ServiceJVMLocation: C:\Program Files\Java\jdk1.8.0_XXX\jre\bin\server Now open the Snowflake service you have just created, go to Configuration -> Service Settings -> IP Parameters and add the below attributes Click on Next and this will create the new service.Click Next and now enter the service name and any TCP port that you would want the service to run on.To do that Right click on Services folder -> New -> Service. In the Management Console, connect to OpenAccess SDK Agent and under the services, create a new Java Service.You can find this under Progress DataDirect OpenAccess folder in start menu. Now, open Management Console from the start menu.
#Java 8 jdbc odbc bridge driver#
OpenAccess can be your ODBC-REST bridge, ODBC-SOAP bridge or an ODBC-ODBC wrapper (when the existing ODBC driver is not robust enough) based on your enterprises need. In this tutorial, we have wrapped a Snowflake JDBC driver with ODBC and accessed it from OBIEE. In other cases, OpenAccess can deconstruct the query and reconstruct the results to support additional ODBC features. And the best part of OpenAccess is that queries could be passed through as long as the underlying API can handle a particular query. With almost 95% of the coding already taken care of, wrapping a JDBC driver (or for that matter any API) with an ODBC layer can be done in days if not hours. OpenAccess SDK is our SQL engine that makes it very easy to build an ODBC wrapper on top of any API. In such cases, we recommend that enterprises deploy an ODBC-JDBC bridge (a.k.a an ODBC wrapper) to make the JDBC compliant database look like an ODBC data source. Recreating an ODBC layer at the DB level or a JDBC support at the application may not be in your control or even cost-effective to build and maintain in the long run. That's one of the major reasons, you see a lot more applications support ODBC than JDBC.ĭevelopers often get into a dilemma when an application has been designed to consume ODBC drivers, whereas the database supports only JDBC. While JDBC was written for the Java environment, ODBC was designed to be language-agnostic.
#Java 8 jdbc odbc bridge code#
ODBC and JDBC are the most popular SQL standards adopted by developers to access data and run queries. Using these standards allows applications to send SQL statements to different data sources without having to code multiple times.
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