Read CSV formatted files in one S3 location and save them as JSON formatted files in another S3 location.
Create JSON formatted versions of files with character separated values.
Variables
Select the AWS Access Keys to use to access the S3 bucket where the CSV files are stored.
Select the Shared Config that contains information about the S3 Bucket where the CSV files are stored.
Path from the starting folder in the S3 Bucket Configuration to the folder where the CSV files are stored.
Type of compression applied to the CSV files.
Maximum number of pages to examine to discover files in the bucket. Each page has 1,000 files.
Number of tracking records to examine to determine which files have already been processed. Leave blank to examine all records.
Reprocess any files that have been in processing status longer than the number of minutes specified.
Reprocess files with a error status recorded.
Specify a comma separated list of column names, in order, to use instead of the values in the header rows identified.
Line number containing the column names. This field is ignored if the Column Names field has a value.
Character used to separate values in the CSV files.
Select the AWS Access Keys to use to access the S3 bucket where the JSON files will be stored.
Select the Shared Config that contains information about the S3 Bucket where the JSON files will be stored.
Path from the starting folder in the S3 Bucket Configuration to the folder where the JSON files will be stored.
Type of compression to apply to the JSON files.
Enable to allow an existing file with the same name in the Target Folder to be overwritten.
MySQL database where the processing status of each file is stored.
Table, in schema.name format, where the processing status of each file is stored.