Created
August 24, 2022 03:36
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MongoDB / Mongo aggregate example - mapReduce, aggregate query
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db.getCollection('routes').aggregate([ | |
{ | |
$match: {city: 'Pune', transport: 'subway'} | |
}, | |
{ | |
$project: {emit: {key: {city: '$city', transport: '$transport'}, features: '$featureCollection.features'}} | |
}, | |
{ | |
$group: { | |
_id: "$emit.key", | |
routes: { | |
$accumulator: { | |
init: function() { return []; }, | |
accumulate: function(state, value) { return Object.assign([], state, value); }, | |
accumulateArgs: [ "$emit.features" ], | |
merge: function(state1, state2) { return Object.assign([], state1, state2); }, | |
finalize: function(state) { | |
return state.filter(function(item){ return item.properties.type === 'relation' }) | |
.map(function(item){ | |
return { | |
id: item.properties.id, | |
name: item.properties.tags.name, | |
from: item.properties.tags.from, | |
to: item.properties.tags.to, | |
network: item.properties.tags.network, | |
operator: item.properties.tags.operator, | |
geometry: item.geometry, | |
stops: state.filter(function(stop){ | |
return stop.properties.type === 'node' && stop.properties.relations.find(function(relation){ | |
return relation.rel === item.properties.id; | |
}) | |
}).map(function(stop){ | |
return { | |
id: stop.properties.id, | |
name: stop.properties.tags.name, | |
location: stop.geometry, | |
} | |
}) | |
} | |
}) | |
} | |
} | |
} | |
} | |
} | |
]) |
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