Do you have a custom API that you use in your company internally and would like to connect to your favorite analytics tool, or integrate with any other tool using standards based connectivity like JDBC?
Do you have a data source which has a REST API and doesn’t have a JDBC driver, but you would like to have one for your analytics or integration purposes?
Then you are at the right place. If you want to get started quickly and have a feel of how Progress DataDirect OpenAccess SDK can help you in building an ODBC/JDBC driver, I recommend you follow our beginner tutorials.
- Build your own custom ODBC driver for REST API - Quick Start
- Build your own custom JDBC driver for REST API - Quick Start
: For a code-less solution, look at our new Autonomous REST Connector
, which is designed to connect to any REST API easily. You can get started by following this tutorial
The above tutorials use OpenAccess REST Interface Provider (IP) template generator to make it easy for you to build a basic JDBC driver.
The OpenAccess SDK allows you to take full advantage of the data processing capabilities and it does that by allowing you to work in two modes of operation
- Row-based mode
- SQL pass-through mode
In the Row-based mode, the OpenAccess SDK SQL engine performs all the parsing, planning, joins, union, nested query, and other SQL operations. The IP is responsible for handling row-based operations — read rows for a specific table or update rows into a specific table. Row-based mode is preferred when your REST API has some sort of basic operations of filtering or if it doesn’t have any at all. OpenAccess SDK SQL engine will take care of some or all JOINS by supporting join pushdown and taking care of grouping.
In SQL pass-through mode, the OpenAccess SDK SQL engine handles the parsing and validation of the SQL statement against the exposed schema, and makes the SQL statement available to the IP through the OpenAccess SDK SQL engine API. The IP must perform the operation that is requested by the SQL query using the mechanism that is supported by the data source. SQL pass-through mode is preferred when the backend already supports SQL or SQL-like language that can handle joins, unions, nested queries, and other SQL operations.
In this tutorial, we will be using the OpenAccess Native IP to build the driver that operates in Row-based mode and would be implementing most of the Code for the IP instead of relying on a template generator. This opens customizing the IP code to your need so that you can implement custom Authentication schemes with your API, handle dynamic schema’s, push down filters from your driver to REST API (if your API supports filters) etc.,
I will be demonstrating on how you can build a JDBC driver for NYC Parking Violations SODA API. To be more precise, the API endpoint URL I will be using in this tutorial is:
Although this API supports SQL like language, I will be treating it to have most basic operations of $where to illustrate ROW-based mode in this tutorial and let OpenAccess take care of all the post processing.