Library reference docs
Namespaces
google::cloud::scheduler_v1
Classes
CloudSchedulerClient
Functions
CloudSchedulerConnectionIdempotencyPolicy
CloudSchedulerLimitedErrorCountRetryPolicy
CloudSchedulerLimitedTimeRetryPolicy
Structs
google::cloud::scheduler_v1_mocks
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When it is safe to do so, the library automatically retries requests that fail due to a transient error. The library then uses exponential backoff to backoff before trying again. Which operations are considered safe to retry, which errors are treated as transient failures, the details of the exponential backoff algorithm, and for how long the library retries are all configurable via policies.
This document provides examples showing how to override the default policies.
The policies can be set when the *Connection object is created. The library provides default policies for any policy that is not set. The application can also override some (or all) policies when the *Client object is created. This can be useful if multiple *Client objects share the same *Connection object, but you want different retry behavior in some of the clients. Finally, the application can override some retry policies when calling a specific member function.
The library uses three different options to control the retry loop. The options have per-client names.
Configuring the transient errors and retry durationThe *RetryPolicyOption controls:
You can provide your own class for this option. The library also provides two built-in policies:
*LimitedErrorCountRetryPolicy: stops retrying after a specified number of transient errors.*LimitedTimeRetryPolicy: stops retrying after a specified time.Note that a library may have more than one version of these classes. Their name match the *Client and *Connection object they are intended to be used with. Some *Client objects treat different error codes as transient errors. In most cases, only kUnavailable is treated as a transient error.
The *BackoffPolicyOption controls how long the client library will wait before retrying a request that failed with a transient error. You can provide your own class for this option.
The only built-in backoff policy is ExponentialBackoffPolicy. This class implements a truncated exponential backoff algorithm, with jitter. In summary, it doubles the current backoff time after each failure. The actual backoff time for an RPC is chosen at random, but never exceeds the current backoff. The current backoff is doubled after each failure, but never exceeds (or is "truncated") if it reaches a prescribed maximum.
The *IdempotencyPolicyOption controls which requests are retryable, as some requests are never safe to retry.
Only one built-in idempotency policy is provided by the library. The name matches the name of the client it is intended for. For example, FooBarClient will use FooBarIdempotencyPolicy. This policy is very conservative.
For example, this will override the retry policies for scheduler_v1::CloudSchedulerClient:
auto options =
google::cloud::Options{}
.set<google::cloud::scheduler_v1::
CloudSchedulerConnectionIdempotencyPolicyOption>(
CustomIdempotencyPolicy().clone())
.set<google::cloud::scheduler_v1::CloudSchedulerRetryPolicyOption>(
google::cloud::scheduler_v1::
CloudSchedulerLimitedErrorCountRetryPolicy(3)
.clone())
.set<google::cloud::scheduler_v1::CloudSchedulerBackoffPolicyOption>(
google::cloud::ExponentialBackoffPolicy(
/*initial_delay=*/std::chrono::milliseconds(200),
/*maximum_delay=*/std::chrono::seconds(45),
/*scaling=*/2.0)
.clone());
auto connection =
google::cloud::scheduler_v1::MakeCloudSchedulerConnection(options);
// c1 and c2 share the same retry policies
auto c1 = google::cloud::scheduler_v1::CloudSchedulerClient(connection);
auto c2 = google::cloud::scheduler_v1::CloudSchedulerClient(connection);
// You can override any of the policies in a new client. This new client
// will share the policies from c1 (or c2) *except* for the retry policy.
auto c3 = google::cloud::scheduler_v1::CloudSchedulerClient(
connection,
google::cloud::Options{}
.set<google::cloud::scheduler_v1::CloudSchedulerRetryPolicyOption>(
google::cloud::scheduler_v1::CloudSchedulerLimitedTimeRetryPolicy(
std::chrono::minutes(5))
.clone()));
// You can also override the policies in a single call:
// c3.SomeRpc(..., google::cloud::Options{}
// .set<google::cloud::scheduler_v1::CloudSchedulerRetryPolicyOption>(
// google::cloud::scheduler_v1::CloudSchedulerLimitedErrorCountRetryPolicy(10).clone()));
This assumes you have created a custom idempotency policy. Such as:
class CustomIdempotencyPolicy : public google::cloud::scheduler_v1::
CloudSchedulerConnectionIdempotencyPolicy {
public:
~CustomIdempotencyPolicy() override = default;
std::unique_ptr<
google::cloud::scheduler_v1::CloudSchedulerConnectionIdempotencyPolicy>
clone() const override {
return std::make_unique<CustomIdempotencyPolicy>(*this);
}
// Override inherited functions to define as needed.
};
google::cloud::ExponentialBackoffPolicy
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."],[[["The library automatically retries requests that fail due to transient errors, using exponential backoff to determine the wait time before retrying."],["Retry behavior is configurable through policies that define which errors are transient, how long to retry, and the backoff algorithm, with the ability to override default policies at the connection, client, or even per-call level."],["There are three options that control the retry loop: `*RetryPolicyOption` (defines transient errors and retry duration), `*BackoffPolicyOption` (controls backoff algorithm), and `*IdempotencyPolicyOption` (determines which operations are retryable)."],["The library provides built-in policies like `*LimitedErrorCountRetryPolicy`, `*LimitedTimeRetryPolicy`, and `ExponentialBackoffPolicy` for common use cases, while also allowing for custom policy implementations."],["The latest release candidate version is 2.37.0-rc, and the document covers versions down to 2.11.0 for the scheduler."]]],[]]
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