How to create Elasticsearch federated tables in MySQL



Use the SQL Gateway and the ODBC Driver to set up federated tables for Elasticsearch data in MySQL .

You can use the SQL Gateway to configure a MySQL remoting service and set up federated tables for Elasticsearch data. The service is a daemon process that provides a MySQL interface to the CData ODBC Driver for Elasticsearch: After you have started the service, you can create a server and tables using the FEDERATED Storage Engine in MySQL. You can then work with Elasticsearch data just as you would local MySQL tables.

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.

Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)

Create a FEDERATED Server and Tables for Elasticsearch Data

After you have configured and started the service, create a FEDERATED server to simplify the process of creating FEDERATED tables:

Create a FEDERATED Server

The following statement will create a FEDERATED server based on the ODBC Driver for Elasticsearch. Note that the username and password of the FEDERATED server must match a user account you defined on the Users tab of the SQL Gateway.

CREATE SERVER fedElasticsearch
FOREIGN DATA WRAPPER mysql
OPTIONS (USER 'sql_gateway_user', PASSWORD 'sql_gateway_passwd', HOST 'sql_gateway_host', PORT ####, DATABASE 'CData Elasticsearch Sys');

Create a FEDERATED Table

To create a FEDERATED table using our newly created server, use the CONNECTION keyword and pass the name of the FEDERATED server and the remote table (Orders). Refer to the following template for the statement to create a FEDERATED table:

CREATE TABLE fed_orders (
  ...,
  ordername  TYPE(LEN),
  freight  TYPE(LEN),
  ...,
)
ENGINE=FEDERATED
DEFAULT CHARSET=latin1
CONNECTION='fedElasticsearch/orders';

NOTE: The table schema for the FEDERATED table must match the remote table schema exactly. You can always connect directly to the MySQL remoting service using any MySQL client and run a SHOW CREATE TABLE query to get the table schema.

Execute Queries

You can now execute queries to the Elasticsearch FEDERATED tables from any tool that can connect to MySQL, which is particularly useful if you need to JOIN data from a local table with data from Elasticsearch. Refer to the following example:

SELECT 
  fed_orders.ordername, 
  local_table.custom_field 
FROM 
  local_table 
JOIN 
  fed_orders 
ON 
  local_table.foreign_ordername = fed_orders.ordername;

Ready to get started?

Download a free trial of the Elasticsearch ODBC Driver to get started:

 Download Now

Learn more:

Elasticsearch Icon 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.