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Changes for page Notes for TTN

Last modified by Xiaoling on 2025/08/04 14:58
From version 202.1
edited by Bei Jinggeng
on 2023/03/15 18:03
Change comment: There is no comment for this version
To version 205.1
edited by Bei Jinggeng
on 2023/03/21 16:12
Change comment: There is no comment for this version

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... ... @@ -831,7 +831,7 @@
831 831  
832 832  Devices are now registered on The Things Stack.
833 833  
834 -= JSON File Reference =
834 +=== JSON File Reference ===
835 835  
836 836  The Things Stack allows you to import end devices from V2, ChirpStack and other LoRaWAN networks using a JSON file describing those devices.
837 837  
... ... @@ -872,7 +872,7 @@
872 872  The format above is considered by the Console and CLI as a JSON stream, processing one object at a time. For more details in how to use the file
873 873  
874 874  
875 -= CSV File Reference =
875 +=== CSV File Reference ===
876 876  
877 877  The Things Stack has support for importing end devices from CSV (comma-separated values) files. This is useful when batches of end devices are managed in Microsoft Excel or any other spreadsheet or database that can export to CSV file.
878 878  
... ... @@ -884,8 +884,10 @@
884 884  * Use quotes to use in a field value;
885 885  * Use double quotes to escape quotes
886 886  * Unknown header columns are permitted and ignored
887 +* Name and id cannot have capital letters and special characters
888 +* Example column lorawan_phy_version is not needed
887 887  
888 -== Example ==
890 +=== Example ===
889 889  
890 890  Minimal example:
891 891  
... ... @@ -903,6 +903,6 @@
903 903  test-three;3333333333333333;3333333333333333;Device 3;EU_863_870_TTN;MAC_V1_0_4;RP002_V1_0_3;the-things-industries;generic-node-sensor-edition;1.0.4;1.0;EU_863_870;33333333333333333333333333333333
904 904  }}}
905 905  
906 -== Excel Template ==
908 +=== Excel Template ===
907 907  
908 908  [[Download the Excel template>>url:https://www.thethingsindustries.com/docs/getting-started/migrating/tts-end-devices-csv-template.xlsx]]. You can remove all columns that are not required (see above).