MongoDB - Beispiel zum Gruppieren, Zählen und Sortieren

Einige MongoDB-Beispiele, die Ihnen zeigen, wie Sie eine Abfrage nach Gruppen, Zählern und Sortierern durchführen.

1. Testdaten

Die Sammlung vonwhois_rangeenthält viele Datensätze.

> db.whois_range.find();
{
    "_id" : 1,
    "country" : "us",
    "source" : "ARIN",
    "status" : "NEW",
    "createdDate" : ISODate("2016-05-03T08:52:32.434Z")
},
{
    "_id" : 2,
    "country" : "us",
    "source" : "ARIN",
    "status" : "NEW",
    "createdDate" : ISODate("2016-05-03T09:52:32.434Z")
},
{
    "_id" : 3,
    "country" : "cn",
    "source" : "APNIC",
    "status" : "NEW",
    "createdDate" : ISODate("2016-05-03T10:52:32.434Z")
},
{
    "_id" : 4,
    "country" : "eu",
    "source" : "RIPE",
    "status" : "NEW",
    "createdDate" : ISODate("2016-05-03T10:52:32.434Z")
},
{...}

P.S “Source” = RIPE, AFRINIC, KRNIC, LACNIC, APNIC, JPNIC and ARIN

2. Beispiel für Gruppen und Zählungen

Gruppieren Sie nach "Quelle" und zählen Sie die Gesamtzahl der "Quelle".

> db.whois_range.aggregate([
        {"$group" : {_id:"$source", count:{$sum:1}}}
    ])

{ "_id" : "RIPE", "count" : 29270 }
{ "_id" : "AFRINIC", "count" : 1326 }
{ "_id" : "KRNIC", "count" : 105 }
{ "_id" : "LACNIC", "count" : 5889 }
{ "_id" : "APNIC", "count" : 6644 }
{ "_id" : "JPNIC", "count" : 167 }
{ "_id" : "ARIN", "count" : 25429 }

3. Beispiel für Gruppierung nach mehreren IDs

Gruppieren Sie nach zwei IDs: "Quelle" und "Status".

> db.whois_range.aggregate([
        {"$group" : {_id:{source:"$source",status:"$status"}, count:{$sum:1}}} ])
    ])

{ "_id" : { "source" : "RIPE", "status" : "NEW" }, "count" : 29260 }
{ "_id" : { "source" : "RIPE", "status" : "ERROR" }, "count" : 10 }
{ "_id" : { "source" : "LACNIC", "status" : "NEW" }, "count" : 5889 }
{ "_id" : { "source" : "KRNIC", "status" : "NEW" }, "count" : 105 }
{ "_id" : { "source" : "APNIC", "status" : "NEW" }, "count" : 6644 }
{ "_id" : { "source" : "AFRINIC", "status" : "NEW" }, "count" : 1326 }
{ "_id" : { "source" : "JPNIC", "status" : "NEW" }, "count" : 167 }
{ "_id" : { "source" : "ARIN", "status" : "NEW" }, "count" : 25420 }
{ "_id" : { "source" : "ARIN", "status" : "DONE" }, "count" : 9 }

3. Beispiel für Gruppieren, Zählen und Sortieren

3.1 Group by two ids: “source” and “status”, count the total number of records, and sort by “source”.

> db.whois_range.aggregate([
    {"$group" :
        {_id:{source:"$source",status:"$status"}, count:{$sum:1}}
    },
    {$sort:{"_id.source":1}}
])

{ "_id" : { "source" : "AFRINIC", "status" : "NEW" }, "count" : 1326 }
{ "_id" : { "source" : "APNIC", "status" : "NEW" }, "count" : 6644 }
{ "_id" : { "source" : "ARIN", "status" : "NEW" }, "count" : 25420 }
{ "_id" : { "source" : "ARIN", "status" : "DONE" }, "count" : 9 }
{ "_id" : { "source" : "JPNIC", "status" : "NEW" }, "count" : 167 }
{ "_id" : { "source" : "KRNIC", "status" : "NEW" }, "count" : 105 }
{ "_id" : { "source" : "LACNIC", "status" : "NEW" }, "count" : 5889 }
{ "_id" : { "source" : "RIPE", "status" : "NEW" }, "count" : 29260 }
{ "_id" : { "source" : "RIPE", "status" : "ERROR" }, "count" : 10 }

3.2 Sort by “count”, descending order.

> db.whois_range.aggregate([
    {"$group" :
        {_id:{source:"$source",status:"$status"}, count:{$sum:1}}
    },
    {$sort:{"count":-1}}
])

{ "_id" : { "source" : "RIPE", "status" : "NEW" }, "count" : 29260 }
{ "_id" : { "source" : "ARIN", "status" : "NEW" }, "count" : 25420 }
{ "_id" : { "source" : "APNIC", "status" : "NEW" }, "count" : 6644 }
{ "_id" : { "source" : "LACNIC", "status" : "NEW" }, "count" : 5889 }
{ "_id" : { "source" : "AFRINIC", "status" : "NEW" }, "count" : 1326 }
{ "_id" : { "source" : "JPNIC", "status" : "NEW" }, "count" : 167 }
{ "_id" : { "source" : "KRNIC", "status" : "NEW" }, "count" : 105 }
{ "_id" : { "source" : "RIPE", "status" : "ERROR" }, "count" : 10 }
{ "_id" : { "source" : "ARIN", "status" : "DONE" }, "count" : 9 }

Erledigt.

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MongoDB - Beispiel zum Gruppieren, Zählen und Sortieren