I am trying to make a simple Vespa application, where one of my data fields are an Array. However the array contains some null values. For instance an array like: [2.0,1.4,null,5.6,...].
What can I use instead of float to represent elements in the array?
Seems like you want to use a sparse tensor field instead since some addresses does not have a value. x{} denotes a sparse tensor, x[128] is an example of a dense tensor. See https://docs.vespa.ai/documentation/tensor-user-guide.html for an intro to vespa tensor fields.
field stuff type tensor<float>(x{}) {
indexing: summary |attribute
}
[
{ "put": "id:example:example::0", "fields": {
"stuff" : {
"cells": [
{ "address" : { "x" : "0" }, "value": 2.0 },
{ "address" : { "x" : "1" }, "value": 1.4 },
{ "address" : { "x" : "3" }, "value": 5.6 },
]
}
}
}
]