MongoDBと位置情報～地理空間インデックスの紹介

Dec 12, 201020 likes4,968 views

The document demonstrates various geospatial queries in MongoDB including indexing locations, saving a document with a location, and queries to find documents within a distance, box, or circle of a point. It shows how to find the nearest document to a point, limit the maximum distance, and use spherical geometry for more accurate distance calculations over large areas.

db.shopinfo.ensureIndex({

loc : "2d"
});

db.shopinfo.ensureIndex({
loc : "2d",
category: 1　
});

var lon = 139;
var lat = 35;

db.shopinfo.save({
name: '喫茶もんご',
category: ['喫茶店'],
loc: [lon, lat]

});

db.shopinfo.find({
loc : {
$near : [139.4, 35.4]
}
});

db.shopinfo.find({
loc : {
$near : [139.4, 35.4],
$maxDistance : 2
}
});

db.shopinfo.find({
loc : {
$near : [139.4, 35.4],
$maxDistance : 2
},
category: '喫茶店'
});

db.runCommand({
geoNear: "shopinfo",
near: [139.4, 35.4],
maxDistance: 2,
query: {category: '喫茶店'}
});

${ "ns" : "test.shopinfo", "near" : "1110100101001011000011000101000010111011111111011110", "results" : [{ "dis" : 0.5656861498877501, "obj" : { "_id" : ObjectId("4d01f5616919cb54afce6a77"), "name" : "喫茶もんご", "category" : ["喫茶店"], "loc" : [139, 35] } }], "stats" : { "time" : 0, "btreelocs" : 0, "nscanned" : 1, "objectsLoaded" : 1, "avgDistance" : 0.5656861498877501, "maxDistance" : 0.5656861498877501 }, "ok" : 1 }$

db.shopinfo.find({
loc : {
$within : {
$box : [[130, 30], [140, 35]]
}
}
});

db.shopinfo.find({
loc : {
$within : {
$center : [[135, 35], 4]
}
}
});

db.shopinfo.find({
loc : {
$nearSphere : [139.4, 35.4]
}
});

db.shopinfo.find({
loc : {
$within : {

$centerSphere : [[135, 35], 0.1]
}
}
});

db.runCommand({
geoNear: "shopinfo",
near: [135, 35],
query: {category: '喫茶店'},
spherical: true
});

"results" : [{
"dis" : 0.05718377899700883,
"obj" : {
"loc" : [139, 35]
}
}],

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MongoDBと位置情報～地理空間インデックスの紹介

9. db.shopinfo.ensureIndex({ loc : "2d" }); db.shopinfo.ensureIndex({ loc : "2d", category: 1　 });

10. var lon = 139; var lat = 35; db.shopinfo.save({ name: '喫茶もんご', category: ['喫茶店'], loc: [lon, lat] });

11. db.shopinfo.find({ loc: [139, 35] });

12. db.shopinfo.find({ loc : { $near : [139.4, 35.4] } });

13. db.shopinfo.find({ loc : { $near : [139.4, 35.4], $maxDistance : 2 } });

14. db.shopinfo.find({ loc : { $near : [139.4, 35.4], $maxDistance : 2 }, category: '喫茶店' });

15. db.runCommand({ geoNear: "shopinfo", near: [139.4, 35.4], maxDistance: 2, query: {category: '喫茶店'} });

16. { "ns" : "test.shopinfo", "near" : "1110100101001011000011000101000010111011111111011110", "results" : [{ "dis" : 0.5656861498877501, "obj" : { "_id" : ObjectId("4d01f5616919cb54afce6a77"), "name" : "喫茶もんご", "category" : ["喫茶店"], "loc" : [139, 35] } }], "stats" : { "time" : 0, "btreelocs" : 0, "nscanned" : 1, "objectsLoaded" : 1, "avgDistance" : 0.5656861498877501, "maxDistance" : 0.5656861498877501 }, "ok" : 1 }

18. db.shopinfo.find({ loc : { $within : { $box : [[130, 30], [140, 35]] } } }); db.shopinfo.find({ loc : { $within : { $center : [[135, 35], 4] } } });

25. db.shopinfo.find({ loc : { $nearSphere : [139.4, 35.4] } }); db.shopinfo.find({ loc : { $within : { $centerSphere : [[135, 35], 0.1] } } });

26. 1 = 6371 km

27. db.runCommand({ geoNear: "shopinfo", near: [135, 35], query: {category: '喫茶店'}, spherical: true }); "results" : [{ "dis" : 0.05718377899700883, "obj" : { "loc" : [139, 35] } }],

MongoDBと位置情報 ～地理空間インデックスの紹介

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