0.5.0-RC1

• Upgrade to Spark 2.0
• Optimized accumulators with AccumulatorV2 API
• Removed crossbuild with Spark 1.6 and 1.5

0.5.0

• Upgrade to Spark 2.0
• Optimized accumulators with AccumulatorV2 API
• Removed crossbuild with Spark 1.6 and 1.5

0.4.0-RC1

• Upgrade scala version to 2.11.8
• Upgrade to rabbitMQ library version 3.6.6
• Removed Array[Byte] in createStream API
• The library now run with Delivery message of RabbitMQ
• Added tests with Delivery message option
• Bugfix: Send noAck when store messages fails
• Bugfix: Integer conversion in message parameters
• Bugfix: Close connections correctly

0.4.0

• Upgrade scala version to 2.11.8
• Upgrade to rabbitMQ library version 3.6.6
• Removed Array[Byte] in createStream API
• The library now run with Delivery message of RabbitMQ
• Added tests with Delivery message option
• Bugfix: Send noAck when store messages fails
• Bugfix: Integer conversion in message parameters
• Bugfix: Close connections correctly

0.3.0-RC2

• Compatibility for Spark version 1.6.1
• Bug fixing
• Distributed RabbitMQ consumer with direct approach
• Parallelize the consumption in one node, to have more than one consumer
• Encapsulated consumer and pool of consumers
• Optimized RabbitMQRDD functions in order to have better performance
• RabbitMQ messages can be typed
• Integration tests added for Scala implementation
• Java examples and refactor rabbitMQUtils

0.3.0

• Compatibility for Spark version 1.6.1
• Bug fixing
• Distributed RabbitMQ consumer with direct approach
• Parallelize the consumption in one node, to have more than one consumer
• Encapsulated consumer and pool of consumers
• Optimized RabbitMQRDD functions in order to have better performance
• RabbitMQ messages can be typed
• Integration tests added for Scala implementation
• Java examples and refactor rabbitMQUtils

0.3.0-RC1

• Compatibility for Spark version 1.6.1
• Bug fixing
• Distributed RabbitMQ consumer with direct approach
• Parallelize the consumption in one node, to have more than one consumer
• Encapsulated consumer and pool of consumers
• Optimized functions of RabbitMQRDD in order to have better performance
• RabbitMQ messages can be typed

0.2.0-RC1

• Compatibility for Spark versions 1.4 and 1.5
• Bug fixing

0.2.0

• Compatibility for Spark versions 1.4 and 1.5
• Bug fixing