FileSystemExport

Export data in Visual Notebooks to the C3 FileSystem. Depending on the C3 AI Deployment, files exported to the C3 AI FileSystem will be stored in AWS S3, Google Cloud Storage, Azure Blob, or an on-premise file system. The Filesystem Export node enables Visual Notebooks Users to share data and collaborate with data scientists and app developers.

Prerequisites

The user must be in the appropriate Admin Group and have the correct roles to be authorized to write data from the filesystem to Visual Notebooks. Please speak to the C3 AI Support Team to ensure proper setup.

Configuration

Field	Description
Name default=none	A user-specified node name displayed in the canvas
Data Path Required	The URL path in the C3 AI FileSytem where the data should be saved
Type in the directory URL where the data is to be saved.
Format default=`CSV`	The file format to be used in saving the data
Set the format to CSV, Parquet, or JSON.
Has Header default=`On`	Specify if the data has column header names
Toggle this switch on if the data has a header column with names
Delimiter default=`, Comma`	The character that separates values
Set the delimiter to Comma, Pipe, Colon, Semicolon, Tab, or Space. Only change this field if the file to upload uses nonstandard formatting.
Quote default=`"`	The character that surrounds values to ignore
Set the quote to any character. Delimiters inside quotes are ignored. Only change this field if the file to upload uses nonstandard formatting.
Select Timestamp Format Option default=`Autodetect`	Specify the format of timestamps or use autodetection for inference
By default, Visual Notebooks autodetects timestamp columns. If needed, specify a custom format to fit data requirements.
Batch Size default=`10000`	Specify the batch size for partitioning the file
By default Visual Notebooks partitions the file and creates multiple "parts" to speed up performance.