What's New in 22R1.1

The Nitro 22R1.1 release includes several new features.

Our release notes offer brief, high-level descriptions of enhancements and new features. Configuration is available by selecting the feature name.

Features

Platform

Preserving Specified Filenames

To remove the need for users to rename a file using a 3rd party application, Nitro preserves the specified file name when exporting data using SFTP and AWS S3. The AWS RS unload command appends SFTP and AWS S3 with 000 or 001 when exported from Nitro. This feature reverts the filename to the one specified.

This feature is enabled by default when a new outbound connector is created. To disable it, deselect the Use specified extension? check box on the outbound connector setup screen.

To enable this feature on an existing outbound connector, edit the connector configuration and select the Use specified extension? check box on the outbound connector setup screen.

Nitro Workspaces

Nitro Workspace SDK (Beta)

To avoid performance issues when moving very large data sets, data scientists can now use the Nitro Workspace SDK to gain full access to their personal workspace data lake location. They can then write their analyzed result sets back to Nitro workspaces directly into the Nitro data lake instead of the data warehouse.

The Nitro Workspace SDK provides the following functionality:

  • Validates Nitro user for workspace access
  • Grants the user all necessary permissions to perform S3 operations for the duration of the session
  • Supported file operations include csv, parquet, and json
  • Available operations:
  • List directories/files under exact workspace location in S3
  • Delete file from exact workspace location in S3
  • Upload files from local file system to exact workspace location in S3
  • Download files from exact workspace location in S3 to local filesystem
  • Read files from exact workspace location in S3 into Pandas dataframe
  • Write Pandas dataframe as a file to exact workspace location in S3
  • Unload Redshift table to files in exact workspace location in S3
  • Copy files in exact workspace location in S3 into Redshift table