Logging - logging inside hadoop dependencies and Hive is often a confusing mix of logging frameworks. This driver works to provide clearer logging thru the Log4J2 api. Having said that, there are plenty of methods and interfaces within the JDBC spec that have not been implemented by the Apache Driver that could have been. I've attempted rectify that. Documentation - the existing Hive documentation can be difficult to follow.
For example, there doesn't seem to be a good single point of reference for all supported URL parameters. Instead the complete picture of options must be gleaned from a handful of examples and sources.
This makes setting up connections difficult. JDBC is the most widely supported interface for connecting Java-based applications with data. Because of this you can now access Hive data in an easy, familiar way. Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like SAP Crystal Reports, Pentaho, Business Objects, Crystal Reports and many more.
Explore tables, columns, keys, and other data constructs based on user identity. Our exclusive remoting feature allows hosting the JDBC connection on a server to enable connections from various clients on any platform Java,. The replication commands include many features that allow for intelligent incremental updates to cached data. The driver includes a library of over 50 functions that can manipulate column values into the desired result. These customizations are supported at runtime using human-readable schema files that are easy to edit.
With traditional approaches to remote access, performance bottlenecks can spell disaster for applications. Regardless if an application is created for internal use, a commercial project, web, or mobile application, slow performance can rapidly lead to project failure.
Accessing data from any remote source has the potential to create these problems. Common issues include:. Once you click on the "Download" button, you will be prompted to select the files you need. File Name:. Date Published:. File Size:.
System Requirements Supported Operating System. Install Instructions There are two versions of this installation package bit and bit. You should install the version that matches the version of the application where you will be using the ODBC driver. Both packages can be installed on the same machine if you need both versions of the driver.
Privacy policy. The driver downloads are available to all users at no extra charge. Version 9. It supports Java 8, 11, and If you need to use an older Java runtime, see the Java and JDBC specification support matrix to see if there's a supported driver version you can use.
For a standalone install the Cloudera driver may be a good solution - registration just means leaving one of your "junk" e-mails to get a couple of marketing messages and you can un-subscribe then. Although I admit I've never used it on a non-Cloudera cluster. You can download the driver from here.
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