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CHANGELOG.md

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Changelog

0.9.0 (Upcoming)

0.8.0 (December 2015)

  • Solved issue related to PID folder creation.
  • New parser Stratio Ingestion
  • Upgrade to Spark 1.5.2
  • Possibility to package two Spark versions: 1.4.1 and 1.5.2
  • MongoDb output updated to version 0.10.1
  • New Solr output
  • Migration of doc to confluence: https://stratio.atlassian.net/wiki/display/SPARKTA0x8/
  • Solved issue when a policy is stopped in the cluster
  • Improve performance in associative operators
  • Automatic deploy of policies in clusters: Spark Standalone, Mesos and YARN
  • Improve Cassandra Output. Possibility to introduce Spark properties
  • Solved issue related to stopping Sparkta service
  • bug corrected in aggregations, Array Index out of bounds

0.7.0 (November 2015)

  • Bugfix: Front Minors
  • Bugfix: Back Minors
  • Bugfixes Cassandra
  • Bugfixes Elasticsearch
  • Package installation permissions fixes
  • Bugfix: DateTime field and parser

0.6.2 (September 2015)

  • Bugfix: DateTime now parses string formats
  • Bugfix: Permission issues running Sparkta service
  • Bugfix: Minor errors in user interface

0.6.1 (September 2015)

  • Hotfix: User interface was not showing up

0.6.0 (September 2015)

  • Upgrade Spark version to 1.4.1
  • User Interface to help create your cubes
  • Automatic deployment in Mesos cluster
  • Policy status lifecycle
  • New WebSocket input
  • Elasticsearch output updated to version 1.7
  • New EntityCount and TotalEntityCount operators
  • Filters in operators

0.5.0 (July 2015)

  • Added compatibility with Apache Spark 1.4.x
  • Released a specific distribution for Apache Spark 1.3.x
  • Support for fragment composition in policies.
  • Policy refactor. Improved semantic of the JSON.
  • Parquet and CSV outputs.
  • Improved Twitter input. Possibility to filter tweets by hashtag.
  • Fixed important bug in Elasticsearch output. Fields are mapped according to their type.

0.4.0 (May 2015)

  • SandBox Stratio Sparkta
  • Integration with Spark 1.3.1
  • Auto create time series in outputs if not exist time dimension
  • Full integration in Outputs with Spark DataFrames
  • Auto create "Id" in DataFrames with dimensions
  • Save Raw data in Parquet files
  • Auto detection schema with policies
  • Reflexions for native plugins
    • Interactive documentation
    • Client SDK generation and discoverability
    • Compatibility with multiple oputputs
  • Output Cassandra:
    • Auto tables creation
    • Auto primary key and column families detection
    • Auto index creation
  • Output ElasticSearch:
    • Options in mapping date types
    • Auto index type with time fields
  • Output Redis
  • Input Kafka Direct Streaming integrated in Spark 1.3.0
  • Input RabbitMq
  • Full-Text operator
  • Accumulator operator
  • Last Value operator