js读取CSV格式数据，参考如下：
<script type="text/javascript">// This will parse a delimited string into an array of
// arrays. The default delimiter is the comma, but this
// can be overriden in the second argument.
function CSVToArray( strData, strDelimiter ){
// Check to see if the delimiter is defined. If not,
// then default to comma.
strDelimiter = (strDelimiter || ",")
// Create a regular expression to parse the CSV values.
var objPattern = new RegExp(
(
// Delimiters.
"(\\" + strDelimiter + "|\\r?\\n|\\r|^)" +
// Quoted fields.
"(?:\"([^\"]*(?:\"\"[^\"]*)*)\"|" +
// Standard fields.
"([^\"\\" + strDelimiter + "\\r\\n]*))"
),
"gi"
)
// Create an array to hold our data. Give the array
// a default empty first row.
var arrData = [[]]
// Create an array to hold our individual pattern
// matching groups.
var arrMatches = null
// Keep looping over the regular expression matches
// until we can no longer find a match.
while (arrMatches = objPattern.exec( strData )){
// Get the delimiter that was found.
var strMatchedDelimiter = arrMatches[ 1 ]
// Check to see if the given delimiter has a length
// (is not the start of string) and if it matches
// field delimiter. If id does not, then we know
// that this delimiter is a row delimiter.
if (
strMatchedDelimiter.length &&
(strMatchedDelimiter != strDelimiter)
){
// Since we have reached a new row of data,
// add an empty row to our data array.
arrData.push( [] )
}
// Now that we have our delimiter out of the way,
// let's check to see which kind of value we
// captured (quoted or unquoted).
if (arrMatches[ 2 ]){
// We found a quoted value. When we capture
// this value, unescape any double quotes.
var strMatchedValue = arrMatches[ 2 ].replace(
new RegExp( "\"\"", "g" ),
"\""
)
} else {
// We found a non-quoted value.
var strMatchedValue = arrMatches[ 3 ]
}
// Now that we have our value string, let's add
// it to the data array.
arrData[ arrData.length - 1 ].push( strMatchedValue )
}
// Return the parsed data.
return( arrData )
}
</script>
前台可以通过JS过滤文件类型，如果是CSV，允许上传，如果不是，给出提示。 后台先上传文件，如果成功，记录成功数量，失败记录失败数量。（这里记住要先上传在解析， 外在因素可能导致多种失败的情况。） 具体信息可以让他下载后查看。
