This section contains information on the fie formats and compression schemes that are supported for input to and output of #UNKNOWN_PRODUCT_EDITION#.
NOTE: To work with formats that are proprietary to a desktop application, such as Microsoft Excel, you do not need the supporting application installed on your desktop.
NOTE: Filenames that include special characters can cause problems during import or when publishing to a file-based datastore.
Forbidden characters in import filenames:
The following list of characters present issues in the listed area of the product. If you encounter issues, the following listings may provide some guidance on where the issue occurred.
Tip: You should avoid using any of these characters in your import filenames. This list may not be complete for all available running environments.
Spark running environment:
Native Input File Formats
#UNKNOWN_PRODUCT_EDITION# can read and import directly these file formats:
Tip: You may import multiple worksheets from a single workbook at one time. See Import Excel Data in the User Guide.
- PDF is supported for import only.
- See Import PDF Data in the User Guide.
JSON, including nested
NOTE: #UNKNOWN_PRODUCT_EDITION# requires that JSON files be submitted with one valid JSON object per line. Consistently malformed JSON objects or objects that overlap linebreaks might cause import to fail. See Initial Parsing Steps in the User Guide
- Plain Text
NOTE: When working with datasets sourced from Parquet files, lineage information and the
$sourcerownumberreference are not supported.
For more information on data is handled initially, see Initial Parsing Steps in the User Guide.
Native Output File Formats
#UNKNOWN_PRODUCT_EDITION# can write to these file formats:
NOTE: Publication of results in Hyper format may require additional configuration. See below.
Read Native File Formats
Write Native File Formats
|Avro||Supported; always on|
This page has no comments.