Release v1.6.0 (#324)

* Update version and changelog for v1.6.0
* Update docs
diff --git a/docs/dyn/dataproc_v1beta1.projects.clusters.html b/docs/dyn/dataproc_v1beta1.projects.clusters.html
index b478300..7aca002 100644
--- a/docs/dyn/dataproc_v1beta1.projects.clusters.html
+++ b/docs/dyn/dataproc_v1beta1.projects.clusters.html
@@ -87,7 +87,7 @@
   <code><a href="#get">get(projectId, clusterName, x__xgafv=None)</a></code></p>
 <p class="firstline">Gets the resource representation for a cluster in a project.</p>
 <p class="toc_element">
-  <code><a href="#list">list(projectId, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
+  <code><a href="#list">list(projectId, pageSize=None, filter=None, pageToken=None, x__xgafv=None)</a></code></p>
 <p class="firstline">Lists all clusters in a project.</p>
 <p class="toc_element">
   <code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
@@ -121,6 +121,17 @@
   "clusterUuid": "A String", # [Output-only] A cluster UUID (Unique Universal Identifier). Cloud Dataproc generates this value when it creates the cluster.
   "clusterName": "A String", # [Required] The cluster name. Cluster names within a project must be unique. Names from deleted clusters can be reused.
   "projectId": "A String", # [Required] The Google Cloud Platform project ID that the cluster belongs to.
+  "labels": { # [Optional] The labels to associate with this cluster. Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62} Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}_-]{0,63} No more than 64 labels can be associated with a given cluster.
+    "a_key": "A String",
+  },
+  "metrics": { # Contains cluster daemon metrics, such as HDFS and YARN stats. # Contains cluster daemon metrics such as HDFS and YARN stats.
+    "yarnMetrics": { # The YARN metrics.
+      "a_key": "A String",
+    },
+    "hdfsMetrics": { # The HDFS metrics.
+      "a_key": "A String",
+    },
+  },
   "configuration": { # The cluster configuration. # [Required] The cluster configuration. Note that Cloud Dataproc may set default values, and values may change when clusters are updated.
     "softwareConfiguration": { # Specifies the selection and configuration of software inside the cluster. # [Optional] The configuration settings for software inside the cluster.
       "imageVersion": "A String", # [Optional] The version of software inside the cluster. It must match the regular expression `[0-9]+\.[0-9]+`. If unspecified, it defaults to the latest version (see [Cloud Dataproc Versioning](/dataproc/versioning)).
@@ -129,6 +140,7 @@
       },
     },
     "gceClusterConfiguration": { # Common configuration settings for resources of Google Compute Engine cluster instances, applicable to all instances in the cluster. # [Required] The shared Google Compute Engine configuration settings for all instances in a cluster.
+      "internalIpOnly": True or False, # If true, all instances in the cluser 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 restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
       "networkUri": "A String", # The Google 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 https://cloud.google.com/compute/docs/subnetworks for more information). Example: `https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default`.
       "tags": [ # The Google Compute Engine tags to add to all instances.
         "A String",
@@ -210,21 +222,21 @@
 
     { # This resource represents a long-running operation that is the result of a network API call.
     "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
-      "a_key": "", # Properties of the object. Contains field @ype with type URL.
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
     },
-    "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). The error model is designed to be: - Simple to use and understand for most users - Flexible enough to meet unexpected needs # Overview The `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of google.rpc.Code, but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` which can be used for common error conditions. # Language mapping The `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C. # Other uses The error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments. Example uses of this error model include: - Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors. - Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting purpose. - Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response. - Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message. - Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons. # The error result of the operation in case of failure.
+    "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). The error model is designed to be: - Simple to use and understand for most users - Flexible enough to meet unexpected needs # Overview The `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of google.rpc.Code, but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` which can be used for common error conditions. # Language mapping The `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C. # Other uses The error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments. Example uses of this error model include: - Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors. - Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting purpose. - Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response. - Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message. - Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons. # The error result of the operation in case of failure or cancellation.
       "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
       "code": 42, # The status code, which should be an enum value of google.rpc.Code.
       "details": [ # A list of messages that carry the error details. There will be a common set of message types for APIs to use.
         {
-          "a_key": "", # Properties of the object. Contains field @ype with type URL.
+          "a_key": "", # Properties of the object. Contains field @type with type URL.
         },
       ],
     },
     "done": True or False, # If the value is `false`, it means the operation is still in progress. If true, the operation is completed, and either `error` or `response` is available.
     "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should have the format of `operations/some/unique/name`.
     "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
-      "a_key": "", # Properties of the object. Contains field @ype with type URL.
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
     },
   }</pre>
 </div>
@@ -243,21 +255,21 @@
 
     { # This resource represents a long-running operation that is the result of a network API call.
     "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
-      "a_key": "", # Properties of the object. Contains field @ype with type URL.
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
     },
-    "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). The error model is designed to be: - Simple to use and understand for most users - Flexible enough to meet unexpected needs # Overview The `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of google.rpc.Code, but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` which can be used for common error conditions. # Language mapping The `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C. # Other uses The error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments. Example uses of this error model include: - Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors. - Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting purpose. - Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response. - Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message. - Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons. # The error result of the operation in case of failure.
+    "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). The error model is designed to be: - Simple to use and understand for most users - Flexible enough to meet unexpected needs # Overview The `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of google.rpc.Code, but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` which can be used for common error conditions. # Language mapping The `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C. # Other uses The error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments. Example uses of this error model include: - Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors. - Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting purpose. - Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response. - Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message. - Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons. # The error result of the operation in case of failure or cancellation.
       "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
       "code": 42, # The status code, which should be an enum value of google.rpc.Code.
       "details": [ # A list of messages that carry the error details. There will be a common set of message types for APIs to use.
         {
-          "a_key": "", # Properties of the object. Contains field @ype with type URL.
+          "a_key": "", # Properties of the object. Contains field @type with type URL.
         },
       ],
     },
     "done": True or False, # If the value is `false`, it means the operation is still in progress. If true, the operation is completed, and either `error` or `response` is available.
     "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should have the format of `operations/some/unique/name`.
     "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
-      "a_key": "", # Properties of the object. Contains field @ype with type URL.
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
     },
   }</pre>
 </div>
@@ -282,21 +294,21 @@
 
     { # This resource represents a long-running operation that is the result of a network API call.
     "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
-      "a_key": "", # Properties of the object. Contains field @ype with type URL.
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
     },
-    "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). The error model is designed to be: - Simple to use and understand for most users - Flexible enough to meet unexpected needs # Overview The `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of google.rpc.Code, but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` which can be used for common error conditions. # Language mapping The `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C. # Other uses The error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments. Example uses of this error model include: - Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors. - Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting purpose. - Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response. - Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message. - Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons. # The error result of the operation in case of failure.
+    "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). The error model is designed to be: - Simple to use and understand for most users - Flexible enough to meet unexpected needs # Overview The `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of google.rpc.Code, but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` which can be used for common error conditions. # Language mapping The `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C. # Other uses The error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments. Example uses of this error model include: - Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors. - Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting purpose. - Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response. - Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message. - Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons. # The error result of the operation in case of failure or cancellation.
       "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
       "code": 42, # The status code, which should be an enum value of google.rpc.Code.
       "details": [ # A list of messages that carry the error details. There will be a common set of message types for APIs to use.
         {
-          "a_key": "", # Properties of the object. Contains field @ype with type URL.
+          "a_key": "", # Properties of the object. Contains field @type with type URL.
         },
       ],
     },
     "done": True or False, # If the value is `false`, it means the operation is still in progress. If true, the operation is completed, and either `error` or `response` is available.
     "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should have the format of `operations/some/unique/name`.
     "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
-      "a_key": "", # Properties of the object. Contains field @ype with type URL.
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
     },
   }</pre>
 </div>
@@ -329,6 +341,17 @@
     "clusterUuid": "A String", # [Output-only] A cluster UUID (Unique Universal Identifier). Cloud Dataproc generates this value when it creates the cluster.
     "clusterName": "A String", # [Required] The cluster name. Cluster names within a project must be unique. Names from deleted clusters can be reused.
     "projectId": "A String", # [Required] The Google Cloud Platform project ID that the cluster belongs to.
+    "labels": { # [Optional] The labels to associate with this cluster. Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62} Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}_-]{0,63} No more than 64 labels can be associated with a given cluster.
+      "a_key": "A String",
+    },
+    "metrics": { # Contains cluster daemon metrics, such as HDFS and YARN stats. # Contains cluster daemon metrics such as HDFS and YARN stats.
+      "yarnMetrics": { # The YARN metrics.
+        "a_key": "A String",
+      },
+      "hdfsMetrics": { # The HDFS metrics.
+        "a_key": "A String",
+      },
+    },
     "configuration": { # The cluster configuration. # [Required] The cluster configuration. Note that Cloud Dataproc may set default values, and values may change when clusters are updated.
       "softwareConfiguration": { # Specifies the selection and configuration of software inside the cluster. # [Optional] The configuration settings for software inside the cluster.
         "imageVersion": "A String", # [Optional] The version of software inside the cluster. It must match the regular expression `[0-9]+\.[0-9]+`. If unspecified, it defaults to the latest version (see [Cloud Dataproc Versioning](/dataproc/versioning)).
@@ -337,6 +360,7 @@
         },
       },
       "gceClusterConfiguration": { # Common configuration settings for resources of Google Compute Engine cluster instances, applicable to all instances in the cluster. # [Required] The shared Google Compute Engine configuration settings for all instances in a cluster.
+        "internalIpOnly": True or False, # If true, all instances in the cluser 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 restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
         "networkUri": "A String", # The Google 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 https://cloud.google.com/compute/docs/subnetworks for more information). Example: `https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default`.
         "tags": [ # The Google Compute Engine tags to add to all instances.
           "A String",
@@ -413,12 +437,13 @@
 </div>
 
 <div class="method">
-    <code class="details" id="list">list(projectId, pageSize=None, pageToken=None, x__xgafv=None)</code>
+    <code class="details" id="list">list(projectId, pageSize=None, filter=None, pageToken=None, x__xgafv=None)</code>
   <pre>Lists all clusters in a project.
 
 Args:
   projectId: string, [Required] The ID of the Google Cloud Platform project that the cluster belongs to. (required)
   pageSize: integer, The standard List page size.
+  filter: string, [Optional] A filter constraining which clusters to list. Valid filters contain label terms such as: labels.key1 = val1 AND (-labels.k2 = val2 OR labels.k3 = val3)
   pageToken: string, The standard List page token.
   x__xgafv: string, V1 error format.
 
@@ -444,6 +469,17 @@
         "clusterUuid": "A String", # [Output-only] A cluster UUID (Unique Universal Identifier). Cloud Dataproc generates this value when it creates the cluster.
         "clusterName": "A String", # [Required] The cluster name. Cluster names within a project must be unique. Names from deleted clusters can be reused.
         "projectId": "A String", # [Required] The Google Cloud Platform project ID that the cluster belongs to.
+        "labels": { # [Optional] The labels to associate with this cluster. Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62} Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}_-]{0,63} No more than 64 labels can be associated with a given cluster.
+          "a_key": "A String",
+        },
+        "metrics": { # Contains cluster daemon metrics, such as HDFS and YARN stats. # Contains cluster daemon metrics such as HDFS and YARN stats.
+          "yarnMetrics": { # The YARN metrics.
+            "a_key": "A String",
+          },
+          "hdfsMetrics": { # The HDFS metrics.
+            "a_key": "A String",
+          },
+        },
         "configuration": { # The cluster configuration. # [Required] The cluster configuration. Note that Cloud Dataproc may set default values, and values may change when clusters are updated.
           "softwareConfiguration": { # Specifies the selection and configuration of software inside the cluster. # [Optional] The configuration settings for software inside the cluster.
             "imageVersion": "A String", # [Optional] The version of software inside the cluster. It must match the regular expression `[0-9]+\.[0-9]+`. If unspecified, it defaults to the latest version (see [Cloud Dataproc Versioning](/dataproc/versioning)).
@@ -452,6 +488,7 @@
             },
           },
           "gceClusterConfiguration": { # Common configuration settings for resources of Google Compute Engine cluster instances, applicable to all instances in the cluster. # [Required] The shared Google Compute Engine configuration settings for all instances in a cluster.
+            "internalIpOnly": True or False, # If true, all instances in the cluser 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 restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
             "networkUri": "A String", # The Google 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 https://cloud.google.com/compute/docs/subnetworks for more information). Example: `https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default`.
             "tags": [ # The Google Compute Engine tags to add to all instances.
               "A String",
@@ -569,6 +606,17 @@
   "clusterUuid": "A String", # [Output-only] A cluster UUID (Unique Universal Identifier). Cloud Dataproc generates this value when it creates the cluster.
   "clusterName": "A String", # [Required] The cluster name. Cluster names within a project must be unique. Names from deleted clusters can be reused.
   "projectId": "A String", # [Required] The Google Cloud Platform project ID that the cluster belongs to.
+  "labels": { # [Optional] The labels to associate with this cluster. Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62} Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}_-]{0,63} No more than 64 labels can be associated with a given cluster.
+    "a_key": "A String",
+  },
+  "metrics": { # Contains cluster daemon metrics, such as HDFS and YARN stats. # Contains cluster daemon metrics such as HDFS and YARN stats.
+    "yarnMetrics": { # The YARN metrics.
+      "a_key": "A String",
+    },
+    "hdfsMetrics": { # The HDFS metrics.
+      "a_key": "A String",
+    },
+  },
   "configuration": { # The cluster configuration. # [Required] The cluster configuration. Note that Cloud Dataproc may set default values, and values may change when clusters are updated.
     "softwareConfiguration": { # Specifies the selection and configuration of software inside the cluster. # [Optional] The configuration settings for software inside the cluster.
       "imageVersion": "A String", # [Optional] The version of software inside the cluster. It must match the regular expression `[0-9]+\.[0-9]+`. If unspecified, it defaults to the latest version (see [Cloud Dataproc Versioning](/dataproc/versioning)).
@@ -577,6 +625,7 @@
       },
     },
     "gceClusterConfiguration": { # Common configuration settings for resources of Google Compute Engine cluster instances, applicable to all instances in the cluster. # [Required] The shared Google Compute Engine configuration settings for all instances in a cluster.
+      "internalIpOnly": True or False, # If true, all instances in the cluser 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 restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
       "networkUri": "A String", # The Google 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 https://cloud.google.com/compute/docs/subnetworks for more information). Example: `https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default`.
       "tags": [ # The Google Compute Engine tags to add to all instances.
         "A String",
@@ -659,21 +708,21 @@
 
     { # This resource represents a long-running operation that is the result of a network API call.
     "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
-      "a_key": "", # Properties of the object. Contains field @ype with type URL.
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
     },
-    "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). The error model is designed to be: - Simple to use and understand for most users - Flexible enough to meet unexpected needs # Overview The `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of google.rpc.Code, but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` which can be used for common error conditions. # Language mapping The `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C. # Other uses The error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments. Example uses of this error model include: - Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors. - Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting purpose. - Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response. - Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message. - Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons. # The error result of the operation in case of failure.
+    "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). The error model is designed to be: - Simple to use and understand for most users - Flexible enough to meet unexpected needs # Overview The `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of google.rpc.Code, but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` which can be used for common error conditions. # Language mapping The `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C. # Other uses The error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments. Example uses of this error model include: - Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors. - Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting purpose. - Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response. - Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message. - Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons. # The error result of the operation in case of failure or cancellation.
       "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
       "code": 42, # The status code, which should be an enum value of google.rpc.Code.
       "details": [ # A list of messages that carry the error details. There will be a common set of message types for APIs to use.
         {
-          "a_key": "", # Properties of the object. Contains field @ype with type URL.
+          "a_key": "", # Properties of the object. Contains field @type with type URL.
         },
       ],
     },
     "done": True or False, # If the value is `false`, it means the operation is still in progress. If true, the operation is completed, and either `error` or `response` is available.
     "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should have the format of `operations/some/unique/name`.
     "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
-      "a_key": "", # Properties of the object. Contains field @ype with type URL.
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
     },
   }</pre>
 </div>