DataStax has released Brisk 1.0 Beta 2! You can download Brisk from the DataStax web site.

New Features in Brisk 1.0 Beta 2

The following new features have been added in this release:

Feature	Description
BRISK-12	Apache Pig Integration. See the DataStax Documentation for more information about using Pig in Brisk.
BRISK-89	Job Tracker Failover. See the DataStax Documentation for more information about using the new brisktool movejt command.
BRISK-207	New Snappy Compression Codec built on Google Snappy is now used internally for automatic CassandraFS block compression.
BRISK-180	Automap Cassandra Column Families to Hive Tables in the Brisk Hive Metastore.
BRISK-152	Add a second HDFS layer in CassandraFS for long-term data storage. This is needed because the blocks column family in CFS requires frequent compactions - Hadoop uses it during MapReduce processing to store small files and temporary data. Compaction cleans this temporary data up after it is not needed anymore. Now there is the cfs:/// and cfs-archive:/// endpoints within CFS. The blocks column family in cfs-archive:/// has compaction disabled to improve performance for static data stored in CFS.

Major Fixes in Brisk 1.0 Beta 2

Brisk 1.0 Beta 2 also incudes the following major fixes. For details on all fixes in Beta 2, see the Brisk Jira Project Web site:

Issue	Description
BRISK-126	Remove multiple slf4j warnings
BRISK-203	Use batchMutate instead of insert in HiveCassandraOutputFormat
BRISK-219	Cassandra super columns not mapping in Hive
BRISK-220	Improve performance of hadoop fs -ls
CASSANDRA-2683	Compaction issue causing secondary index corruption.

Open Issues

For a description of the open issues in Brisk, see the Brisk Jira Project Web site.

About Brisk

Brisk is an open-source Hadoop and Hive distribution developed by DataStax that utilizes Apache Cassandra for its core services and storage. Brisk provides Hadoop MapReduce capabilities using CassandraFS, an HDFS-compatible storage layer inside Cassandra. By replacing HDFS with CassandraFS, users are able to leverage their current MapReduce jobs on Cassandra’s peer-to-peer, fault-tolerant, and scalable architecture. Brisk is also able to support dual workloads, allowing you to use the same cluster of machines for both real-time applications and data analytics without having to move the data around between systems.

Brisk is available via Apache license v2.0, and contains the following components:

• Apache Hadoop 0.20.203.0 + (HADOOP-7172, HADOOP-5759, HADOOP-7255)
• Cassandra 0.8.1
• Apache Hive 0.7
• Apache Pig 0.8.3