Definitions for @turbot/gcp-dataproc

{
  "description": "Specifies the type and number of accelerator cards attached to the instances of an instance. See GPUs on Compute Engine (https://cloud.google.com/compute/docs/gpus/).",
  "properties": {
    "acceleratorCount": {
      "description": "The number of the accelerator cards of this type exposed to this instance.",
      "format": "int32",
      "type": "integer"
    },
    "acceleratorTypeUri": {
      "description": "Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.",
      "type": "string"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/AcceleratorConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Autoscaling Policy config associated with the cluster.",
  "properties": {
    "policyUri": {
      "description": "Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.",
      "type": "string"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/AutoscalingConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Node group identification and configuration information.",
  "properties": {
    "nodeGroup": {
      "$ref": "#/definitions/NodeGroup",
      "description": "Required. Node group configuration."
    },
    "nodeGroupId": {
      "description": "Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.",
      "type": "string"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/AuxiliaryNodeGroup",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Auxiliary services configuration for a Cluster.",
  "properties": {
    "metastoreConfig": {
      "$ref": "#/definitions/MetastoreConfig",
      "description": "Optional. The Hive Metastore configuration for this workload."
    },
    "sparkHistoryServerConfig": {
      "$ref": "#/definitions/SparkHistoryServerConfig",
      "description": "Optional. The Spark History Server configuration for the workload."
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/AuxiliaryServicesConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Associates members, or principals, with a role.",
  "properties": {
    "condition": {
      "$ref": "#/definitions/Expr",
      "description": "The condition that is associated with this binding.If the condition evaluates to true, then this binding applies to the current request.If the condition evaluates to false, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding.To learn which resources support conditions in their IAM policies, see the IAM documentation (https://cloud.google.com/iam/help/conditions/resource-policies)."
    },
    "members": {
      "description": "Specifies the principals requesting access for a Google Cloud resource. members can have the following values: allUsers: A special identifier that represents anyone who is on the internet; with or without a Google account. allAuthenticatedUsers: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. user:{emailid}: An email address that represents a specific Google account. For example, alice@example.com . serviceAccount:{emailid}: An email address that represents a Google service account. For example, my-other-app@appspot.gserviceaccount.com. serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]: An identifier for a Kubernetes service account (https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, my-project.svc.id.goog[my-namespace/my-kubernetes-sa]. group:{emailid}: An email address that represents a Google group. For example, admins@example.com. domain:{domain}: The G Suite domain (primary) that represents all the users of that domain. For example, google.com or example.com. principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}: A single identity in a workforce identity pool. principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}: All workforce identities in a group. principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}: All workforce identities with a specific attribute value. principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*: All identities in a workforce identity pool. principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}: A single identity in a workload identity pool. principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}: A workload identity pool group. principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}: All identities in a workload identity pool with a certain attribute. principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*: All identities in a workload identity pool. deleted:user:{emailid}?uid={uniqueid}: An email address (plus unique identifier) representing a user that has been recently deleted. For example, alice@example.com?uid=123456789012345678901. If the user is recovered, this value reverts to user:{emailid} and the recovered user retains the role in the binding. deleted:serviceAccount:{emailid}?uid={uniqueid}: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901. If the service account is undeleted, this value reverts to serviceAccount:{emailid} and the undeleted service account retains the role in the binding. deleted:group:{emailid}?uid={uniqueid}: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, admins@example.com?uid=123456789012345678901. If the group is recovered, this value reverts to group:{emailid} and the recovered group retains the role in the binding. deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}: Deleted single identity in a workforce identity pool. For example, deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value.",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "role": {
      "description": "Role that is assigned to the list of members, or principals. For example, roles/viewer, roles/editor, or roles/owner.For an overview of the IAM roles and permissions, see the IAM documentation (https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see here (https://cloud.google.com/iam/docs/understanding-roles).",
      "type": "string"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/Binding",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "type": "object",
  "properties": {
    "clusterName": {
      "$ref": "#/definitions/clusterName"
    },
    "labels": {
      "$ref": "gcp#/definitions/labels"
    },
    "encryptionConfig": {
      "$ref": "#/definitions/encryptionConfig"
    },
    "iamPolicy": {
      "$ref": "gcp-iam#/definitions/projectIamPolicy"
    },
    "status": {
      "type": "object",
      "properties": {
        "state": {
          "$ref": "#/definitions/clusterStatus"
        }
      }
    },
    "turbot": {
      "type": "object",
      "properties": {
        "akas": {
          "type": "array",
          "items": {
            "$ref": "#/definitions/clusterAka"
          }
        },
        "tags": {
          "$ref": "gcp#/definitions/labels"
        },
        "title": {
          "$ref": "#/definitions/clusterName"
        },
        "custom": {
          "type": "object",
          "properties": {
            "createTimestamp": {
              "$ref": "turbot#/definitions/isoTimestamp"
            },
            "gcp": {
              "$ref": "gcp#/definitions/gcpMetadata"
            }
          }
        }
      }
    }
  },
  "required": [
    "clusterName"
  ],
  "additionalProperties": true,
  "tests": [
    {
      "description": "Valid - All properties",
      "input": {
        "clusterName": "testfunction01",
        "title": "testfunctiontesting01",
        "labels": {
          "foo": "bar",
          "foo1": "bar1"
        },
        "turbot": {
          "akas": [
            "gcp://dataproc.googleapis.com/projects/cse-legolas-2/regions/asia-south1/clusters/test01"
          ],
          "tags": {
            "foo": "bar",
            "foo1": "bar1"
          },
          "title": "test01",
          "custom": {
            "createTimestamp": "2017-03-05T13:58:05.590Z",
            "gcp": {
              "projectId": "cse-legolas-2"
            }
          }
        }
      }
    },
    {
      "description": "Invalid - Missing clusterName",
      "input": {
        "title": "testfunctiontesting01",
        "labels": {
          "foo": "bar",
          "foo1": "bar1"
        },
        "turbot": {
          "akas": [
            "gcp://dataproc.googleapis.com/projects/cse-legolas-2/regions/asia-south1/clusters/test01"
          ],
          "tags": {
            "foo": "bar",
            "foo1": "bar1"
          },
          "title": "test01",
          "custom": {
            "createTimestamp": "2017-03-05T13:58:05.590Z",
            "gcp": {
              "projectId": "cse-legolas-2"
            }
          }
        }
      },
      "expected": false
    }
  ],
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/cluster",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Describes the identifying information, config, and status of a Dataproc cluster",
  "properties": {
    "clusterName": {
      "description": "Required. The cluster name, which must be unique within a project. The name must start with a lowercase letter, and can contain up to 51 lowercase letters, numbers, and hyphens. It cannot end with a hyphen. The name of a deleted cluster can be reused.",
      "type": "string"
    },
    "clusterUuid": {
      "description": "Output only. A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.",
      "readOnly": true,
      "type": "string"
    },
    "config": {
      "$ref": "#/definitions/ClusterConfig",
      "description": "Optional. The cluster config for a cluster of Compute Engine Instances. Note that Dataproc may set default values, and values may change when clusters are updated.Exactly one of ClusterConfig or VirtualClusterConfig must be specified."
    },
    "labels": {
      "additionalProperties": {
        "type": "string"
      },
      "description": "Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a cluster.",
      "type": "object"
    },
    "metrics": {
      "$ref": "#/definitions/ClusterMetrics",
      "description": "Output only. Contains cluster daemon metrics such as HDFS and YARN stats.Beta Feature: This report is available for testing purposes only. It may be changed before final release.",
      "readOnly": true
    },
    "projectId": {
      "description": "Required. The Google Cloud Platform project ID that the cluster belongs to.",
      "type": "string"
    },
    "status": {
      "$ref": "#/definitions/ClusterStatus",
      "description": "Output only. Cluster status.",
      "readOnly": true
    },
    "statusHistory": {
      "description": "Output only. The previous cluster status.",
      "items": {
        "$ref": "#/definitions/ClusterStatus"
      },
      "readOnly": true,
      "type": "array"
    },
    "virtualClusterConfig": {
      "$ref": "#/definitions/VirtualClusterConfig",
      "description": "Optional. The virtual cluster config is used when creating a Dataproc cluster that does not directly control the underlying compute resources, for example, when creating a Dataproc-on-GKE cluster (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). Dataproc may set default values, and values may change when clusters are updated. Exactly one of config or virtual_cluster_config must be specified."
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/Cluster",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "type": "string",
  "pattern": "^gcp://dataproc.googleapis.com/projects/[a-z0-9-]{5,29}[a-z0-9]{1}/regions/[a-z](?:[-a-z0-9]{0,86}[a-z0-9])?/clusters/[a-z][a-z0-9-]{2,53}[a-z0-9]$",
  "tests": [
    {
      "descritpion": "base case",
      "input": "gcp://dataproc.googleapis.com/projects/cse-legolas-2/regions/asia-south1/clusters/test01"
    },
    {
      "description": "invalid - invalid arn",
      "input": "i.dataproc.googleapis.com/projects/cse-legolas-2/regions/asia-south1/clusters/test01",
      "expected": false
    }
  ],
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/clusterAka",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "The cluster config.",
  "properties": {
    "autoscalingConfig": {
      "$ref": "#/definitions/AutoscalingConfig",
      "description": "Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset."
    },
    "auxiliaryNodeGroups": {
      "description": "Optional. The node group settings.",
      "items": {
        "$ref": "#/definitions/AuxiliaryNodeGroup"
      },
      "type": "array"
    },
    "configBucket": {
      "description": "Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.",
      "type": "string"
    },
    "dataprocMetricConfig": {
      "$ref": "#/definitions/DataprocMetricConfig",
      "description": "Optional. The config for Dataproc metrics."
    },
    "encryptionConfig": {
      "$ref": "#/definitions/EncryptionConfig",
      "description": "Optional. Encryption settings for the cluster."
    },
    "endpointConfig": {
      "$ref": "#/definitions/EndpointConfig",
      "description": "Optional. Port/endpoint configuration for this cluster"
    },
    "gceClusterConfig": {
      "$ref": "#/definitions/GceClusterConfig",
      "description": "Optional. The shared Compute Engine config settings for all instances in a cluster."
    },
    "gkeClusterConfig": {
      "$ref": "#/definitions/GkeClusterConfig",
      "deprecated": true,
      "description": "Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config."
    },
    "initializationActions": {
      "description": "Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ \"${ROLE}\" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi ",
      "items": {
        "$ref": "#/definitions/NodeInitializationAction"
      },
      "type": "array"
    },
    "lifecycleConfig": {
      "$ref": "#/definitions/LifecycleConfig",
      "description": "Optional. Lifecycle setting for the cluster."
    },
    "masterConfig": {
      "$ref": "#/definitions/InstanceGroupConfig",
      "description": "Optional. The Compute Engine config settings for the cluster's master instance."
    },
    "metastoreConfig": {
      "$ref": "#/definitions/MetastoreConfig",
      "description": "Optional. Metastore configuration."
    },
    "secondaryWorkerConfig": {
      "$ref": "#/definitions/InstanceGroupConfig",
      "description": "Optional. The Compute Engine config settings for a cluster's secondary worker instances"
    },
    "securityConfig": {
      "$ref": "#/definitions/SecurityConfig",
      "description": "Optional. Security settings for the cluster."
    },
    "softwareConfig": {
      "$ref": "#/definitions/SoftwareConfig",
      "description": "Optional. The config settings for cluster software."
    },
    "tempBucket": {
      "description": "Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.",
      "type": "string"
    },
    "workerConfig": {
      "$ref": "#/definitions/InstanceGroupConfig",
      "description": "Optional. The Compute Engine config settings for the cluster's worker instances."
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/ClusterConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "type": "string",
  "tests": [
    {
      "input": "jvuyfv6#tr"
    },
    {
      "input": "7ff#65tg_"
    },
    {
      "description": "valid case",
      "input": "projects/cse-legolas/locations/global/keyRings/test/cryptoKeys/disk/cryptoKeyVersions/1"
    },
    {
      "description": "invalid - encryption cannot contains array",
      "input": [],
      "expected": false
    }
  ],
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/clusterencryptkmskey",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Contains cluster daemon metrics, such as HDFS and YARN stats.Beta Feature: This report is available for testing purposes only. It may be changed before final release.",
  "properties": {
    "hdfsMetrics": {
      "additionalProperties": {
        "format": "int64",
        "type": "string"
      },
      "description": "The HDFS metrics.",
      "type": "object"
    },
    "yarnMetrics": {
      "additionalProperties": {
        "format": "int64",
        "type": "string"
      },
      "description": "YARN metrics.",
      "type": "object"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/ClusterMetrics",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "type": "string",
  "pattern": "^[a-z][a-z0-9-]{2,53}[a-z0-9]$",
  "tests": [
    {
      "description": "valid case",
      "input": "test-00123"
    },
    {
      "description": "invalid - cannot end with a hyphen",
      "input": "testName01-",
      "expected": false
    },
    {
      "description": "invalid - too long",
      "input": "test555testtstststststsststest555testtstststststsststest555testtstststststsststest555testtstststststsststest555testtstststststssts",
      "expected": false
    }
  ],
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/clusterName",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "A selector that chooses target cluster for jobs based on metadata.",
  "properties": {
    "clusterLabels": {
      "additionalProperties": {
        "type": "string"
      },
      "description": "Required. The cluster labels. Cluster must have all labels to match.",
      "type": "object"
    },
    "zone": {
      "description": "Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.",
      "type": "string"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/ClusterSelector",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "defaultColumns": {
    "autoscaling_config": {
      "column": "enabled",
      "path": "data.config.autoscalingConfig"
    },
    "auxiliary_node_groups": {
      "column": "enabled",
      "path": "data.config.auxiliaryNodeGroups"
    },
    "cluster_name": {
      "column": "enabled"
    },
    "cluster_uuid": {
      "column": "enabled",
      "label": "Cluster UUID",
      "path": "data.clusterUuid"
    },
    "encryption_config": {
      "column": "enabled",
      "path": "data.config.encryptionConfig"
    },
    "kubernetes_cluster_config": {
      "column": "enabled",
      "path": "data.virtualClusterConfig.kubernetesClusterConfig"
    },
    "labels": {
      "column": "enabled",
      "type": "string",
      "size": 1000
    },
    "project_id": {
      "column": "enabled",
      "label": "Project ID",
      "path": "metadata.gcp.ProjectId"
    },
    "region_name": {
      "column": "enabled",
      "path": "metadata.gcp.regionName"
    },
    "staging_bucket": {
      "column": "enabled",
      "path": "data.virtualClusterConfig.stagingBucket"
    },
    "status": {
      "column": "enabled"
    }
  },
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/clusterServiceNow",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "type": "string",
  "enum": [
    "CREATING",
    "RUNNING",
    "ERROR",
    "DELETING",
    "UPDATING"
  ],
  "tests": [
    {
      "input": "CREATING"
    },
    {
      "input": "ERROR"
    },
    {
      "description": "invalid - not listed in options",
      "input": "Reactive",
      "expected": false
    },
    {
      "description": "invalid - null value",
      "input": null,
      "expected": false
    }
  ],
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/clusterStatus",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "The status of a cluster and its instances.",
  "properties": {
    "detail": {
      "description": "Optional. Output only. Details of cluster's state.",
      "readOnly": true,
      "type": "string"
    },
    "state": {
      "description": "Output only. The cluster's state.",
      "enum": [
        "UNKNOWN",
        "CREATING",
        "RUNNING",
        "ERROR",
        "ERROR_DUE_TO_UPDATE",
        "DELETING",
        "UPDATING",
        "STOPPING",
        "STOPPED",
        "STARTING",
        "REPAIRING"
      ],
      "readOnly": true,
      "type": "string"
    },
    "stateStartTime": {
      "description": "Output only. Time when this state was entered (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).",
      "format": "google-datetime",
      "readOnly": true,
      "type": "string"
    },
    "substate": {
      "description": "Output only. Additional state information that includes status reported by the agent.",
      "enum": [
        "UNSPECIFIED",
        "UNHEALTHY",
        "STALE_STATUS"
      ],
      "readOnly": true,
      "type": "string"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/ClusterStatus",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs)",
  "properties": {
    "enableConfidentialCompute": {
      "description": "Optional. Defines whether the instance should have confidential compute enabled.",
      "type": "boolean"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/ConfidentialInstanceConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "allOf": [
    {
      "$ref": "turbot#/definitions/service"
    },
    {
      "type": "object",
      "properties": {
        "name": {
          "$ref": "#/definitions/dataprocName"
        },
        "state": {
          "$ref": "gcp#/definitions/state"
        },
        "turbot": {
          "type": "object",
          "properties": {
            "akas": {
              "type": "array",
              "items": {
                "$ref": "#/definitions/dataprocAka"
              }
            },
            "title": {
              "const": "Dataproc"
            },
            "custom": {
              "type": "object",
              "properties": {
                "gcp": {
                  "$ref": "gcp#/definitions/gcpMetadata"
                }
              }
            }
          }
        }
      },
      "required": [
        "name",
        "turbot"
      ],
      "additionalProperties": true,
      "tests": [
        {
          "description": "Valid - base test",
          "input": {
            "name": "projects/932405488407/services/dataproc.googleapis.com",
            "turbot": {
              "akas": [
                "gcp://serviceusage.googleapis.com/projects/932405488407/services/dataproc.googleapis.com"
              ],
              "title": "BigQuery",
              "custom": {
                "gcp": {
                  "projectId": "cse-legolas-2"
                }
              }
            }
          }
        },
        {
          "description": "Invalid - service provider name prefixed",
          "input": {
            "name": "GCP Bigquery",
            "turbot": {
              "akas": [
                "gcp://serviceusage.googleapis.com/projects/932405488407/services/dataproc.googleapis.com"
              ],
              "title": "BigQuery",
              "custom": {
                "gcp": {
                  "projectId": "cse-legolas-2"
                }
              }
            }
          },
          "expected": false
        }
      ]
    }
  ],
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/dataproc",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "type": "string",
  "pattern": "^gcp://serviceusage.googleapis.com/projects/[0-9]{12}/services/dataproc.googleapis.com",
  "tests": [
    {
      "description": "base",
      "input": "gcp://serviceusage.googleapis.com/projects/932405488407/services/dataproc.googleapis.com"
    },
    {
      "description": "invalid aka",
      "input": "gcp://serviceusage.googleapis.com/projects/cse-legolas-2/services/dataproc.googleapis.com",
      "expected": false
    }
  ],
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/dataprocAka",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Dataproc metric config.",
  "properties": {
    "metrics": {
      "description": "Required. Metrics sources to enable.",
      "items": {
        "$ref": "#/definitions/Metric"
      },
      "type": "array"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/DataprocMetricConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "type": "string",
  "pattern": "^projects/[0-9]{12}/services/dataproc.googleapis.com",
  "tests": [
    {
      "description": "base",
      "input": "projects/932405488407/services/dataproc.googleapis.com"
    },
    {
      "description": "invalid aka",
      "input": "gcp://serviceusage.googleapis.com/projects/cse-legolas-2/services/dataproc.googleapis.com",
      "expected": false
    }
  ],
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/dataprocName",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Specifies the config of disk options for a group of VM instances.",
  "properties": {
    "bootDiskSizeGb": {
      "description": "Optional. Size in GB of the boot disk (default is 500GB).",
      "format": "int32",
      "type": "integer"
    },
    "bootDiskType": {
      "description": "Optional. Type of the boot disk (default is \"pd-standard\"). Valid values: \"pd-balanced\" (Persistent Disk Balanced Solid State Drive), \"pd-ssd\" (Persistent Disk Solid State Drive), or \"pd-standard\" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).",
      "type": "string"
    },
    "localSsdInterface": {
      "description": "Optional. Interface type of local SSDs (default is \"scsi\"). Valid values: \"scsi\" (Small Computer System Interface), \"nvme\" (Non-Volatile Memory Express). See local SSD performance (https://cloud.google.com/compute/docs/disks/local-ssd#performance).",
      "type": "string"
    },
    "numLocalSsds": {
      "description": "Optional. Number of attached SSDs, from 0 to 8 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.Note: Local SSD options may vary by machine type and number of vCPUs selected.",
      "format": "int32",
      "type": "integer"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/DiskConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Driver scheduling configuration.",
  "properties": {
    "memoryMb": {
      "description": "Required. The amount of memory in MB the driver is requesting.",
      "format": "int32",
      "type": "integer"
    },
    "vcores": {
      "description": "Required. The number of vCPUs the driver is requesting.",
      "format": "int32",
      "type": "integer"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/DriverSchedulingConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "type": "object",
  "properties": {
    "gcePdKmsKeyName": {
      "$ref": "#/definitions/clusterencryptkmskey"
    }
  },
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/encryptionConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Encryption settings for the cluster.",
  "properties": {
    "gcePdKmsKeyName": {
      "description": "Optional. The Cloud KMS key resource name to use for persistent disk encryption for all instances in the cluster. See Use CMEK with cluster data (https://cloud.google.com//dataproc/docs/concepts/configuring-clusters/customer-managed-encryption#use_cmek_with_cluster_data) for more information.",
      "type": "string"
    },
    "kmsKey": {
      "description": "Optional. The Cloud KMS key resource name to use for cluster persistent disk and job argument encryption. See Use CMEK with cluster data (https://cloud.google.com//dataproc/docs/concepts/configuring-clusters/customer-managed-encryption#use_cmek_with_cluster_data) for more information.When this key resource name is provided, the following job arguments of the following job types submitted to the cluster are encrypted using CMEK: FlinkJob args (https://cloud.google.com/dataproc/docs/reference/rest/v1/FlinkJob) HadoopJob args (https://cloud.google.com/dataproc/docs/reference/rest/v1/HadoopJob) SparkJob args (https://cloud.google.com/dataproc/docs/reference/rest/v1/SparkJob) SparkRJob args (https://cloud.google.com/dataproc/docs/reference/rest/v1/SparkRJob) PySparkJob args (https://cloud.google.com/dataproc/docs/reference/rest/v1/PySparkJob) SparkSqlJob (https://cloud.google.com/dataproc/docs/reference/rest/v1/SparkSqlJob) scriptVariables and queryList.queries HiveJob (https://cloud.google.com/dataproc/docs/reference/rest/v1/HiveJob) scriptVariables and queryList.queries PigJob (https://cloud.google.com/dataproc/docs/reference/rest/v1/PigJob) scriptVariables and queryList.queries PrestoJob (https://cloud.google.com/dataproc/docs/reference/rest/v1/PrestoJob) scriptVariables and queryList.queries",
      "type": "string"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/EncryptionConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Endpoint config for this cluster",
  "properties": {
    "enableHttpPortAccess": {
      "description": "Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.",
      "type": "boolean"
    },
    "httpPorts": {
      "additionalProperties": {
        "type": "string"
      },
      "description": "Output only. The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.",
      "readOnly": true,
      "type": "object"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/EndpointConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec.Example (Comparison): title: \"Summary size limit\" description: \"Determines if a summary is less than 100 chars\" expression: \"document.summary.size() < 100\" Example (Equality): title: \"Requestor is owner\" description: \"Determines if requestor is the document owner\" expression: \"document.owner == request.auth.claims.email\" Example (Logic): title: \"Public documents\" description: \"Determine whether the document should be publicly visible\" expression: \"document.type != 'private' && document.type != 'internal'\" Example (Data Manipulation): title: \"Notification string\" description: \"Create a notification string with a timestamp.\" expression: \"'New message received at ' + string(document.create_time)\" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information.",
  "properties": {
    "description": {
      "description": "Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.",
      "type": "string"
    },
    "expression": {
      "description": "Textual representation of an expression in Common Expression Language syntax.",
      "type": "string"
    },
    "location": {
      "description": "Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.",
      "type": "string"
    },
    "title": {
      "description": "Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.",
      "type": "string"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/Expr",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "A Dataproc job for running Apache Flink applications on YARN.",
  "properties": {
    "args": {
      "description": "Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "jarFileUris": {
      "description": "Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "loggingConfig": {
      "$ref": "#/definitions/LoggingConfig",
      "description": "Optional. The runtime log config for job execution."
    },
    "mainClass": {
      "description": "The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.",
      "type": "string"
    },
    "mainJarFileUri": {
      "description": "The HCFS URI of the jar file that contains the main class.",
      "type": "string"
    },
    "properties": {
      "additionalProperties": {
        "type": "string"
      },
      "description": "Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.",
      "type": "object"
    },
    "savepointUri": {
      "description": "Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.",
      "type": "string"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/FlinkJob",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Common config settings for resources of Compute Engine cluster instances, applicable to all instances in the cluster.",
  "properties": {
    "confidentialInstanceConfig": {
      "$ref": "#/definitions/ConfidentialInstanceConfig",
      "description": "Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs)."
    },
    "internalIpOnly": {
      "description": "Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.",
      "type": "boolean"
    },
    "metadata": {
      "additionalProperties": {
        "type": "string"
      },
      "description": "Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).",
      "type": "object"
    },
    "networkUri": {
      "description": "Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the \"default\" network of the project is used, if it exists. Cannot be a \"Custom Subnet Network\" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default",
      "type": "string"
    },
    "nodeGroupAffinity": {
      "$ref": "#/definitions/NodeGroupAffinity",
      "description": "Optional. Node Group Affinity for sole-tenant clusters."
    },
    "privateIpv6GoogleAccess": {
      "description": "Optional. The type of IPv6 access for a cluster.",
      "enum": [
        "PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED",
        "INHERIT_FROM_SUBNETWORK",
        "OUTBOUND",
        "BIDIRECTIONAL"
      ],
      "type": "string"
    },
    "reservationAffinity": {
      "$ref": "#/definitions/ReservationAffinity",
      "description": "Optional. Reservation Affinity for consuming Zonal reservation."
    },
    "serviceAccount": {
      "description": "Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.",
      "type": "string"
    },
    "serviceAccountScopes": {
      "description": "Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "shieldedInstanceConfig": {
      "$ref": "#/definitions/ShieldedInstanceConfig",
      "description": "Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm)."
    },
    "subnetworkUri": {
      "description": "Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0",
      "type": "string"
    },
    "tags": {
      "description": "The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "zoneUri": {
      "description": "Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]",
      "type": "string"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/GceClusterConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "The cluster's GKE config.",
  "properties": {
    "gkeClusterTarget": {
      "description": "Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'",
      "type": "string"
    },
    "namespacedGkeDeploymentTarget": {
      "$ref": "#/definitions/NamespacedGkeDeploymentTarget",
      "deprecated": true,
      "description": "Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment."
    },
    "nodePoolTarget": {
      "description": "Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.",
      "items": {
        "$ref": "#/definitions/GkeNodePoolTarget"
      },
      "type": "array"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/GkeClusterConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "Parameters that describe cluster nodes.",
  "properties": {
    "accelerators": {
      "description": "Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.",
      "items": {
        "$ref": "#/definitions/GkeNodePoolAcceleratorConfig"
      },
      "type": "array"
    },
    "bootDiskKmsKey": {
      "description": "Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}",
      "type": "string"
    },
    "localSsdCount": {
      "description": "Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).",
      "format": "int32",
      "type": "integer"
    },
    "machineType": {
      "description": "Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).",
      "type": "string"
    },
    "minCpuPlatform": {
      "description": "Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as \"Intel Haswell\"` or Intel Sandy Bridge\".",
      "type": "string"
    },
    "preemptible": {
      "description": "Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).",
      "type": "boolean"
    },
    "spot": {
      "description": "Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).",
      "type": "boolean"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/GkeNodeConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "A GkeNodeConfigAcceleratorConfig represents a Hardware Accelerator request for a node pool.",
  "properties": {
    "acceleratorCount": {
      "description": "The number of accelerator cards exposed to an instance.",
      "format": "int64",
      "type": "string"
    },
    "acceleratorType": {
      "description": "The accelerator type resource namename (see GPUs on Compute Engine).",
      "type": "string"
    },
    "gpuPartitionSize": {
      "description": "Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).",
      "type": "string"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/GkeNodePoolAcceleratorConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "GkeNodePoolAutoscaling contains information the cluster autoscaler needs to adjust the size of the node pool to the current cluster usage.",
  "properties": {
    "maxNodeCount": {
      "description": "The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.",
      "format": "int32",
      "type": "integer"
    },
    "minNodeCount": {
      "description": "The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.",
      "format": "int32",
      "type": "integer"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/GkeNodePoolAutoscalingConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "The configuration of a GKE node pool used by a Dataproc-on-GKE cluster (https://cloud.google.com/dataproc/docs/concepts/jobs/dataproc-gke#create-a-dataproc-on-gke-cluster).",
  "properties": {
    "autoscaling": {
      "$ref": "#/definitions/GkeNodePoolAutoscalingConfig",
      "description": "Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present."
    },
    "config": {
      "$ref": "#/definitions/GkeNodeConfig",
      "description": "Optional. The node pool configuration."
    },
    "locations": {
      "description": "Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.",
      "items": {
        "type": "string"
      },
      "type": "array"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/GkeNodePoolConfig",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}

{
  "description": "GKE node pools that Dataproc workloads run on.",
  "properties": {
    "nodePool": {
      "description": "Required. The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'",
      "type": "string"
    },
    "nodePoolConfig": {
      "$ref": "#/definitions/GkeNodePoolConfig",
      "description": "Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API."
    },
    "roles": {
      "description": "Required. The roles associated with the GKE node pool.",
      "items": {
        "enum": [
          "ROLE_UNSPECIFIED",
          "DEFAULT",
          "CONTROLLER",
          "SPARK_DRIVER",
          "SPARK_EXECUTOR"
        ],
        "type": "string"
      },
      "type": "array"
    }
  },
  "type": "object",
  ".turbot": {
    "uri": "tmod:@turbot/gcp-dataproc#/definitions/GkeNodePoolTarget",
    "modUri": "tmod:@turbot/gcp-dataproc"
  }
}