my data is structured as below:
Basically it contains Way Point information from google distance matrix. i need to find the routes that start from point C and ending at point E. if i use $and operator and query for
db.Routes.find( {
$and : [
{routes.legs.start_address:"C"},
{routes.legs.end_address:"E"}
]
}
I still get both this results. what are the possible approaches do i have for to resolve this. I'm trying Mongo for the first time so any help or guidance is much appreciated.
[
{
"_id": {
"$oid": "596e004151cc92046c28dd39"
},
"routes": [
{
"legs": [
{
"end_address": "B",
"start_address": "A"
},
{
"end_address": "C",
"start_address": "B"
},
{
"end_address": "D",
"start_address": "C"
},
{
"end_address": "E",
"start_address": "D"
}
]
}
],
"status": "OK",
"Date": {
"$date": "2017-07-18T12:34:07.781Z"
}
},
{
"_id": {
"$oid": "596e007d51cc9231a8117607"
},
"routes": [
{
"legs": [
{
"end_address": "E",
"start_address": "F"
},
{
"end_address": "D",
"start_address": "E"
},
{
"end_address": "C",
"start_address": "D"
},
{
"end_address": "B",
"start_address": "C"
}
]
}
],
"status": "OK",
"Date": {
"$date": "2017-07-18T12:35:09.121Z"
}
}
]
Related
Hi I have the following JSON file format (sample) and please any one let me know how to open the file in excel columns or tables. Thank you.
{ "fields": [ "id", "name", "definition" ], "items": [ { "ref": "#28:1", "id": "1", "values": [ "1", "ABC", "This is file 1." ], "relationships": [ { "toTable": "Table 1", "relationships": [ { "id": "1", "extra": {} } ] }, { "toTable": "Table 2", "relationships": [ { "id": "1", "extra": {} }, { "id": "7", "extra": {} }, { "id": "11", "extra": {} }, { "id": "24", "extra": {} } ] }, { "toTable": "Table 3", "relationships": [ { "id": "22", "extra": {} }, { "id": "31", "extra": {} } ] }, { "toTable": "Table 4", "relationships": [ { "id": "37", "extra": {} }, { "id": "38", "extra": {} }, { "id": "50", "extra": {} } ] } ] }, { "ref": "#28:2", "id": "2", "values": [ "2", "DEF", "This is file 2." ], "relationships": [ { "toTable": "Table 1", "relationships": [ { "id": "3", "extra": {} } ] }, { "toTable": "Table 2", "relationships": [ { "id": "1", "extra": {} }, { "id": "5", "extra": {} }, { "id": "24", "extra": {} } ] }, { "toTable": "Table 3", "relationships": [ { "id": "1", "extra": {} } ] }, { "toTable": "Table 4", "relationships": [ { "id": "5", "extra": {} }, { "id": "7", "extra": {} } ] } ] }, { "ref": "#28:3", "id": "3", "values": [ "3", "GHI", "This is file 3." ], "relationships": [ { "toTable": "Table 1", "relationships": [ { "id": "1", "extra": {} } ] }, { "toTable": "Table 2", "relationships": [ { "id": "2", "extra": {} }, { "id": "5", "extra": {} }, { "id": "8", "extra": {} } ] }, { "toTable": "Table 4", "relationships": [ { "id": "5", "extra": {} }, { "id": "8", "extra": {} } ] } ] } ], "relatedObjects": [ { "TableId": "Table 1", "totalItems": 151, "totalHits": 1, "fields": [ "id", "Number", "name" ], "items": [ { "ref": "#165:28", "id": "1", "values": [ "1", "ASRU" ] } ] }, { "TableId": "Table 2", "totalItems": 282, "totalHits": 5, "fields": [ "id", "fullName", "firstName" ], "items": [ { "ref": "#68:83", "id": "5", "values": [ "5", "ABC", "Acer" ] } ] } ] }
Tried excel power query to create reports using the above JSON file format.
spreadsheet view, click the “Data” tab on the ribbon at the top of Excel. In the “Data” sections, “Import and Transform” section, select the product from Get Data > From File > JSON. Open your computer's standard "Import" window. Here, open the width where your JSON file is located.
I have an elastic search index
like
{
"title": "A",
"comments": [
{
"id": "1"
},
{
"id": "2"
}
]
},
{
"title": "B",
"comments": [
{
"id": "1"
},
{
"id": "3"
}
]
},
{
"title": "C",
"comments": [
{
"id": "7"
},
{
"id": "3"
}
]
}
I want to collapse is the group by the nested object. In the above JSON, I want to group it by Id.
So the output will be like
hits:[{
"title": "A",
"comments": [
{
"id": "1"
},
{
"id": "2"
}
]
},
inner_hits {[
{
"title": "A",
"comments": [
{
"id": "1"
},
{
"id": "2"
}
]
},
{
"title": "B",
"comments": [
{
"id": "1"
},
{
"id": "3"
}
]
}
]}
}]
Baiscally I need collapse bases on the nested object property.
Tried this
/_search?track_total_hits=true
{
"collapse": {
"field": "comments.id",
"inner_hits": {
"name": "id",
"size": 10
},
"max_concurrent_group_searches": 3
}
}
But its always returing first object only in the inner hits
Within the mapping of the object comments , you should remove the nested type.
I have the following node.js code where I want to extract the value "abc" chosen by user as a name. I get result as undefined when I run this code:
let input= [
{
"param": [
{
"id": "name",
"choice": [
{
"label": "abc",
"value": "abc",
"valueId": "abc"
}
]
},
{
"id": "alias",
"choice": [
{
"label": "dsf",
"value": "dsf",
"valueId": "dsf"
}
]
},
{
"id": "description",
"choice": [
{
"label": "",
"value": "",
"valueId": ""
}
]
},
{
"id": "Key",
"choice": [
{
"label": "K",
"value": "K",
"valueId": "K"
}
]
},
{
"id": "tagKey",
"choice": [
{
"label": "",
"value": "",
"valueId": ""
}
]
},
{
"id": "tagValue",
"choice": [
{
"label": "",
"value": "",
"valueId": ""
}
]
},
{
"id": "multiquantity",
"choice": [
{
"label": "1",
"valueId": "1",
"value": "1"
}
]
}
],
"old": [],
"current": null
}
]
let result = (_.find(input.param, {id: "name"})).choice[0].valueId;
console.log("value"+result);
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.min.js"></script>
Seems that the logic is not able to extract the correct value. I need the output as abc. please help
I'm trying to make a search page with extra filter items, but i can't get my query to work how i want it.
Here's the query example:
{
"size": 25,
"from": 0,
"sort": {
"_score": {
"order": "asc"
}
},
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"year": "2015"
}
}
]
}
},
"query": {
"match": {
"title": "Sense"
}
}
}
}
}
i want only results that are from 2015. Searching for title 'Sense' comes up with nothing, even though there is a row with the title 'Sense8'. If i search for Sense8, it returns the correct data, but not 'Sense'.
What am i doing wrong?
Thanks
You probably need to use an ngram or edge ngram analyzer in your mapping. I wrote a blog post about using ngrams for autocomplete on the Qbox blog that goes through it some detail, but here is some code that might give you what you want:
PUT /test_index
{
"settings": {
"analysis": {
"filter": {
"ngram_filter": {
"type": "edgeNGram",
"min_gram": 2,
"max_gram": 20,
"token_chars": [
"letter",
"digit",
"punctuation",
"symbol"
]
}
},
"analyzer": {
"ngram_analyzer": {
"type": "custom",
"tokenizer": "whitespace",
"filter": [
"lowercase",
"asciifolding",
"ngram_filter"
]
},
"whitespace_analyzer": {
"type": "custom",
"tokenizer": "whitespace",
"filter": [
"lowercase",
"asciifolding"
]
}
}
}
},
"mappings": {
"doc": {
"properties": {
"year":{
"type": "string"
},
"title":{
"type": "string",
"index_analyzer": "ngram_analyzer",
"search_analyzer": "whitespace_analyzer"
}
}
}
}
}
POST /test_index/_bulk
{"index":{"_index":"test_index","_type":"doc","_id":1}}
{"year": "2015","title":"Sense8"}
{"index":{"_index":"test_index","_type":"doc","_id":2}}
{"year": "2014","title":"Something else"}
POST /test_index/_search
{
"size": 25,
"from": 0,
"sort": {
"_score": {
"order": "asc"
}
},
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"year": "2015"
}
}
]
}
},
"query": {
"match": {
"title": "Sense"
}
}
}
}
}
...
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": null,
"hits": [
{
"_index": "test_index",
"_type": "doc",
"_id": "1",
"_score": 0.30685282,
"_source": {
"year": "2015",
"title": "Sense8"
},
"sort": [
0.30685282
]
}
]
}
}
You can run the code in your browser here:
http://sense.qbox.io/gist/4f72c182db2017ac7d32077af16cbc3528cb79f0
I have a JSON document like
{
"branch": [
{
"section": [
{
"sub": "edc",
"time": "one hour",
"frequency": "3"
},
{
"sub": "bee",
"time": "two hours",
"frequency": "4"
}
]
},
{
"section": [
{
"sub": "ss",
"time": "one hour",
"frequency": "2"
},
{
"sub": "ms",
"time": "two hours",
"frequency": "5"
}
]
}
]
}
Now I want to delete
{
"sub": "edc",
"time": "one hour",
"frequency": "3"
}
using "sub":"edc" from the following collection
I want the query to perform changes in mongo db
You need to use $pull, although i've not done it with nested array.
See http://docs.mongodb.org/manual/reference/operator/pull/
Something like: (but you'll need to test it)
db.yourcoll.update( { "branch.section.sub": 'edu' }, { $pull: { "branch.section.sub": 'edu' } } )
This is a similar question:
How to remove an element from a doubly-nested array in a MongoDB document