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  1. Drivers
  2. DRIVERS-448

Aggregation, runCommand, and index management examples for Docs

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      Here are the examples. They should be delimited with

      // Start <delimiter>
[code]
// End <delimiter>

      as has been done for the CRUD examples and such. I've attached the mongoexported datasets I used for the agg examples if one wants to make sure everything is working.

      Delimiter Shell Snippet Notes
      Aggregation Example 1 
      db.sales.aggregate(
  [
    { $match : { "items.fruit":"banana" } },
    { $sort : { "date" : 1 } }
])
      		Simple agg example
      Aggregation Example 2 
      db.sales.aggregate(
   [
      {
         $unwind: "$items"
      },
      { $match: {
         "items.fruit" : "banana",
      }},
      {
        $group : {
           _id : { day: { $dayOfWeek: "$date" } },
           count: { $sum: "$items.quantity" }
        }
      },
      {
        $project: {
          dayOfWeek: "$_id.day",
          numberSold: "$count",
          _id:0
        }
      },
      {
        $sort: { "numberSold": 1 }
      }
   ]
)
      		Aggregation - $match, $group, $project, $unwind, $sum, $sort, $dayOfWeek
      Aggregation Example 3 
      db.sales.aggregate([
  {
     $unwind: "$items"
  },
  {
    $group : {
       _id : { day : { $dayOfWeek : "$date" } },
       items_sold : { $sum : "$items.quantity" },
       revenue: { $sum : { $multiply : [ "$items.quantity", "$items.price" ] } }
    }
  },
  {
    $project : {
      day : "$_id.day",
      revenue : 1,
      items_sold : 1,
      discount: {
        $cond : { if : { $lte : [ "$revenue", 250 ] }, then : 25, else : 0 }
      }
    }
  }
 ])
      		Aggregation - $unwind, $group, $sum, $dayOfWeek, $multiply, $project, $cond.
      If you're testing this one, change $revenue, 250 to a smaller number since the dataset I've attached doesn't have that many documents currently
      Aggregation Example 4 
      db.air_alliances.aggregate( [
   {
      $lookup : {
        from : "air_airlines",
        let : { constituents: "$airlines" },
        pipeline : [
          {
            $match : { $expr : { $in : [ "$name", "$$constituents" ] } }
            }
        ],
        as : "airlines"
      }
   },
   {
     $project : {
       "_id" : 0,
       "name" : 1,
       airlines : {
          $filter : {
            input : "$airlines",
            as : "airline",
            cond : { $eq: ["$$airline.country", "Canada"] }
          }
       }
     }
   }
])
      		Aggregation - $lookup, $filter, $match
      runCommand Example 1 
      db.runCommand({buildInfo: 1})
      		  
      runCommand Example 2 
      db.runCommand({collStats:"restaurants"})
      		 No longer applicable. See DRIVERS-2232.
      Index Example 1 
      db.records.createIndex( { score: 1 } )
      		Indexes - builds simple ascending index
      Index Example 2 
      db.restaurants.createIndex(
   { cuisine: 1, name: 1 },
   { partialFilterExpression: { rating: { $gt: 5 } } }
)
      		Indexes - builds multikey index with partial filter expression

        1. sales.json
          1.0 kB
        2. air_alliances.json
          1 kB
        3. air_airlines.json
          1.02 MB

            Assignee:
            Unassigned Unassigned
            Reporter:
            rathi.gnanasekaran Rathi Gnanasekaran
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              Created:
              Updated:
              Resolved: