One of the most amazing things about the Hadoop open source software framework is that with constant user contributions the entire system is constantly evolving to address the needs of the users. One of the newest releases to the Hadoop offerings is Apache Hive. The first stable release, written in Java, was available October 15 of 2013. The Hive mailing list archives, while not going back all that far, are a great source of information about this newest addition to the Hadoop software options.
Hive mailing list archives will provide information in different categories. This allows for easier posting and answering of questions that are clustered around a specific topic. Since Hive is used to store data, it is a warehouse system, as well as to summarize massive data storage, effectively query the storage and also to develop analysis options. Historically Hive was associated with Facebook, but it is now also used by Amazon and Netflix to name some of the biggest users.
Built-in User Definite Functions
One of the many features of Hive, which is a hot topic of discussion in the Hive mailing list archives, is that ability of the system to incorporate built-in user defined functions. This allows the users to step up data mining on a variety of pre-set variables or to create their own use needs that are not already contained in the built-in functions and options.
This can be done using HiveQL, the language of the program, which is compatible with SQL, but not identical, as well as mapreduction which is already contained in the Hadoop software platform. Understanding all these issues, including being able to post UDF (user defined functions) that are getting exceptions allows you to tap into the knowledge of other Hive mailing list archives users for support and problem solving ideas.
A Working Conversation
The value of looking at the Hive mailing list archives is that those posing a question and those answering the questions do so with an incredible amount of detail. This can include a copy of their current program commands as well as responses from users as to how to address the issue. Within the ongoing conversation a very clear picture of how to approach possible issues is easy to follow, helping you to resolve your own issues on the Hive mailing list archives.
Using Hive mailing list archives, even though this is a relatively new addition to Hadoop, is a very effective tool. Searching the history of posts will help you learn more about all aspects of this program and how it can be customized to meet your needs.
