grpc 第三方依赖 就是grpc的 third_party 文件夹
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type: com.google.api.codegen.ConfigProto
config_schema_version: 1.0.0
# The settings of generated code in a specific language.
language_settings:
java:
package_name: com.google.cloud.dataproc.v1
python:
package_name: google.cloud.dataproc_v1.gapic
go:
package_name: cloud.google.com/go/dataproc/apiv1
csharp:
package_name: Google.Cloud.Dataproc.V1
ruby:
package_name: Google::Cloud::Dataproc::V1
php:
package_name: Google\Cloud\Dataproc\V1
nodejs:
package_name: dataproc.v1
domain_layer_location: google-cloud
# A list of API interface configurations.
interfaces:
# The fully qualified name of the API interface.
- name: google.cloud.dataproc.v1.ClusterController
# A list of resource collection configurations.
# Consists of a name_pattern and an entity_name.
# The name_pattern is a pattern to describe the names of the resources of this
# collection, using the platform's conventions for URI patterns. A generator
# may use this to generate methods to compose and decompose such names. The
# pattern should use named placeholders as in `shelves/{shelf}/books/{book}`;
# those will be taken as hints for the parameter names of the generated
# methods. If empty, no name methods are generated.
# The entity_name is the name to be used as a basis for generated methods and
# classes.
collections: []
# Definition for smoke test.
smoke_test:
method: ListClusters
init_fields:
- project_id=$PROJECT_ID
- region="global"
# Definition for retryable codes.
retry_codes_def:
- name: idempotent
retry_codes:
- INTERNAL
- DEADLINE_EXCEEDED
- UNAVAILABLE
- name: non_idempotent
retry_codes:
- UNAVAILABLE
# Definition for retry/backoff parameters.
retry_params_def:
- name: default
initial_retry_delay_millis: 100
retry_delay_multiplier: 1.3
max_retry_delay_millis: 60000
initial_rpc_timeout_millis: 10000
rpc_timeout_multiplier: 1
max_rpc_timeout_millis: 10000
total_timeout_millis: 300000
# A list of method configurations.
# Common properties:
#
# name - The simple name of the method.
#
# flattening - Specifies the configuration for parameter flattening.
# Describes the parameter groups for which a generator should produce method
# overloads which allow a client to directly pass request message fields as
# method parameters. This information may or may not be used, depending on
# the target language.
# Consists of groups, which each represent a list of parameters to be
# flattened. Each parameter listed must be a field of the request message.
#
# required_fields - Fields that are always required for a request to be
# valid.
#
# page_streaming - Specifies the configuration for paging.
# Describes information for generating a method which transforms a paging
# list RPC into a stream of resources.
# Consists of a request and a response.
# The request specifies request information of the list method. It defines
# which fields match the paging pattern in the request. The request consists
# of a page_size_field and a token_field. The page_size_field is the name of
# the optional field specifying the maximum number of elements to be
# returned in the response. The token_field is the name of the field in the
# request containing the page token.
# The response specifies response information of the list method. It defines
# which fields match the paging pattern in the response. The response
# consists of a token_field and a resources_field. The token_field is the
# name of the field in the response containing the next page token. The
# resources_field is the name of the field in the response containing the
# list of resources belonging to the page.
#
# retry_codes_name - Specifies the configuration for retryable codes. The
# name must be defined in interfaces.retry_codes_def.
#
# retry_params_name - Specifies the configuration for retry/backoff
# parameters. The name must be defined in interfaces.retry_params_def.
#
# field_name_patterns - Maps the field name of the request type to
# entity_name of interfaces.collections.
# Specifies the string pattern that the field must follow.
#
# timeout_millis - Specifies the default timeout for a non-retrying call. If
# the call is retrying, refer to retry_params_name instead.
methods:
- name: CreateCluster
flattening:
groups:
- parameters:
- project_id
- region
- cluster
required_fields:
- project_id
- region
- cluster
retry_codes_name: non_idempotent
retry_params_name: default
timeout_millis: 30000
long_running:
return_type: google.cloud.dataproc.v1.Cluster
metadata_type: google.cloud.dataproc.v1.ClusterOperationMetadata
implements_delete: false
implements_cancel: false
initial_poll_delay_millis: 1000
poll_delay_multiplier: 2
max_poll_delay_millis: 10000
total_poll_timeout_millis: 900000
- name: UpdateCluster
flattening:
groups:
- parameters:
- project_id
- region
- cluster_name
- cluster
- update_mask
required_fields:
- project_id
- region
- cluster_name
- cluster
- update_mask
retry_codes_name: non_idempotent
retry_params_name: default
timeout_millis: 30000
long_running:
return_type: google.cloud.dataproc.v1.Cluster
metadata_type: google.cloud.dataproc.v1.ClusterOperationMetadata
implements_delete: false
implements_cancel: false
initial_poll_delay_millis: 1000
poll_delay_multiplier: 2
max_poll_delay_millis: 10000
total_poll_timeout_millis: 900000
- name: DeleteCluster
flattening:
groups:
- parameters:
- project_id
- region
- cluster_name
required_fields:
- project_id
- region
- cluster_name
retry_codes_name: non_idempotent
retry_params_name: default
timeout_millis: 30000
long_running:
return_type: google.protobuf.Empty
metadata_type: google.cloud.dataproc.v1.ClusterOperationMetadata
implements_delete: false
implements_cancel: false
initial_poll_delay_millis: 1000
poll_delay_multiplier: 2
max_poll_delay_millis: 10000
total_poll_timeout_millis: 900000
- name: GetCluster
flattening:
groups:
- parameters:
- project_id
- region
- cluster_name
required_fields:
- project_id
- region
- cluster_name
retry_codes_name: idempotent
retry_params_name: default
timeout_millis: 60000
- name: ListClusters
flattening:
groups:
- parameters:
- project_id
- region
- parameters:
- project_id
- region
- filter
required_fields:
- project_id
- region
page_streaming:
request:
page_size_field: page_size
token_field: page_token
response:
token_field: next_page_token
resources_field: clusters
retry_codes_name: idempotent
retry_params_name: default
timeout_millis: 60000
- name: DiagnoseCluster
flattening:
groups:
- parameters:
- project_id
- region
- cluster_name
required_fields:
- project_id
- region
- cluster_name
retry_codes_name: non_idempotent
retry_params_name: default
timeout_millis: 60000
long_running:
return_type: google.protobuf.Empty
metadata_type: google.cloud.dataproc.v1.DiagnoseClusterResults
implements_delete: false
implements_cancel: false
initial_poll_delay_millis: 1000
poll_delay_multiplier: 2
max_poll_delay_millis: 10000
total_poll_timeout_millis: 30000
# The fully qualified name of the API interface.
- name: google.cloud.dataproc.v1.JobController
# A list of resource collection configurations.
# Consists of a name_pattern and an entity_name.
# The name_pattern is a pattern to describe the names of the resources of this
# collection, using the platform's conventions for URI patterns. A generator
# may use this to generate methods to compose and decompose such names. The
# pattern should use named placeholders as in `shelves/{shelf}/books/{book}`;
# those will be taken as hints for the parameter names of the generated
# methods. If empty, no name methods are generated.
# The entity_name is the name to be used as a basis for generated methods and
# classes.
collections: []
# Definition for retryable codes.
retry_codes_def:
- name: idempotent
retry_codes:
- DEADLINE_EXCEEDED
- INTERNAL
- UNAVAILABLE
- name: non_idempotent
retry_codes:
- UNAVAILABLE
# Definition for retry/backoff parameters.
retry_params_def:
- name: default
initial_retry_delay_millis: 100
retry_delay_multiplier: 1.3
max_retry_delay_millis: 60000
initial_rpc_timeout_millis: 30000
rpc_timeout_multiplier: 1
max_rpc_timeout_millis: 30000
total_timeout_millis: 900000
# A list of method configurations.
# Common properties:
#
# name - The simple name of the method.
#
# flattening - Specifies the configuration for parameter flattening.
# Describes the parameter groups for which a generator should produce method
# overloads which allow a client to directly pass request message fields as
# method parameters. This information may or may not be used, depending on
# the target language.
# Consists of groups, which each represent a list of parameters to be
# flattened. Each parameter listed must be a field of the request message.
#
# required_fields - Fields that are always required for a request to be
# valid.
#
# page_streaming - Specifies the configuration for paging.
# Describes information for generating a method which transforms a paging
# list RPC into a stream of resources.
# Consists of a request and a response.
# The request specifies request information of the list method. It defines
# which fields match the paging pattern in the request. The request consists
# of a page_size_field and a token_field. The page_size_field is the name of
# the optional field specifying the maximum number of elements to be
# returned in the response. The token_field is the name of the field in the
# request containing the page token.
# The response specifies response information of the list method. It defines
# which fields match the paging pattern in the response. The response
# consists of a token_field and a resources_field. The token_field is the
# name of the field in the response containing the next page token. The
# resources_field is the name of the field in the response containing the
# list of resources belonging to the page.
#
# retry_codes_name - Specifies the configuration for retryable codes. The
# name must be defined in interfaces.retry_codes_def.
#
# retry_params_name - Specifies the configuration for retry/backoff
# parameters. The name must be defined in interfaces.retry_params_def.
#
# field_name_patterns - Maps the field name of the request type to
# entity_name of interfaces.collections.
# Specifies the string pattern that the field must follow.
#
# timeout_millis - Specifies the default timeout for a non-retrying call. If
# the call is retrying, refer to retry_params_name instead.
methods:
- name: SubmitJob
flattening:
groups:
- parameters:
- project_id
- region
- job
required_fields:
- project_id
- region
- job
retry_codes_name: non_idempotent
retry_params_name: default
timeout_millis: 30000
- name: GetJob
flattening:
groups:
- parameters:
- project_id
- region
- job_id
required_fields:
- project_id
- region
- job_id
retry_codes_name: idempotent
retry_params_name: default
timeout_millis: 30000
- name: ListJobs
flattening:
groups:
- parameters:
- project_id
- region
- parameters:
- project_id
- region
- filter
required_fields:
- project_id
- region
page_streaming:
request:
page_size_field: page_size
token_field: page_token
response:
token_field: next_page_token
resources_field: jobs
retry_codes_name: idempotent
retry_params_name: default
timeout_millis: 30000
- name: UpdateJob
required_fields:
- project_id
- region
- job_id
- job
- update_mask
retry_codes_name: non_idempotent
retry_params_name: default
timeout_millis: 30000
- name: CancelJob
flattening:
groups:
- parameters:
- project_id
- region
- job_id
required_fields:
- project_id
- region
- job_id
retry_codes_name: idempotent
retry_params_name: default
timeout_millis: 30000
- name: DeleteJob
flattening:
groups:
- parameters:
- project_id
- region
- job_id
required_fields:
- project_id
- region
- job_id
retry_codes_name: non_idempotent
retry_params_name: default
timeout_millis: 30000
# The fully qualified name of the API interface.
- name: google.cloud.dataproc.v1.WorkflowTemplateService
# A list of resource collection configurations.
# Consists of a name_pattern and an entity_name.
# The name_pattern is a pattern to describe the names of the resources of this
# collection, using the platform's conventions for URI patterns. A generator
# may use this to generate methods to compose and decompose such names. The
# pattern should use named placeholders as in `shelves/{shelf}/books/{book}`;
# those will be taken as hints for the parameter names of the generated
# methods. If empty, no name methods are generated.
# The entity_name is the name to be used as a basis for generated methods and
# classes.
collections:
- name_pattern: projects/{project}/regions/{region}
entity_name: region
- name_pattern: projects/{project}/regions/{region}/workflowTemplates/{workflow_template}
entity_name: workflow_template
# Definition for retryable codes.
retry_codes_def:
- name: idempotent
retry_codes:
- DEADLINE_EXCEEDED
- INTERNAL
- UNAVAILABLE
- name: non_idempotent
retry_codes:
- UNAVAILABLE
# Definition for retry/backoff parameters.
retry_params_def:
- name: default
initial_retry_delay_millis: 100
retry_delay_multiplier: 1.3
max_retry_delay_millis: 60000
initial_rpc_timeout_millis: 20000
rpc_timeout_multiplier: 1
max_rpc_timeout_millis: 20000
total_timeout_millis: 600000
# A list of method configurations.
# Common properties:
#
# name - The simple name of the method.
#
# flattening - Specifies the configuration for parameter flattening.
# Describes the parameter groups for which a generator should produce method
# overloads which allow a client to directly pass request message fields as
# method parameters. This information may or may not be used, depending on
# the target language.
# Consists of groups, which each represent a list of parameters to be
# flattened. Each parameter listed must be a field of the request message.
#
# required_fields - Fields that are always required for a request to be
# valid.
#
# page_streaming - Specifies the configuration for paging.
# Describes information for generating a method which transforms a paging
# list RPC into a stream of resources.
# Consists of a request and a response.
# The request specifies request information of the list method. It defines
# which fields match the paging pattern in the request. The request consists
# of a page_size_field and a token_field. The page_size_field is the name of
# the optional field specifying the maximum number of elements to be
# returned in the response. The token_field is the name of the field in the
# request containing the page token.
# The response specifies response information of the list method. It defines
# which fields match the paging pattern in the response. The response
# consists of a token_field and a resources_field. The token_field is the
# name of the field in the response containing the next page token. The
# resources_field is the name of the field in the response containing the
# list of resources belonging to the page.
#
# retry_codes_name - Specifies the configuration for retryable codes. The
# name must be defined in interfaces.retry_codes_def.
#
# retry_params_name - Specifies the configuration for retry/backoff
# parameters. The name must be defined in interfaces.retry_params_def.
#
# field_name_patterns - Maps the field name of the request type to
# entity_name of interfaces.collections.
# Specifies the string pattern that the field must follow.
#
# timeout_millis - Specifies the default timeout for a non-retrying call. If
# the call is retrying, refer to retry_params_name instead.
methods:
- name: CreateWorkflowTemplate
flattening:
groups:
- parameters:
- parent
- template
required_fields:
- parent
- template
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
parent: region
timeout_millis: 30000
- name: GetWorkflowTemplate
# params.
flattening:
groups:
- parameters:
- name
required_fields:
- name
retry_codes_name: idempotent
retry_params_name: default
field_name_patterns:
name: workflow_template
timeout_millis: 60000
- name: InstantiateWorkflowTemplate
flattening:
groups:
- parameters:
- name
- parameters:
- name
- parameters
required_fields:
- name
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
name: workflow_template
timeout_millis: 60000
long_running:
return_type: google.protobuf.Empty
metadata_type: google.cloud.dataproc.v1.WorkflowMetadata
implements_delete: false
implements_cancel: false
initial_poll_delay_millis: 1000
poll_delay_multiplier: 2
max_poll_delay_millis: 10000
total_poll_timeout_millis: 43200000
- name: InstantiateInlineWorkflowTemplate
flattening:
groups:
- parameters:
- parent
- template
required_fields:
- parent
- template
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
parent: region
timeout_millis: 60000
long_running:
return_type: google.protobuf.Empty
metadata_type: google.cloud.dataproc.v1.WorkflowMetadata
implements_delete: false
implements_cancel: false
initial_poll_delay_millis: 1000
poll_delay_multiplier: 2
max_poll_delay_millis: 10000
total_poll_timeout_millis: 43200000
- name: UpdateWorkflowTemplate
flattening:
groups:
- parameters:
- template
required_fields:
- template
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
template.name: workflow_template
timeout_millis: 60000
- name: ListWorkflowTemplates
flattening:
groups:
- parameters:
- parent
required_fields:
- parent
page_streaming:
request:
page_size_field: page_size
token_field: page_token
response:
token_field: next_page_token
resources_field: templates
retry_codes_name: idempotent
retry_params_name: default
field_name_patterns:
parent: region
timeout_millis: 60000
- name: DeleteWorkflowTemplate
flattening:
groups:
- parameters:
- name
required_fields:
- name
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
name: workflow_template
timeout_millis: 60000
resource_name_generation:
- message_name: WorkflowTemplate
field_entity_map:
name: workflow_template
- message_name: CreateWorkflowTemplateRequest
field_entity_map:
parent: region
- message_name: GetWorkflowTemplateRequest
field_entity_map:
name: workflow_template
- message_name: InstantiateWorkflowTemplateRequest
field_entity_map:
name: workflow_template
- message_name: InstantiateInlineWorkflowTemplateRequest
field_entity_map:
parent: region
- message_name: ListWorkflowTemplatesRequest
field_entity_map:
parent: region
- message_name: DeleteWorkflowTemplateRequest
field_entity_map:
name: workflow_template