This directory contains an idiomatic C++ client library for the Timeseries Insights API, with this API users can perform time series spike, trend, and anomaly detection. With a straightforward API and easy to understand results, the service makes it simple to gather insights from large amounts of time series data (e.g. monitoring datasets) and integrate these insights in their applications.
While this library is GA, please note that the Google Cloud C++ client libraries do not follow Semantic Versioning.
The quickstart/ directory contains a minimal environment to get started using this client library in a larger project. The following "Hello World" program is used in this quickstart, and should give you a taste of this library.
#include "google/cloud/timeseriesinsights/v1/timeseries_insights_controller_client.h"
#include "google/cloud/project.h"
#include <iostream>
int main(int argc, char* argv[]) try {
if (argc != 2) {
std::cerr << "Usage: " << argv[0] << " project-id\n";
return 1;
}
namespace timeseriesinsights = ::google::cloud::timeseriesinsights_v1;
auto client = timeseriesinsights::TimeseriesInsightsControllerClient(
timeseriesinsights::MakeTimeseriesInsightsControllerConnection());
auto const project = google::cloud::Project(argv[1]);
for (auto r : client.ListDataSets(project.FullName())) {
if (!r) throw std::move(r).status();
std::cout << r->DebugString() << "\n";
}
return 0;
} catch (google::cloud::Status const& status) {
std::cerr << "google::cloud::Status thrown: " << status << "\n";
return 1;
}- Official documentation about the Timeseries Insights API service
- Reference doxygen documentation for each release of this client library
- Detailed header comments in our public
.hfiles