【发布时间】:2014-08-29 02:34:37
【问题描述】:
我的 Couch 数据库中有以下数据结构。
我需要每天计算不同的sessions_id 的数量。记录还必须按app_version 过滤。
我现在的 MapReduce 是这样的
"dau": {
"map": "function(doc) {
date = doc.session.timestamp.split("T")[0];
emit([date, doc.app_version, doc.session.session_id], 1);
}",
"reduce": "_count"
}
但这给了我如下输出
["2014-08-20", 2, "kOnNIhCNQ31LlkpEPQ7XnN1D"] 1 ["2014-08-20", 2, "TOnNIhCNQ31LlkpEPQ7XnN1D"] 2 ["2014-08-21", 2, "TOnNIhCNQ31LlkpEPQ7XnN1D"] 2
我需要将其打印为 - 因为这是每天唯一 session_ids 的数量
["2014-08-20", 2] 2 ["2014-08-21", 2] 1
关于如何做的任何想法?
任何帮助将不胜感激。
[
{
"app_version": 2,
"platform": "android",
"session": {
"timestamp": "2014-08-20T00:00:00.000Z",
"session_id": "TOnNIhCNQ31LlkpEPQ7XnN1D",
"ip": "202.150.213.66",
"location": "1.30324,103.5498"
}
},
{
"app_version": 2,
"platform": "android",
"session": {
"timestamp": "2014-08-21T00:00:00.000Z",
"session_id": "TOnNIhCNQ31LlkpEPQ7XnN1D",
"ip": "202.150.213.66",
"location": "1.30324,103.5498"
}
}
{
"app_version": 2,
"platform": "ios",
"session": {
"timestamp": "2014-08-21T00:00:00.000Z",
"session_id": "TOnNIhCNQ31LlkpEPQ7XnN1D",
"ip": "202.150.213.66",
"location": "1.30324,103.5498"
}
},
{
"app_version": 1,
"platform": "ios",
"session": {
"timestamp": "2014-08-21T00:00:00.000Z",
"session_id": "TOnNIhCNQ31LlkpEPQ7XnN1D",
"ip": "202.150.213.66",
"location": "1.30324,103.5498"
}
}
]
【问题讨论】: