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You can use the CData SQL Gateway and ODBC Driver for Databricks to access Databricks data from MySQL clients, without needing to perform an ETL or cache data. Follow the steps below to connect to Databricks data in real time through PHP's standard MySQL interfaces, mysqli and PDO_MySQL.
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
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.
To connect to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
See the SQL Gateway Overview to set up connectivity to Databricks 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.
👁 Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)
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:
<?php
$mysqli = new mysqli("localhost", "user", "password", "CData Databricks Sys","3306");
?>
<?php
$pdo = new PDO('mysql:host=localhost;dbname=CData Databricks Sys;port=3306', 'user', 'password');
?>
With the connection established, you can then access tables. The following steps walk through the example:
$result = $mysqli->query("SELECT City, CompanyName FROM Customers WHERE Country = 'US'");
while($row = $result->fetch_assoc()) {
foreach ($row as $k=>$v) {
echo "$k : $v";
echo "<br>";
}
}
$mysqli->close();
$result = $pdo->query("SELECT City, CompanyName FROM Customers WHERE Country = 'US'");
while($row = $result->fetch(PDO::FETCH_ASSOC)) {
foreach ($row as $k=>$v) {
echo "$k : $v";
echo "<br>";
}
}
$result = null;
$pdo = null;
Download a free trial of the Databricks ODBC Driver to get started:
Download NowLearn more:
👁 Databricks IconThe Databricks ODBC Driver is a powerful tool that allows you to connect with live data from Databricks, directly from any applications that support ODBC connectivity.
Access Databricks data like you would a database - read, write, and update through a standard ODBC Driver interface.