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retry

Package retry provides retry strategy configuration for durable programs.

retry

Functions

constant(t: Duration)

Example:

retry.constant(time.SECOND)

Parameters:

NameTypeRequiredDescription
tDuration

Returns: Strategy


exponential(t: Duration)

Example:

retry.exponential(time.SECOND)

Parameters:

NameTypeRequiredDescription
tDuration

Returns: Strategy


fibonacci(t: Duration)

Example:

retry.fibonacci(time.SECOND)

Parameters:

NameTypeRequiredDescription
tDuration

Returns: Strategy


with_jitter(jitter: Duration, strategy: Strategy)

Example:

retry.with_jitter(time.SECOND, retry.constant(time.SECOND * 5))

Parameters:

NameTypeRequiredDescription
jitterDuration
strategyStrategy

Returns: Strategy


with_jitter_percent(jitter: Int, strategy: Strategy)

Example:

retry.with_jitter_percent(10, retry.constant(time.SECOND * 5))

Parameters:

NameTypeRequiredDescription
jitterInt
strategyStrategy

Returns: Strategy


with_max_retries(max: Int, strategy: Strategy)

Example:

retry.with_max_retries(3, retry.constant(time.SECOND))

Parameters:

NameTypeRequiredDescription
maxInt
strategyStrategy

Returns: Strategy


with_capped_duration(cap: Duration, strategy: Strategy)

Example:

retry.with_capped_duration(time.MINUTE, retry.exponential(time.SECOND))

Parameters:

NameTypeRequiredDescription
capDuration
strategyStrategy

Returns: Strategy


with_max_duration(timeout: Duration, strategy: Strategy)

Example:

retry.with_max_duration(time.MINUTE * 5, retry.exponential(time.SECOND))

Parameters:

NameTypeRequiredDescription
timeoutDuration
strategyStrategy

Returns: Strategy


Types

Strategy