Access Elasticsearch Data from MySQL in PHP

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Elasticsearch ODBC Driver

The Elasticsearch ODBC Driver is a powerful tool that allows you to connect with live Elasticsearch document databases, directly from any applications that support ODBC connectivity.

Access Elasticsearch like you would a database - read, write, and update through a standard ODBC Driver interface.



Connect to Elasticsearch through the standard MySQL libraries in PHP.

You can use the CData SQL Gateway and ODBC Driver for Elasticsearch to access Elasticsearch data from MySQL clients, without needing to perform an ETL or cache data. Follow the steps below to connect to Elasticsearch data in real time through PHP's standard MySQL interfaces, mysqli and PDO_MySQL.

Connect to Elasticsearch Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.

The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.

Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Elasticsearch data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

Connect in PHP

The following examples show how to use object-oriented interfaces to connect and execute queries. Initialize the connection object with the following parameters to connect to the virtual MySQL database:

  • Host: Specify the remote host location where the service is running. In this case "localhost" is used for the remote host setting since the service is running on the local machine.
  • Username: Specify the username for a user you authorized on the SQL Gateway's Users tab.
  • Password: Specify the password for the authorized user account.
  • Database Name: Specify the system DSN as the database name.
  • Port: Specify the port the service is running on; port 3306 in this example.

mysqli

<?php
$mysqli = new mysqli("localhost", "user", "password", "CData Elasticsearch Sys","3306");
?>

PDO

<?php
$pdo = new PDO('mysql:host=localhost;dbname=CData Elasticsearch Sys;port=3306', 'user', 'password');
?>

Query in PHP

With the connection established, you can then access tables. The following steps walk through the example:

  1. Query the table; for example, Orders. The results will be stored as an associative array in the $result object.
  2. Iterate over each row and column, printing the values to display in the PHP page.
  3. Close the connection.

mysqli

$result = $mysqli->query("SELECT Orders.Freight, Customers.ContactName FROM Customers INNER JOIN Orders ON Customers.CustomerId=Orders.CustomerId");
while($row = $result->fetch_assoc()) {
  foreach ($row as $k=>$v) {
    echo "$k : $v";
    echo "<br />"; 
  }
}
$mysqli->close();

PDO

$result = $pdo->query("SELECT Orders.Freight, Customers.ContactName FROM Customers INNER JOIN Orders ON Customers.CustomerId=Orders.CustomerId");
while($row = $result->fetch(PDO::FETCH_ASSOC)) {
  foreach ($row as $k=>$v) {
    echo "$k : $v";
    echo "<br />"; 
  }
}
$result = null;
$pdo = null;