<reponame>pulumi-bot/pulumi-azure-native<filename>sdk/python/pulumi_azure_native/synapse/v20190601preview/big_data_pool.py
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***

import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
from ._enums import *
from ._inputs import *

__all__ = ['BigDataPool']


class BigDataPool(pulumi.CustomResource):
    def __init__(__self__,
                 resource_name: str,
                 opts: Optional[pulumi.ResourceOptions] = None,
                 auto_pause: Optional[pulumi.Input[pulumi.InputType['AutoPausePropertiesArgs']]] = None,
                 auto_scale: Optional[pulumi.Input[pulumi.InputType['AutoScalePropertiesArgs']]] = None,
                 big_data_pool_name: Optional[pulumi.Input[str]] = None,
                 cache_size: Optional[pulumi.Input[int]] = None,
                 creation_date: Optional[pulumi.Input[str]] = None,
                 custom_libraries: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LibraryInfoArgs']]]]] = None,
                 default_spark_log_folder: Optional[pulumi.Input[str]] = None,
                 dynamic_executor_allocation: Optional[pulumi.Input[pulumi.InputType['DynamicExecutorAllocationArgs']]] = None,
                 force: Optional[pulumi.Input[bool]] = None,
                 is_compute_isolation_enabled: Optional[pulumi.Input[bool]] = None,
                 library_requirements: Optional[pulumi.Input[pulumi.InputType['LibraryRequirementsArgs']]] = None,
                 location: Optional[pulumi.Input[str]] = None,
                 node_count: Optional[pulumi.Input[int]] = None,
                 node_size: Optional[pulumi.Input[Union[str, 'NodeSize']]] = None,
                 node_size_family: Optional[pulumi.Input[Union[str, 'NodeSizeFamily']]] = None,
                 provisioning_state: Optional[pulumi.Input[str]] = None,
                 resource_group_name: Optional[pulumi.Input[str]] = None,
                 session_level_packages_enabled: Optional[pulumi.Input[bool]] = None,
                 spark_config_properties: Optional[pulumi.Input[pulumi.InputType['LibraryRequirementsArgs']]] = None,
                 spark_events_folder: Optional[pulumi.Input[str]] = None,
                 spark_version: Optional[pulumi.Input[str]] = None,
                 tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
                 workspace_name: Optional[pulumi.Input[str]] = None,
                 __props__=None,
                 __name__=None,
                 __opts__=None):
        """
        A Big Data pool

        :param str resource_name: The name of the resource.
        :param pulumi.ResourceOptions opts: Options for the resource.
        :param pulumi.Input[pulumi.InputType['AutoPausePropertiesArgs']] auto_pause: Auto-pausing properties
        :param pulumi.Input[pulumi.InputType['AutoScalePropertiesArgs']] auto_scale: Auto-scaling properties
        :param pulumi.Input[str] big_data_pool_name: Big Data pool name
        :param pulumi.Input[int] cache_size: The cache size
        :param pulumi.Input[str] creation_date: The time when the Big Data pool was created.
        :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LibraryInfoArgs']]]] custom_libraries: List of custom libraries/packages associated with the spark pool.
        :param pulumi.Input[str] default_spark_log_folder: The default folder where Spark logs will be written.
        :param pulumi.Input[pulumi.InputType['DynamicExecutorAllocationArgs']] dynamic_executor_allocation: Dynamic Executor Allocation
        :param pulumi.Input[bool] force: Whether to stop any running jobs in the Big Data pool
        :param pulumi.Input[bool] is_compute_isolation_enabled: Whether compute isolation is required or not.
        :param pulumi.Input[pulumi.InputType['LibraryRequirementsArgs']] library_requirements: Library version requirements
        :param pulumi.Input[str] location: The geo-location where the resource lives
        :param pulumi.Input[int] node_count: The number of nodes in the Big Data pool.
        :param pulumi.Input[Union[str, 'NodeSize']] node_size: The level of compute power that each node in the Big Data pool has.
        :param pulumi.Input[Union[str, 'NodeSizeFamily']] node_size_family: The kind of nodes that the Big Data pool provides.
        :param pulumi.Input[str] provisioning_state: The state of the Big Data pool.
        :param pulumi.Input[str] resource_group_name: The name of the resource group. The name is case insensitive.
        :param pulumi.Input[bool] session_level_packages_enabled: Whether session level packages enabled.
        :param pulumi.Input[pulumi.InputType['LibraryRequirementsArgs']] spark_config_properties: Spark configuration file to specify additional properties
        :param pulumi.Input[str] spark_events_folder: The Spark events folder
        :param pulumi.Input[str] spark_version: The Apache Spark version.
        :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Resource tags.
        :param pulumi.Input[str] workspace_name: The name of the workspace
        """
        if __name__ is not None:
            warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning)
            resource_name = __name__
        if __opts__ is not None:
            warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning)
            opts = __opts__
        if opts is None:
            opts = pulumi.ResourceOptions()
        if not isinstance(opts, pulumi.ResourceOptions):
            raise TypeError('Expected resource options to be a ResourceOptions instance')
        if opts.version is None:
            opts.version = _utilities.get_version()
        if opts.id is None:
            if __props__ is not None:
                raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
            __props__ = dict()

            __props__['auto_pause'] = auto_pause
            __props__['auto_scale'] = auto_scale
            __props__['big_data_pool_name'] = big_data_pool_name
            __props__['cache_size'] = cache_size
            __props__['creation_date'] = creation_date
            __props__['custom_libraries'] = custom_libraries
            __props__['default_spark_log_folder'] = default_spark_log_folder
            __props__['dynamic_executor_allocation'] = dynamic_executor_allocation
            __props__['force'] = force
            __props__['is_compute_isolation_enabled'] = is_compute_isolation_enabled
            __props__['library_requirements'] = library_requirements
            __props__['location'] = location
            __props__['node_count'] = node_count
            __props__['node_size'] = node_size
            __props__['node_size_family'] = node_size_family
            __props__['provisioning_state'] = provisioning_state
            if resource_group_name is None and not opts.urn:
                raise TypeError("Missing required property 'resource_group_name'")
            __props__['resource_group_name'] = resource_group_name
            __props__['session_level_packages_enabled'] = session_level_packages_enabled
            __props__['spark_config_properties'] = spark_config_properties
            __props__['spark_events_folder'] = spark_events_folder
            __props__['spark_version'] = spark_version
            __props__['tags'] = tags
            if workspace_name is None and not opts.urn:
                raise TypeError("Missing required property 'workspace_name'")
            __props__['workspace_name'] = workspace_name
            __props__['last_succeeded_timestamp'] = None
            __props__['name'] = None
            __props__['type'] = None
        alias_opts = pulumi.ResourceOptions(aliases=[pulumi.Alias(type_="azure-nextgen:synapse/v20190601preview:BigDataPool"), pulumi.Alias(type_="azure-native:synapse:BigDataPool"), pulumi.Alias(type_="azure-nextgen:synapse:BigDataPool"), pulumi.Alias(type_="azure-native:synapse/latest:BigDataPool"), pulumi.Alias(type_="azure-nextgen:synapse/latest:BigDataPool"), pulumi.Alias(type_="azure-native:synapse/v20201201:BigDataPool"), pulumi.Alias(type_="azure-nextgen:synapse/v20201201:BigDataPool"), pulumi.Alias(type_="azure-native:synapse/v20210301:BigDataPool"), pulumi.Alias(type_="azure-nextgen:synapse/v20210301:BigDataPool")])
        opts = pulumi.ResourceOptions.merge(opts, alias_opts)
        super(BigDataPool, __self__).__init__(
            'azure-native:synapse/v20190601preview:BigDataPool',
            resource_name,
            __props__,
            opts)

    @staticmethod
    def get(resource_name: str,
            id: pulumi.Input[str],
            opts: Optional[pulumi.ResourceOptions] = None) -> 'BigDataPool':
        """
        Get an existing BigDataPool resource's state with the given name, id, and optional extra
        properties used to qualify the lookup.

        :param str resource_name: The unique name of the resulting resource.
        :param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
        :param pulumi.ResourceOptions opts: Options for the resource.
        """
        opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))

        __props__ = dict()

        __props__["auto_pause"] = None
        __props__["auto_scale"] = None
        __props__["cache_size"] = None
        __props__["creation_date"] = None
        __props__["custom_libraries"] = None
        __props__["default_spark_log_folder"] = None
        __props__["dynamic_executor_allocation"] = None
        __props__["is_compute_isolation_enabled"] = None
        __props__["last_succeeded_timestamp"] = None
        __props__["library_requirements"] = None
        __props__["location"] = None
        __props__["name"] = None
        __props__["node_count"] = None
        __props__["node_size"] = None
        __props__["node_size_family"] = None
        __props__["provisioning_state"] = None
        __props__["session_level_packages_enabled"] = None
        __props__["spark_config_properties"] = None
        __props__["spark_events_folder"] = None
        __props__["spark_version"] = None
        __props__["tags"] = None
        __props__["type"] = None
        return BigDataPool(resource_name, opts=opts, __props__=__props__)

    @property
    @pulumi.getter(name="autoPause")
    def auto_pause(self) -> pulumi.Output[Optional['outputs.AutoPausePropertiesResponse']]:
        """
        Auto-pausing properties
        """
        return pulumi.get(self, "auto_pause")

    @property
    @pulumi.getter(name="autoScale")
    def auto_scale(self) -> pulumi.Output[Optional['outputs.AutoScalePropertiesResponse']]:
        """
        Auto-scaling properties
        """
        return pulumi.get(self, "auto_scale")

    @property
    @pulumi.getter(name="cacheSize")
    def cache_size(self) -> pulumi.Output[Optional[int]]:
        """
        The cache size
        """
        return pulumi.get(self, "cache_size")

    @property
    @pulumi.getter(name="creationDate")
    def creation_date(self) -> pulumi.Output[Optional[str]]:
        """
        The time when the Big Data pool was created.
        """
        return pulumi.get(self, "creation_date")

    @property
    @pulumi.getter(name="customLibraries")
    def custom_libraries(self) -> pulumi.Output[Optional[Sequence['outputs.LibraryInfoResponse']]]:
        """
        List of custom libraries/packages associated with the spark pool.
        """
        return pulumi.get(self, "custom_libraries")

    @property
    @pulumi.getter(name="defaultSparkLogFolder")
    def default_spark_log_folder(self) -> pulumi.Output[Optional[str]]:
        """
        The default folder where Spark logs will be written.
        """
        return pulumi.get(self, "default_spark_log_folder")

    @property
    @pulumi.getter(name="dynamicExecutorAllocation")
    def dynamic_executor_allocation(self) -> pulumi.Output[Optional['outputs.DynamicExecutorAllocationResponse']]:
        """
        Dynamic Executor Allocation
        """
        return pulumi.get(self, "dynamic_executor_allocation")

    @property
    @pulumi.getter(name="isComputeIsolationEnabled")
    def is_compute_isolation_enabled(self) -> pulumi.Output[Optional[bool]]:
        """
        Whether compute isolation is required or not.
        """
        return pulumi.get(self, "is_compute_isolation_enabled")

    @property
    @pulumi.getter(name="lastSucceededTimestamp")
    def last_succeeded_timestamp(self) -> pulumi.Output[str]:
        """
        The time when the Big Data pool was updated successfully.
        """
        return pulumi.get(self, "last_succeeded_timestamp")

    @property
    @pulumi.getter(name="libraryRequirements")
    def library_requirements(self) -> pulumi.Output[Optional['outputs.LibraryRequirementsResponse']]:
        """
        Library version requirements
        """
        return pulumi.get(self, "library_requirements")

    @property
    @pulumi.getter
    def location(self) -> pulumi.Output[str]:
        """
        The geo-location where the resource lives
        """
        return pulumi.get(self, "location")

    @property
    @pulumi.getter
    def name(self) -> pulumi.Output[str]:
        """
        The name of the resource
        """
        return pulumi.get(self, "name")

    @property
    @pulumi.getter(name="nodeCount")
    def node_count(self) -> pulumi.Output[Optional[int]]:
        """
        The number of nodes in the Big Data pool.
        """
        return pulumi.get(self, "node_count")

    @property
    @pulumi.getter(name="nodeSize")
    def node_size(self) -> pulumi.Output[Optional[str]]:
        """
        The level of compute power that each node in the Big Data pool has.
        """
        return pulumi.get(self, "node_size")

    @property
    @pulumi.getter(name="nodeSizeFamily")
    def node_size_family(self) -> pulumi.Output[Optional[str]]:
        """
        The kind of nodes that the Big Data pool provides.
        """
        return pulumi.get(self, "node_size_family")

    @property
    @pulumi.getter(name="provisioningState")
    def provisioning_state(self) -> pulumi.Output[Optional[str]]:
        """
        The state of the Big Data pool.
        """
        return pulumi.get(self, "provisioning_state")

    @property
    @pulumi.getter(name="sessionLevelPackagesEnabled")
    def session_level_packages_enabled(self) -> pulumi.Output[Optional[bool]]:
        """
        Whether session level packages enabled.
        """
        return pulumi.get(self, "session_level_packages_enabled")

    @property
    @pulumi.getter(name="sparkConfigProperties")
    def spark_config_properties(self) -> pulumi.Output[Optional['outputs.LibraryRequirementsResponse']]:
        """
        Spark configuration file to specify additional properties
        """
        return pulumi.get(self, "spark_config_properties")

    @property
    @pulumi.getter(name="sparkEventsFolder")
    def spark_events_folder(self) -> pulumi.Output[Optional[str]]:
        """
        The Spark events folder
        """
        return pulumi.get(self, "spark_events_folder")

    @property
    @pulumi.getter(name="sparkVersion")
    def spark_version(self) -> pulumi.Output[Optional[str]]:
        """
        The Apache Spark version.
        """
        return pulumi.get(self, "spark_version")

    @property
    @pulumi.getter
    def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
        """
        Resource tags.
        """
        return pulumi.get(self, "tags")

    @property
    @pulumi.getter
    def type(self) -> pulumi.Output[str]:
        """
        The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
        """
        return pulumi.get(self, "type")

    def translate_output_property(self, prop):
        return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop

    def translate_input_property(self, prop):
        return _tables.SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop


# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***

import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
from ._enums import *
from ._inputs import *

__all__ = ['BigDataPool']


class BigDataPool(pulumi.CustomResource):
    def __init__(__self__,
                 resource_name: str,
                 opts: Optional[pulumi.ResourceOptions] = None,
                 auto_pause: Optional[pulumi.Input[pulumi.InputType['AutoPausePropertiesArgs']]] = None,
                 auto_scale: Optional[pulumi.Input[pulumi.InputType['AutoScalePropertiesArgs']]] = None,
                 big_data_pool_name: Optional[pulumi.Input[str]] = None,
                 cache_size: Optional[pulumi.Input[int]] = None,
                 creation_date: Optional[pulumi.Input[str]] = None,
                 custom_libraries: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LibraryInfoArgs']]]]] = None,
                 default_spark_log_folder: Optional[pulumi.Input[str]] = None,
                 dynamic_executor_allocation: Optional[pulumi.Input[pulumi.InputType['DynamicExecutorAllocationArgs']]] = None,
                 force: Optional[pulumi.Input[bool]] = None,
                 is_compute_isolation_enabled: Optional[pulumi.Input[bool]] = None,
                 library_requirements: Optional[pulumi.Input[pulumi.InputType['LibraryRequirementsArgs']]] = None,
                 location: Optional[pulumi.Input[str]] = None,
                 node_count: Optional[pulumi.Input[int]] = None,
                 node_size: Optional[pulumi.Input[Union[str, 'NodeSize']]] = None,
                 node_size_family: Optional[pulumi.Input[Union[str, 'NodeSizeFamily']]] = None,
                 provisioning_state: Optional[pulumi.Input[str]] = None,
                 resource_group_name: Optional[pulumi.Input[str]] = None,
                 session_level_packages_enabled: Optional[pulumi.Input[bool]] = None,
                 spark_config_properties: Optional[pulumi.Input[pulumi.InputType['LibraryRequirementsArgs']]] = None,
                 spark_events_folder: Optional[pulumi.Input[str]] = None,
                 spark_version: Optional[pulumi.Input[str]] = None,
                 tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
                 workspace_name: Optional[pulumi.Input[str]] = None,
                 __props__=None,
                 __name__=None,
                 __opts__=None):
        """
        A Big Data pool

        :param str resource_name: The name of the resource.
        :param pulumi.ResourceOptions opts: Options for the resource.
        :param pulumi.Input[pulumi.InputType['AutoPausePropertiesArgs']] auto_pause: Auto-pausing properties
        :param pulumi.Input[pulumi.InputType['AutoScalePropertiesArgs']] auto_scale: Auto-scaling properties
        :param pulumi.Input[str] big_data_pool_name: Big Data pool name
        :param pulumi.Input[int] cache_size: The cache size
        :param pulumi.Input[str] creation_date: The time when the Big Data pool was created.
        :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LibraryInfoArgs']]]] custom_libraries: List of custom libraries/packages associated with the spark pool.
        :param pulumi.Input[str] default_spark_log_folder: The default folder where Spark logs will be written.
        :param pulumi.Input[pulumi.InputType['DynamicExecutorAllocationArgs']] dynamic_executor_allocation: Dynamic Executor Allocation
        :param pulumi.Input[bool] force: Whether to stop any running jobs in the Big Data pool
        :param pulumi.Input[bool] is_compute_isolation_enabled: Whether compute isolation is required or not.
        :param pulumi.Input[pulumi.InputType['LibraryRequirementsArgs']] library_requirements: Library version requirements
        :param pulumi.Input[str] location: The geo-location where the resource lives
        :param pulumi.Input[int] node_count: The number of nodes in the Big Data pool.
        :param pulumi.Input[Union[str, 'NodeSize']] node_size: The level of compute power that each node in the Big Data pool has.
        :param pulumi.Input[Union[str, 'NodeSizeFamily']] node_size_family: The kind of nodes that the Big Data pool provides.
        :param pulumi.Input[str] provisioning_state: The state of the Big Data pool.
        :param pulumi.Input[str] resource_group_name: The name of the resource group. The name is case insensitive.
        :param pulumi.Input[bool] session_level_packages_enabled: Whether session level packages enabled.
        :param pulumi.Input[pulumi.InputType['LibraryRequirementsArgs']] spark_config_properties: Spark configuration file to specify additional properties
        :param pulumi.Input[str] spark_events_folder: The Spark events folder
        :param pulumi.Input[str] spark_version: The Apache Spark version.
        :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Resource tags.
        :param pulumi.Input[str] workspace_name: The name of the workspace
        """
        if __name__ is not None:
            warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning)
            resource_name = __name__
        if __opts__ is not None:
            warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning)
            opts = __opts__
        if opts is None:
            opts = pulumi.ResourceOptions()
        if not isinstance(opts, pulumi.ResourceOptions):
            raise TypeError('Expected resource options to be a ResourceOptions instance')
        if opts.version is None:
            opts.version = _utilities.get_version()
        if opts.id is None:
            if __props__ is not None:
                raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
            __props__ = dict()

            __props__['auto_pause'] = auto_pause
            __props__['auto_scale'] = auto_scale
            __props__['big_data_pool_name'] = big_data_pool_name
            __props__['cache_size'] = cache_size
            __props__['creation_date'] = creation_date
            __props__['custom_libraries'] = custom_libraries
            __props__['default_spark_log_folder'] = default_spark_log_folder
            __props__['dynamic_executor_allocation'] = dynamic_executor_allocation
            __props__['force'] = force
            __props__['is_compute_isolation_enabled'] = is_compute_isolation_enabled
            __props__['library_requirements'] = library_requirements
            __props__['location'] = location
            __props__['node_count'] = node_count
            __props__['node_size'] = node_size
            __props__['node_size_family'] = node_size_family
            __props__['provisioning_state'] = provisioning_state
            if resource_group_name is None and not opts.urn:
                raise TypeError("Missing required property 'resource_group_name'")
            __props__['resource_group_name'] = resource_group_name
            __props__['session_level_packages_enabled'] = session_level_packages_enabled
            __props__['spark_config_properties'] = spark_config_properties
            __props__['spark_events_folder'] = spark_events_folder
            __props__['spark_version'] = spark_version
            __props__['tags'] = tags
            if workspace_name is None and not opts.urn:
                raise TypeError("Missing required property 'workspace_name'")
            __props__['workspace_name'] = workspace_name
            __props__['last_succeeded_timestamp'] = None
            __props__['name'] = None
            __props__['type'] = None
        alias_opts = pulumi.ResourceOptions(aliases=[pulumi.Alias(type_="azure-nextgen:synapse/v20190601preview:BigDataPool"), pulumi.Alias(type_="azure-native:synapse:BigDataPool"), pulumi.Alias(type_="azure-nextgen:synapse:BigDataPool"), pulumi.Alias(type_="azure-native:synapse/latest:BigDataPool"), pulumi.Alias(type_="azure-nextgen:synapse/latest:BigDataPool"), pulumi.Alias(type_="azure-native:synapse/v20201201:BigDataPool"), pulumi.Alias(type_="azure-nextgen:synapse/v20201201:BigDataPool"), pulumi.Alias(type_="azure-native:synapse/v20210301:BigDataPool"), pulumi.Alias(type_="azure-nextgen:synapse/v20210301:BigDataPool")])
        opts = pulumi.ResourceOptions.merge(opts, alias_opts)
        super(BigDataPool, __self__).__init__(
            'azure-native:synapse/v20190601preview:BigDataPool',
            resource_name,
            __props__,
            opts)

    @staticmethod
    def get(resource_name: str,
            id: pulumi.Input[str],
            opts: Optional[pulumi.ResourceOptions] = None) -> 'BigDataPool':
        """
        Get an existing BigDataPool resource's state with the given name, id, and optional extra
        properties used to qualify the lookup.

        :param str resource_name: The unique name of the resulting resource.
        :param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
        :param pulumi.ResourceOptions opts: Options for the resource.
        """
        opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))

        __props__ = dict()

        __props__["auto_pause"] = None
        __props__["auto_scale"] = None
        __props__["cache_size"] = None
        __props__["creation_date"] = None
        __props__["custom_libraries"] = None
        __props__["default_spark_log_folder"] = None
        __props__["dynamic_executor_allocation"] = None
        __props__["is_compute_isolation_enabled"] = None
        __props__["last_succeeded_timestamp"] = None
        __props__["library_requirements"] = None
        __props__["location"] = None
        __props__["name"] = None
        __props__["node_count"] = None
        __props__["node_size"] = None
        __props__["node_size_family"] = None
        __props__["provisioning_state"] = None
        __props__["session_level_packages_enabled"] = None
        __props__["spark_config_properties"] = None
        __props__["spark_events_folder"] = None
        __props__["spark_version"] = None
        __props__["tags"] = None
        __props__["type"] = None
        return BigDataPool(resource_name, opts=opts, __props__=__props__)

    @property
    @pulumi.getter(name="autoPause")
    def auto_pause(self) -> pulumi.Output[Optional['outputs.AutoPausePropertiesResponse']]:
        """
        Auto-pausing properties
        """
        return pulumi.get(self, "auto_pause")

    @property
    @pulumi.getter(name="autoScale")
    def auto_scale(self) -> pulumi.Output[Optional['outputs.AutoScalePropertiesResponse']]:
        """
        Auto-scaling properties
        """
        return pulumi.get(self, "auto_scale")

    @property
    @pulumi.getter(name="cacheSize")
    def cache_size(self) -> pulumi.Output[Optional[int]]:
        """
        The cache size
        """
        return pulumi.get(self, "cache_size")

    @property
    @pulumi.getter(name="creationDate")
    def creation_date(self) -> pulumi.Output[Optional[str]]:
        """
        The time when the Big Data pool was created.
        """
        return pulumi.get(self, "creation_date")

    @property
    @pulumi.getter(name="customLibraries")
    def custom_libraries(self) -> pulumi.Output[Optional[Sequence['outputs.LibraryInfoResponse']]]:
        """
        List of custom libraries/packages associated with the spark pool.
        """
        return pulumi.get(self, "custom_libraries")

    @property
    @pulumi.getter(name="defaultSparkLogFolder")
    def default_spark_log_folder(self) -> pulumi.Output[Optional[str]]:
        """
        The default folder where Spark logs will be written.
        """
        return pulumi.get(self, "default_spark_log_folder")

    @property
    @pulumi.getter(name="dynamicExecutorAllocation")
    def dynamic_executor_allocation(self) -> pulumi.Output[Optional['outputs.DynamicExecutorAllocationResponse']]:
        """
        Dynamic Executor Allocation
        """
        return pulumi.get(self, "dynamic_executor_allocation")

    @property
    @pulumi.getter(name="isComputeIsolationEnabled")
    def is_compute_isolation_enabled(self) -> pulumi.Output[Optional[bool]]:
        """
        Whether compute isolation is required or not.
        """
        return pulumi.get(self, "is_compute_isolation_enabled")

    @property
    @pulumi.getter(name="lastSucceededTimestamp")
    def last_succeeded_timestamp(self) -> pulumi.Output[str]:
        """
        The time when the Big Data pool was updated successfully.
        """
        return pulumi.get(self, "last_succeeded_timestamp")

    @property
    @pulumi.getter(name="libraryRequirements")
    def library_requirements(self) -> pulumi.Output[Optional['outputs.LibraryRequirementsResponse']]:
        """
        Library version requirements
        """
        return pulumi.get(self, "library_requirements")

    @property
    @pulumi.getter
    def location(self) -> pulumi.Output[str]:
        """
        The geo-location where the resource lives
        """
        return pulumi.get(self, "location")

    @property
    @pulumi.getter
    def name(self) -> pulumi.Output[str]:
        """
        The name of the resource
        """
        return pulumi.get(self, "name")

    @property
    @pulumi.getter(name="nodeCount")
    def node_count(self) -> pulumi.Output[Optional[int]]:
        """
        The number of nodes in the Big Data pool.
        """
        return pulumi.get(self, "node_count")

    @property
    @pulumi.getter(name="nodeSize")
    def node_size(self) -> pulumi.Output[Optional[str]]:
        """
        The level of compute power that each node in the Big Data pool has.
        """
        return pulumi.get(self, "node_size")

    @property
    @pulumi.getter(name="nodeSizeFamily")
    def node_size_family(self) -> pulumi.Output[Optional[str]]:
        """
        The kind of nodes that the Big Data pool provides.
        """
        return pulumi.get(self, "node_size_family")

    @property
    @pulumi.getter(name="provisioningState")
    def provisioning_state(self) -> pulumi.Output[Optional[str]]:
        """
        The state of the Big Data pool.
        """
        return pulumi.get(self, "provisioning_state")

    @property
    @pulumi.getter(name="sessionLevelPackagesEnabled")
    def session_level_packages_enabled(self) -> pulumi.Output[Optional[bool]]:
        """
        Whether session level packages enabled.
        """
        return pulumi.get(self, "session_level_packages_enabled")

    @property
    @pulumi.getter(name="sparkConfigProperties")
    def spark_config_properties(self) -> pulumi.Output[Optional['outputs.LibraryRequirementsResponse']]:
        """
        Spark configuration file to specify additional properties
        """
        return pulumi.get(self, "spark_config_properties")

    @property
    @pulumi.getter(name="sparkEventsFolder")
    def spark_events_folder(self) -> pulumi.Output[Optional[str]]:
        """
        The Spark events folder
        """
        return pulumi.get(self, "spark_events_folder")

    @property
    @pulumi.getter(name="sparkVersion")
    def spark_version(self) -> pulumi.Output[Optional[str]]:
        """
        The Apache Spark version.
        """
        return pulumi.get(self, "spark_version")

    @property
    @pulumi.getter
    def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
        """
        Resource tags.
        """
        return pulumi.get(self, "tags")

    @property
    @pulumi.getter
    def type(self) -> pulumi.Output[str]:
        """
        The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
        """
        return pulumi.get(self, "type")

    def translate_output_property(self, prop):
        return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop

    def translate_input_property(self, prop):
        return _tables.SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** A Big Data pool          :param str resource_name: The name of the resource.         :param pulumi.ResourceOptions opts: Options for the resource.         :param pulumi.Input[pulumi.InputType['AutoPausePropertiesArgs']] auto_pause: Auto-pausing properties         :param pulumi.Input[pulumi.InputType['AutoScalePropertiesArgs']] auto_scale: Auto-scaling properties         :param pulumi.Input[str] big_data_pool_name: Big Data pool name         :param pulumi.Input[int] cache_size: The cache size         :param pulumi.Input[str] creation_date: The time when the Big Data pool was created.         :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LibraryInfoArgs']]]] custom_libraries: List of custom libraries/packages associated with the spark pool.         :param pulumi.Input[str] default_spark_log_folder: The default folder where Spark logs will be written.         :param pulumi.Input[pulumi.InputType['DynamicExecutorAllocationArgs']] dynamic_executor_allocation: Dynamic Executor Allocation         :param pulumi.Input[bool] force: Whether to stop any running jobs in the Big Data pool         :param pulumi.Input[bool] is_compute_isolation_enabled: Whether compute isolation is required or not.         :param pulumi.Input[pulumi.InputType['LibraryRequirementsArgs']] library_requirements: Library version requirements         :param pulumi.Input[str] location: The geo-location where the resource lives         :param pulumi.Input[int] node_count: The number of nodes in the Big Data pool.         :param pulumi.Input[Union[str, 'NodeSize']] node_size: The level of compute power that each node in the Big Data pool has.         :param pulumi.Input[Union[str, 'NodeSizeFamily']] node_size_family: The kind of nodes that the Big Data pool provides.         :param pulumi.Input[str] provisioning_state: The state of the Big Data pool.         :param pulumi.Input[str] resource_group_name: The name of the resource group. The name is case insensitive.         :param pulumi.Input[bool] session_level_packages_enabled: Whether session level packages enabled.         :param pulumi.Input[pulumi.InputType['LibraryRequirementsArgs']] spark_config_properties: Spark configuration file to specify additional properties         :param pulumi.Input[str] spark_events_folder: The Spark events folder         :param pulumi.Input[str] spark_version: The Apache Spark version.         :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Resource tags.         :param pulumi.Input[str] workspace_name: The name of the workspace Get an existing BigDataPool resource's state with the given name, id, and optional extra         properties used to qualify the lookup.          :param str resource_name: The unique name of the resulting resource.         :param pulumi.Input[str] id: The unique provider ID of the resource to lookup.         :param pulumi.ResourceOptions opts: Options for the resource. Auto-pausing properties Auto-scaling properties The cache size The time when the Big Data pool was created. List of custom libraries/packages associated with the spark pool. The default folder where Spark logs will be written. Dynamic Executor Allocation Whether compute isolation is required or not. The time when the Big Data pool was updated successfully. Library version requirements The geo-location where the resource lives The name of the resource The number of nodes in the Big Data pool. The level of compute power that each node in the Big Data pool has. The kind of nodes that the Big Data pool provides. The state of the Big Data pool. Whether session level packages enabled. Spark configuration file to specify additional properties The Spark events folder The Apache Spark version. Resource tags. The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"