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 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. 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 preventing from using dynamically calculated file names when copying and moving files to S3 and Google Cloud Storage.

2.  A bug preventing from viewing nested documents in Explorer under some rare conditions.