在每份文件中
records
是一个包含许多重复对象的数组。
并且在buy_items
中还包含许多重复的项目。
我如何清理重复的项目?
原始文件:
{
"_id": "0005d116qwwewdq82a1b84f148fa6027d429f3e",
"records": [
{
"DATE": new Date("1996-02-08T08:00:00+0800"),
"buy_items": [
"5210 ",
"5210 ",
"5210 "
]
},
{
"DATE": new Date("1996-02-08T08:00:00+0800"),
"buy_items": [
"5210 ",
"5210 ",
"5210 "
]
}
{
"DATE": new Date("2012-12-08T08:00:00+0800"),
"buy_items": [
"5210 ",
"1234 ",
" "
]
}
]
}
预期输出:
{
"_id": "0005d116qwwewdq82a1b84f148fa6027d429f3e",
"records": [
{
"DATE": new Date("1996-02-08T08:00:00+0800"),
"buy_items": [
"5210 "
]
},
{
"DATE": new Date("2012-12-08T08:00:00+0800"),
"buy_items": [
"5210 ",
"1234 ",
" "
]
}
]
}
使用Michaels解决方案,输出可能如下所示
{
"_id": "0005d116qwwewdq82a1b84f148fa6027d429f3e",
"records": [
"date": new Date("1996-02-08T08:00:00+0800"),
"buy_items": [
"5210 "
"1234 ",
" "
]
]
}
答案 0 :(得分:3)
db.collection.aggregate(
[
{ $unwind: "$records" },
{ $unwind: "$records.buy_items" },
{ $group: { "_id": {id: "$_id", date: "$records.DATE" }, buy_items: { $addToSet: "$records.buy_items" }}},
{ $group: {"_id": "$_id.id", records: { $push: {"date": "$_id.date", "buy_items": "$buy_items" }}}}, { $sort: { "records.0.date": 1 }} ,
{ $out: "collection" }
]
)
$out
运算符允许您在指定集合中编写汇总结果,或替换您现有的集合。
使用"Bulk"操作
更好var bulk = bulk = db.collection.initializeOrderedBulkOp(),
count = 0;
db.collection.aggregate([
{ "$unwind": "$records" },
{ "$project": {
"date": "$records.DATE",
"buy_items": { "$setIntersection": "$records.buy_items" }
}},
{ "$unwind": "$buy_items" },
{ "$group": {
"_id": { "id": "$_id", "date": "$date" },
"buy_items": { "$addToSet": "$buy_items" }
}},
{ "$group": {
"_id": "$_id.id",
"records": { "$push": {
"date": "$_id.date",
"buy_items": "$buy_items"
}}
}}
]).forEach(function(doc) {
bulk.find({"_id": doc._id}).updateOne({
"$set": { "records": doc.records }
});
count++;
if (count % 500 == 0) {
bulk.execute();
bulk = db.collection.initializeOrderedBulkOp();
}
})
if (count % 500 != 0)
bulk.execute();
结果:
{
"_id" : "0005d116qwwewdq82a1b84f148fa6027d429f3e",
"records" : [
{
"date" : ISODate("2012-12-08T00:00:00Z"),
"buy_items" : [
" ",
"1234 ",
"5210 "
]
},
{
"date" : ISODate("1996-02-08T00:00:00Z"),
"buy_items" : [
"5210 "
]
}
]
}
答案 1 :(得分:1)
如果要更新当前集合而不创建新集合并删除以前的集合。我试过这个但是这样做你应该运行两个不同的更新命令。
首先使用records
更新distinct
,如下所示:
db.collectionName.update({},{"$set":{"records":db.collectionName.distinct('records')}})
和buy_items
的{{1}}的第二次更新,如下所示:
distinct
如果您想避免两次更新查询,请按照 Michael 回答。
答案 2 :(得分:1)
您可以尝试使用forEach()
游标的find()
方法迭代每个文档属性,检查唯一性并按如下方式过滤不同的值:
db.collection.find().forEach(function(doc){
var records = [], seen = {};
doc.records.forEach(function (item){
var uniqueBuyItems = item["buy_items"].filter(function(i, pos) {
return item["buy_items"].indexOf(i) == pos;
});
item["buy_items"] = uniqueBuyItems;
if (JSON.stringify(item["buy_items"]) !== JSON.stringify(seen["buy_items"])) {
records.push(item);
seen["buy_items"] = item["buy_items"];
}
});
doc.records = records;
db.collection.save(doc);
})