In my MongoDB database one name field is available, in this name field data is stored in the format Aaa, Bbb, Ccc, Ddd. The first letter of the word is uppercase and remaining letter is lowercase. When I apply MongoDB sort query on this data. The sorting is not working properly
My code is like below one:-
$manager = new MongoDB\Driver\Manager("mongodb://localhost:27017");
$pipeline = [
[ '$match' => ['listingStatus' => 'Active'] ],
[ '$sort' => ['listingParticipants.firstName' => -1]],
[ '$group' => ['_id' => '$listingParticipants.email'] ],
[ '$limit' => 10],
[ '$skip' => 0],
];
$aggregate = new \MongoDB\Driver\Command([
'aggregate' => 'test_collection',
'pipeline' => $pipeline,
'cursor' => new stdClass
]);
$cursor = $manager->executeCommand('test_database', $aggregate);
I seen multiple solution on google, they use duplicate field with lower case and apply filter on that newly created field.
But in my project I don't create new field so please help me to solve this issue.
There are currently many conflicting posts regarding mongodb and php due to the driver version. I am using driver 1.2.7, php 5.6 and the latest mongodb on XAMPP
This is my current code:
$filter = [ 'userID' => $myUserId, 'isSold' => true];
$cmdOne = new MongoDB\Driver\Command([
'distinct' => 'collectionNameHere',
'key' => 'productID',
'query' => $filter
]);
$cursorOne = $connection->executeCommand('DatabaseNameHere', $cmdOne);
$products = current($cursorOne->toArray())->values;
Is there a way to find non-distinct results?
This does not work due to the different mongoDb driver:
MongoDB search in collection
You've to use executeQuery with query filter and projection
$filter = [ 'userID' => $myUserId, 'isSold' => true];
$projection = ['projection' => ['productID' => 1]];
$query = new MongoDB\Driver\Query($filter, $projection);
$cursor = $connection->executeQuery('DatabaseNameHere.CollectionNameHere', $query);
I have created elasticsearch index:
$es = Elasticsearch\ClientBuilder::create()->build();
$params = [
'index'=>'articles',
'type' => 'article'
];
for ($i=0; $i<30; $i++) {
$params['body'] = [ 'title'=>'title '.$i, 'body'=>'text '.$i ];
$response = $es->index($params);
}
So, 30 documents are added, now I need get total count of records. This works
$search_params= [
'index'=>'articles',
'type' => 'article',
];
$query = $es->search($search_params);
echo $query['hith']['total'];
But as I've read, more efficient is using straight counting _count method.
My problem is, that I not understood how to implement _count in php API?
tried:
$search_params= [
'index'=>'articles',
'type' => 'article',
'body' => [
'query' => ['_count'=>[] ]
]
];
$query = $es->search($search_params);
and several another variants, but don't get right one syntax.
Help?
Have you tried
$query = $es->count($search_params);
https://www.elastic.co/guide/en/elasticsearch/client/php-api/2.0/ElasticsearchPHP_Endpoints.html#Elasticsearch_Clientcount_count
I have this code :
$data=$collection1->aggregate(array( '$group'=> array('_id'=>$valoreScelto,'contatore'=>array('$sum'=>1))));
$valoreScelto is a valid field of document MongoDB, that i retry by FORM.
$valoreScelto = trim('$'.$campoSelezionato);
I obtain this error:
Fatal error: Call to a member function aggregate() on string
UPDATE:
The error says: You are trying to access the method "aggregate", in the string (Variable $collection1 have type - string).
You need to check $collection1 (for example var_dump). $collection1 must be Collection (or in mongo extension MongoCollection).
You can get a collection like this:
$yourConnectInDB = new Client(...); // or MongoClient(...);
$db = $yourConnectInDB->selectDatabase('YOUR DB NAME');
$collection1 = $db->selectCollection('YOUR COLLECTION NAME');
Also, in your code you want to use the aggregation like this:
$ops = array( // base array
array(
'$group' => array(
"_id" => $valoreScelto,
"contatore" => array('$sum'=>1),
)
),
// other pipeline
);
$data=$collection1->aggregate($ops);
Read this and this
I tried the above answer as well and it wasn't returning anything. After a lot of trying I figured out that I had missed a keyword without which the above query was not going to work. I am pasting the code below.
$ops = [
[
'$group' => [
"_id" => $valoreScelto,
"contatore" => ['$sum'=>1],
]
]
];
$data=$collection1->aggregate($ops)->toArray();
In my example code I am using the php client library, but it should be understood by anyone familiar with elasticsearch.
I'm using elasticsearch to create an index where each document contains an array of nGram indexed authors. Initially, the document will have a single author, but as time progresses, more authors will be appended to the array. Ideally, a search could be executed by an author's name, and if any of the authors in the array get matched, the document will be found.
I have been trying to use the documentation here for appending to the array and here for using the array type - but I have not had success getting this working.
First, I want to create an index for documents, with a title, array of authors, and an array of comments.
$client = new Client();
$params = [
'index' => 'document',
'body' => [
'settings' => [
// Simple settings for now, single shard
'number_of_shards' => 1,
'number_of_replicas' => 0,
'analysis' => [
'filter' => [
'shingle' => [
'type' => 'shingle'
]
],
'analyzer' => [
'my_ngram_analyzer' => [
'tokenizer' => 'my_ngram_tokenizer',
'filter' => 'lowercase',
]
],
// Allow searching for partial names with nGram
'tokenizer' => [
'my_ngram_tokenizer' => [
'type' => 'nGram',
'min_gram' => 1,
'max_gram' => 15,
'token_chars' => ['letter', 'digit']
]
]
]
],
'mappings' => [
'_default_' => [
'properties' => [
'document_id' => [
'type' => 'string',
'index' => 'not_analyzed',
],
// The name, email, or other info related to the person
'title' => [
'type' => 'string',
'analyzer' => 'my_ngram_analyzer',
'term_vector' => 'yes',
'copy_to' => 'combined'
],
'authors' => [
'type' => 'list',
'analyzer' => 'my_ngram_analyzer',
'term_vector' => 'yes',
'copy_to' => 'combined'
],
'comments' => [
'type' => 'list',
'analyzer' => 'my_ngram_analyzer',
'term_vector' => 'yes',
'copy_to' => 'combined'
],
]
],
]
]
];
// Create index `person` with ngram indexing
$client->indices()->create($params);
Off the get go, I can't even create the index due to this error:
{"error":"MapperParsingException[mapping [_default_]]; nested: MapperParsingException[No handler for type [list] declared on field [authors]]; ","status":400}
HAD this gone successfully though, I would plan to create an index, starting with empty arrays for authors and title, something like this:
$client = new Client();
$params = array();
$params['body'] = array('document_id' => 'id_here', 'title' => 'my_title', 'authors' => [], 'comments' => []);
$params['index'] = 'document';
$params['type'] = 'example_type';
$params['id'] = 'id_here';
$ret = $client->index($params);
return $ret;
This seems like it should work if I had the desired index to add this structure of information to, but what concerns me would be appending something to the array using update. For example,
$client = new Client();
$params = array();
//$params['body'] = array('person_id' => $person_id, 'emails' => [$email]);
$params['index'] = 'document';
$params['type'] = 'example_type';
$params['id'] = 'id_here';
$params['script'] = 'NO IDEA WHAT THIS SCRIPT SHOULD BE TO APPEND TO THE ARRAY';
$ret = $client->update($params);
return $ret;
}
I am not sure how I would go about actually appending a thing to the array and making sure it's indexed.
Finally, another thing that confuses me is how I could search based on any author in the array. Ideally I could do something like this:
But I'm not 100% whether it will work. Maybe there is something fundemental about elasticsearch that I am not understanding. I am completely new to so any resources that will get me to a point where these little details don't hang me up would be appreciated.
Also, any direct advice on how to use elasticsearch to solve these problems would be appreciated.
Sorry for the big wall of text, to recap, I am looking for advice on how to
Create an index that supports nGram analysis on all elements of an array
Updating that index to append to the array
Searching for the now-updated index.
Thanks for any help
EDIT: thanks to #astax, I am now able to create the index and append to the value as a string. HOWEVER, there are two problems with this:
the array is stored as a string value, so a script like
$params['script'] = 'ctx._source.authors += [\'hello\']';
actually appends a STRING with [] rather than an array containing a value.
the value inputted does not appear to be ngram analyzed, so a search like this:
$client = new Client();
$searchParams['index'] = 'document';
$searchParams['type'] = 'example_type';
$searchParams['body']['query']['match']['_all'] = 'hello';
$queryResponse = $client->search($searchParams);
print_r($queryResponse); // SUCCESS
will find the new value but a search like this:
$client = new Client();
$searchParams['index'] = 'document';
$searchParams['type'] = 'example_type';
$searchParams['body']['query']['match']['_all'] = 'hel';
$queryResponse = $client->search($searchParams);
print_r($queryResponse); // NO RESULTS
does not
There is no type "list" in elasticsearch. But you can use "string" field type and store array of values.
....
'comments' => [
'type' => 'string',
'analyzer' => 'my_ngram_analyzer',
'term_vector' => 'yes',
'copy_to' => 'combined'
],
....
And index a document this way:
....
$params['body'] = array(
'document_id' => 'id_here',
'title' => 'my_title',
'authors' => [],
'comments' => ['comment1', 'comment2']);
....
As for the script for apending an element to array, this answer may help you - Elasticsearch upserting and appending to array
However, do you really need to update the document? It might be easier to just reindex it as this is exactly what Elasticsearch does internally. It reads the "_source" property, does the required modification and reindexes it. BTW, this means that "_source" must be enabled and all properties of the document should be included into it.
You also may consider storing comments and authors (as I understand these are authors of comments, not the document authors) as child document in ES and using "has_child" filter.
I can't really give you specific solution, but strongly recommend installing Marvel plugin for ElasticSearch and use its "sense" tool to check how your overall process works step by step.
So check if your tokenizer is properly configured by running tests as described at http://www.elastic.co/guide/en/elasticsearch/reference/1.4/indices-analyze.html.
Then check if your update script is doing what you expect by retrieving the document by running GET /document/example_type/some_existing_id
The authors and comments should be arrays, but not strings.
Finally perform the search:
GET /document/_search
{
'query' : {
'match': { '_all': 'hel' }
}
}
If you're building the query yourself rather than getting it from the user, you may use query_string with placeholders:
GET /document/_search
{
'query' : {
'query_string': {
'fields': '_all',
'query': 'hel*'
}
}
}