MongoDb Aggregate function issue with php - php

I am new to mongoDb and facing issue in using aggregate function. I am trying to get sum of the fields "expectations" and "overall" but it returns 0. I also want to take the total count of the comments which are not empty or null in the same query.
$out = $collection->aggregate
(
array(
array( '$match' => array( 'id' => 6200 )),
array ('$unwind' => '$reviews'),
array( '$group' => array( '_id' => '$id',
'exptotal' => array( '$sum' => array('reviews' => '$expectations') ),
'total' => array( '$sum' => array('reviews' => '$overall' ) ),
'count' => array( '$sum' => 1 )
)
)
)
);
Here is the json
{
"_id": "528c62406a542f7c6a6bf522",
"id": 6200,
"categories": [
{
"id": 6,
"name": "Artificial Intelligence"
},
{
"id": 5,
"name": "Statistics and Data Analysis"
}
],
"courseId": "COURSE_16",
"institute": {
"id": 5693,
"name": "YZ University"
},
"instructors": [
" A Morris"
],
"language": "en",
"reviews": [
{
"username": "kalis",
"expectations": 3,
"content": 2,
"overall": 3,
"comments": "This is really good course for improvement",
"datecreated": "2013-11-02T17:04:11.102Z"
},
{
"username": "julia",
"expectations": 4,
"content": 2,
"overall": 2,
"comments": "This improves my skill a lot",
"datecreated": "2013-11-03T17:04:11.102Z"
},
{
"username": "john",
"expectations": 2,
"content": 4,
"overall": 4,
"comments": "",
"datecreated": "2013-11-04T17:04:11.102Z"
}
],
"shortName": "ml",
"title": "Machine Learning"
}

This looks like it would work:
$out = $collection->aggregate(array(
array('$match' => array( 'id' => 6200 )),
array ('$unwind' => '$reviews'),
array('$unwind' => '$comments'),
array( '$group' => array( '_id' => '$id',
'commTotal' => array('$sum' => array('$cond'=>array(array('$eq'=>array('$comments',null),0,1)))),
'exptotal' => array( '$sum' => '$reviews.expectations'),
'total' => array( '$sum' => '$reviews.overall' ),
'count' => array( '$sum' => 1 )
))
));
The reason is that when you $unwind the data is still in its subdocument field it is just that the subdocument has become an object of a single review.
The documentation is a little misleading on this operator I'll give you that.

Related

Sort documents based on array field size

I'm trying to use the size of an array called "empofthemonth" to sort each field returned by their amount of employee of the month wins.
Here is the insert code:
$db->users->insert(
["firstname" => "firstname1",
"lastname" => "test",
"email" => "test#email.org.uk",
"keyinfo" =>
["age" => 22,
"gender" => "Male",
"yearsemployed" => 1,
"empofthemonth" => ["Apr"]]
]);
$db->users->insert(
["firstname" => "firstname2",
"lastname" => "test2",
"email" => "test#email.co.uk",
"keyinfo" =>
["age" => 24,
"gender" => "Female",
"yearsemployed" => 5,
"empofthemonth" => ["Feb", "Mar"]]
]);
$db->users->insert(
["firstname" => "firstname3",
"lastname" => "test2",
"email" => "test#email.com",
"keyinfo" =>
["age" => 31,
"gender" => "Female",
"yearsemployed" => 2,
"empofthemonth" => ["Jan", "May", "Jun"]]
]);
I realise that aggregation might be used but i cannot work out the full syntax.
To conclude the query results should be in this order:
firstname3 (3 emp of the months)
firstname2 (2)
firstname1 (1)
We need to $project our documents and return the $size then $sort each document by that "size" in descending order. Note that to access the array field, we need to use the "dot notation".
db.users.aggregate(
[
{ "$project": {
"firstname": 1,
"lastname": 1,
"email": 1,
"keyinfo": 1,
"sz": { "$size": "$keyinfo.empofthemonth" }
}},
{ "$sort": { "sz": -1 } }
]
)
Everything in PHP:
$db->users->aggregate(
[
[ "$project" => [
"firstname" => 1,
"lastname" => 1,
"email" => 1,
"keyinfo" => 1,
"sz" => [ "$size" => "$keyinfo.empofthemonth" ]
]],
[ "$sort" => [ "sz" => -1 ] ]
]
)

mongodb group by multiple keys values vise versa

I have a user collection with following data
[
{
"user_id": "5625c95ac2d34f27148b64fa",
"friend_id": "561f40bac2d34f17148b462c"
},
{
"user_id": "562744ccc2d34f27148b6eb7",
"friend_id": "561f40bac2d34f17148b462c"
},
{
"user_id": "56248eb9c2d34f2f148b5a18",
"friend_id": "561f40bac2d34f17148b462c"
},
{
"user_id": "561f40bac2d34f17148b462c",
"friend_id": "561f3e06c2d34f27148b45f6"
},
{
"user_id": "561f40bac2d34f17148b462c",
"friend_id": "5620de97c2d34f2f148b578f"
},
{
"user_id": "56276b52c2d34f27148b7128",
"friend_id": "561f40bac2d34f17148b462c"
},
{
"user_id": "561f40bac2d34f17148b462c",
"friend_id": "56276b52c2d34f27148b7128"
}
]
i need to fetch the documents in which combination of user_id and friend_id not repeated. i.e in the above example last two documents user_id repeated in friend_id of next document.
I tried with mongo aggrigate and group by but could not reduce it.
In order to do this you basically need to combine both user_id and friend_id values in a uniquely sorted combination. This means creating an array for each document with those members and sorting that array so that the order is always the same.
Then you can $group on that sorted array content to see which documents contain that same combination and then only return those that do not share that same combination.
This leads to this aggregate statement:
db.collection.aggregate([
{ "$project": {
"user_id": 1,
"friend_id": 1,
"combined": {
"$map": {
"input": ["A","B"],
"as": "el",
"in": {
"$cond": [
{ "$eq": [ "$$el", "A" ] },
"$user_id",
"$friend_id"
]
}
}
}
}},
{ "$unwind": "$combined" },
{ "$sort": { "combined": 1 } },
{ "$group": {
"_id": "$_id",
"combined": { "$push": "$combined" },
"user_id": { "$first": "$user_id" },
"friend_id": { "$first": "$friend_id" }
}},
{ "$group": {
"_id": "$combined",
"docs": { "$push": {
"_id": "$_id",
"user_id": "$user_id",
"friend_id": "$friend_id"
}}
}},
{ "$redact": {
"$cond": {
"if": { "$ne": [{ "$size": "$docs" }, 1] },
"then": "$$PRUNE",
"else": "$$KEEP"
}
}}
])
The PHP translation for laravel means to need to access the raw collection object from the manager, where "collection" is the actual name of the collection in MongoDB:
$result = DB::collection("collection")->raw(function($collection) {
return $collection->aggregate(
array(
array(
'$project' => array(
'user_id' => 1,
'friend_id' => 1,
'combined' => array(
'$map' => array(
'input' => array("A","B"),
'as' => 'el',
'in' => array(
'$cond' => array(
array( '$eq' => array( '$el', 'A' ) ),
'$user_id',
'$friend_id'
)
)
)
)
)
),
array( '$unwind' =>'$combined' ),
array( '$sort' => array( 'combined' => 1 ) ),
array(
'$group' => array(
'_id' => '$_id',
'combined' => array( '$push' => '$combined' ),
'user_id' => array( '$first' => '$user_id' ),
'friend_id' => array( '$first' => '$friend_id' )
)
),
array(
'$group' => array(
'_id' => '$combined',
'docs' => array(
'$push' => array(
'_id' => '$_id',
'user_id' => '$user_id',
'friend_id' => 'friend_id'
)
)
)
),
array(
'$redact' => array(
'$cond' => array(
'if' => array( '$ne' => array( array( '$size' => '$docs'), 1) ),
'then' => '$$PRUNE',
'else' => '$$KEEP'
)
)
)
)
);
});
Or if your MongoDB version is less than 2.6, and you lack operators like $map and $redact, then you can still do this, but not as efficiently:
$result = DB::collection("collection")->raw(function($collection) {
return $collection->aggregate(
array(
array(
'$project' => array(
'user_id' => 1,
'friend_id' => 1,
'type' => array( '$const' => array( 'A', 'B' ) )
)
),
array( '$unwind' => '$type' ),
array(
'$group' => array(
'_id' => '$_id',
'user_id' => array( '$first' => '$user_id' ),
'friend_id' => array( '$first' => '$friend_id' ),
'combined' => array(
'$push' => array(
'$cond' => array(
array( '$eq' => array( '$type', 'A' ) ),
'$user_id',
'$friend_id'
)
)
)
)
)
array( '$unwind' =>'$combined' ),
array( '$sort' => array( 'combined' => 1 ) ),
array(
'$group' => array(
'_id' => '$_id',
'combined' => array( '$push' => '$combined' ),
'user_id' => array( '$first' => '$user_id' ),
'friend_id' => array( '$first' => '$friend_id' )
)
),
array(
'$group' => array(
'_id' => '$combined',
'docs' => array(
'$push' => array(
'_id' => '$_id',
'user_id' => '$user_id',
'friend_id' => 'friend_id'
)
),
'count' => array( '$sum' => 1 )
)
),
array( '$match' => array( 'count' => 1 ) )
)
);
});
Where the first three stages mimic what the first stage is doing in the first example listing by putting both values in a single array. Of course the last two stages by "counting" the array members while grouping and then filtering out anything that does not have a "count" of 1.
In either case this leaves you with output that only lists the documents where that combination does not occur in either order:
{
"_id" : [ "561f40bac2d34f17148b462c", "5625c95ac2d34f27148b64fa" ],
"docs" : [
{
"_id" : ObjectId("56306f6cd2387ad4c95b0cc9"),
"user_id" : "5625c95ac2d34f27148b64fa",
"friend_id" : "561f40bac2d34f17148b462c"
}
]
}
{
"_id" : [ "561f3e06c2d34f27148b45f6", "561f40bac2d34f17148b462c" ],
"docs" : [
{
"_id" : ObjectId("56306f6cd2387ad4c95b0ccc"),
"user_id" : "561f40bac2d34f17148b462c",
"friend_id" : "561f3e06c2d34f27148b45f6"
}
]
}
{
"_id" : [ "561f40bac2d34f17148b462c", "56248eb9c2d34f2f148b5a18" ],
"docs" : [
{
"_id" : ObjectId("56306f6cd2387ad4c95b0ccb"),
"user_id" : "56248eb9c2d34f2f148b5a18",
"friend_id" : "561f40bac2d34f17148b462c"
}
]
}
{
"_id" : [ "561f40bac2d34f17148b462c", "5620de97c2d34f2f148b578f" ],
"docs" : [
{
"_id" : ObjectId("56306f6cd2387ad4c95b0ccd"),
"user_id" : "561f40bac2d34f17148b462c",
"friend_id" : "5620de97c2d34f2f148b578f"
}
]
}
{
"_id" : [ "561f40bac2d34f17148b462c", "562744ccc2d34f27148b6eb7" ],
"docs" : [
{
"_id" : ObjectId("56306f6cd2387ad4c95b0cca"),
"user_id" : "562744ccc2d34f27148b6eb7",
"friend_id" : "561f40bac2d34f17148b462c"
}
]
}
You can pretty up the output, but this serves the purpose of showing the ordered combination used along with the original document data.

how to Improving relevancy in elasticsearch?

This is how my mapping looks
$arr = [
'index' => 'test1',
'body' => [
'settings' => [
'analysis' => [
'analyzer' => [
'name_analyzer' => [
'type' => 'custom',
'tokenizer' => 'standard',
'filter' => [
'lowercase',
'asciifolding',
'word_delimiter'
]
]
]
]
],
"mappings" => [
"info" => [
"properties" => [
"Name" => [// this field is analyzed
"type" => "string",
"fields" => [
"raw" => [ //subfield of Name is not analyzed so that we can avoid a known issue of space saperated bucket generation
"type" => "string",
"index" => "not_analyzed"
]
]
],
"Address" => [
"type" => "string",
"index" => "analyzed",
"analyzer" => "name_analyzer"
]
]
]
]
]
];
And this is my query
$query['index'] = 'test1';
$query['type'] = 'info';
//without bool & should also it will work
$query['body'] = [
'query'=> [
'bool' => [
'should' => [
'query_string' => [
'fields' => ['Name'],
'query' => 'sa*',
'analyze_wildcard' => 'true'
]
]
]
],
'size'=> '0',
'aggregations' => [
'actor' => [
'terms' => [
'field' => 'Name.raw',
'size' => 10
]
]
]
];
My output is
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0,
"hits": []
},
"aggregations": {
"actor": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Salma Hayak",
"doc_count": 1
},
{
"key": "Salman Khan",
"doc_count": 1
},
{
"key": "Salman Shaikh",
"doc_count": 1
}
]
}
}
}
What I want is since Salman Khan is the most searched actor as compare to Salma Hayak, having said that when user searched for "sa" they should see salman khan first rather than salma hayak.
Can anyone please help me on this?

Array structure in datatables

How to obtain the following structure after the php json_encode.
It is possible?
{
"data": [
{
"name": "Tiger Nixon",
"position": "System Architect",
"salary": "$320,800"
},
{
"name": "Garrett Winters",
"position": "Accountant",
"salary": "$170,750"
}
]
}
How must look arrays?
Although formally array keys can only be integer you could simple use:
array( 'data' =>
array(
array( 'name' => 'tiger nixon', 'position' => 'system architect', 'salary' => '$320,800' ),
array( 'name' => 'Garrett Winters', 'position' => 'Accountant', 'salary' => '$170,750' )
)
);

converting multidimensional array into json

this is my multidimensional array..i know how to encode array to json but not getting actual json expected json result
array (
1 =>
array (
'text' => 'Dashboard',
'spriteCssClass' => 'rootfolder',
'expanded' => 'true',
'id' => '1',
'item_name' => 'Dashboard',
'menu_type' => 'item',
'parent' => '0',
'items' =>
array (
9 =>
array (
'text' => 'Application',
'spriteCssClass' => 'html',
'id' => '9',
'item_name' => 'Application',
'menu_type' => 'header',
'parent' => '1',
'items' =>
array (
),
),
),
),
)
after encoding it into json i am getting the following result
for encodin i used json_encode($array);
{
"1": {
"text": "Dashboard",
"spriteCssClass": "rootfolder",
"expanded": "true",
"id": "1",
"item_name": "Dashboard",
"menu_type": "item",
"parent": "0",
"items": {
"9": {
"text": "Application",
"spriteCssClass": "html",
"id": "9",
"item_name": "Application",
"menu_type": "header",
"parent": "1",
"items": {}
}
}}}
i want the following encoded json
{
"text": "Dashboard",
"spriteCssClass": "rootfolder",
"expanded": "true",
"id": "1",
"item_name": "Dashboard",
"menu_type": "item",
"parent": "0",
"items": [
{
"text": "Application",
"spriteCssClass": "html",
"id": "9",
"item_name": "Application",
"menu_type": "header",
"parent": "1",
"items": {}
}]
}
i tried almost everything but not getting my expected json result
i want remove the array indexing from json like "1" { and also want to add "[" this after every items: column
It looks like you just want to json_encode($yourData[1]) instead of just json_encode($yourData)...
Your array is not 0 indexed, therefore json_encode assumes its an assoc array.
If you 0 index your array, you should get the expected result, or maybe even remove the index assignment completelely:
array (
array (
'text' => 'Dashboard',
'spriteCssClass' => 'rootfolder',
'expanded' => 'true',
'id' => '1',
'item_name' => 'Dashboard',
'menu_type' => 'item',
'parent' => '0',
'items' =>
array (
9 =>
array (
'text' => 'Application',
'spriteCssClass' => 'html',
'id' => '9',
'item_name' => 'Application',
'menu_type' => 'header',
'parent' => '1',
'items' =>
array (
),
),
),
),
)
EDIT***
to remove all numerical indexes / convert all "non-assoc" to normal use:
function normaliseArray($arr,$recurse=True) {
if (!is_array($arr))
return $arr;
if (count(array_filter(array_keys($arr), 'is_numeric')) == count($arr))
$arr = array_values($arr);
if ($recurse) {
foreach($arr as $k => $a) {
$arr[$k] = normaliseArray($a,$recurse);
}
}
return $arr;
}
json_encode(normaliseArray($array));
try that.
json_encode will encode it as is. The best you can do is force the array to start at 0 which would be the same as []:
$array = array_values($array);
$array[0]['items'] = array_values($array[0]['items']);

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