diff --git a/docs/administration.md b/docs/administration.md index 23b5d17f0..22db9c797 100644 --- a/docs/administration.md +++ b/docs/administration.md @@ -55,6 +55,18 @@ When importing large datasets remember it is much faster to pre sort the data by pilosa import --sort -i project -f stargazer project-stargazer.csv ``` +##### Importing Field Values + +If you are using [BSI Range-Encoding](../data-model/#bsi-range-encoding) field values, you can import field values for a single frame and single field using `--field`. The CSV file should be in the format `ColumnID,Value`. + +``` +pilosa import -i project -f stargazer --field star_count project-stargazer-counts.csv +``` + +
+

Note that you must first create a frame with Range Encoding enabled and a field. View Create Frame for more details.

+
+ #### Exporting Exporting Data to csv can be performed on a live instance of Pilosa. You need to specify the Index, Frame, and View(default is standard). The API also expects the slice number, but the `pilosa export` sub command will export all slices within a Frame. The data will be in csv format RowID,ColumnID and sorted by column ID.