Key | Default | Type | Description
--- | --- | --- | ---
##### cluster.evenly-spread-out-slots | false | Boolean | Enable the slot spread out allocation strategy. This strategy tries to spread out the slots evenly across all available `TaskExecutors`.
##### cluster.fine-grained-resource-management.enabled | false | Boolean | Defines whether the cluster uses fine-grained resource management.
##### 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 | 1 | Integer | The default parallelism of source vertices if `jobmanager.scheduler` has been set to `AdaptiveBatch`
##### 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.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.
##### fine-grained.shuffle-mode.all-blocking | false | Boolean | Whether to convert all PIPELINE edges to BLOCKING when apply fine-grained resource management in batch jobs.
##### jobmanager.adaptive-scheduler.min-parallelism-increase | 1 | Integer | Configure the minimum increase in parallelism for a job to scale up.
##### jobmanager.adaptive-scheduler.resource-stabilization-timeout | 10 s | Duration | The resource stabilization timeout defines the time the JobManager will wait if fewer than the desired but sufficient resources are available. The timeout starts once sufficient resources for running the job are available. Once this timeout has passed, the job will start executing with the available resources. If `scheduler-mode` is configured to `REACTIVE`, this configuration value will default to 0, so that jobs are starting immediately with the available resources.
##### jobmanager.adaptive-scheduler.resource-wait-timeout | 5 min | Duration | The maximum time the JobManager will wait to acquire all required resources after a job submission or restart. Once elapsed it will try to run the job with a lower parallelism, or fail if the minimum amount of resources could not be acquired. Increasing this value will make the cluster more resilient against temporary resources shortages (e.g., there is more time for a failed TaskManager to be restarted). Setting a negative duration will disable the resource timeout: The JobManager will wait indefinitely for resources to appear. If `scheduler-mode` is configured to `REACTIVE`, this configuration value will default to a negative value to disable the resource timeout.
##### jobmanager.partition.hybrid.partition-data-consume-constraint | (none) | Enum | Controls the constraint that hybrid partition data can be consumed. Note that this option is allowed only when `jobmanager.scheduler` has been set to `AdaptiveBatch`. Accepted values are: '`ALL_PRODUCERS_FINISHED`': hybrid partition data can be consumed only when all producers are finished. '`ONLY_FINISHED_PRODUCERS`': hybrid partition data can be consumed when its producer is finished. '`UNFINISHED_PRODUCERS`': hybrid partition data can be consumed even if its producer is un-finished. Possible values: "ALL_PRODUCERS_FINISHED" "ONLY_FINISHED_PRODUCERS" "UNFINISHED_PRODUCERS"
##### jobmanager.scheduler | Default | Enum | Determines which scheduler implementation is used to schedule tasks. Accepted values are: 'Default': Default scheduler 'Adaptive': Adaptive scheduler. More details can be found here. 'AdaptiveBatch': Adaptive batch scheduler. More details can be found here. Possible values: "Default" "Adaptive" "AdaptiveBatch"
##### scheduler-mode | (none) | Enum | Determines the mode of the scheduler. Note that `scheduler-mode`=`REACTIVE` is only supported by standalone application deployments, not by active resource managers (YARN, Kubernetes) or session clusters. Possible values: "REACTIVE"
##### slot.idle.timeout | 50000 | Long | The timeout in milliseconds for a idle slot in Slot Pool.
##### slot.request.timeout | 300000 | Long | The timeout in milliseconds for requesting a slot from Slot Pool.
##### slotmanager.max-total-resource.cpu | (none) | Double | Maximum cpu cores the Flink cluster allocates for slots. Resources for JobManager and TaskManager framework are excluded. If not configured, it will be derived from 'slotmanager.number-of-slots.max'.
##### slotmanager.max-total-resource.memory | (none) | MemorySize | Maximum memory size the Flink cluster allocates for slots. Resources for JobManager and TaskManager framework are excluded. If not configured, it will be derived from 'slotmanager.number-of-slots.max'.
##### slotmanager.number-of-slots.max | infinite | Integer | Defines the maximum number of slots that the Flink cluster allocates. This configuration option is meant for limiting the resource consumption for batch workloads. It is not recommended to configure this option for streaming workloads, which may fail if there are not enough slots. Note that this configuration option does not take effect for standalone clusters, where how many slots are allocated is not controlled by Flink.
##### slow-task-detector.check-interval | 1 s | Duration | The interval to check slow tasks.
##### slow-task-detector.execution-time.baseline-lower-bound | 1 min | Duration | The lower bound of slow task detection baseline.
##### slow-task-detector.execution-time.baseline-multiplier | 1.5 | Double | The multiplier to calculate the slow tasks detection baseline. Given that the parallelism is N and the ratio is R, define T as the median of the first N*R finished tasks' execution time. The baseline will be T*M, where M is the multiplier of the baseline. Note that the execution time will be weighted with the task's input bytes to ensure the accuracy of the detection if data skew occurs.
##### slow-task-detector.execution-time.baseline-ratio | 0.75 | Double | The finished execution ratio threshold to calculate the slow tasks detection baseline. Given that the parallelism is N and the ratio is R, define T as the median of the first N*R finished tasks' execution time. The baseline will be T*M, where M is the multiplier of the baseline. Note that the execution time will be weighted with the task's input bytes to ensure the accuracy of the detection if data skew occurs.