Query get data in cakephp 3 - php

I have problem with query cakephp3.x . i want return data have like project_id return a list name inside project_id,
But project_id is unique.unduplicated project_id.
sorry my english.please help.
$result = $query->find('all', [
'fields' => [
'project_id' => 't_project_member.project_id',
'project_name' => 't_project.name',
'member_name' => 'concat(t_member.first_name," ",t_member.last_name)'
],
'join' => [
['table' => 't_project',
'type' => 'LEFT',
'conditions' => 't_project.id = t_project_member.project_id'],
['table' => 't_member',
'type' => 'LEFT',
'conditions' => 't_member.id = t_project_member.member_id'],
],
'conditions' => ['t_project.id' => $project_id]
]);
Result:
{
"result": [
{
"project_id": 4,
"project_name": "Ueno Rebrand : Business cards #1",
"member_name": "User_3 c"
},
{
"project_id": 4,
"project_name": "Ueno Rebrand : Business cards #1",
"member_name": "User_4 d"
},
{
"project_id": 4,
"project_name": "Ueno Rebrand : Business cards #1",
"member_name": "User_5 e"
},
]
}
I want return data like below.
{
"result": [
{
"project_id": 4,
"project_name": "Ueno Rebrand : Business cards #1",
"member_name": {
"User_3 c",
"User_4 d",
"User_5 e
}
},
]
}
Thank you very much.

$result = $query->find('all', [
'fields' => [
'project_id' => 't_project_member.project_id',
'project_name' => 't_project.name',
'member_name' => 'concat(t_member.first_name," ",t_member.last_name)'
],
'join' => [
['table' => 't_project',
'type' => 'LEFT',
'conditions' => 't_project.id = t_project_member.project_id'],
['table' => 't_member',
'type' => 'LEFT',
'conditions' => 't_member.id = t_project_member.member_id'],
],
'group' => '`t_project_member`.`project_id`',
'conditions' => ['t_project.id' => $project_id]
]);

Related

PHP ElasticSearch compound query with has_child

When I query Elasticsearch for products from a specific manufacturer, this works:
$params = ['index' => 'products',
'type' => 'product',
'body' => ['query' =>
['match' => ['manufacturers_id' => $query],],
],
];
But when I also want to add on a condition that the product comes in color Silver, which I have added as a child record to the product record, I get a syntax error:
$params = ['index' => 'products',
'type' => 'product',
'body' => ['query' =>
['match' => ['manufacturers_id' => $query],],
['query' =>
['has_child' =>
['type' => 'attributes',
['query' =>
['color' => 'Silver'],],
],
],
],
],
];
The error is
{
"error": {
"col": 49,
"line": 1,
"reason": "Unknown key for a START_OBJECT in [0].",
"root_cause": [
{
"col": 49,
"line": 1,
"reason": "Unknown key for a START_OBJECT in [0].",
"type": "parsing_exception"
}
],
"type": "parsing_exception"
},
"status": 400
}
Also tried
$params = ['index' => 'products',
'type' => 'product',
'body' => ["query"=> [
"match"=> [
"manufacturers_id"=> [11]
],
"has_child"=> [
"type"=> "attributes",
"query"=> [
"match"=> [
"color"=> "silver"
],
],
],
],
],
];
I get "Can't get text on a START_ARRAY at 1:39."
Try this:
"query"=> [
"match"=> [
"manufacturers_id"=> [1,2,3]
],
"has_child"=> [
"type"=> "attributes",
"query"=> [
"match"=> [
"color"=> "silver"
]
]
]
]
I also recommend Sense, it's a plugin for Chrome browser which helps writing ES queries.
See the screenshot
Finally got this to work. Big thanks to #pawle for his suggestion of Sense, which really helped.
$params = ['index' => 'products',
'type' => 'product',
'body' =>
[
"query" => [
"bool" => [
"must" => [[
"has_child" => [
"type" => "attributes",
"query" => [
"match" => [
"attributes_value" => "silver"
]
]
]
],
[
"match" => [
"manufacturers_id" => 4
]
]
]
]
]
],
];

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.

Whats wrong with the Elastic Search PHP search query?

I've been trying to get the following JSON working in PHP Arrays but I don't seem to get any hits.
The JSON is as follows:
{
"query": {
"filtered": {
"query": {
"query_string": {
"query": "search"
}
}
}
},
"fields": [
"body",
"title",
"postDate",
"user",
"name"
],
"from": 0,
"size": 50,
"sort": {
"_score": {
"order": "asc"
}
},
"explain": true
}
And the PHP I managed to create is like this:
$docs = $client->search([
'index' => 'blog',
'type' => 'posts',
'body' => [
'query' => [
'filtered' => [
'query' => [
'query_string' => [
'query' => $search_query
]
]
]
],
'fields' => [
'body',
'title',
'postDate',
'user',
'name'
],
'from' => 0,
'size' => 50,
'sort' => [
'_score' => [
'order' => 'asc'
]
]
]
]);
It returns an response but no hits, even though it should (and it does in case of the JSON request)
What is going on here?
The post type wasn't required at all... I somehow thought it was. I used a tool called ElasticHQ to generate the JSON and i didn't realize it wasnt using Posts as a type.
Changed it to
$docs = $client->search([
'index' => 'blog',
'body' => [
'query' => [
'filtered' => [
'query' => [
'query_string' => [
'query' => $search_query
]
]
]
],
'fields' => [
'body',
'title',
'postDate',
'user',
'name'
],
'from' => 0,
'size' => 50,
'sort' => [
'_score' => [
'order' => 'asc'
]
]
]
]);

How to create an elasticsearch bool query with php client

I need to run one ES bool query which is looks something like this
{
"aggs": {
"column1": {
"terms": {
"field": "column1.raw",
"size": 5
}
}
},
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"range": {
"time": {
"gt": "2015-02-19 00:00:00",
"lt": "2015-02-20 00:00:00"
}
}
}
],
"should": [
{
"term": {
"column1.raw": "value1"
}
},
{
"term": {
"column1.raw": "value2"
}
}
]
}
}
}
}
}
I have done the things upto should and now need to formulate terms part. As it is having the same index value multiple times , how can I formulate the array for it ?
I am using the following PHP code now :
foreach ($terms as $term) {
$termFIlter = array(
"term" => array(
"column1.raw" => $term
)
);
}
$options['body']['query'] = array(
"filtered" => array(
"filter" => array(
"bool" => array(
"must" => array(
"range" => array(
"time" => array(
"gt" => $start,
"lt" => $end
)
)
),
"should" => $termFIlter
)
)
)
);
take this example please change fields name.set what are fields your are using .
$options = array(
'fields' => array('title', 'content', 'profile_id', 'type', 'name', 'description', 'date', 'url'),
'from' => 0,
'size' => 10,
'query' => array(
($type ?
array(
'bool' => array(
'must' => array(
array('term' => array('_all' => $term)),
array('term' => array('type' => $type))
)
)
) :
array('match' => array('_all' => $term))
)
)
);
In elasticsearch php client documentation this is how you handle needing to put multiple index values of match:
$params = [
'index' => 'my_index',
'type' => 'my_type',
'body' => [
'query' => [
'bool' => [
'must' => [
[ 'match' => [ 'testField' => 'abc' ] ],
[ 'match' => [ 'testField2' => 'xyz' ] ],
]
]
]
]
];
So I think it would be the same for your query but with term. So like you showed in your edit or like this:
$options['body']['query'] = array(
"filtered" => array(
"filter" => array(
"bool" => array(
"must" => array(
"range" => array(
"time" => array(
"gt" => $start,
"lt" => $end
)
)
),
"should" => [
[
"term" => [
"column1.raw" => "value1"
]
],
[
"term" => [
"column1.raw" => "value2"
]
]
]
)
)
)
);

MongoDb Aggregate function issue with 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.

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