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Info | ||
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NOTE: During import, the |
Info |
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NOTE: Filenames that include special characters can cause problems during import or when publishing to a file-based datastore. |
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General:
Code Block "/"
Seb browser:
Code Block "\"
Excel filenames:
Code Block "#"
Native Input File Formats
D s product | ||
---|---|---|
|
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- CSV
JSON v1, including nested
Info NOTE: Excel import is supported through file upload only.
Tip Tip: You may import multiple worksheets from a single workbook at one time. See Import Excel Data in the User Guide.
- CSV
- JSON, including nested
JSON files can be read natively but often require additional work to properly structure into tabular format. Depending on how the
is configured (v1 or v2), JSON files may require conversion before they are available for use in the application. See "Converted file formats" below.D s webapp Info NOTE:
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 GuideD s product - Plain Text
- LOG
- TSV
Parquet
Info NOTE: When working with datasets sourced from Parquet files, lineage information and the
$sourcerownumber
reference are not supported.
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For more information on data is handled initially, see Initial Parsing Steps in the User Guide.
Converted file formats
Files of the following type are not read into the product in their native format. Instead, these file types are converted using the Conversion Service into a file format that is natively supported, stored in the base storage layer, and then ingested for use in the product.
Info |
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NOTE: Compressed files that require conversion of the underlying file format are not supported for use in the product. |
Converted file formats:
Excel (XLS/XLSX)
Info NOTE: Other Excel-related formats, such as XLSM format, are not supported.
Tip Tip: You may import multiple worksheets from a single workbook at one time. See Import Excel Data in the User Guide.
Google Sheets
Tip Tip: You may import multiple sheets from a single Google Sheet at one time. See Import Google Sheets Data in the User Guide.
...
PDF
- PDF is supported for import only.
- See Import PDF Data in the User Guide.
- JSON v2
Notes on JSON:
There are two methods of ingesting JSON files for use in the product.
JSON v2 - This newer version reads the JSON source file through the Conversion Service, which stores a restructured version of the data in tabular format on the base storage layer for quick and simple use within the application.
Tip Tip: This method is enabled by default and is recommended. For more information, see Working with JSON v2.
JSON v1 - This older version reads JSON files directly into the platform as text files. However, this method often requires additional work to restructure the data into tabular format. For more information, see Working with JSON v1.
Native Output File Formats
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- BigQuery Table
Compression Algorithms
When a file is imported, the
D s webapp |
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.gz
files are assumed to be compressed with GZIP. Info |
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NOTE: Import of a compressed file whose underlying format is binary, such as Excel or PDF, requires conversion through the Conversion Service is not supported. |
Read Native File Formats
GZIP | BZIP | Snappy | Notes | |
CSV | Supported | Supported | Supported | |
JSON v2 | Not supported | Not supported | Not supported | A converted file format. See above. |
JSON v1 | Supported | Supported | Supported | Not a converted file format. See above. |
Avro | Supported |
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Write Native File Formats
GZIP | BZIP | Snappy | |
CSV | Supported | Supported | Not supported |
JSON | Supported | Supported | Not supported |
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Snappy compression formats
D s product |
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File extension | Format name | Notes | ||
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.sz | Framing2 format | See: https://github.com/google/snappy/blob/master/framing_format.txt | ||
.snappy | Hadoop-snappy format | See: https://code.google.com/p/hadoop-snappy/
|
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