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.
Filenames:
NOTE: Filenames that include special characters can cause problems during import or when publishing to a file-based datastore. Do not use the slash (/) character in your filenames.
Native Input File Formats:
Designer Cloud Enterprise Edition can read and import directly these file formats:
Excel (XLS/XLSX), upload only
Tip: You may import multiple worksheets from a single workbook at one time. See Import Excel Data.
- CSV
JSON, including nested
NOTE: Designer Cloud Enterprise 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.
- Plain Text
- LOG
- TSV
XML
Tip: XML files can be ingested as unstructured text.
Avro
NOTE: Designer Cloud Enterprise Edition supports Hive connectivity, which can be used to read data for Hadoop file formats that are not listed here, such as Parquet. For more information, please view the documentation for your Hive version.
For more information on data is handled initially, see Initial Parsing Steps.
Native Output File Formats:
Designer Cloud Enterprise Edition can write to these file formats:
- CSV
- JSON
- Tableau (TDE)
Avro
NOTE: The Photon and Spark running environments apply Snappy compression to this format.
Parquet
NOTE: The Photon and Spark running environments apply Snappy compression to this format.
Compression Algorithms:
NOTE: Importing a compressed file with a high compression ratio can overload the available memory for the application. In such cases, you can uncompress the file before uploading.
Or, if that fails, you should contact your administrator about increasing the Java Heap Size memory.NOTE: GZIP files on Hadoop are not split across multiple nodes. As a result, jobs can crash when processing it through a single Hadoop task. This is a known issue with GZIP on Hadoop.
Where possible, limit the size of your GZIP files to 100 MB of less, or use BZIP2 as an alternative compression method. As a workaround, you can try to run the job on the unzipped file. You may also disable profiling for the job. See Run Job Page.
Read Native File Formats:
| GZIP | BZIP | Snappy | |
| CSV | Supported | Supported | Supported |
| JSON | Supported | Supported | Supported |
| Avro | Supported | ||
| Hive | Supported |
Write Native File Formats:
| GZIP | BZIP | Snappy | |
| CSV | Supported | Supported | Supported |
| JSON | Supported | Supported | Supported |
| Avro | Supported; always on | ||
| Hive | Supported; always on |
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