Library reference docs
Namespaces
google::cloud::aiplatform_v1
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DatasetServiceClient
Functions
DatasetServiceConnectionIdempotencyPolicy
EndpointServiceClient
Functions
EndpointServiceConnectionIdempotencyPolicy
FeaturestoreOnlineServingServiceClient
FeaturestoreOnlineServingServiceConnection
FeaturestoreOnlineServingServiceConnectionIdempotencyPolicy
FeaturestoreServiceClient
Functions
FeaturestoreServiceConnectionIdempotencyPolicy
IndexEndpointServiceClient
Functions
IndexEndpointServiceConnectionIdempotencyPolicy
IndexServiceClient
Functions
IndexServiceConnectionIdempotencyPolicy
JobServiceClient
Functions
JobServiceConnectionIdempotencyPolicy
MatchServiceConnectionIdempotencyPolicy
MetadataServiceClient
Functions
MetadataServiceConnectionIdempotencyPolicy
MigrationServiceConnectionIdempotencyPolicy
ModelGardenServiceConnectionIdempotencyPolicy
ModelServiceClient
Functions
ModelServiceConnectionIdempotencyPolicy
PipelineServiceClient
Functions
PipelineServiceConnectionIdempotencyPolicy
PredictionServiceClient
Functions
PredictionServiceConnectionIdempotencyPolicy
SpecialistPoolServiceClient
Functions
SpecialistPoolServiceConnection
SpecialistPoolServiceConnectionIdempotencyPolicy
TensorboardServiceClient
Functions
TensorboardServiceConnectionIdempotencyPolicy
VizierServiceClient
Functions
VizierServiceConnectionIdempotencyPolicy
Functions
google::cloud::aiplatform_v1_mocks
Classes
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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 aiplatform_v1::DatasetServiceClient
:
auto options =
google::cloud::Options{}
.set<google::cloud::aiplatform_v1::
DatasetServiceConnectionIdempotencyPolicyOption>(
CustomIdempotencyPolicy().clone())
.set<google::cloud::aiplatform_v1::DatasetServiceRetryPolicyOption>(
google::cloud::aiplatform_v1::
DatasetServiceLimitedErrorCountRetryPolicy(3)
.clone())
.set<google::cloud::aiplatform_v1::DatasetServiceBackoffPolicyOption>(
google::cloud::ExponentialBackoffPolicy(
/*initial_delay=*/std::chrono::milliseconds(200),
/*maximum_delay=*/std::chrono::seconds(45),
/*scaling=*/2.0)
.clone());
auto connection = google::cloud::aiplatform_v1::MakeDatasetServiceConnection(
"location-unused-in-this-example", options);
// c1 and c2 share the same retry policies
auto c1 = google::cloud::aiplatform_v1::DatasetServiceClient(connection);
auto c2 = google::cloud::aiplatform_v1::DatasetServiceClient(connection);
// You can override any of the policies in a new client. This new client
// will share the policies from c1 (or c2) *except* from the retry policy.
auto c3 = google::cloud::aiplatform_v1::DatasetServiceClient(
connection,
google::cloud::Options{}
.set<google::cloud::aiplatform_v1::DatasetServiceRetryPolicyOption>(
google::cloud::aiplatform_v1::
DatasetServiceLimitedTimeRetryPolicy(std::chrono::minutes(5))
.clone()));
// You can also override the policies in a single call:
// c3.SomeRpc(..., google::cloud::Options{}
// .set<google::cloud::aiplatform_v1::DatasetServiceRetryPolicyOption>(
// google::cloud::aiplatform_v1::DatasetServiceLimitedErrorCountRetryPolicy(10).clone()));
This assumes you have created a custom idempotency policy. Such as:
class CustomIdempotencyPolicy : public google::cloud::aiplatform_v1::
DatasetServiceConnectionIdempotencyPolicy {
public:
~CustomIdempotencyPolicy() override = default;
std::unique_ptr<
google::cloud::aiplatform_v1::DatasetServiceConnectionIdempotencyPolicy>
clone() const override {
return std::make_unique<CustomIdempotencyPolicy>(*this);
}
// Override inherited functions to define as needed.
};
Follow these links to find examples for other *Client
classes:
aiplatform_v1::DatasetServiceClient
aiplatform_v1::EndpointServiceClient
aiplatform_v1::FeaturestoreServiceClient
aiplatform_v1::FeaturestoreOnlineServingServiceClient
aiplatform_v1::IndexServiceClient
aiplatform_v1::IndexEndpointServiceClient
aiplatform_v1::JobServiceClient
aiplatform_v1::MatchServiceClient
aiplatform_v1::MetadataServiceClient
aiplatform_v1::MigrationServiceClient
aiplatform_v1::ModelServiceClient
aiplatform_v1::ModelGardenServiceClient
aiplatform_v1::PipelineServiceClient
aiplatform_v1::PredictionServiceClient
aiplatform_v1::SpecialistPoolServiceClient
aiplatform_v1::TensorboardServiceClient
aiplatform_v1::VizierServiceClient
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."],[[["This document provides instructions on how to override the default retry, backoff, and idempotency policies in the client library for transient errors."],["The library automatically retries requests that fail due to transient errors, utilizing exponential backoff, which is configurable through policies."],["Retry behavior can be customized at the `*Connection`, `*Client`, or individual member function levels via options, including defining which errors are transient, the duration of retries, and the backoff algorithm."],["Built-in policies include `*LimitedErrorCountRetryPolicy`, `*LimitedTimeRetryPolicy`, and `ExponentialBackoffPolicy` for managing retries and backoff, with the library also providing default policies."],["The library contains links to examples for various client classes such as `DatasetServiceClient`, `EndpointServiceClient` and many more, demonstrating how to override retry policies."]]],[]]
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