Google Cloud Managed Kafka V1 Client - Class TaskRetryPolicy (0.4.0)
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Reference documentation and code samples for the Google Cloud Managed Kafka V1 Client class TaskRetryPolicy.

Task Retry Policy is implemented on a best-effort basis.

Retry delay will be exponential based on provided minimum and maximum backoffs. https://en.wikipedia.org/wiki/Exponential_backoff. Note that the delay between consecutive task restarts may not always precisely match the configured settings. This can happen when the ConnectCluster is in rebalancing state or if the ConnectCluster is unresponsive etc.

Generated from protobuf message google.cloud.managedkafka.v1.TaskRetryPolicy

Namespace

Google \ Cloud \ ManagedKafka \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ minimum_backoff`	`Google\Protobuf\Duration` Optional. The minimum amount of time to wait before retrying a failed task. This sets a lower bound for the backoff delay.
`↳ maximum_backoff`	`Google\Protobuf\Duration` Optional. The maximum amount of time to wait before retrying a failed task. This sets an upper bound for the backoff delay.

getMinimumBackoff

Optional. The minimum amount of time to wait before retrying a failed task.

This sets a lower bound for the backoff delay.

Returns
Type	Description
`Google\Protobuf\Duration\|null`

hasMinimumBackoff

clearMinimumBackoff

setMinimumBackoff

Optional. The minimum amount of time to wait before retrying a failed task.

This sets a lower bound for the backoff delay.

Parameter
Name	Description
`var`	`Google\Protobuf\Duration`

Returns
Type	Description
`$this`

getMaximumBackoff

Optional. The maximum amount of time to wait before retrying a failed task.

This sets an upper bound for the backoff delay.

Returns
Type	Description
`Google\Protobuf\Duration\|null`

hasMaximumBackoff

clearMaximumBackoff

setMaximumBackoff