Release Notes Through 2019-02-22

New

1. Support for Parquet Format: https://support.etlworks.com/hc/en-us/articles/360018660554-Parquet

2. Support for Avro Format: https://support.etlworks.com/hc/en-us/articles/360018660234-Avro

3. Etlworks Integrator can now handle collisions when importing Flows: https://support.etlworks.com/hc/en-us/articles/360014484874#CollisionPolicies

4. Ability to add tags when importing Flows: https://support.etlworks.com/hc/en-us/articles/360014484874#Addingtags

5. The JSON parser can now handle arrays with a different number of elements. The following is an example of the irregular JSON array which can now be correctly parsed:

[

{"first":"Joe","last":"Doe","dob":"01/01/2001"},

{"first":"Simba","height":"24","weight":"100","age":3},

{"first":"Some","last":"Body","age":17}

]

6.  It is not required anymore to enter the Dimension when configuring the Google Analytics Connection. Before this change, if not selected or entered, the default dimension ( ga:Browser) was used.

7.  Added ability to configure Timeout and Auto-retry for Google Analytics Connection: https://support.etlworks.com/hc/en-us/articles/360013966634#Connectionparameters

 8. Snowflake Flows can now create Avro, Parquet, and XML files in the stage (in addition to previously available CSV and JSON). Read about data Formats supported by Snowflake: https://docs.snowflake.net/manuals/user-guide/data-load-prepare.html

Fixed

1. A bug that prevents using dynamically calculated file names when copying and moving files to S3 and Google Cloud Storage.

2. A bug that prevents viewing nested documents in Etlworks Explorer under some rare conditions.