Connecting

edit

This page contains the information you need to connect and use the Client with Elasticsearch.

On this page

Authentication

edit

This section contains code snippets to show you how to connect to various Elasticsearch providers.

Elastic Cloud

edit

You can connect to Elastic Cloud using Basic authentication:

$client = ClientBuilder::create()
   ->setElasticCloudId('<cloud-id>')
   ->setBasicAuthentication('<username>', '<password>')
   ->build();

Where <cloud-id> is reported in the Deployment UI, and <username>, <password> are generated when you deploy a new cloud instance. You need to store the <username> and <password> since they will not be available via UI.

Or using an API key:

$client = ClientBuilder::create()
   ->setElasticCloudId('<cloud-id>')
   ->setApiKey('<id>', '<key>')
   ->build();

Where <id> and <key> are generated when you create a new API key. The API key is equivalent to Base64(<id>:<key>). You need to store the API key since it will not be available via UI.

HTTP Authentication

edit

If your Elasticsearch server is protected by HTTP authentication, you need to provide the credentials to ES-PHP so that requests can be authenticated server-side. Authentication credentials are provided as part of the host array when instantiating the client:

$hosts = [
    'http://user:pass@localhost:9200',       // HTTP Basic Authentication
    'http://user2:[email protected]:9200' // Different credentials on different host
];

$client = ClientBuilder::create()
                    ->setHosts($hosts)
                    ->build();

Credentials are provided per-host, which allows each host to have their own set of credentials. All requests sent to the cluster use the appropriate credentials depending on the node being talked to.

ApiKey authentication

edit

If your Elasticsearch cluster is secured by API keys as described here, you can use these values to connect the client with your cluster, as illustrated in the following code snippet.

$client = ClientBuilder::create()
                    ->setApiKey('id', 'api_key') 
                    ->build();

ApiKey pair of id and api_key from the create API key response.

SSL encryption

edit

Configuring SSL is a little more complex. You need to identify if your certificate has been signed by a public Certificate Authority (CA), or if it is a self-signed certificate.

A note on libcurl version

If you believe the client is configured to correctly use SSL, but it simply is not working, check your libcurl version. On certain platforms, various features may or may not be available depending on version number of libcurl. For example, the --cacert option was not added to the OSX version of libcurl until version 7.37.1. The --cacert option is equivalent to PHP’s CURLOPT_CAINFO constant, meaning that custom certificate paths will not work on lower versions.

If you are encountering problems, update your libcurl version and/or check the curl changelog.

Public CA Certificates
edit

If your certificate has been signed by a public Certificate Authority and your server has up-to-date root certificates, you only need to use https in the host path. The client automatically verifies SSL certificates:

$hosts = [
    'https://localhost:9200' 
];

$client = ClientBuilder::create()
                    ->setHosts($hosts)
                    ->build();

Note that https is used, not http

If your server has out-dated root certificates, you may need to use a certificate bundle. For PHP clients, the best way is to use composer/ca-bundle. Once installed, you need to tell the client to use your certificates instead of the system-wide bundle. To do this, specify the path to verify:

$hosts = ['https://localhost:9200'];
$caBundle = \Composer\CaBundle\CaBundle::getBundledCaBundlePath();

$client = ClientBuilder::create()
                    ->setHosts($hosts)
                    ->setSSLVerification($caBundle)
                    ->build();
Self-signed Certificates
edit

Self-signed certificates are certs that have not been signed by a public CA. They are signed by your own organization. Self-signed certificates are often used for internal purposes, when you can securely spread the root certificate yourself. It should not be used when being exposed to public consumers, since this leaves the client vulnerable to man-in-the-middle attacks.

If you are using a self-signed certificate, you need to provide the certificate to the client. This is the same syntax as specifying a new root bundle, but instead you point to your certificate:

$hosts = ['https://localhost:9200'];
$myCert = 'path/to/cacert.pem';

$client = ClientBuilder::create()
                    ->setHosts($hosts)
                    ->setSSLVerification($myCert)
                    ->build();

Using authentication with SSL

edit

It is possible to use HTTP authentication with SSL. Simply specify https in the URI, configure SSL settings as required and provide authentication credentials. For example, this snippet authenticates using Basic HTTP auth and a self-signed certificate:

$hosts = ['https://user:pass@localhost:9200'];
$myCert = 'path/to/cacert.pem';

$client = ClientBuilder::create()
                    ->setHosts($hosts)
                    ->setSSLVerification($myCert)
                    ->build();

Enabling the Compatibility Mode

edit

The Elasticsearch server version 8.0 is introducing a new compatibility mode that allows you a smoother upgrade experience from 7 to 8. In a nutshell, you can use the latest 7.x Elasticsearch client with an 8.x Elasticsearch server, giving more room to coordinate the upgrade of your codebase to the next major version.

If you want to leverage this functionality, please make sure that you are using the latest 7.x client and set the environment variable ELASTIC_CLIENT_APIVERSIONING to true. The client is handling the rest internally. For every 8.0 and beyond client, you’re all set! The compatibility mode is enabled by default.

Usage

edit

This section is a crash-course overview of the client and its syntax. If you are familiar with Elasticsearch, you’ll notice that the methods are named just like REST endpoints.

You may also notice that the client is configured in a manner that facilitates easy discovery via your IDE. All core actions are available under the $client object (indexing, searching, getting, etc). Index and cluster management are located under the $client->indices() and $client->cluster() objects, respectively.

Indexing a document

edit

In elasticsearch-php, almost everything is configured by associative arrays. The REST endpoint, document and optional parameters - everything is an associative array.

To index a document, we need to specify three pieces of information: index, id and a document body. This is done by constructing an associative array of key:value pairs. The request body is itself an associative array with key:value pairs corresponding to the data in your document:

$params = [
    'index' => 'my_index',
    'id'    => 'my_id',
    'body'  => ['testField' => 'abc']
];

$response = $client->index($params);
print_r($response);

The response that you get back indicates that the document was created in the index that you specified. The response is an associative array containing a decoded version of the JSON that Elasticsearch returns:

Array
(
    [_index] => my_index
    [_type] => _doc
    [_id] => my_id
    [_version] => 1
    [created] => 1
)

Getting a document

edit

Let’s get the document that we just indexed. This returns the document:

$params = [
    'index' => 'my_index',
    'id'    => 'my_id'
];

$response = $client->get($params);
print_r($response);

The response contains metadata such as index, version, and so on as well as a _source field, which is the original document you sent to Elasticsearch.

Array
(
    [_index] => my_index
    [_type] => _doc
    [_id] => my_id
    [_version] => 1
    [found] => 1
    [_source] => Array
        (
            [testField] => abc
        )

)

Searching for a document

edit

Searching is a hallmark of Elasticsearch, so let’s perform a search. We are going to use the match query as a demonstration:

$params = [
    'index' => 'my_index',
    'body'  => [
        'query' => [
            'match' => [
                'testField' => 'abc'
            ]
        ]
    ]
];

$response = $client->search($params);
print_r($response);

The response here is different from the previous ones. You can see metadata (took, timed_out, etc.) and an array named hits. This represents your search results. Inside of hits is another array named hits, which contains individual search results:

Array
(
    [took] => 1
    [timed_out] =>
    [_shards] => Array
        (
            [total] => 5
            [successful] => 5
            [failed] => 0
        )

    [hits] => Array
        (
            [total] => 1
            [max_score] => 0.30685282
            [hits] => Array
                (
                    [0] => Array
                        (
                            [_index] => my_index
                            [_type] => _doc
                            [_id] => my_id
                            [_score] => 0.30685282
                            [_source] => Array
                                (
                                    [testField] => abc
                                )
                        )
                )
        )
)

Deleting a document

edit

Alright, let’s go ahead and delete the document that we added previously:

$params = [
    'index' => 'my_index',
    'id'    => 'my_id'
];

$response = $client->delete($params);
print_r($response);

This syntax is identical to the get syntax. The only difference is the operation: delete instead of get. The response confirms the document is deleted:

Array
(
    [found] => 1
    [_index] => my_index
    [_type] => _doc
    [_id] => my_id
    [_version] => 2
)

Deleting an index

edit

Due to the dynamic nature of Elasticsearch, the first document you added automatically built an index with some default settings. Delete that index and specify your own settings later:

$deleteParams = [
    'index' => 'my_index'
];
$response = $client->indices()->delete($deleteParams);
print_r($response);

The response:

Array
(
    [acknowledged] => 1
)

Creating an index

edit

Now that you are starting fresh (no data or index), add a new index with custom settings:

$params = [
    'index' => 'my_index',
    'body' => [
        'settings' => [
            'number_of_shards' => 2,
            'number_of_replicas' => 0
        ]
    ]
];

$response = $client->indices()->create($params);
print_r($response);

Elasticsearch now creates that index with your chosen settings and return an acknowledgement:

Array
(
    [acknowledged] => 1
)