v2.3.0

• Overwrite existing tables in the metastore.
• Add functions module and provide switch_case column generation and multijoin.
• Add implicit test target import and extended assertEqual variation.
• Support writing to redis:// and rediss:// URLs.
• Add LRU cache that persists DataFrames under the hood.
• Add ability to check whether a complex type defines specific fields.

v2.2.1

• spark.sql.shuffle.partitions in SparklyTest should be set to string,
  because int value breaks integration testing in Spark 2.0.2.

v2.2.0

• Add instant iterative development mode. sparkly-testing --help for more details.
• Use in-memory db for Hive Metastore in SparklyTest (faster tests).
• spark.sql.shuffle.partitions = 4 for SparklyTest (faster tests).
• spark.sql.warehouse.dir = <random tmp dir> for SparklyTest (no side effects)

v2.1.1

• Fix: remove backtick quoting from catalog utils to ease work with different databases.

v2.1.0

• Add ability to specify custom maven repositories.

v2.0.4

• Make it possible to override default value of spark.sql.catalogImplementation

v2.0.3

• Add KafkaWatcher to facilitate testing of writing to Kafka
• Fix a few minor pyflakes warnings and typos

v2.0.2

• Fix: #40 write_ext.kafka ignores errors.

v2.0.1

• Migrate to Spark 2, Spark 1.6.x isn't supported by sparkly 2.x.
• Rename SparklyContext to SparklySession and derive it from SparkSession.
• Use built-in csv reader.
• Replace hms with catalog_ext.
• parse_schema is now consistent with DataType.simpleString method.

v1.1.1

• Fix: kafka import error.