In MongoDB, if I were to store an array (say [\"red\", \"blue\"]
) in a field \"color\"
, does it index \"red\"
and \"blue\"
so
When it comes to indexing arrays, MongoDB indexes each value of the array so you can query for individual items, such as "red." For example:
> db.col1.save({'colors': ['red','blue']})
> db.col1.ensureIndex({'colors':1})
> db.col1.find({'colors': 'red'})
{ "_id" : ObjectId("4ccc78f97cf9bdc2a2e54ee9"), "colors" : [ "red", "blue" ] }
> db.col1.find({'colors': 'blue'})
{ "_id" : ObjectId("4ccc78f97cf9bdc2a2e54ee9"), "colors" : [ "red", "blue" ] }
For more information, check out MongoDB's documentation on Multikeys: http://www.mongodb.org/display/DOCS/Multikeys
You can simply test index usage by appending "explain" to your query:
> db.col1.save({'colors': ['red','blue']})
# without index
> db.col1.find({'colors': 'red'}).explain()
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "protrain.col1",
"indexFilterSet" : false,
"parsedQuery" : {
"colors" : {
"$eq" : "red"
}
},
"winningPlan" : {
"stage" : "COLLSCAN", <--- simple column scan
"filter" : {
"colors" : {
"$eq" : "red"
}
},
"direction" : "forward"
},
"rejectedPlans" : [ ]
},
"serverInfo" : {
"host" : "bee34f15fe28",
"port" : 27017,
"version" : "3.4.4",
"gitVersion" : "888390515874a9debd1b6c5d36559ca86b44babd"
},
"ok" : 1
}
# query with index
> db.col1.createIndex( { "colors":1 } )
> db.col1.find({'colors': 'red'}).explain()
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "protrain.col1",
"indexFilterSet" : false,
"parsedQuery" : {
"colors" : {
"$eq" : "red"
}
},
"winningPlan" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN", <!---- INDEX HAS BEEN USED
"keyPattern" : {
"colors" : 1
},
"indexName" : "colors_1",
"isMultiKey" : true,
"multiKeyPaths" : {
"colors" : [
"colors"
]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"colors" : [
"[\"red\", \"red\"]"
]
}
}
},
"rejectedPlans" : [ ]
},
"serverInfo" : {
"host" : "bee34f15fe28",
"port" : 27017,
"version" : "3.4.4",
"gitVersion" : "888390515874a9debd1b6c5d36559ca86b44babd"
},
"ok" : 1
}
For structures where you have structured indexes, you could use the array position to index fields inside arrays:
{
'_id': 'BB167E2D61909E848EBC96C7B33251AC',
'hist': {
'map': {
'10': 1
}
},
'wayPoints': [{
'bhf_name': 'Zinsgutstr.(Berlin)',
'ext_no': 900180542,
'lat': 52.435158,
'lon': 13.559086,
'puic': 86,
'time': {
'dateTime': '2018-01-10T09: 38: 00',
'offset': {
'totalSeconds': 3600
}
},
'train_name': 'Bus162'
},
{
'bhf_name': 'SAdlershof(Berlin)',
'ext_no': 900193002,
'lat': 52.435104,
'lon': 13.54055,
'puic': 86,
'time': {
'dateTime': '2018-01-10T09: 44: 00',
'offset': {
'totalSeconds': 3600
}
},
'train_name': 'Bus162'
}]
}
db.col.createIndex( { "wayPoints.0.ext_no":1 } )
db.col.createIndex( { "wayPoints.0.train_name":1 } )
db.col.createIndex( { "wayPoints.1.ext_no":1 } )
db.col.createIndex( { "wayPoints.1.train_name":1 } )
> db.col.find(
... {
... "wayPoints.ext_no": 900180542
... }
... ,
... {
... "wayPoints.ext_no":1,
... "wayPoints.train_name":1,
... "wayPoints.time":1
... }
... ).explain()
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "db.col",
"indexFilterSet" : false,
"parsedQuery" : {
"wayPoints.ext_no" : {
"$eq" : 900180542
}
},
"winningPlan" : {
"stage" : "PROJECTION",
"transformBy" : {
"wayPoints.ext_no" : 1,
"wayPoints.train_name" : 1,
"wayPoints.time" : 1
},
"inputStage" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"wayPoints.ext_no" : 1
},
"indexName" : "wayPoints.ext_no_1",
"isMultiKey" : true,
"multiKeyPaths" : {
"wayPoints.ext_no" : [
"wayPoints"
]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"wayPoints.ext_no" : [
"[900180542.0, 900180542.0]"
]
}
}
}
},
"rejectedPlans" : [ ]
},
"serverInfo" : {
"host" : "bee34f15fe28",
"port" : 27017,
"version" : "3.4.4",
"gitVersion" : "888390515874a9debd1b6c5d36559ca86b44babd"
},
"ok" : 1
}