Key | Default | Type | Description
--- | --- | --- | ---

##### execution.batch.adaptive.auto-parallelism.avg-data-volume-per-task

16 mb

MemorySize

The average size of data volume to expect each task instance to process if `jobmanager.scheduler` has been set to `AdaptiveBatch`. Note that when data skew occurs or the decided parallelism reaches the `execution.batch.adaptive.auto-parallelism.max-parallelism` (due to too much data), the data actually processed by some tasks may far exceed this value.

##### execution.batch.adaptive.auto-parallelism.default-source-parallelism

(none)

Integer

The default parallelism of source vertices or the upper bound of source parallelism to set adaptively if `jobmanager.scheduler` has been set to `AdaptiveBatch`. Note that `execution.batch.adaptive.auto-parallelism.max-parallelism` will be used if this configuration is not configured. If `execution.batch.adaptive.auto-parallelism.max-parallelism` is not set either, then the default parallelism set via `parallelism.default` will be used instead.

##### execution.batch.adaptive.auto-parallelism.enabled

true

Boolean

If true, Flink will automatically decide the parallelism of operators in batch jobs.

##### execution.batch.adaptive.auto-parallelism.max-parallelism

128

Integer

The upper bound of allowed parallelism to set adaptively if `jobmanager.scheduler` has been set to `AdaptiveBatch`

##### execution.batch.adaptive.auto-parallelism.min-parallelism

1

Integer

The lower bound of allowed parallelism to set adaptively if `jobmanager.scheduler` has been set to `AdaptiveBatch`

##### execution.batch.job-recovery.enabled

false

Boolean

A flag to enable or disable the job recovery. If enabled, batch jobs can resume with previously generated intermediate results after job master restarts due to failures, thereby preserving the progress.

##### execution.batch.job-recovery.previous-worker.recovery.timeout

30 s

Duration

The timeout for a new job master to wait for the previous worker to reconnect.A reconnected worker will transmit the details of its produced intermediate results to the new job master, enabling the job master to reuse these results.

##### execution.batch.job-recovery.snapshot.min-pause

3 min

Duration

The minimal pause between snapshots taken by operator coordinator or other components. It is used to avoid performance degradation due to excessive snapshot frequency.

##### execution.batch.speculative.block-slow-node-duration

1 min

Duration

Controls how long an detected slow node should be blocked for.

##### execution.batch.speculative.enabled

false

Boolean

Controls whether to enable speculative execution.

##### execution.batch.speculative.max-concurrent-executions

2

Integer

Controls the maximum number of execution attempts of each operator that can execute concurrently, including the original one and speculative ones.