Javascript CouchDB在时间戳内获取结果

Javascript CouchDB在时间戳内获取结果,javascript,database,mapreduce,couchdb,couchdb-futon,Javascript,Database,Mapreduce,Couchdb,Couchdb Futon,我们有一个很好的小CouchDB,为使用我们网站的用户存储一些用户习惯数据。 示例条目如下所示: { "_id": "5a2711671b321c6295acfe04700e3d32", "_rev": "1-a74c2d88a8277d9ad7ceb74406c9bb9e", "search_term": "dream_theater", "timestamp": 1447255047, "session_id": "qjrsh7cq10oa9m1mebdikdc


我们有一个很好的小CouchDB,为使用我们网站的用户存储一些用户习惯数据。
示例条目如下所示:

{
   "_id": "5a2711671b321c6295acfe04700e3d32",
   "_rev": "1-a74c2d88a8277d9ad7ceb74406c9bb9e",
   "search_term": "dream_theater",
   "timestamp": 1447255047,
   "session_id": "qjrsh7cq10oa9m1mebdikdcvg3",
   "ip_address": "THE IP",
   "browser": "Safari",
   "browser_version": "9.0.1",
   "platform": "Macintosh",
   "service": [
   ],
   "content_type": [
   ],
   "language": "en",
   "limit": 100
}
"by_platform_browser": {
           "map": "function(doc) { if (doc.browser && doc.platform)  emit([doc.platform, doc.browser], 1) }",
           "reduce": "function(keys, values, rereduce) { return sum(values) }"
       }
"by_timestamp": {
    "map": "function(doc) {\n  emit(doc.timestamp, doc._id);\n}"
}
现在我编写了几个MapReduce函数来访问这个习惯数据并从中提取信息。一个例子如下所示:

{
   "_id": "5a2711671b321c6295acfe04700e3d32",
   "_rev": "1-a74c2d88a8277d9ad7ceb74406c9bb9e",
   "search_term": "dream_theater",
   "timestamp": 1447255047,
   "session_id": "qjrsh7cq10oa9m1mebdikdcvg3",
   "ip_address": "THE IP",
   "browser": "Safari",
   "browser_version": "9.0.1",
   "platform": "Macintosh",
   "service": [
   ],
   "content_type": [
   ],
   "language": "en",
   "limit": 100
}
"by_platform_browser": {
           "map": "function(doc) { if (doc.browser && doc.platform)  emit([doc.platform, doc.browser], 1) }",
           "reduce": "function(keys, values, rereduce) { return sum(values) }"
       }
"by_timestamp": {
    "map": "function(doc) {\n  emit(doc.timestamp, doc._id);\n}"
}
这会返回类似以下内容(group=true):

如您所见,每个习惯数据文档中都有一个时间戳字段。
现在谈谈我的问题本身:
如何在给定的时间内收集数据。比如从1447255000纪元开始,到1447266000纪元结束。
组合键时,无法使用该组。
还有别的办法解决这个问题吗

提前非常感谢//Jonas

您应该在视图中发出时间戳,如下所示:

{
   "_id": "5a2711671b321c6295acfe04700e3d32",
   "_rev": "1-a74c2d88a8277d9ad7ceb74406c9bb9e",
   "search_term": "dream_theater",
   "timestamp": 1447255047,
   "session_id": "qjrsh7cq10oa9m1mebdikdcvg3",
   "ip_address": "THE IP",
   "browser": "Safari",
   "browser_version": "9.0.1",
   "platform": "Macintosh",
   "service": [
   ],
   "content_type": [
   ],
   "language": "en",
   "limit": 100
}
"by_platform_browser": {
           "map": "function(doc) { if (doc.browser && doc.platform)  emit([doc.platform, doc.browser], 1) }",
           "reduce": "function(keys, values, rereduce) { return sum(values) }"
       }
"by_timestamp": {
    "map": "function(doc) {\n  emit(doc.timestamp, doc._id);\n}"
}
并且,要获取特定时间戳范围内的数据,请在查询中使用
startkey
endkey
属性。在浏览器中,你可以这样做,看看你是否得到了你想要的结果

http://127.0.0.1:5984/<DATABASE_NAME>/_design/<DESIGN_DOC_NAME>/_view/by_timestamp?startkey=1447255000&endkey=1447266000
http://127.0.0.1:5984//_design//_view/by_timestamp?startkey=1447255000&endkey=1447266000

让我知道这是否有帮助。

您应该在视图中发出时间戳,如下所示:

{
   "_id": "5a2711671b321c6295acfe04700e3d32",
   "_rev": "1-a74c2d88a8277d9ad7ceb74406c9bb9e",
   "search_term": "dream_theater",
   "timestamp": 1447255047,
   "session_id": "qjrsh7cq10oa9m1mebdikdcvg3",
   "ip_address": "THE IP",
   "browser": "Safari",
   "browser_version": "9.0.1",
   "platform": "Macintosh",
   "service": [
   ],
   "content_type": [
   ],
   "language": "en",
   "limit": 100
}
"by_platform_browser": {
           "map": "function(doc) { if (doc.browser && doc.platform)  emit([doc.platform, doc.browser], 1) }",
           "reduce": "function(keys, values, rereduce) { return sum(values) }"
       }
"by_timestamp": {
    "map": "function(doc) {\n  emit(doc.timestamp, doc._id);\n}"
}
并且,要获取特定时间戳范围内的数据,请在查询中使用
startkey
endkey
属性。在浏览器中,你可以这样做,看看你是否得到了你想要的结果

http://127.0.0.1:5984/<DATABASE_NAME>/_design/<DESIGN_DOC_NAME>/_view/by_timestamp?startkey=1447255000&endkey=1447266000
http://127.0.0.1:5984//_design//_view/by_timestamp?startkey=1447255000&endkey=1447266000
让我知道这是否有用