如何有效地合并2个json文件的数据? [英] How can I efficiently join data of 2 json files?
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问题描述
我有2个json文件，这些文件是通过jquery导入的，并且基本上想将2个数组合并为1个数组.这是json文件的样子:
I have 2 json files that I import with jquery and basically want to join the 2 arrays into 1 array. This is what the json files look like:
players.json
players.json
{
"players": [
{
"id": 109191123,
"surname": "Farah",
"full_name": "Robbie Farah",
"short_name": "R. Farah",
"other_names": "Robert",
"jumper_number": 9,
"position_code": "CEN1",
"position_order": 9,
"position_description": "Hooker",
"is_captain": false,
"is_interchange": false
},
{
"id": 109509,
"surname": "Rapana",
"full_name": "Jordan Rapana",
"short_name": "J. Rapana",
"other_names": "Jordan",
"jumper_number": 1,
"position_code": "FBCK",
"position_order": 1,
"position_description": "Full Back",
"is_captain": false,
"is_interchange": false
},
{
"id": 111285,
"surname": "Waqa",
"full_name": "Sisa Waqa",
"short_name": "S. Waqa",
"other_names": "Sisa",
"jumper_number": 2,
"position_code": "WING1",
"position_order": 2,
"position_description": "Wing",
"is_captain": false,
"is_interchange": false
},
{
"id": 109861,
"surname": "Croker",
"full_name": "Jarrod Croker",
"short_name": "J. Croker",
"other_names": "Jarrod",
"jumper_number": 3,
"position_code": "CEN1",
"position_order": 3,
"position_description": "Centre",
"is_captain": true,
"is_interchange": false
},
{
"id": 112814,
"surname": "Lee",
"full_name": "Edrick Lee",
"short_name": "E. Lee",
"other_names": "Edrick",
"jumper_number": 5,
"position_code": "CEN2",
"position_order": 4,
"position_description": "Centre",
"is_captain": false,
"is_interchange": false
}
]
}
stats.json
stats.json
{
"player_stats": [
{
"id": 112814,
"matches": "123",
"tries": "11"
},
{
"id": 111285,
"matches": "234",
"tries": "22"
},
{
"id": 109861,
"matches": "345",
"tries": "33"
},
{
"id": 109509,
"matches": "456",
"tries": "44"
},
{
"id": 109510,
"matches": "567",
"tries": "55"
}
]
}
我目前正在寻求将数据合并到一个新数组中，因此其中一项看起来像:
I am currently looking to join the data into a new array so one of the items would look like:
{
player:'Lee',
matches:123,
tried:11
}
基本上从json文件中联接"两个数据.
Basically 'joining' two data from the json files.
当前有2个json文件的导入，然后遍历两个数组以尝试在id属性上找到匹配项. 有没有更有效的方法，最好是使用香草js/jquery?
Currently there is an import for the 2 json files and then looping over both arrays trying to find a match on the id-property. Is there a more efficient way of doing this preferably using vanilla js/jquery?
var players, stats, items = [];
$.getJSON("data/players.json", function (data) {
$.each(data, function (key, players) {
$.getJSON("data/stats.json", function (data) {
$.each(data, function (key, stats) {
//check stats available for players:
for (var i = 0; i < players.length; i++) {
for (var j = 0; j < stats.length; j++) {
var exists = items.some(function (item) {
return (item.player === players[i].full_name)
})
if (players[i].id === stats[j].id && !exists) {
items.push({
player: players[i].full_name,
matches: stats[j].matches,
tries: stats[j].tries,
})
}
}
}
});
});
});
});
推荐答案
var players = {
"players": [{
"id": 109191123,
"surname": "Farah",
"full_name": "Robbie Farah",
"short_name": "R. Farah",
"other_names": "Robert",
"jumper_number": 9,
"position_code": "CEN1",
"position_order": 9,
"position_description": "Hooker",
"is_captain": false,
"is_interchange": false
},
{
"id": 109509,
"surname": "Rapana",
"full_name": "Jordan Rapana",
"short_name": "J. Rapana",
"other_names": "Jordan",
"jumper_number": 1,
"position_code": "FBCK",
"position_order": 1,
"position_description": "Full Back",
"is_captain": false,
"is_interchange": false
},
{
"id": 111285,
"surname": "Waqa",
"full_name": "Sisa Waqa",
"short_name": "S. Waqa",
"other_names": "Sisa",
"jumper_number": 2,
"position_code": "WING1",
"position_order": 2,
"position_description": "Wing",
"is_captain": false,
"is_interchange": false
},
{
"id": 109861,
"surname": "Croker",
"full_name": "Jarrod Croker",
"short_name": "J. Croker",
"other_names": "Jarrod",
"jumper_number": 3,
"position_code": "CEN1",
"position_order": 3,
"position_description": "Centre",
"is_captain": true,
"is_interchange": false
},
{
"id": 112814,
"surname": "Lee",
"full_name": "Edrick Lee",
"short_name": "E. Lee",
"other_names": "Edrick",
"jumper_number": 5,
"position_code": "CEN2",
"position_order": 4,
"position_description": "Centre",
"is_captain": false,
"is_interchange": false
}
]
}
var stats = {
"player_stats": [{
"id": 112814,
"matches": "123",
"tries": "11"
},
{
"id": 111285,
"matches": "234",
"tries": "22"
},
{
"id": 109861,
"matches": "345",
"tries": "33"
},
{
"id": 109509,
"matches": "456",
"tries": "44"
},
{
"id": 109510,
"matches": "567",
"tries": "55"
}
]
}
var result = stats.player_stats.map(s => {
var match = players.players.find(p => p.id == s.id);
var name = "";
if (match) {
name = match.full_name;
}
return {
player: name,
matches: s.matches,
tries: s.tries
}
});
console.log(result)
.as-console-wrapper {
max-height: 100% !important;
top: 0;
}
如果需要它，以便在不匹配的情况下不包括在内，则可以将.map更改为
If you want it so that if there is no match it's not included you can change the .map to .reduce
var players = {
"players": [{
"id": 109191123,
"surname": "Farah",
"full_name": "Robbie Farah",
"short_name": "R. Farah",
"other_names": "Robert",
"jumper_number": 9,
"position_code": "CEN1",
"position_order": 9,
"position_description": "Hooker",
"is_captain": false,
"is_interchange": false
},
{
"id": 109509,
"surname": "Rapana",
"full_name": "Jordan Rapana",
"short_name": "J. Rapana",
"other_names": "Jordan",
"jumper_number": 1,
"position_code": "FBCK",
"position_order": 1,
"position_description": "Full Back",
"is_captain": false,
"is_interchange": false
},
{
"id": 111285,
"surname": "Waqa",
"full_name": "Sisa Waqa",
"short_name": "S. Waqa",
"other_names": "Sisa",
"jumper_number": 2,
"position_code": "WING1",
"position_order": 2,
"position_description": "Wing",
"is_captain": false,
"is_interchange": false
},
{
"id": 109861,
"surname": "Croker",
"full_name": "Jarrod Croker",
"short_name": "J. Croker",
"other_names": "Jarrod",
"jumper_number": 3,
"position_code": "CEN1",
"position_order": 3,
"position_description": "Centre",
"is_captain": true,
"is_interchange": false
},
{
"id": 112814,
"surname": "Lee",
"full_name": "Edrick Lee",
"short_name": "E. Lee",
"other_names": "Edrick",
"jumper_number": 5,
"position_code": "CEN2",
"position_order": 4,
"position_description": "Centre",
"is_captain": false,
"is_interchange": false
}
]
}
var stats = {
"player_stats": [{
"id": 112814,
"matches": "123",
"tries": "11"
},
{
"id": 111285,
"matches": "234",
"tries": "22"
},
{
"id": 109861,
"matches": "345",
"tries": "33"
},
{
"id": 109509,
"matches": "456",
"tries": "44"
},
{
"id": 109510,
"matches": "567",
"tries": "55"
}
]
}
var result = stats.player_stats.reduce((a, s) => {
var match = players.players.find(p => p.id == s.id);
if (match) {
a.push({
player: match.full_name,
matches: s.matches,
tries: s.tries
})
}
return a;
}, []);
console.log(result)
.as-console-wrapper {
max-height: 100% !important;
top: 0;
}
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