Preview release 2.0.0 M3

This release is to fix shading in the artifacts released to Maven

Release 1.6.2

This release is to fix shading of the artifacts released to Maven.

Preview release 2.0.0 M2

This release includes all patches from 1.6.1:

1.6.1

• Disallow TimeUUID Predicate Pushdown (SPARKC-405)
• Avoid overflow on SplitSizeInMB param (SPARKC-413)
• Fix conversion of LocalDate to Joda LocalDate (SPARKC-391)
• Shade Guava to avoid conflict with outdated Guava in Spark (SPARKC-355)

Release 1.6.1

1.6.1

• Disallow TimeUUID Predicate Pushdown (SPARKC-405)
• Avoid overflow on SplitSizeInMB param (SPARKC-413)
• Fix conversion of LocalDate to Joda LocalDate (SPARKC-391)
• Shade Guava to avoid conflict with outdated Guava in Spark (SPARKC-355)

Release 2.0.0 M1 preview

2.0.0 M1

• Added support for left outer joins with C* table (SPARKC-181)
• Removed CassandraSqlContext and underscore based options (SPARKC-399)
• Upgrade to Spark 2.0.0 (SPARKC-396)
  • Removed Twitter demo because there is no spark-streaming-twitter package available anymore
  • Removed Akka Actor demo becaues there is no support for such streams anymore
  • Bring back Kafka project and make it compile
  • Update several classes to use our Logging instead of Spark Logging because Spark Logging became private
  • Update few components and tests to make them work with Spark 2.0.0
  • Fix Spark SQL - temporarily
  • Update plugins and Scala version

Release 1.2.6

1.2.6

• Fixed Default ReadConf for JoinWithCassandra Table (SPARKC-294)
• Added refresh cassandra schema cache to CassandraSQLContext (SPARKC-234)

Release 1.6.0

1.6.0

• SparkSql write supports TTL per row (SPARKC-345)
• Make Repartition by Cassandra Replica Deterministic (SPARKC-278)
• Improved performance by caching converters and Java driver codecs.
  (SPARKC-383)
• Added support for driver.LocalDate (SPARKC-385)
• Accept predicates with indexed partition columns (SPARKC-348)
• Retry schema checks to avoid Java Driver debouncing (SPARKC-379)
• Fix compatibility with Cassandra 2.1.X with Single Partitions/In queries.
  (SPARKC-376)
• Use executeAsync while joining with C* table (SPARKC-233)
• Fix support for C* Tuples in Dataframes (SPARKC-357)

Release 1.5.1

This release is only for including patches from version 1.4.4.

Release 1.4.4

1.4.4

• Use executeAsync when joining with C* table (SPARKC-233)

Release 1.4.3

1.4.3

• Disable delayed retrying (SPARKC-360)
• Improve DataFrames ErrorIfExists Message (SPARKC-338)