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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.

Natively Connect to Elasticsearch Data in PHP



The CData ODBC driver for Elasticsearch enables you to create PHP applications with connectivity to Elasticsearch data. Leverage the native support for ODBC in PHP.

Drop the CData ODBC Driver for Elasticsearch into your LAMP or WAMP stack to build Elasticsearch-connected Web applications. This article shows how to use PHP's ODBC built-in functions to connect to Elasticsearch data, execute queries, and output the results.

Configure a DSN

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

Establish a Connection

Open the connection to Elasticsearch by calling the odbc_connect or odbc_pconnect methods. To close connections, use odbc_close or odbc_close_all.

$conn = odbc_connect("CData ODBC Elasticsearch Source","user","password");

Connections opened with odbc_connect are closed when the script ends. Connections opened with the odbc_pconnect method are still open after the script ends. This enables other scripts to share that connection when they connect with the same credentials. By sharing connections among your scripts, you can save system resources, and queries execute faster.

$conn = odbc_pconnect("CData ODBC Elasticsearch Source","user","password"); ... odbc_close($conn); //persistent connection must be closed explicitly

Create Prepared Statements

Create prepared statements and parameterized queries with the odbc_prepare function.

$query = odbc_prepare($conn, "SELECT * FROM Orders WHERE ShipCity = ?");

Execute Queries

Execute prepared statements with odbc_execute.

$conn = odbc_connect("CData ODBC Elasticsearch Source","user","password"); $query = odbc_prepare($conn, "SELECT * FROM Orders WHERE ShipCity = ?"); $success = odbc_execute($query, array('New York'));

Execute nonparameterized queries with odbc_exec.

$conn = odbc_connect("CData ODBC Elasticsearch Source","user","password"); $query = odbc_exec($conn, "SELECT Orders.Freight, Customers.ContactName FROM Customers INNER JOIN Orders ON Customers.CustomerId=Orders.CustomerId");

Process Results

Access a row in the result set as an array with the odbc_fetch_array function.

$conn = odbc_connect("CData ODBC Elasticsearch data Source","user","password"); $query = odbc_exec($conn, "SELECT Orders.Freight, Customers.ContactName FROM Customers INNER JOIN Orders ON Customers.CustomerId=Orders.CustomerId"); while($row = odbc_fetch_array($query)){ echo $row["OrderName"] . "\n"; }

Display the result set in an HTML table with the odbc_result_all function.

$conn = odbc_connect("CData ODBC Elasticsearch data Source","user","password"); $query = odbc_prepare($conn, "SELECT * FROM Orders WHERE ShipCity = ?"); $success = odbc_execute($query, array('New York')); if($success) odbc_result_all($query);

More Example Queries

You will find complete information on the driver's supported SQL in the help documentation. The code examples above are Elasticsearch-specific adaptations of the PHP community documentation for all ODBC functions.