A PostgreSQL Interface for Amazon Athena Data

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Amazon Athena ODBC Driver

The Amazon Athena ODBC Driver is a powerful tool that allows you to connect with live data from Amazon Athena, directly from any applications that support ODBC connectivity.

Access Amazon Athena interactive query services data like you would a database, through a standard ODBC Driver interface.



Use the SQL Gateway and Amazon Athena ODBC Driver to create a PostgreSQL entry-point for data access.

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 Amazon Athena data as a PostgreSQL database on Windows, use the CData SQL Gateway, the ODBC Driver for Amazon Athena, 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 Amazon Athena data from PostgreSQL Server.

Configure the Connection to Amazon Athena

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.

Authenticating to Amazon Athena

To authorize Amazon Athena requests, provide the credentials for an administrator account or for an IAM user with custom permissions: Set AccessKey to the access key Id. Set SecretKey to the secret access key.

Note: Though you can connect as the AWS account administrator, it is recommended to use IAM user credentials to access AWS services.

Obtaining the Access Key

To obtain the credentials for an IAM user, follow the steps below:

  1. Sign into the IAM console.
  2. In the navigation pane, select Users.
  3. To create or manage the access keys for a user, select the user and then select the Security Credentials tab.

To obtain the credentials for your AWS root account, follow the steps below:

  1. Sign into the AWS Management console with the credentials for your root account.
  2. Select your account name or number and select My Security Credentials in the menu that is displayed.
  3. Click Continue to Security Credentials and expand the Access Keys section to manage or create root account access keys.

Authenticating from an EC2 Instance

If you are using the CData Data Provider for Amazon Athena 2018 from an EC2 Instance and have an IAM Role assigned to the instance, you can use the IAM Role to authenticate. To do so, set UseEC2Roles to true and leave AccessKey and SecretKey empty. The CData Data Provider for Amazon Athena 2018 will automatically obtain your IAM Role credentials and authenticate with them.

Authenticating as an AWS Role

In many situations it may be preferable to use an IAM role for authentication instead of the direct security credentials of an AWS root user. An AWS role may be used instead by specifying the RoleARN. This will cause the CData Data Provider for Amazon Athena 2018 to attempt to retrieve credentials for the specified role. If you are connecting to AWS (instead of already being connected such as on an EC2 instance), you must additionally specify the AccessKey and SecretKey of an IAM user to assume the role for. Roles may not be used when specifying the AccessKey and SecretKey of an AWS root user.

Authenticating with MFA

For users and roles that require Multi-factor Authentication, specify the MFASerialNumber and MFAToken connection properties. This will cause the CData Data Provider for Amazon Athena 2018 to submit the MFA credentials in a request to retrieve temporary authentication credentials. Note that the duration of the temporary credentials may be controlled via the TemporaryTokenDuration (default 3600 seconds).

Connecting to Amazon Athena

In addition to the AccessKey and SecretKey properties, specify Database, S3StagingDirectory and Region. Set Region to the region where your Amazon Athena data is hosted. Set S3StagingDirectory to a folder in S3 where you would like to store the results of queries.

If Database is not set in the connection, the data provider connects to the default database set in Amazon Athena.

Start the Remoting Service

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.

Build the MySQL Foreign Data Wrapper

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:

Obtain Prerequisites

To build the foreign data wrapper, do the following:

  • Install PostgreSQL. This example uses an installation of PostgreSQL 9.4.
  • If you are using a 64-bit installation of PostgreSQL, obtain libintl.h from the PostgreSQL source. The 64-bit PostgreSQL installer does not currently include libintl.h.
  • Obtain the source for the mysql_fdw foreign data wrapper from EnterpriseDB.
  • Install MySQL Connector C. This example uses an installation of MySQL Connector C 6.1.

Configure a Project

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:

  1. In Visual Studio, create a new empty C++ project.
  2. In Solution Explorer, right-click Source Files and click Add -> Existing Item. In the file explorer, select all of the .c and .h files from the mysql_fdw source.

Follow the steps below to configure your project:

  1. If you are building for a 64-bit system, click Build -> Configuration Manager and in Active Solution Platform select x64.
  2. Right-click your project and click Properties.
  3. In the Configuration menu, select All Configurations.
  4. In Configuration Properties -> General -> Configuration Type, select Dynamic Library.
  5. In Configuration Properties -> C/C++ -> Code Generation -> Enable C++ Exceptions, select No.
  6. In Configuration Properties -> C/C++ -> Advanced -> Compile As, select Compile as C Code.
  7. In Linker -> Manifest File -> Generate Manifest, select No.

Follow the steps below to add the required dependencies:

  1. In Linker -> Input -> Additional Dependencies, select Edit and enter the following: postgres.lib libmysql.lib WS2_32.lib Secur32.lib Additionally, ensure that Inherit From Parent or Project Defaults is checked.
  2. In Linker -> General -> Additional Library Directories, select Edit and add the path to the lib folder in your PostgreSQL installation.
  3. In Linker -> General -> Link Library Dependencies, select No.
  4. To complete the configuration of your project, add the necessary includes: In C/C++ -> General -> Additional Include Directories, add the following folders in the following order: MyMySQLConnectorCInstallation\include MyPostgreSQLInstallation\MyPostgreSQLVersion\include\server\port\win32_msvc MyPostgreSQLInstallation\MyPostgreSQLVersion\include\server\port\win32 MyPostgreSQLInstallation\MyPostgreSQLVersion\include\server MyPostgreSQLInstallation\MyPostgreSQLVersion\include

Configure mysql_fdw for Windows

After setting up a project, make the following changes to build mysql_fdw in Visual Studio:

  1. In mysql_fdw.c, add the following defines: #define dlsym(lib, name) (void*)GetProcAddress((HMODULE)lib, name) #define dlopen(libname, unused) LoadLibraryEx(libname, NULL, 0)
  2. In the mysql_load_library definition, delete the following line: mysql_dll_handle = dlopen(_MYSQL_LIBNAME, RTLD_LAZY | RTLD_DEEPBIND);
  3. Add the following line in the mysql_load_library definition to replace the assignment of mysql_dll_handle for a Windows build: mysql_dll_handle = dlopen("libmysql.dll", 0);
  4. Prepend the call to the mysql_fdw_handler function with the __declspec(dllexport) keyword to export the function from the DLL: __declspec(dllexport) extern Datum mysql_fdw_handler(PG_FUNCTION_ARGS);
  5. In option.c, prepend the declaration of the mysql_fdw_validator function with the __declspec(dllexport) keyword to export the function from the DLL: __declspec(dllexport) extern Datum mysql_fdw_validator(PG_FUNCTION_ARGS);

You can now select the Release configuration and build.

Install the Extension

After you have compiled the DLL, follow the steps below to install the extension:

  1. Add the path to the lib folder for MySQL Connector C to the PATH environment variable of the machine running PostgreSQL.
  2. Copy the DLL from the RElease folder for your project into the lib subfolder of your PostgreSQL installation.
  3. In the folder containing the mysql_fdw csource files, copy myswl_fdw--1.0.sql and mysql_fdw.control into the extension folder under the share folder of your PostgreSQL installation. For example: C:\Program Files\PostgreSQL\9.4\share\extension.

Query Amazon Athena Data as a PostgreSQL Database

After you have installed the extension, follow the steps below to start executing queries to Amazon Athena data:

  1. Log into your PostgreSQL database. For example: C:\> psql -U postgres
  2. Load the extension for the database: postgres=#CREATE EXTENSION mysql_fdw;
  3. Create a server object for Amazon Athena data: postgres=# CREATE SERVER AmazonAthena FOREIGN DATA WRAPPER mysql_fdw OPTIONS (host '127.0.0.1', port '3306');
  4. Create a user mapping for the username and password of a user known to the MySQL remoting service. Below are the credentials for the user in the sample configuration of the service: postgres=# CREATE USER MAPPING for postgres SERVER AmazonAthena OPTIONS (username 'admin', password 'test');
  5. Create the local schema: postgres=# CREATE SCHEMA AmazonAthena_db;
  6. Import all the tables in the Amazon Athena database you defined: postgres=# IMPORT FOREIGN SCHEMA "CData AmazonAthena Sys" FROM SERVER AmazonAthena INTO AmazonAthena_db;

You can now execute read/write commands to Amazon Athena:

postgres=# SELECT * FROM AmazonAthena_db."customers";