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#Odbc driver for sql server sdk how to#
#Odbc driver for sql server sdk software#
#Odbc driver for sql server sdk code#
#Odbc driver for sql server sdk series#

#Odbc driver for sql server sdk code#

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We’ll use the following document conventions to improve readability: By removing the shortcuts and simplifications implemented in the QuickStart driver, it can be used as the foundation for a commercial DSI implementation and to create a custom ODBC driver for a data store that is not SQL-capable. Using the QuickStart sample driver to prototype a DSI implementation for a custom data store is helpful in understanding how the SimbaEngine SDK works. The Simba SQL Engine is used to perform SQL processing, allowing the QuickStart driver to retrieve data from the sample text files, which are not a SQL-capable data source. The QuickStart driver is a sample DSI implementation of an ODBC driver-written in C++ for our example, but as noted above, also available in Java and C#-that reads files in tabbed Unicode text format. The SimbaEngine SDK includes a sample driver that we will use as a template to create a custom ODBC driver for the data store that is not SQL-capable. Set up the development environment and build the sample driver

#Odbc driver for sql server sdk how to#

How to build custom drivers in 5 days or less! These guides walk you through how to modify a QuickStart sample diver written in Java, C#, or C++ to develop your custom driver. NOTE: It can be helpful to have some familiarity with C++ and exposure to SQL to follow along with the details of this custom driver build, though it’s not required.

#Odbc driver for sql server sdk software#

We will use Visual Studio and the Microsoft Data Access (MDAC) 2.8 Software Development Kit (SDK), in addition to the SimbaEngine SDK for the build. We will cover steps 1-3 in this installment and steps 4-6 in a second installment.

#Odbc driver for sql server sdk series#

This is the first installment in a two-part series of companion articles. Rename and rebrand the custom ODBC driver.Use the sample driver as a template to create a custom ODBC driver.Set up the development environment and build the sample driver.We’ll demonstrate how to accomplish the following development tasks to build the custom driver: We’ll connect to the Atlassian Bamboo REST API, a Continuous Integration (CI) and Continuous Deployment (CD) software application that automates software builds and release management. The following demonstrates how to use the SimbaEngine SDK to create a custom ODBC driver.

Get Started: Six Steps to Developing a Custom ODBC Driver Using the SimbaEngine SDK Developers can use these features to translate SQL queries to a custom API or query language that the data store understands. For data stores that do not support SQL, the SimbaEngine SDK provides an SQL parser and an execution engine. It exposes an easy-to-use SDK that allows a user to create a robust and efficient driver for a data store. The SimbaEngine SDK, developed by experts in the field, is a complete implementation of the ODBC specification. And let’s face it, most organizations don’t have this kind of expertise – it’s not easy to find.

Cross-platform C/C++ requirements for such a project.

How to optimize data retrieval to get maximum performance when connecting to large and complex data stores.

All the complexities of error checking, session management and data conversion, then design their code accordingly – in a robust and efficient manner.

To implement a driver that supports the OBDC specification, developers must understand: Implementing an ODBC driver from scratch is a challenging undertaking and many initiatives stall out because the ODBC API is very large and complex. Expert tip: Building a Custom Driver – A Caveat