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feat(dataflow): update the api
#### dataflow:v1b3 The following keys were deleted: - resources.projects.resources.catalogTemplates.methods.commit (Total Keys: 12) - resources.projects.resources.catalogTemplates.methods.delete (Total Keys: 11) - resources.projects.resources.catalogTemplates.methods.get (Total Keys: 11) - resources.projects.resources.catalogTemplates.methods.label (Total Keys: 12) - resources.projects.resources.catalogTemplates.methods.tag (Total Keys: 12) - resources.projects.resources.catalogTemplates.resources.templateVersions.methods.create (Total Keys: 12) - resources.projects.resources.templateVersions.methods.list (Total Keys: 16) - schemas.Artifact (Total Keys: 5) - schemas.CommitTemplateVersionRequest (Total Keys: 3) - schemas.CreateTemplateVersionRequest (Total Keys: 3) - schemas.Empty (Total Keys: 2) - schemas.ListTemplateVersionsResponse (Total Keys: 5) - schemas.ModifyTemplateVersionLabelRequest (Total Keys: 5) - schemas.ModifyTemplateVersionLabelResponse (Total Keys: 4) - schemas.ModifyTemplateVersionTagRequest (Total Keys: 4) - schemas.ModifyTemplateVersionTagResponse (Total Keys: 4) - schemas.TemplateVersion (Total Keys: 13) The following keys were added: - schemas.DebugOptions (Total Keys: 3) - schemas.Environment.properties.debugOptions (Total Keys: 1)
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docs/dyn/dataflow_v1b3.projects.html

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<h1><a href="dataflow_v1b3.html">Dataflow API</a> . <a href="dataflow_v1b3.projects.html">projects</a></h1>
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<h2>Instance Methods</h2>
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<p class="toc_element">
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<code><a href="dataflow_v1b3.projects.catalogTemplates.html">catalogTemplates()</a></code>
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</p>
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<p class="firstline">Returns the catalogTemplates Resource.</p>
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<p class="toc_element">
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<code><a href="dataflow_v1b3.projects.jobs.html">jobs()</a></code>
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</p>
@@ -94,11 +89,6 @@ <h2>Instance Methods</h2>
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</p>
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<p class="firstline">Returns the snapshots Resource.</p>
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<p class="toc_element">
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<code><a href="dataflow_v1b3.projects.templateVersions.html">templateVersions()</a></code>
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</p>
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<p class="firstline">Returns the templateVersions Resource.</p>
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<p class="toc_element">
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<code><a href="dataflow_v1b3.projects.templates.html">templates()</a></code>
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</p>

docs/dyn/dataflow_v1b3.projects.jobs.html

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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],
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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],
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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],
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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],
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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],
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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],
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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],

docs/dyn/dataflow_v1b3.projects.locations.flexTemplates.html

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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],

docs/dyn/dataflow_v1b3.projects.locations.jobs.html

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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],
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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],
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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],
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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],
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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],
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&quot;environment&quot;: { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
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&quot;clusterManagerApiService&quot;: &quot;A String&quot;, # The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. &quot;compute.googleapis.com&quot;.
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&quot;dataset&quot;: &quot;A String&quot;, # The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
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&quot;debugOptions&quot;: { # Describes any options that have an effect on the debugging of pipelines. # Any debugging options to be supplied to the job.
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&quot;enableHotKeyLogging&quot;: True or False, # When true, enables the logging of the literal hot key to the user&#x27;s Cloud Logging.
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},
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&quot;experiments&quot;: [ # The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options. For more details see the rationale at go/user-specified-service-options.
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&quot;A String&quot;,
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],

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