I have a collection like this
{
"name": "Sai Darshan"
}
{
"name": "Sathya"
}
{
"name": "Richie"
}
I want to match the documents with the name "Sathya" and "Richie".
How can I achieve this using $match.
I currently tried this
$db = $this->dbMongo->selectDB("userData");
$collection = $db->selectCollection("userObject");
$aggregationFields = [
[
'$match' => [
'name'=> 'Sathya',
'name'=> 'Richie',
]
]
];
$cursor = $collection->aggregate($aggregationFields)->toArray();
Currently I am getting only the document
{
"name": "Richie"
}
I am expecting to fetch both documents i.e. the documents with the name "Sathya" and "Richie".
I expect to do this with $match itself because I have further pipelines I want to pass this data to.
Is there anyway I can achieve this?.
Any help is appreciated.
Thank you.
#nimrod serok answered in the comments, which is to use the $in operator.
What is probably happening in with the query in the description is that the driver is de-duplicating the name entry. So the query that the database receives only includes the filter for 'name'=> 'Richie'. You can see some reference to that here in the documentation, and javascript itself will also demonstrate this behavior:
> filter = { name: 'Sathya', name: 'Richie' };
{ name: 'Richie' }
>
Related
I implemented elasticsearch using php for binary documents (fscrawler). It works just fine with the default settings. I can search the documents for the word I want and I get results that are case insensitive. However, I now want to do exact matches i.e on top of the current search, if the query is enclosed in quotes, I want to get results that only match the query exactly.. even case sensitive.
My mapping looks like this:
"settings": {
"number_of_shards": 1,
"index.mapping.total_fields.limit": 2000,
"analysis": {
"analyzer": {
"fscrawler_path": {
"tokenizer": "fscrawler_path"
}
},
"tokenizer": {
"fscrawler_path": {
"type": "path_hierarchy"
}
}
}
.
.
.
"content": {
"type": "text",
"index": true
},
My query for the documents looks like this:
if ($q2 == '') {
$params = [
'index' => 'trial2',
'body' => [
'query' => [
'match_phrase' => [
'content' => $q
]
]
]
];
$query = $client->search($params);
$data['q'] = $q;
}
For exact matches(does not work):
if ($q2 == '') {
$params = [
'index' => 'trial2',
'body' => [
'query' => [
'filter' =>[
'term' => [
'content' => $q
]
]
]
]
];
$query = $client->search($params);
$data['q'] = $q;
}
content field is the body of the document. How do I implement the exact match for a specific word or phrase in the content field?
Your content field, what I understand, would be significantly large as many documents may be more than 2-3 MB and that's a lot of words.
There'd be no point in using keyword field in order to do exact match as per the answer to your earlier question where I referred to using keyword. You should use keyword datatype for exact match only if your data is structured
What I understand is the content field you have is unstructured. In that case you would want to make use of Whitespace Analyzer on your content field.
Also for exact phrase match you make take a look at Match Phrase query.
Below is a sample index, documents and queries that would suffice your use case.
Mapping:
PUT mycontent_index
{
"mappings": {
"properties": {
"content":{
"type":"text",
"analyzer": "whitespace" <----- Note this
}
}
}
}
Sample Documents:
POST mycontent_index/_doc/1
{
"content": """
There is no pain you are receding
A distant ship smoke on the horizon
You are only coming through in waves
Your lips move but I can't hear what you're saying
"""
}
POST mycontent_index/_doc/2
{
"content": """
there is no pain you are receding
a distant ship smoke on the horizon
you are only coming through in waves
your lips move but I can't hear what you're saying
"""
}
Phrase Match:(To search a sentence with words in order)
POST mycontent_index/_search
{
"query": {
"bool": {
"must": [
{
"match_phrase": { <---- Note this for phrase match
"content": "There is no pain"
}
}
]
}
}
}
Match Query:
POST mycontent_index/_search
{
"query": {
"bool": {
"must": [
{
"match": { <---- Use this for token based search
"content": "there"
}
}
]
}
}
}
Note that your response should be accordingly.
For exact match for a word, just use a simple Match query.
Note that when you do not specify any analyzer, ES by default uses Standard Analyzer and this would cause all the tokens to be converted into lower case before storing them in Inverted Index. However, Whitespace Analyzer would not convert the tokens into lower case. As a result There and there are stored as two different tokens in your ES index.
I'm assuming you are aware of Analysis and Analyzer concepts and if not I'd suggest you to go through the links as that will help you know more on what I'm talking about.
Updated Answer:
Post understanding your requirements, there is no way you can apply multiple analyzers on a single field, so basically you have two options:
Option 1: Use multiple indexes
Option 2: Use multi-field in your mapping as shown below:
That way, your script or service layer would have the logic of pushing to different index or field depending on your input value(ones having double inverted comma and ones that are simple tokens)
Multi Field Mapping:
PUT <your_index_name>
{
"mappings":{
"properties":{
"content":{
"type":"text", <--- Field with standard analyzer
"fields":{
"whitespace":{
"type":"text", <--- Field with whitespace
"analyzer":"whitespace"
}
}
}
}
}
}
Ideally, I would prefer to have the first solution i.e making use of multiple indexes with different mapping, however I would strongly advise you to revisit your use-case because it doesn't make sense in managing querying like this but again its your call.
Note: A cluster of single node that's the worst possible option you can ever do and specially not for Production.
I'd suggest you ask that in separate question detailing your docs count, growth rate over next 5 years or something and would your use case be more read heavy or write intensive? Is that cluster something other teams may also would want to leverage. I'd suggest you to read more and discuss with your team or manager to get more clarity on your scenarios.
Hope this helps.
I have a nested Document which have some language dependent content and I want to search if content have data for specific language and query should return me content else false.
I tried this query option
$data = $collection->findOne(array('original'=>'What is this', 'translation.language'=>'english') );
I am expecting this result:
{
"language": "english",
"quote": "What is this"
}
but above query return both language content. Can anyone please share some code also regarding saving and updating data using PHP
My collection:
{
"_id": ObjectId("56a8844bc56760810e483815"),
"language": "english",
"original_key": "What is this",
"translation": [
{
"language": "english",
"quote": "What is this"
},
{
"language": "spanish",
"quote": "What is this Spanish"
}
]
}
Use the positional $ operator in the projection document of the findOne() method when you only need one particular array element in selected documents:
// search criteria for nested array
$query = array(
'original' => 'What is this',
'translation.language' => 'english'
);
// projection (fields to include)
$projection = array('_id' => false, 'translation.$' => true);
$result = $collection->findOne($query, $projection);
$data = $result->translation;
var_dump($data);
I think you should use mongodb's aggregation pipeline.
This may work. Not tested.
db.collection.aggregate([
{$unwind :translation},
{$project: {original_key:true,language:true, quote:true}},
{$match:{original_key:"What is this", language:"english"}}
]);
I have a Symfony 2.7.6 application using the FOSElasticaBundle.
I have 2 types of search:
One without keyword, in this case only filters are applied and all documents scores are 1 (sometimes with a random order), in this case the main query is:
$query = new Elastica\Query\MatchAll();
One with keyword, same filters are applied and the match is run again a list of fields, (one with a different boost). And the results are stored by score. The main query is now:
$match = new Elastica\Query\MultiMatch();
$match->setQuery($keyword);
$match->setOperator('AND');
$match->setFields([
'field1^30',
'field2',
'field3',
'field4',
'_all'
]);
Those 2 search are working well.
Now for both search I want a dynamic boost to be applied for a given field value. Let's say: if field5 == 'value' then add boost 15, (15 is just an example, we will make tests to see what additional boost value has to be chosen) the value used here is not the keyword, it is another parameter.
I tried with a FunctionScore and with Boosting queries but without success. Any hint with a very simple elasticsearch query would be appreciated.
How about this:
{
"query": {
"function_score": {
"query": {
"multi_match": {
"query": "blabla",
"operator": "AND",
"fields": [
"field1^30",
"field2",
"field3",
"field4",
"_all"
]
}
},
"functions": [
{
"filter": {
"term": {
"field5": "some_value"
}
},
"boost_factor": 15
}
]
}
}
}
I am trying to write a query to search for a products on two columns called category1 and category2. I am working using elastic search php client and tried with match should query but this giving me wrong results because of match of substring.
But i am looking for exact match with OR operation on two columns. I am new to this please guide me.
$params['index'] = 'furnit';
$params['type'] = 'products';
$params['body']['query']['bool']['should'] = array(
array('match' => array('category1' => $category->name)),
array('match' => array('category2' => $category->name)),
);
$results = $this->elasticsearch->search($params);
If you are not searching then using a bool query in this scenario is not the right way to do it in elasticsearch. Queries are used when you are searching something and relevancy of your search keyword and score of matching documents matters.
Here you can apply a bool filter of elasticsearch to filter out the desired results. Using filters with queries (filtered query) is right way to do it as it excludes all non-matching documents and then you can search for desired documents by using match queries.
here's an example of a bool filter
{
"from": 0,
"size": 50,
"sort": [
{
"name" : {
"order": "asc"
}
}
],
"query": {
"filtered": {
"query": {
"match_all" : {}
},
"filter": {
"bool": {
"should": [
{
"term": {
"category1" : "category1"
}
},
{
"term": {
"category2" : "category2"
}
}
]
}
}
}
}
}
you can refer to docs as well (https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-bool-filter.html)
Maybe your problem is you have used default analyzer (which is standard analyzer).
could you give me your mapping ?
I suggest you to change to use not_analyzer when indexing and use term filter/query.
You could use put mapping here to setting for your analyzer: Put Mapping
Edit: I have created a gist for you, check it here:
Mappings & Terms Filter
I have indexed a document in ElasticSearch that contains arrays like this:
{
"student": "John",
"sport": "Soccer",
"match":
{
"eventType": "League",
"date": "2013-12-31T11:00:00.000Z"
}
}
I need to perform a query that searches for, for example, all league matches (ie, where doc["match"]["eventType"] == "League")
I am using the ElasticSearch-PHP api 1.1.0 and tried querying as such as this without success:
$params['body']['query']['match']['match']['eventType'] = 'League';
I also tried:
$params['body']['query']['match']['match']->eventType = 'League';
What is the correct way to do such a search? The documentation has no such examples.
Can you convert this JSON to php object?
{
"query": {
"match": {
"match.eventType": "League"
}
}
}
I think this will do the work.
As a first step, try to use a different name for your soccer 'match' and call it 'game' to prevent causing a collision with the use of the 'match' operation.