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There are a vast number of PostgreSQL clients available on the Internet. From standard Drivers to BI and Analytics tools, PostgreSQL is a popular interface for data access. Using the SQL Gateway included in our ODBC Drivers, you can now create PostgreSQL entry-points that you can connect to from any standard client.
To access Splunk data as a PostgreSQL database on Windows, use the CData SQL Gateway, the ODBC Driver for Splunk, and the MySQL foreign data wrapper from EnterpriseDB. In this article, we compile the foreign data wrapper in Visual Studio, install it as an extension, and query Splunk data from PostgreSQL Server.
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.
To authenticate requests, set the , , and properties to valid Splunk credentials. The port on which the requests are made to Splunk is port 8089.
The data provider uses plain-text authentication by default, since the data provider attempts to negotiate TLS/SSL with the server.
If you need to manually configure TLS/SSL, see Getting Started -> Advanced Settings in the data provider help documentation.
The MySQL remoting service is a daemon process that listens for clients' incoming MySQL connections. See the setup guide in the SQL Gateway overview to configure the MySQL Remoting service in the CData SQL Gateway.
The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL. If you are running PostgreSQL on a Unix-based system, you can use the PostgreSQL Extension Network (PGXN) to install the FDW, mysql_fdw. If you are running PostgreSQL on Windows, compile the extension to ensure that you are working with the latest version. Follow the steps below to make the necessary modifications to build the extension from Visual Studio:
To build the foreign data wrapper, do the following:
After you have obtained the necessary software and source code, you are ready to compile the extension with Visual Studio. Follow the steps below to create a project using the mysql_fdw source:
Follow the steps below to configure your project:
Follow the steps below to add the required dependencies:
postgres.lib libmysql.lib WS2_32.lib Secur32.libAdditionally, ensure that Inherit From Parent or Project Defaults is checked.
MyMySQLConnectorCInstallation\include MyPostgreSQLInstallation\MyPostgreSQLVersion\include\server\port\win32_msvc MyPostgreSQLInstallation\MyPostgreSQLVersion\include\server\port\win32 MyPostgreSQLInstallation\MyPostgreSQLVersion\include\server MyPostgreSQLInstallation\MyPostgreSQLVersion\include
After setting up a project, make the following changes to build mysql_fdw in Visual Studio:
#define dlsym(lib, name) (void*)GetProcAddress((HMODULE)lib, name) #define dlopen(libname, unused) LoadLibraryEx(libname, NULL, 0)
mysql_dll_handle = dlopen(_MYSQL_LIBNAME, RTLD_LAZY | RTLD_DEEPBIND);
mysql_dll_handle = dlopen("libmysql.dll", 0);
__declspec(dllexport) extern Datum mysql_fdw_handler(PG_FUNCTION_ARGS);
__declspec(dllexport) extern Datum mysql_fdw_validator(PG_FUNCTION_ARGS);
You can now select the Release configuration and build.
After you have compiled the DLL, follow the steps below to install the extension:
After you have installed the extension, follow the steps below to start executing queries to Splunk data:
C:\> psql -U postgres
postgres=#CREATE EXTENSION mysql_fdw;
postgres=# CREATE SERVER Splunk FOREIGN DATA WRAPPER mysql_fdw OPTIONS (host '127.0.0.1', port '3306');
postgres=# CREATE USER MAPPING for postgres SERVER Splunk OPTIONS (username 'admin', password 'test');
postgres=# CREATE SCHEMA Splunk_db;
postgres=# IMPORT FOREIGN SCHEMA "CData Splunk Sys" FROM SERVER Splunk INTO Splunk_db;
You can now execute read/write commands to Splunk:
postgres=# SELECT * FROM Splunk_db."datamodels";
Download a free trial of the Splunk ODBC Driver to get started:
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👁 Splunk IconThe Splunk ODBC Driver is a powerful tool that allows you to connect with live Splunk, directly from any applications that support ODBC connectivity.
Access Splunk like you would a database - read, write, and update Datamodels, Datasets, SearchJobs, etc. through a standard ODBC Driver interface.