S3 Writer
Last updated
Last updated
An S3 Writer is designed to write data to an S3 bucket in AWS. S3 readers typically authenticate with S3 using AWS credentials, such as an access key ID and secret access key, to gain access to the S3 bucket and its contents.
All component configurations are classified broadly into the following sections:
Meta Information
Check out the steps given in the demonstration to configure the S3 Writer component.
Bucket Name (*): Enter S3 Bucket name.
Access Key (*): Access key shared by AWS to login.
Secret Key (*): Secret key shared by AWS to login.
Table (*): Mention the Table or object name which is to be read.
Region (*): Provide S3 region.
File Type (*): Select a file type from the drop-down menu (CSV, JSON, PARQUET, AVRO are the supported file types).
Save Mode: Select the Save mode from the drop down.
Schema File Name: Upload spark schema file in JSON format.
Column Filter: There is also a section for the selected columns in the Meta Information tab if the user can select some specific columns from the table to read data instead of selecting a complete table so this can be achieved by using the Column Filter section. Select the columns which you want to read and if you want to change the name of the column, then put that name in the alias name section otherwise keep the alias name the same as of column name and then select a Column Type from the drop-down menu.
Use Download Data and Upload File options to select the desired columns.
Upload File: The user can upload the existing system files (CSV, JSON) using the Upload File icon (file size must be less than 2 MB).
Download Data: Users can download the schema structure in JSON format by using the Download Data icon.
Partition Columns: Provide a unique Key column name to partition data in Spark.
