Cloudera Developer Blog · ZooKeeper Posts
We are happy to announce the general availability of CDH3 update 5. This update is a maintenance release of CDH3 platform and provides a considerable amount of bug-fixes and stability enhancements. Alongside these fixes, we have also included a few new features, most notable of which are the following:
ZooKeeper 3.4 is incorporated into CDH4 and now available in beta 1!
ZOOKEEPER-1367 is the most serious of the issues addressed, it could cause data corruption on restart. This version also adds support for compiling the client on ARM architectures.
Apache ZooKeeper release 3.4.0 is now available: it includes changes covering over 150 issues, 27 of which were considered blockers. ZooKeeper 3.3.3 clients are compatible with 3.4.0 servers, enabling a seamless upgrade path (3.4.0 clients with 3.3.3 servers has also been tested successfully). In addition to improving overall stability some of the highlights are described below:
Things of interest to developers implementing ZooKeeper clients:
The Development track at Hadoop World is a technical deep dive dedicated to discussion about Apache Hadoop and application development for Apache Hadoop. You will hear committers, contributors and expert users from various Hadoop projects discuss the finer points of building applications with Hadoop and the related ecosystem. The sessions will touch on foundational topics such as HDFS, HBase, Pig, Hive, Flume and other related technologies. In addition, speakers will address key development areas including tools, performance, bringing the stack together and testing the stack. Sessions in this track are for developers of all levels who want to learn more about upcoming features and enhancements, new tools, advanced techniques and best practices.
Building Web Analytics Processing on Hadoop at CBS Interactive
Michael Sun, CBS Interactive
Apache Hadoop and Apache HBase are gaining popularity due to their flexibility and tremendous work that has been done to simplify their installation and use. This blog is to provide guidance in sizing your first Hadoop/HBase cluster. First, there are significant differences in Hadoop and HBase usage. Hadoop MapReduce is primarily an analytic tool to run analytic and data extraction queries over all of your data, or at least a significant portion of them (data is a plural of datum). HBase is much better for real-time read/write/modify access to tabular data. Both applications are designed for high concurrency and large data sizes. For a general discussions about Hadoop/HBase architecture and differences please refer to Cloudera, Inc. [https://wiki.cloudera.com/display/DOC/Hadoop+Installation+Documentation+for+Cloudera+Enterprise, http://blog.cloudera.com/blog/2010/07/whats-new-in-cdh3-b2-hbase], or Lars George blogs [http://www.larsgeorge.com/2009/10/hbase-architecture-101-storage.html]. We expect a new edition of the Tom White’s Hadoop book [http://www.hadoopbook.com] and a new HBase book in the near future as well.
With the recent release of CDH3b2, many users are more interested than ever to try out Cloudera’s Distribution for Hadoop (CDH). One of the questions we often hear is, “what does it take to migrate?”.
If you’re not familiar with CDH3b2, here’s what you need to know.
All versions of CDH provide: