SnappyData OSS 1.0.0-RC1 Release

The SnappyData team is pleased to announce the availability of version 1.0.0-RC1 of the platform.

New Features:

• Fully compatible with Apache Spark 2.1.1
• Mutability support for column store (SNAP-1389):
  -- UPDATE and DELETE operations are now supported on column tables.
• ALTER TABLE support for row table (SNAP-1326).
• Security Support (available in enterprise edition): This release introduces cluster security with authentication and authorisation based on LDAP mechanism. Will be extended to other mechanisms in future (SNAP-1656, SNAP-1813).
• Support for setting scheduler pools using the set command.
• Multi-node cluster now boots up quickly as background start of server processes is enabled by default.
• Pulse Console: SnappyData Pulse has been enhanced to be more useful to both developers and operations personnel (SNAP-1890, SNAP-1792). Improvements include
  -- Ability to sort members list based on members type.
  -- Added new UI view named SnappyData Member Details Page which includes, among other things, latest logs.
  -- Added members Heap and Off-Heap memory usage details along with their storage and execution splits.
• Users can specify streaming batch interval when submitting a stream job via conf/snappy-job.sh (SNAP-1948).
• Row tables now support LONG, SHORT, TINYINT and BYTE datatypes (SNAP-1722).
• The history file for snappy shell has been renamed from .gfxd.history to .snappy.history. You may copy your existing ~/.gfxd.history to ~/.snappy.history to be able to access your historical snappy shell commands.

Performance Enhancements:

• Performance enhancements with dictionary decoder when dictionary is large. (SNAP-1877)
  -- Different sessions end up creating different code due to indeterminate statsPredicate
  ordering. Now using a consistent sort order so that generated code is identical across
  sessions for the same query.
  -- Reduced the size of generated code.
• Indexed cursors in decoders to improve heavily filtered queries (SNAP-1936)
• Performance improvements in Smart Connector mode, specially with queries on tables with wide schema (SNAP-1363, SNAP-1699)
• Several other performance improvements.

Select bug fixes and performance related fixes:
Some of these are included below. For the complete list, see ReleaseNotes.txt.

• Fixed data inconsistency issues when a new node is joining the cluster and at the same time write operations are going on. (SNAP-1756).
• The product internally does retries on redundant copy of partitions on the event of a node failure (SNAP-1377, SNAP-902).
• Fixed the wrong status of locators on restarts. After cluster restart, snappy-status-all.sh used to show locators in waiting state even when the actual status changed to running (SNAP-1893).
• Fixed the SnappyData Pulse freezing when loading data sets (SNAP-1426).
• More accurate accounting of execution and storage memory (SNAP-1688, SNAP-1798).
• Corrected case-sensitivity handling for query API calls (SNAP-1714).

Description of download artifacts:

Artifact Name	Description
snappydata-1.0.0-rc1-bin.tar.gz	Full product binary (includes Hadoop 2.7)
snappydata-1.0.0-rc1-bin.zip	Full product binary (includes Hadoop 2.7)
snappydata-1.0.0-rc1-without-hadoop-bin.tar.gz	Product without the Hadoop dependency JARs
snappydata-1.0.0-rc1-without-hadoop-bin.zip	Product without the Hadoop dependency JARs
snappydata-client-1.5.6-rc1.jar	Client (JDBC) JAR
snappydata-core_2.11-1.0.0-rc1.jar	The only dependency needed to connect to SnappyStore from Apache Spark 2.1.1 cluster (Smart Connector mode)
snappydata-zeppelin-0.7.1.jar	The Zeppelin interpreter jar for SnappyData, compatible with Apache Zeppelin 0.7

(Details will be added here soon)