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
Related
While working on trying to switch out PHP code with pure elasticsearch-painless, I noticed that the document doesn't return "noop" even if the document is identical before and after update.
I'm not sure if there is any consequences of having a version update for every time the code is executed? How does it scale?
I'm simply trying to update the views of a post during visit if the identity was not found in views_log, and was wondering either if there is a way to fix the "noop" return, or somehow have it cancel the update?
The code I have right now looks like this:
$script = 'if (!ctx._source.views_log.contains(params.identity)) {
ctx._source.views_log.add(params.identity);
ctx._source.views += 1;
}';
$params = [
'index' => 'post',
'id' => 4861,
'body' => [
'script' => [
'source' => $script,
'lang' => "painless",
'params' => [
'identity' => $identifier
]
]
]
];
$response = $client->update($params);
Following elasticsearch's documentation:
ctx['op']:
Use the default of index to update a document. Set to none to specify no operation or delete to delete the current document from the index.
I tried setting ctx.op to none if the condition is not met, but that didn't seem to work.
During writing of this question I figured it out, and might as well share with others.
none is an accepted keyword for ctx.op, it accepts a string. Change none to "none".
So the full script should look like this:
$script = 'if (!ctx._source.views_log.contains(params.identity)) {
ctx._source.views_log.add(params.identity);
ctx._source.views += 1;
} else {
ctx.op = "none";
}';
$params = [
'index' => 'post',
'id' => 4861,
'body' => [
'script' => [
'source' => $script,
'lang' => "painless",
'params' => [
'identity' => $identifier
]
]
]
];
$response = $client->update($params);
This will give the desired "result": "noop"
Stored a new index by the following code.
$data = array(
array("Name"=>"Norman","Email"=>"in.dolor#vulputatemauris.ca","Created"=>"2019-12-29 10:28:03","Modified"=>"2020-11-07 01:45:23"),
array("Name"=>"Drake","Email"=>"posuere#sedorcilobortis.co.uk","Created"=>"2020-11-08 14:37:00","Modified"=>"2019-08-10 06:42:07"),
array("Name"=>"Wynne","Email"=>"ligula.Donec#adipiscingenim.net","Created"=>"2019-05-19 23:30:42","Modified"=>"2019-06-09 08:13:58"),
array("Name"=>"Kirsten","Email"=>"lobortis#Suspendisseeleifend.net","Created"=>"2020-01-09 23:34:19","Modified"=>"2020-04-16 10:23:07"),
array("Name"=>"Ainsley","Email"=>"elit.dictum.eu#Quisquelibero.org","Created"=>"2019-01-22 18:14:39","Modified"=>"2019-09-02 18:44:30"),
array("Name"=>"Walker","Email"=>"ullamcorper#luctussitamet.org","Created"=>"2020-11-05 23:04:46","Modified"=>"2020-01-03 09:29:36"),
array("Name"=>"Evelyn","Email"=>"amet.metus.Aliquam#dui.org","Created"=>"2020-06-28 13:23:09","Modified"=>"2019-04-02 05:41:33"),
array("Name"=>"James","Email"=>"amet.risus#nullaCras.net","Created"=>"2020-04-20 10:15:54","Modified"=>"2020-07-22 12:04:49"),
array("Name"=>"Melvin","Email"=>"nec.eleifend.non#elit.edu","Created"=>"2020-03-07 05:19:53","Modified"=>"2018-12-30 19:33:29"),
);
$hosts = ['http://localhost:9200'];
$client = ClientBuilder::create()->setHosts($hosts)->build();
$params = [
'index' => 'dummy_data',
'id' => 'my_id',
'body' => ['data' => $data]
];
$response = $client->index($params);
Trying to search the first record by the following:
$params = [
'index' => 'dummy_data',
'body' => [
'query' => [
'bool' => [
'must' => [
[ 'match' => [ 'data.Name' => 'Norman' ] ],
],
]
]
]
];
$results = $client->search($params);
The issue is it's returning all the records where the query is matching with only the first one.
Please help with this.
Im guessing you are using the official Elasticsearch-PHP library. In that case it looks like you are indexing all provided data as exactly 1 document with the id being 'my_id'. That is why you get the the entire dataset back when your search matches.
If you want to index multiple documents at the same time, you should look at the bulk_index endpoint.
Here is the official example for reference:
for($i = 0; $i < 100; $i++) {
$params['body'][] = [
'index' => [
'_index' => 'my_index',
]
];
$params['body'][] = [
'my_field' => 'my_value',
'second_field' => 'some more values'
];
}
$responses = $client->bulk($params);
I want use combine MongoDB\Driver\Query and MongoDB\Driver\Command. But it does not work. Who can help me. Thanks!
$filter = ['column1' => ['$ne' =>'abc']];
$options = [
'limit' => 1000,
/* Only return the following fields in the matching documents */
'projection' => [
'column2' => 1,
'column3' => 1,
'column4' => 1,
],
/* Return the documents in descending order of views */
'sort' => [
'created_date' => -1
],
];
$query = new MongoDB\Driver\Query($filter, $options);
$cmd = new MongoDB\Driver\Command([
// build the 'distinct' command
'distinct' => 'collection', // specify the collection name
'key' => 'column5', // specify the field for which we want to get the distinct values
'query' => $query // criteria to filter documents,
]);
$cursor = $mgClient->executeCommand('mydb', $cmd); // retrieve the results
$arr = current($cursor->toArray())->values; // get the distinct values as
I have some php script running on hhvm
I'm trying to get max value of numeric field from my collection in MongoDB 3.2
Here is my aggregation pipeline
$mongo = new \MongoDB\Driver\Manager(MONGODB_HOST);
$myCollection = new \MongoDB\Collection($mongo, "mydb.mycollection");
$pipeline = [
[
'$group' => [
'_id' => 'group_field',
'slId' => ['$max' => '$saleId']
],
]
];
$doc = $myCollection->aggregate($pipeline);
This pipeline perfectly works in mongo shell, but from php $doc contains all documents from my collection and no $group is applied to them
Maybe someone can help me with that?
The aggregation operation is returning all documents from your collection since you are specifying a constant value for the group by key, the string group_field. You need to prefix the group field with the $ character in your _id key value. So for example if your group by key is the name field, you can rewrite the aggregation pipeline as
$mongo = new \MongoDB\Driver\Manager(MONGODB_HOST);
$myCollection = new \MongoDB\Collection($mongo, "mydb.mycollection");
$group_field = '$name';
$pipeline = [
[
'$group' => [
'_id' => $group_field,
'slId' => ['$max' => '$saleId']
],
]
];
$doc = $myCollection->aggregate($pipeline);
Thanks to chridam's answer up here.
I don't know, but maybe this is some kind of magic
So, chridam's answer helped me with $group, so finally my results were grouped by $group_field. But slId still wasn't there. So, here is what i did and it helped:
$f = '$group_field';
$sl = ['$max' => '$saleId'];
$pipeline = array(
array(
'$group' => array(
'_id' => $f,
'slId' => $sl
),
)
);
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*'
}
}
}