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Showing content from https://cloud.google.com/cpp/docs/reference/timeseriesinsights/2.12.0 below:

C++ Client Libraries | Google Cloud

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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 following shows the code that you'll run in the google/cloud/timeseriesinsights/quickstart/ directory, which should give you a taste of the Timeseries Insights API C++ client library API.

#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;
}

The main class in this library is timeseriesinsights_v1::TimeseriesInsightsControllerClient. All RPCs are exposed as member functions of this class. Other classes provide helpers, configuration parameters, and infrastructure to mock timeseriesinsights_v1::TimeseriesInsightsControllerClient when testing your application.

The library automatically retries requests that fail with transient errors, and uses exponential backoff to backoff between retries. Application developers can override the default policies.

• Error Handling - describes how the library reports errors.
• How to Override the Default Endpoint - describes how to override the default endpoint.
• How to Override the Authentication Credentials - describes how to change the authentication credentials used by the library.
• Environment Variables - describes environment variables that can configure the behavior of the library.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-14 UTC.

[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-14 UTC."],[[["This webpage details the C++ client library for the Timeseries Insights API, which allows users to perform time series analysis like spike, trend, and anomaly detection on large datasets."],["The latest release candidate for this C++ library is version 2.37.0-rc, with multiple previous versions available, including 2.12.0, which is referenced within the content of this page."],["The primary class for interacting with the API is `timeseriesinsights_v1::TimeseriesInsightsControllerClient`, and the library manages request retries and backoff automatically."],["The library is in General Availability (GA), but it does not follow Semantic Versioning."],["The library offers customizable error handling, endpoint overrides, authentication credential adjustments, and environment variable configurations for advanced usage."]]],[]]

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