For example, I have this document :
{
"id": "kek",
"children": [
{
"id": "child1"
"moreInfo":...
},
{
"id": "child1",
"moreInfo": ...
}
]
}
Is it ok to do :
{
"id": "kek",
"children": {
"child1": {
"id": "child1"
"moreInfo":...
},
"child2:" {
"id": "child2",
"moreInfo": ...
}
}
}
?
With this structure, in PHP it is easier to get the child we want :
$kek[children][child1]
Also, a child can have children too so it could looks like that :
$kek[children][child1][children][child3] ...
So we don't have to do recursive search.
But is it a good document structure in MongoDB's point of view ?
TY
Related
I'm working on my task right now, which accessing specific array when it is called by front end.
My example data is like this
{
"data": [
{
"name": "Jon Snow",
"id": "01-0001",
},
{
"name": "Robert Stark",
"id": "01-0002"
},
{
"name": "Sansa Stark",
"id": "01-002333"
},
{
"name": "Arya Stark",
"id": "01-00012"
},
{
"name": "Bran Stark",
"id": "01-0003"
},
{
"name": "Rickon Stark",
"id": "01-0005"
}
]
}
* In my front end I have this code *
selectedEmployee: any=null;
setActiveEmployee(employee: any) {
this.selectedEmployee = employee;
let myJSON = JSON.stringify(this.selectedEmployee);
this.perEmpLateEarly();
}
Whenever I choose the employee i get the id of that employee.
So in this, if i choose "id": "01-0001" it will return the first array and it will keep the rest, and if I choose "id": "01-0002" it will return the second one and will keep the rest and so on. How can I do that in Php?
Thanks in advance
You will do a GET/POST HTTP request from frontend, which would look something like this in
your_backend_page.php?id=<ID HERE>
Then the "your_backend_page.php" would look like as follows:
$list = { "data": [ { .... }, { ... }] } // this is the array you have
$idFromFrontEnd = $_GET["id"];
foreach ($list["data"] as $item) { // iterate over all items
if ($item["id"] == $idFromFrontEnd) { // check if id matches
echo json_decode($item); // if matches, print this item
}
}
Please note this approach is okay if you have a small number of items. For a larger list, you might want to have a database, where you can use sql to select.
How can I get MongoDB-document with "test": NumberInt(1000) property from RockMongo and from PHP?
I tried something alike to {"items": {"test": 1000}}, but
No records is found.
Sample of Mongo collection:
{
"_id": ObjectId("xxx"),
"items": {
"0": {
"0": {
"test": NumberInt(1000)
}
},
"1": {
"test": NumberInt(2000)
},
},
},
{
"_id": ObjectId("yyy"),
"items": {
"0": {
"0": {
"test": NumberInt(3000)
}
},
"1": {
"test": NumberInt(4000)
},
}
}
Try this
db.coll.find( { 'items.test': 1000 } )
and assure that items is an array and not an object.
I have indexed a number of documents in my Elasticsearch database and when I query for all them I see they have a structure like this:
GET http://localhost:9200/restaurants/restaurant/_search
Output:
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 362,
"max_score": 1,
"hits": [
{
"_index": "restaurants",
"_type": "restaurant",
"_id": "2",
"_score": 1,
"_source": {
"businessName": "VeeTooNdoor Dine",
"geoDescription": "Right next to you2",
"tags": {},
"location": {
"lat": -33.8917007446,
"lon": 151.1369934082
}
}
},
...
]
}
}
I now want to search for restaurants around a given geo-location and following the documentation [1] I use something like this:
{
"filtered" : {
"query" : {
"match_all" : {}
},
"filter" : {
"geo_distance" : {
"distance" : "1km",
"location" : {
"lat": -33.8917007446,
"lon": 151.1369934082
}
}
}
}
}
The thing I have changed is the match_all since I don't want to specify any search field in particular, I only care about the geo location.
When I run the query I get the following message:
"error": "SearchPhaseExecutionException[Failed to execute phase [query], all shards failed; shardFailures {[olAoWBSJSF2XfTnzEhKIYA][btq][3]: SearchParseException[[btq][3]: from[-1],size[-1]: Parse Failure [Failed to parse source [{\n \"filtered\" : {\n \"query\" : {\n \"match_all\" : {}\n },\n \"filter\" : {\n .....
Now I did notice the following on the tutorial page:
Update: The automatic mapping of “geo enabled” properties has been
disabled since publishing this article. You have to provide the
correct mapping for geo properties. Please see the documentation.
Which gives me the impression that I have to create a "mapping" which specifies the field types. However, in the document it refers to doesn't give me enough information on how to actually do this. It shows blobs of JSON but I'm not sure about the correct URL's for this.
Further more, I'm using the PHP client and I'm not sure if it even supports mappings as is demonstrated in this walk through [2].
I somehow get the impression that quite a bit of changes have been made to the query DSL etc. and that a lot of examples on the web don't work anymore, I could be wrong through. I'm using Elasticsearch 1.0.0.
[1] http://www.elasticsearch.org/blog/geo-location-and-search
[2] http://blog.qbox.io/elasticsearch-aggregations
Things that might be wrong:
1: your query shows pin.location and your field is just location.
2: your _mapping for location could be wrong
Does your mapping show something like:
"location": {
"type": "geo_point",
"geohash_precision": 4
}
I was able to run this search against some of my own data:
POST /myindex/mydata/_search
{
"query": {
"match_all": {}
},
"filter": {
"geo_distance" : {
"distance" : "100km",
"_latlng_geo" : {
"lat": -33.8917007446,
"lon": 151.1369934082
}
}
}
}
... a snippet of my mapping:
"properties": { .....
"_latlng_geo": {
"type": "geo_point",
"geohash_precision": 4
}
.....
EDIT : How to use Put Mapping API
You can create the mapping when you create the index like so:
PUT /twitter/
{
"settings" : {
"number_of_shards" : 1
},
"mappings" : {
"tweet":{
"properties":{
"latlng" : {
"type" : "geo_point"
}
}
}
}
}
removing the query is what finally worked for me:
{
"filter": {
"geo_distance" : {
"distance" : "300km",
"location" : {
"lat" : 45,
"lon" : -122
}
}
}
}
You have to replace "location" by "restaurant.location" because ElasticSearch interprete it like a type not like a attribute.
{
"filtered" : {
"query" : {
"match_all" : {}
},
"filter" : {
"geo_distance" : {
"distance" : "1km",
"restaurant.location" : {
"lat": -33.8917007446,
"lon": 151.1369934082
}
}
}
}
I hope it helps you.
As stated in the docs:
"We use the generic PHP stdClass object to represent an empty object. The JSON will now encode correctly."
http://www.elasticsearch.org/guide/en/elasticsearch/client/php-api/current/_dealing_with_json_arrays_and_objects_in_php.html
In your case you should use
$searchParams['body']['query']['filtered']['query']['match_all'] = new \stdClass();
Using PHP and Mongo I would like to update the users availability but cannot figure it out. How can I structure my collection to be able to reference availability groups.steve.availability?
Below is the structure of my "groups" collection:
{
"_id": {
"$oid": "524327d536b82c7c5c842f6d"
},
"group_id": "testing",
"password": "test",
"users": [
{
"username": "steve",
"availability": "null"
},
{
"username": "joeb",
"availability": "null"
}
]
}
If you want to reference it the way you've suggested: groups.steve.availability, you'd need to structure your documents more like below. (I'm not sure where groups is coming from).
This example would give you users.steve.availability by moving the user's name to a sub-field of the users field (users.steve).
{
"_id": {
"$oid": "524327d536b82c7c5c842f6d"
},
"group_id": "testing",
"password": "test",
"users": {
"steve": {
"availability": "null"
},
"joeb" : {
"availability": "null"
}
}
}
Or, you could just create fields directly on the document:
{
"_id": {
"$oid": "524327d536b82c7c5c842f6d"
},
"group_id": "testing",
"password": "test",
"steve": {
"availability": "null"
},
"joeb" : {
"availability": "null"
}
}
That would allow you to just use steve.availability.
If you're trying to do a query though, you'd be better off leaving it more like you had it originally:
"users": [
{
"username": "steve",
"availability": "null"
}]
So, you could write queries that were like:
db.groups.find({"users.username" : "steve" })
Need some help with the sample code provided the facebook. I can't get it to return a series of IDs that I need to run a sql query against.
$friends = '{
"data": [
{
"name": "Paul",
"id": "12000"
},
{
"name": "Bonnie",
"id": "120310"
},
{
"name": "Melissa",
"id": "120944"
},
{
"name": "Simon",
"id": "125930"
},
{
"name": "Anthony",
"id": "120605"
},
{
"name": "David",
"id": "120733"
}
]
}';
$obj = json_decode($friends);
print $obj->{'data'}[0]->{'name'};
I can return the "Paul"
what I want is to return all the id's using implode(array_keys($obj),",")
I am only getting data to return.
What I'd like to do is retrieve all the IDs separated by a comma.
Thanks!
Try implode-ing on the data key with array_map:
function get_id($o) {
return $o->id;
}
implode(array_map('get_id', $obj->data),",")