JSON Files

Compressed

Required

Choose Yes or No depending on the file compression

{Yes,No}

Default Value: No

Compression Type

Dependant

Required (If Compressed = Yes)

Specify the file compression type

{Zip,Gzip}

Folder Path

Required

String value (eg:folder/subfolder)

String value (eg:folder/subfolder)

File Name

Required

Specify the File Name. In cases where the user doesn’t remember complete name of file, specify file name match type using the operator which takes values as 'Exact, Startswith, Endswith, and Contains'.

String value (eg:abc.csv)

Default Value: Exact (For the operator)

Process All Files in Folder

Required

Select Yes or No, depending on if all files in folder are to be processed or not

{Yes,No}

Default Value: Yes

File Selection Criteria

Dependant

Required

(If Process All Files in Folder = NO)

Choose File’s creation or modification Date

{Date Created,Date Modified}

Default Value: Date Created

Post Processing Actions

Required

Actions to be performed once the file processing has been completed

{No Action,Move Files}

Default Value: No Action

Move File Destination

Dependant

Required

(If Post Processing Actions = Move Files)

Specify the folder where the files are to be moved

String value (eg:test_folder/)

Attempt Schema Inference

Required

If Yes then value types will be fetched as it is, eg: Float will be fetched as float. If No then everything will be fetched as string irrespective of its type.

{Yes,No}

Default Value: No

Insert Mode

Required

Specifies the manner in which data will get updated in the data warehouse : Upsert will insert only new records or records with changes, Append will insert all fetched data at the end, Replace will drop the existing table and recreate a fresh one on each run.

{Upsert,Append,Replace}

Default Value: Replace

Key

Dependant

Required

(If Upsert is chosen as the Insert Mode Type)

Enter the column name based on which data is to be upserted.

String value