* ??? Kubernetes source https://github.com/dataux/dataux/pull/31 * 11/27/16 BigTable Data Source https://github.com/dataux/dataux/pull/30 * 11/10/16 upgrade grid to newer version, rework the gnats, etcd apis * 9/8/16 New balancer to schedule work more evently across nodes https://github.com/dataux/dataux/pull/26 * 8/28/16 massive schema improvements https://github.com/dataux/dataux/pull/25 * 8/14/16 Cassandra Data Source https://github.com/dataux/dataux/pull/21 * 6/27/16 Update data-types to ensure it works with metabase, first real use-case https://github.com/dataux/dataux/pull/17 * 04/27/16 Distributed runtime https://github.com/dataux/dataux/pull/16 ## v 0.13 March 27th 2016 * Cloud Based Files datasource (csv, json, etc) uses distributed query engine. Use Google Storage files as datasource. Includes pluggable scanner-parser, so custom file formats can easily have an adapter added. * improve the distributed execution engine, with cleaner start, stop, finish mechanics including better flushing, ensuring each task is drained appropriately. * **QLBridge Improvements** *Better internal Schema Query planning, system (SHOW, DESCRIBE) with schemadb https://github.com/araddon/qlbridge/pull/68 * introspect csv files for types * convert `SHOW`, `DESCRIBE` into `SELECT` statements * better internal data-source registry ## v 0.12 February 2016 * Distributed Query runtime using Actors and Nats.io message passing. * Distributed Queries required new implementation of query planner * Utilize Metafora for Task Scheduler https://github.com/lytics/metafora * Utilize Grid for Distributed Work primitives https://github.com/lytics/grid: * actors * message passing/hashing/rings via Nats.io