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Microosft Azure Mobile Services
Publ2shed on Codeplex and GitHub. More details later:Win10 IoT Core Universal Windows App runs on a Raspberry PI 2 (& desktop) that reads some sensors (on an Arduino board) saves to and from Azure Mobile Service
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Version 1 AzMS Tables use an auto-incremented integer field as the primary key which is more compact than the GUID string used in version 2 AzMS tables.. The Azure Portal generates Version 2 tables which can be inefficient for resource limited embedded devices. This blog covers how to generate version 1 AzMS tables.
In the previous blog in this series, using Flash for non-volatile program data was covered. One aspect of this was the F( ) macro that enables Serial.print/println strings to be accessed from Flash where the program is stored. That is, they do not consume RAM space allowing for more volatile programming space. This blog compares using and not using the F( ) macro. In the Telemetry sketch this allows for nearly double the number of name-value pairs
In the quest to reduce RAM usage with a RAM challenged Arduino device, this blog covers using permanent storage (Flash and EEPROM).
In Part 9 of this series, it was shown how to create a Version 1 table such that the id field is an auto-incremented integer which saves storage space on a small device. Version 1 tables don't automatically save a creation and modification date. This blog covers how to do it with a Script.
The default id field for a Azure Mobile Services Table, that the table is indexed on, is a string. By default the string that is auto-generated is a 36 character GUID string. This can be 3 or more times rest of the data sent as a HTTP Response to a default HTTP GET for each record from the Telemetry table
. This blog discusses this issue and canvasses some options to resolve this overkill.
This blog covers the major revision of the Telemetry
to remove old, now unnecessary code, fix some bugs, further improve error responses, and a stored data structure that makes the parsed JSon data available after the HTTP Response processing is complete.
This blog covers the Stream Parser - State Machine code in detail...
This blog presents a more complete JSon parser in the Arduino context that extracts the data entities from each record. in the JSon string. It is implemented as a Stream Parser - State Machine.
The three TelemetrySensor Arduino apps that mimic the desktop/phone Universal app UI functions are created by copying and appropriately editing the ToDoItem Arduino apps.