We need to clamp accumulations to fit in our data representation (int). This
patch records the number of times, and for which probes, we had to do so.
MozReview-Commit-ID: GSs3oFvLKlL
Extended the Telemetry::Accumulate() API to accept a string key and a nsTArray of Telemetry::LABELS_*
enums. The typesafety of the class templates ensures there are no label mismatches within the array.
Since there is no singular version for accumulating a single string label into a keyed categorical
histogram, support for the plural version with multiple string labels has not been included here.
Telemetry::Accumulate now supports two new signatures: Accumulate(HistogramId, nsTArray stringLabels) and
Accumulate(nsTArray enumValues). In the stringLabels case, if the array contains an invalid label, then no
samples are accumulated at all. In the enumValues array case, the class template ensures that we do not have
a mismatch of labels in the array, since the enumValues class is tied to the id of the histogram we want to
accumulate to.
Extended the Telemetry::Accumulate API to take a Histogram ID, string key, and a nsTArray<uint32_t> of samples.
Test cases check for linear, count and histograms with a set of allowed keys. Made changes to fix try failures.
Added another Telemetry::Accumulate function that takes a histogram id and an array of samples as arguments.
As of this patch, adding multiple samples to keyed and categorical histograms is not supported.
With the removal of the old addonHistograms, all histograms are now registered.
So removing registered(Keyed)Histograms should be straightforward?
Unfortunately not, as this was how we filtered data based on dataset
(opt-in/opt-out), so a little more fiddling was needed to get C++ to only
serialize dataset-appropriate data (instead of post-facto filtering it in JS).
MozReview-Commit-ID: HDplhmzmzJl
Some tests were using "secret" APIs to get at telemetry knowledge from various
processes in various ways. Adjust them so that they work with the new ways of
doing things.
MozReview-Commit-ID: 2iBL00HVGyg
