File formats for import and export

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Import file formats

The Sift UI supports the following file formats for import:

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Import file settings

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CSV

Settings and requirements for importing CSV files.

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File requirements

Your CSV file must meet the following requirements before importing.

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Dialog settings

Settings in the Upload CSV dialog.

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Parquet

Settings and requirements for importing Parquet files.

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File requirements

Your Parquet file must meet the following requirements before importing.

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Flat Dataset dialog settings

Settings in the Upload Parquet: Flat Dataset dialog.

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Channel Per Row dialog settings

Settings in the Upload Parquet: Channel Per Row dialog.

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Complex types modes

Applies to Flat Dataset Parquet files.

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TDMS

Settings for importing TDMS files.

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Dialog settings

Settings in the Upload TDMS dialog.

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Channel mapping

TDMS imports use the group and Channel hierarchy embedded in the file to derive Channel names. The TDMS dialog does not expose a per-Channel configuration table. Channel-level description properties are imported and appear in the Channel detail panel in the Run view. Embedded enum configurations are also imported and surfaced as enum types on the Channel. To select specific Channels and control how each is imported via the REST API or Python client, use TdmsDataConfig entries in the data field of TDMSConfig. This is recommended when your TDMS file structure does not fit one of the predefined import behaviors. When data is empty, Sift imports all Channels and applies the fallback method to any with missing timing information. See TDMSConfig in the protocol buffers reference.

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HDF5

Settings for importing HDF5 files.

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Schemas

The schema determines how Sift interprets the structure of your HDF5 file.

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Dialog settings

These settings appear in all three HDF5 upload dialogs.

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Programmatic Channel mapping

To map specific datasets to Channels via the REST API or Python client, use Hdf5DataConfig entries in the data field of Hdf5Config. This is recommended when your HDF5 file structure does not fit one of the predefined schemas. When data is empty, Sift does not automatically import all datasets; use the predefined schemas instead. See Hdf5Config in the protocol buffers reference.

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Timestamp formats

Supported timestamp formats for the Time Format setting.

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Channel configuration table

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CSV and Parquet

Shown for CSV and Parquet (Flat Dataset). Each non-timestamp column appears as one row.

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HDF5

Each row maps one dataset to a Channel. The columns available are the same across all three HDF5 schemas.

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Data types

Supported data types for the Data Type field in the Channel configuration table.

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Export file formats

The Sift UI supports the following file formats for export:

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Export file settings

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Channel name display

Controls how Channel names appear in column headers.

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File splitting

Controls how exported data is partitioned across multiple files.

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Channel data grouping

Determines how Channels are organized within the exported files.