I have events in a collection, each containing a desired location, set a GeoJSON Polygon.
I also have service providers in another collection, also with a GeoJSON Polygon, indicating the area where they can deliver.
For a given service provider, I'm trying to list all the events that are in a compatible area.
However, I get this error:
Malformed geo query: { $geoIntersects: { $geometry: { type: "Polygon", coordinates: [ [ [ -31.59327575763251, 115.8574693000001 ], [ -31.59676306691357, 115.9162469300458 ], [ -31.60715789289806, 115.9738935747774 ], ...
My Polygons are closed (first and last coords are identical), so that's not coming from there.
Here are the events:
Events:
[
{
"_id": "5237d4bd9899e67c0e000004",
"area": "area",
"authtoken": "e3bf38ff9a1f132a7cc86ea045cf3951",
"budget": 1800,
"creation_date": {
"sec": 1379390653,
"usec": 0
},
"description": "Banana banana banana banana banana banana banana banana bananaaaaaaaaaaaaaaaaa!!!",
"ends": {
"sec": 1383343200,
"usec": 0
},
"geo": {
"type": "Polygon",
"coordinates": [
[
[
-33.740154878816,
150.9241267
],
[
-33.741901642057,
150.95422987078
],
[
-33.747108144055,
150.98375074498
],
[
-33.755673663135,
151.01211808166
],
[
-33.767432456928,
151.03878255704
],
[
-33.782156913661,
151.0632272399
],
[
-33.799561885809,
151.08497749366
],
[
-33.819310129033,
151.10361012448
],
[
-33.841018749004,
151.11876160464
],
[
-33.819310129033,
150.74464327552
],
[
-33.799561885809,
150.76327590634
],
[
-33.782156913661,
150.7850261601
],
[
-33.767432456928,
150.80947084296
],
[
-33.755673663135,
150.83613531834
],
[
-33.747108144055,
150.86450265502
],
[
-33.741901642057,
150.89402352922
],
[
-33.740154878816,
150.9241267
]
]
]
},
"guests": 180,
"loc": {
"city": "Liverpool",
"state": "NSW",
"country": "AU",
"lat": -33.9200192,
"lng": 150.9241267,
"timezone": "Australia\/Sydney"
},
"name": "Bananaaaaaaaa!",
"services": [
{
"creation_date": {
"sec": 1379390661,
"usec": 0
},
"data": {
"name": "Bananaaaaaaaaaaa!!!!!",
"request": "Banana!",
"description": " banana banana banana banana banana banana banana banana banana",
"budget": "1400"
},
"event": "aaca6751-75b2-4cd9-a76a-99d4ee56fb6a",
"service": "a9fe4bd0-d4f2-4f2c-8b81-4899ac19c44f",
"uid": "0d92f274-67a3-4d2f-b1c8-d771fd84c113",
"uuid": "15ceedd5-608b-48e4-8a05-b60ee4c4c5bb",
"type": "Food & Drinks"
}
],
"starts": {
"sec": 1383300000,
"usec": 0
},
"type": {
"_id": "521666701e6accf7afc1a0e3",
"icon": "uploads\/event-types\/icon-3891a6f4-760f-43f2-ab3a-a51c61fd8d0d.png?rnd=0.6323562911552134",
"name": "Meeting",
"uuid": "3891a6f4-760f-43f2-ab3a-a51c61fd8d0d"
},
"uid": "0d92f274-67a3-4d2f-b1c8-d771fd84c113",
"uuid": "aaca6751-75b2-4cd9-a76a-99d4ee56fb6a",
"within": {
"km": 20,
"addr": "liverpool, nsw"
}
},
{
"_id": "5237d50a9899e67c0e000005",
"area": "area",
"authtoken": "e3bf38ff9a1f132a7cc86ea045cf3951",
"budget": 1800,
"creation_date": {
"sec": 1379390730,
"usec": 0
},
"description": "Boo!!!",
"ends": {
"sec": 1383285600,
"usec": 0
},
"geo": {
"type": "Polygon",
"coordinates": [
[
[
-32.086853059112,
116.0081156
],
[
-32.088163946126,
116.03027505189
],
[
-32.092071203806,
116.05200507521
],
[
-32.098499107954,
116.07288445521
],
[
-32.1073230624,
116.09250825588
],
[
-32.118371984525,
116.11049558927
],
[
-32.131431584032,
116.12649694645
],
[
-32.146248475035,
116.14020095399
],
[
-32.330851613336,
116.10195418015
],
[
-32.289125251893,
115.86992020233
],
[
-32.2721989398,
115.86018847275
],
[
-32.254291845681,
115.85334073219
],
[
-32.235752983166,
115.84950870874
],
[
-32.098499107954,
115.94334674479
],
[
-32.092071203806,
115.96422612479
],
[
-32.088163946126,
115.98595614811
],
[
-32.086853059112,
116.0081156
]
]
]
},
"guests": 700,
"loc": {
"city": "Byford",
"state": "WA",
"country": "AU",
"zipcode": "6122",
"lat": -32.2217513,
"lng": 116.0081156,
"timezone": "Australia\/Perth"
},
"name": "Halloween",
"services": [
{
"creation_date": {
"sec": 1379390749,
"usec": 0
},
"data": {
"name": "Badass lighting",
"description": "Boom! I want that!",
"type": [
"Furniture",
"Lighting\/lasers",
"LED screens",
"Dancefloor"
],
"budget": "800"
},
"event": "a6c28e98-b647-4224-8bff-f0b7e5c453c3",
"service": "4d4f370e-5780-4794-b988-df9d7a9ed644",
"uid": "0d92f274-67a3-4d2f-b1c8-d771fd84c113",
"uuid": "217c4896-a986-4c0a-a6c7-46c9aa74cf27",
"type": "Equipment Hire"
}
],
"starts": {
"sec": 1383256800,
"usec": 0
},
"type": {
"_id": "521666701e6accf7afc1a0e3",
"icon": "uploads\/event-types\/icon-3891a6f4-760f-43f2-ab3a-a51c61fd8d0d.png?rnd=0.6323562911552134",
"name": "Meeting",
"uuid": "3891a6f4-760f-43f2-ab3a-a51c61fd8d0d"
},
"uid": "0d92f274-67a3-4d2f-b1c8-d771fd84c113",
"uuid": "a6c28e98-b647-4224-8bff-f0b7e5c453c3",
"within": {
"km": 15,
"addr": "byford"
}
}
]
And here is my query object:
db.events.find({
"geo": {
"$geoIntersects": {
"$geometry": {
"type": "Polygon",
"coordinates": [
[
[
-31.593275757633,
115.8574693
],
[
-31.596763066914,
115.91624693005
],
[
-32.087153956437,
116.25114123685
],
[
-32.13233852915,
116.22535569049
],
[
-32.174036124673,
116.19236795072
],
[
-32.304841443191,
115.76898154226
],
[
-32.290955790481,
115.7119268346
],
[
-31.841206471153,
115.45474133646
],
[
-31.794742552646,
115.4770638401
],
[
-31.751364552714,
115.50675244396
],
[
-31.711911850434,
115.5432228167
],
[
-31.677146863424,
115.58576206658
],
[
-31.607157892898,
115.74104502522
],
[
-31.596763066914,
115.79869166995
],
[
-31.593275757633,
115.8574693
]
]
]
}
}
}
})
What am I missing?
My query seems to be identical to the official mongodb doc for geo queries.
Thanks in advance!
Your coordinates are specified as [latitude, longitude]. MongoDB requires that you specify coordinates in the opposite order for 2dsphere geometry: [longitude, latitude].
Your query worked for me once I swapped the coordinate order.
Related
i'm running node-fhir-server-mongo(Asymmetrik github repo)..when i put resource using PUT method and it stores in mongodb...everything works fine...but the data is partially stored...when i try to access the data i stored in database it only shows few pieces only...
below code is the data i want to store..
{
"resourceType": "Patient",
"id": "example3",
"text": {
"status": "generated",
},
"identifier": [
{
"use": "usual",
"type": {
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v2-0203",
"code": "MR"
}
]
},
"system": "urn:oid:1.2.36.146.595.217.0.1",
"value": "12345",
"period": {
"start": "2001-05-06"
},
"assigner": {
"display": "Acme Healthcare"
}
}
],
"active": true,
"name": [
{
"use": "official",
"family": "Chalmers",
"given": [
"Peter",
"James"
]
},
{
"use": "usual",
"given": [
"Jim"
]
},
{
"use": "maiden",
"family": "Windsor",
"given": [
"Peter",
"James"
],
"period": {
"end": "2002"
}
}
],
"telecom": [
{
"use": "home"
},
{
"system": "phone",
"value": "(03) 5555 6473",
"use": "work",
"rank": 1
},
{
"system": "phone",
"value": "(03) 3410 5613",
"use": "mobile",
"rank": 2
},
{
"system": "phone",
"value": "(03) 5555 8834",
"use": "old",
"period": {
"end": "2014"
}
}
],
"gender": "male",
"birthDate": "1974-12-25",
"_birthDate": {
"extension": [
{
"url": "http://hl7.org/fhir/StructureDefinition/patient-birthTime",
"valueDateTime": "1974-12-25T14:35:45-05:00"
}
]
},
"deceasedBoolean": false,
"address": [
{
"use": "home",
"type": "both",
"text": "534 Erewhon St PeasantVille, Rainbow, Vic 3999",
"line": [
"534 Erewhon St"
],
"city": "PleasantVille",
"district": "Rainbow",
"state": "Vic",
"postalCode": "3999",
"period": {
"start": "1974-12-25"
}
}
],
"contact": [
{
"relationship": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v2-0131",
"code": "N"
}
]
}
],
"name": {
"family": "du Marché",
"_family": {
"extension": [
{
"url": "http://hl7.org/fhir/StructureDefinition/humanname-own-prefix",
"valueString": "VV"
}
]
},
"given": [
"Bénédicte"
]
},
"telecom": [
{
"system": "phone",
"value": "+33 (237) 998327"
}
],
"address": {
"use": "home",
"type": "both",
"line": [
"534 Erewhon St"
],
"city": "PleasantVille",
"district": "Rainbow",
"state": "Vic",
"postalCode": "3999",
"period": {
"start": "1974-12-25"
}
},
"gender": "female",
"period": {
"start": "2012"
}
}
],
"managingOrganization": {
"reference": "Organization/1"
} }
and the actual data is stored on the mongodb is....
_id: "example3" id: "example3" meta: Object versionId: "1" lastUpdated: "2022-06-28T08:44:44+00:00" resourceType: "Patient"
if anyone know the answer or how to solve please let me know....thanks in advance!
The filteredAccording part and the categorizedBy is working as expected using the query which I provided in the link but I am facing issues in the findDistinct part.
In mongodb I have the following data:
{
"_id": 10001,
"university": "SPYU",
"Courses": [
"English",
"French"
],
"dept": [
"Literature"
],
"type": [
"Autonomous"
],
"status": "ACTIVE",
"isMarked": true
},
{
"_id": 10002,
"university": "SPYU",
"Courses": [
"English",
"French"
],
"dept": [
"Literature"
],
"type": [
"Autonomous"
],
"status": "NON-ACTIVE",
"isMarked": true
}
I wanted the response to be:
"university": [
{
"name": "Literature",
"values": [
{
"_id": 10001,
"university": "SPYU",
"Courses": [
"English",
"French"
],
"dept": [
"Literature"
],
"type": [
"Autonomous"
],
"status": "ACTIVE",
"isMarked": true
},
{
"_id": 10002,
"university": "SPYU",
"Courses": [
"English",
"French"
],
"dept": [
"Literature"
],
"type": [
"Autonomous"
],
"status": "NON-ACTIVE",
"isMarked": true
}
]
}
],
"findDistinct": [
{
"name": "Courses",
"values": [
"English",
"French"
]
},
{
"name": "Status",
"values": [
"ACTIVE",
"NON-ACTIVE"
]
}
]
I tried it using this link but the response is not coming as expected.
https://mongoplayground.net/p/XECZvRMmt3T
Right now, the response is coming like this
"universities": [
{
"name": "Literature",
"values": [
{
"_id": 10001,
"university": "SPYU",
"Courses": [
"English",
"French"
],
"dept": [
"Literature"
],
"type": [
"Autonomous"
],
"status": "ACTIVE",
"isMarked": true
},
{
"_id": 10002,
"university": "SPYU",
"Courses": [
"English",
"French"
],
"dept": [
"Literature"
],
"type": [
"Autonomous"
],
"status": "NON-ACTIVE",
"isMarked": true
}
]
}
],
"findDistinct": [
{
"Courses": [
"English",
"French"
]
},
{
"status": [
"ACTIVE",
"NON-ACTIVE"
]
}
]
Any Help will be appreciated!!
Quick fixes in your query,
universities:
$addFields, remove $project and add only one operation for isMarked
$unwind deconstruct dept array
$group by dept and get values array of root
findDistinct:
$group by null and get unique courses array and status
$reduce to iterate loop of Courses nested array and get unique array using $setUnion
Make array of course and status in dest field
$unwind deconstruct dest array
$replaceRoot replace dest object to root
db.collection.aggregate([
{ $match: { university: "SPYU" }
},
{
$facet: {
universities: [
{ $addFields: { isMarked: { $in: ["French", "$Courses"] } } },
{ $unwind: "$dept" },
{
$group: {
_id: "$dept",
values: { $push: "$$ROOT" }
}
}
],
findDistinct: [
{
$group: {
_id: null,
Courses: { $addToSet: "$Courses" },
Status: { $addToSet: "$status" }
}
},
{
$project: {
_id: 0,
dist: [
{
name: "Courses",
values: {
$reduce: {
input: "$Courses",
initialValue: [],
in: { $setUnion: ["$$this", "$$value"] }
}
}
},
{
name: "Status",
values: "$Status"
}
]
}
},
{ $unwind: "$dist" },
{ $replaceRoot: { newRoot: "$dist" } }
]
}
}
])
Playground
I have a bus network with 2 GeoJSONs : one for stations (points) and the other for lines between them.
I have 3 selects :first one to select the bus line and filter the stations on the other two that are for origin and destination stations.
What I want to do is to dynamically filter the bus lines on the first select and the bus stations on the last two selects.
Something like this :
User selects L1 on first select > Map only shows Line 1 (both geojsons, points and lines) and hide the other Lines that were showing.
User selects Station x on select 2 and Station y on select 3 > Map only shows these stations and the ones in between (both geojsons, points and lines).
Stations GeoJSON (not complete) :
var station ={
"type": "FeatureCollection",
"name": "test",
"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
"features": [
{ "type": "Feature", "properties": { "id": 0, "nom": "JAMAA EL FNA", "ligne": "L1", "ville": "MARRAKECH", "direction": "A" }, "geometry": { "type": "Point", "coordinates": [ -7.991506070410076, 31.624380871588261 ] } },
{ "type": "Feature", "properties": { "id": 1, "nom": "KOUTOUBIA", "ligne": "L1", "ville": "MARRAKECH", "direction": "A" }, "geometry": { "type": "Point", "coordinates": [ -7.993921192850516, 31.62551706188404 ] } },
{ "type": "Feature", "properties": { "id": 2, "nom": "HOTE DE VILLE", "ligne": "L1", "ville": "MARRAKECH", "direction": "A" }, "geometry": { "type": "Point", "coordinates": [ -7.997800602958748, 31.627492814514493 ] } },
{ "type": "Feature", "properties": { "id": 3, "nom": "R.P BERDII", "ligne": "L1", "ville": "MARRAKECH", "direction": "A" }, "geometry": { "type": "Point", "coordinates": [ -8.003733858117105, 31.630010280990067 ] } },
{ "type": "Feature", "properties": { "id": 4, "nom": "GRAND POSTE", "ligne": "L1", "ville": "MARRAKECH", "direction": "A" }, "geometry": { "type": "Point", "coordinates": [ -8.009040991276375, 31.633004916540266 ] } },
{ "type": "Feature", "properties": { "id": 5, "nom": "CAREE EDEN", "ligne": "L1", "ville": "MARRAKECH", "direction": "A" }, "geometry": { "type": "Point", "coordinates": [ -8.011327830139466, 31.634311225216251 ] } },....
Lines GeoJSON (not complete) :
var lignemarrakech = {
"type": "FeatureCollection",
"name": "ligne",
"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
"features": [
{ "type": "Feature", "properties": { "id": 0, "ligne_bus": "L1", "direction": "A", "from_st": null, "to_st": null, "ville": "MARRAKECH" }, "geometry": { "type": "LineString", "coordinates": [ [ -7.991506070410076, 31.624380871588261 ], [ -7.99177772113954, 31.62455510452893 ], [ -7.992132146977649, 31.624680377597475 ], [ -7.992359514496435, 31.624737319845583 ], [ -7.992653754814866, 31.624862592668791 ], [ -7.993295733691442, 31.625147303003317 ], [ -7.993583286729908, 31.625306740410121 ], [ -7.993921192850516, 31.62551706188404 ] ] } },
{ "type": "Feature", "properties": { "id": 1, "ligne_bus": "L1", "direction": "A", "from_st": null, "to_st": null, "ville": "MARRAKECH" }, "geometry": { "type": "LineString", "coordinates": [ [ -7.993929771507931, 31.625520494421043 ], [ -7.993921192850516, 31.62551706188404 ], [ -7.994251765813826, 31.625734485234361 ], [ -7.994613027718003, 31.625968537122866 ], [ -7.994699416434219, 31.626022034614714 ], [ -7.995311990967388, 31.626396516196305 ], [ -7.995618278233972, 31.626550320694935 ], [ -7.995971686618494, 31.626730873477591 ], [ -7.99655284707304, 31.627018419778416 ], [ -7.997188982165176, 31.627279216817595 ], [ -7.997597365187289, 31.627433019856959 ], [ -7.997800602958748, 31.627492814514493 ] ] } },
{ "type": "Feature", "properties": { "id": 2, "ligne_bus": "L1", "direction": "A", "from_st": null, "to_st": null, "ville": "MARRAKECH" }, "geometry": { "type": "LineString", "coordinates": [ [ -7.997800602958748, 31.627492814514493 ], [ -7.998131404523898, 31.627586822642048 ], [ -7.998704711458787, 31.62774731223368 ], [ -7.999246604315053, 31.627847618087841 ], [ -7.999898446446502, 31.627981359058502 ], [ -8.000487460420704, 31.628188657183067 ], [ -8.001194277189745, 31.628529695028082 ], [ -8.001987482675004, 31.628984410209988 ], [ -8.00258435016886, 31.629345505977 ], [ -8.002796395199573, 31.629499305600273 ], [ -8.002835662797853, 31.629606296492579 ], [ -8.002859223356822, 31.629659791892589 ], [ -8.002906344474757, 31.629686539581062 ], [ -8.002984879671317, 31.629726661099347 ], [ -8.00307912190719, 31.629733348017368 ], [ -8.003181217662718, 31.629726661099347 ], [ -8.003401116213087, 31.629820277908031 ], [ -8.003733858117105, 31.630010280990067 ] ] } },...
This is what I could do for the first select :
$('#selectLine').on('change', function() {
console.log("chosen_line= " + this.value);
chosen_line = this.value;
filterLines();
if (chosen_line= 'L1'){
L.geoJSON(lignemarrakech, {
filter: function(feature, layer) {
return feature.properties.ligne='L1';
}
}).addTo(mymap);
}
else{
}
});
Beside the fact that it's not generalised, it doesn't work as intended (show only L1 when L1 is selected), it just display all the lines again on top.
if (chosen_line= 'L1')
should be
if (chosen_line == 'L1')
Google Analytics API documentation shows that, for fetching the lifetime values, the date ranges should not be specified. But when I make such a request (without date range), it returns empty dimension and metrics result. But when I use date range, it returns dimension and metrics values for that date range.
The following is an excerpt from the API documentation :
Date ranges should not be specified for cohorts or Lifetime value
requests.
For example, if I make the request without date range, as follows:
{
"reportRequests": [
{
"viewId": "XXXXXXXXX",
"dimensions": [
{
"name": "ga:date"
},
{
"name": "ga:eventLabel"
}
],
"metrics": [
{
"expression": "ga:totalEvents"
}
]
}
]
}
I get the following response:
{
"reports": [
{
"columnHeader": {
"dimensions": [
"ga:date",
"ga:eventLabel"
],
"metricHeader": {
"metricHeaderEntries": [
{
"name": "ga:totalEvents",
"type": "INTEGER"
}
]
}
},
"data": {
"totals": [
{
"values": [
"0"
]
}
]
}
}
]
}
However, if I include the date range,
{
"reportRequests": [
{
"viewId": "XXXXXXXX",
"dimensions": [
{
"name": "ga:date"
},
{
"name": "ga:eventLabel"
}
],
"metrics": [
{
"expression": "ga:totalEvents"
}
],
"dateRanges": [
{
"startDate": "2016-01-01",
"endDate": "2016-04-30"
}
]
}
]
}
I get the following response:
{
"reports": [
{
"columnHeader": {
"dimensions": [
"ga:date",
"ga:eventLabel"
],
"metricHeader": {
"metricHeaderEntries": [
{
"name": "ga:totalEvents",
"type": "INTEGER"
}
]
}
},
"data": {
"rows": [
{
"dimensions": [
"20160412",
"http://mytestblog.com/"
],
"metrics": [
{
"values": [
"1"
]
}
]
},
{
"dimensions": [
"20160412",
"http://mytestblog.com/2016/04/first-post.html"
],
"metrics": [
{
"values": [
"3"
]
}
]
},
{
"dimensions": [
"20160419",
"http://mytestblog.com/"
],
"metrics": [
{
"values": [
"4"
]
}
]
},
{
"dimensions": [
"20160419",
"http://mytestblog.com/2016/04/fourth.html"
],
"metrics": [
{
"values": [
"13"
]
}
]
}
],
"totals": [
{
"values": [
"21"
]
}
],
"rowCount": 4,
"minimums": [
{
"values": [
"1"
]
}
],
"maximums": [
{
"values": [
"13"
]
}
]
}
}
]
}
Why is it that, even though specified in the documentation, I have to specify date range in the ReportRequest to get the values? Am I misunderstanding the meaning of Lifetime values here?
The reportRequest object should have either a value for dateRanges or a definition value for cohortGroup. When you omit both the requests assumes the default values for a startDate of 7daysAgo and an endDate of yesterday.
The correct interpretation of the docs is that the reportRequest should not have a dateRange defined for cohort and LTV requests. But in order to make a cohort or lifetime value request you must add a cohort definition. For Lifetime value requests the cohort definition should have a specific dateRange in addition to the lifetimeValue field set to true:
POST https://analyticsreporting.googleapis.com/v4/reports:batchGet
{
"reportRequests": [
{
"viewId": "XXXX",
"dimensions": [
{"name": "ga:cohort" },
{"name": "ga:cohortNthWeek" }],
"metrics": [
{"expression": "ga:cohortTotalUsersWithLifetimeCriteria"},
{"expression": "ga:cohortRevenuePerUser"}
],
"cohortGroup": {
"cohorts": [{
"name": "cohort 1",
"type": "FIRST_VISIT_DATE",
"dateRange": {
"startDate": "2015-08-01",
"endDate": "2015-09-01"
}
},
{
"name": "cohort 2",
"type": "FIRST_VISIT_DATE",
"dateRange": {
"startDate": "2015-07-01",
"end_date": "2015-08-01"
}
}],
"lifetimeValue": True
}
}]
}
I'm just trying out some stuff with GeoJSON's by figuring out how to import them into MongoDB. Here is a snippet of the JSON data that I'm trying to import:
{
"type": "FeatureCollection",
"crs": {
"type": "name",
"properties": {
"name": "urn:ogc:def:crs:OGC:1.3:CRS84"
}
},
"source": "© GeoBasis-DE / BKG 2013 (Daten verändert)",
"features": [
{
"type": "Feature",
"properties": {
"RS": "051580004004",
"DES": "Stadt",
"GEN": "Erkrath",
"EWZ_M": 20929,
"EWZ_W": 22883,
"SHAPE_AREA": 26441754.911268
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
6.88238674728364,
51.24166234476658
],
[
6.881975279589705,
51.23757802188462
],
[
6.891756626701045,
51.23929422878399
],
[
6.903180857084263,
51.23707789012778
],
[
6.908259412237354,
51.24206723420193
],
[
6.918977412277895,
51.24041847413137
],
[
6.926662904165135,
51.24253596694298
],
[
6.937590326994132,
51.23093391057761
],
[
6.94295724765998,
51.2299892278866
],
[
6.939417113978845,
51.227341409094315
],
[
6.951333593915336,
51.22740615125517
],
[
6.950253526637431,
51.224656373607054
],
[
6.955765647972802,
51.22167757046095
],
[
6.964606469495985,
51.22457614378809
],
[
6.975480633820623,
51.223046741435965
],
[
6.973404761769492,
51.22089502422256
],
[
6.980214287180364,
51.21998473062592
],
[
6.982741542191386,
51.214167748907066
],
[
6.994804384322499,
51.215655729126155
],
[
6.994747626413055,
51.21224925095131
],
[
6.985928005605313,
51.20743852466108
],
[
6.98828820437737,
51.20347146797952
],
[
6.944606700602787,
51.198908942197114
],
[
6.943253716046289,
51.19637267292547
],
[
6.937329237188316,
51.19846226521679
],
[
6.932905519738434,
51.194111787062006
],
[
6.907388585403191,
51.19594285093562
],
[
6.903803051706552,
51.20313804926765
],
[
6.910551758112292,
51.21099091708282
],
[
6.878932812936605,
51.21491884904021
],
[
6.872564112818471,
51.219486802570856
],
[
6.873244797535404,
51.226155851357795
],
[
6.878496898776498,
51.22869664243089
],
[
6.872981880136851,
51.232966792978665
],
[
6.871618163754948,
51.24209470504303
],
[
6.88238674728364,
51.24166234476658
]
]
]
}
},
{
"type": "Feature",
"properties": {
"RS": "051160000000",
"DES": "Stadt",
"GEN": "Mönchengladbach",
"EWZ_M": 123662,
"EWZ_W": 131172,
"SHAPE_AREA": 170540962.920759
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
.....
.....
I want now to import this data into my MongoDB instance. When I tried the following, I ran into some errors:
mongoimport --db /Users/joe/mongodb-data -c points --file "gemeinden_simplify200.geojson" --jsonArray
connected to: 127.0.0.1
assertion: 13106 nextSafe(): { $err: "Invalid ns [/Users/joe/mongodb-data.points]", code: 16256 }
I think you need to try-
mongoimport --db test -c points --file "gemeinden_simplify200.geojson" --jsonArray
Here test is database name.