data from an xlsx file.
Suitable for reading .xlsx data and designed to aid with the bulk uploading of data where the key requirement is to parse and read raw data.
The reader will read data out row by row (1->n) and has no concept of headers or data types (this is to be managed by the consumer).
The reader is currently not concerned with handling some of the more advanced cell data that can be stored in a xlsx file.
Further reading on how this came to be is available on our blog
go get github.com/thedatashed/xlsxreader
Reading from the file system:
package main
import (
"github.com/thedatashed/xlsxreader"
)
func main() {
// Create an instance of the reader by opening a target file
xl, _ := xlsxreader.OpenFile("./test.xlsx")
// Ensure the file reader is closed once utilised
defer xl.Close()
// Iterate on the rows of data
for row := range xl.ReadRows(e.Sheets[0]){
...
}
}Reading from an already in-memory source
package main
import (
"io/ioutil"
"github.com/thedatashed/xlsxreader"
)
func main() {
// Preprocessing of file data
file, _ := os.Open("./test/test-small.xlsx")
defer file.Close()
bytes, _ := ioutil.ReadAll(file)
// Create an instance of the reader by providing a data stream
xl, _ := xlsxreader.NewReader(bytes)
// Iterate on the rows of data
for row := range xl.ReadRows(e.Sheets[0]){
...
}
}The reader operates on a single file and will read data from the specified file using the OpenFile function.
The Reader can also be instantiated with a byte array by using the NewReader function.
An xlsx workbook can contain many worksheets, when reading data, the target sheet name should be passed. To process multiple sheets, either iterate on the array of sheet names identified by the reader or make multiple calls to the ReadRows function with the desired sheet names.
A sheet contains n rows of data, the reader returns an iterator that can be accessed to cycle through each row of data in a worksheet. Each row holds an index and contains n cells that contain column data.
A cell represents a row/column value and contains a string representation of that data. Currently numeric data is parsed as found, with dates parsed to ISO 8601 / RFC3339 format.