feat(dataflow): update the api

#### dataflow:v1b3

The following keys were added:
- schemas.SdkHarnessContainerImage.properties.capabilities (Total Keys: 2)
- schemas.SendDebugCaptureRequest.properties.dataFormat.type (Total Keys: 1)

Author: yoshi-automation

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

@@ -128,9 +128,10 @@ <h3>Method Details</h3>
   body: object, The request body.
     The object takes the form of:
 
-{ # Request to send encoded debug information.
+{ # Request to send encoded debug information. Next ID: 8
   &quot;componentId&quot;: &quot;A String&quot;, # The internal component id for which debug information is sent.
   &quot;data&quot;: &quot;A String&quot;, # The encoded debug information.
+  &quot;dataFormat&quot;: &quot;A String&quot;, # Format for the data field above (id=5).
   &quot;location&quot;: &quot;A String&quot;, # The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) that contains the job specified by job_id.
   &quot;workerId&quot;: &quot;A String&quot;, # The worker id, i.e., VM hostname.
 }

docs/dyn/dataflow_v1b3.projects.jobs.html

@@ -229,6 +229,9 @@ <h3>Method Details</h3>
             },
             &quot;sdkHarnessContainerImages&quot;: [ # Set of SDK harness containers needed to execute this pipeline. This will only be set in the Fn API path. For non-cross-language pipelines this should have only one entry. Cross-language pipelines will have two or more entries.
               { # Defines a SDK harness container for executing Dataflow pipelines.
+                &quot;capabilities&quot;: [ # The set of capabilities enumerated in the above Environment proto. See also https://github.com/apache/beam/blob/master/model/pipeline/src/main/proto/beam_runner_api.proto
+                  &quot;A String&quot;,
+                ],
                 &quot;containerImage&quot;: &quot;A String&quot;, # A docker container image that resides in Google Container Registry.
                 &quot;environmentId&quot;: &quot;A String&quot;, # Environment ID for the Beam runner API proto Environment that corresponds to the current SDK Harness.
                 &quot;useSingleCorePerContainer&quot;: True or False, # If true, recommends the Dataflow service to use only one core per SDK container instance with this image. If false (or unset) recommends using more than one core per SDK container instance with this image for efficiency. Note that Dataflow service may choose to override this property if needed.
@@ -558,6 +561,9 @@ <h3>Method Details</h3>
         },
         &quot;sdkHarnessContainerImages&quot;: [ # Set of SDK harness containers needed to execute this pipeline. This will only be set in the Fn API path. For non-cross-language pipelines this should have only one entry. Cross-language pipelines will have two or more entries.
           { # Defines a SDK harness container for executing Dataflow pipelines.
+            &quot;capabilities&quot;: [ # The set of capabilities enumerated in the above Environment proto. See also https://github.com/apache/beam/blob/master/model/pipeline/src/main/proto/beam_runner_api.proto
+              &quot;A String&quot;,
+            ],
             &quot;containerImage&quot;: &quot;A String&quot;, # A docker container image that resides in Google Container Registry.
             &quot;environmentId&quot;: &quot;A String&quot;, # Environment ID for the Beam runner API proto Environment that corresponds to the current SDK Harness.
             &quot;useSingleCorePerContainer&quot;: True or False, # If true, recommends the Dataflow service to use only one core per SDK container instance with this image. If false (or unset) recommends using more than one core per SDK container instance with this image for efficiency. Note that Dataflow service may choose to override this property if needed.
@@ -871,6 +877,9 @@ <h3>Method Details</h3>
         },
         &quot;sdkHarnessContainerImages&quot;: [ # Set of SDK harness containers needed to execute this pipeline. This will only be set in the Fn API path. For non-cross-language pipelines this should have only one entry. Cross-language pipelines will have two or more entries.
           { # Defines a SDK harness container for executing Dataflow pipelines.
+            &quot;capabilities&quot;: [ # The set of capabilities enumerated in the above Environment proto. See also https://github.com/apache/beam/blob/master/model/pipeline/src/main/proto/beam_runner_api.proto
+              &quot;A String&quot;,
+            ],
             &quot;containerImage&quot;: &quot;A String&quot;, # A docker container image that resides in Google Container Registry.
             &quot;environmentId&quot;: &quot;A String&quot;, # Environment ID for the Beam runner API proto Environment that corresponds to the current SDK Harness.
             &quot;useSingleCorePerContainer&quot;: True or False, # If true, recommends the Dataflow service to use only one core per SDK container instance with this image. If false (or unset) recommends using more than one core per SDK container instance with this image for efficiency. Note that Dataflow service may choose to override this property if needed.
@@ -1191,6 +1200,9 @@ <h3>Method Details</h3>
         },
         &quot;sdkHarnessContainerImages&quot;: [ # Set of SDK harness containers needed to execute this pipeline. This will only be set in the Fn API path. For non-cross-language pipelines this should have only one entry. Cross-language pipelines will have two or more entries.
           { # Defines a SDK harness container for executing Dataflow pipelines.
+            &quot;capabilities&quot;: [ # The set of capabilities enumerated in the above Environment proto. See also https://github.com/apache/beam/blob/master/model/pipeline/src/main/proto/beam_runner_api.proto
+              &quot;A String&quot;,
+            ],
             &quot;containerImage&quot;: &quot;A String&quot;, # A docker container image that resides in Google Container Registry.
             &quot;environmentId&quot;: &quot;A String&quot;, # Environment ID for the Beam runner API proto Environment that corresponds to the current SDK Harness.
             &quot;useSingleCorePerContainer&quot;: True or False, # If true, recommends the Dataflow service to use only one core per SDK container instance with this image. If false (or unset) recommends using more than one core per SDK container instance with this image for efficiency. Note that Dataflow service may choose to override this property if needed.
@@ -1568,6 +1580,9 @@ <h3>Method Details</h3>
             },
             &quot;sdkHarnessContainerImages&quot;: [ # Set of SDK harness containers needed to execute this pipeline. This will only be set in the Fn API path. For non-cross-language pipelines this should have only one entry. Cross-language pipelines will have two or more entries.
               { # Defines a SDK harness container for executing Dataflow pipelines.
+                &quot;capabilities&quot;: [ # The set of capabilities enumerated in the above Environment proto. See also https://github.com/apache/beam/blob/master/model/pipeline/src/main/proto/beam_runner_api.proto
+                  &quot;A String&quot;,
+                ],
                 &quot;containerImage&quot;: &quot;A String&quot;, # A docker container image that resides in Google Container Registry.
                 &quot;environmentId&quot;: &quot;A String&quot;, # Environment ID for the Beam runner API proto Environment that corresponds to the current SDK Harness.
                 &quot;useSingleCorePerContainer&quot;: True or False, # If true, recommends the Dataflow service to use only one core per SDK container instance with this image. If false (or unset) recommends using more than one core per SDK container instance with this image for efficiency. Note that Dataflow service may choose to override this property if needed.
@@ -1938,6 +1953,9 @@ <h3>Method Details</h3>
         },
         &quot;sdkHarnessContainerImages&quot;: [ # Set of SDK harness containers needed to execute this pipeline. This will only be set in the Fn API path. For non-cross-language pipelines this should have only one entry. Cross-language pipelines will have two or more entries.
           { # Defines a SDK harness container for executing Dataflow pipelines.
+            &quot;capabilities&quot;: [ # The set of capabilities enumerated in the above Environment proto. See also https://github.com/apache/beam/blob/master/model/pipeline/src/main/proto/beam_runner_api.proto
+              &quot;A String&quot;,
+            ],
             &quot;containerImage&quot;: &quot;A String&quot;, # A docker container image that resides in Google Container Registry.
             &quot;environmentId&quot;: &quot;A String&quot;, # Environment ID for the Beam runner API proto Environment that corresponds to the current SDK Harness.
             &quot;useSingleCorePerContainer&quot;: True or False, # If true, recommends the Dataflow service to use only one core per SDK container instance with this image. If false (or unset) recommends using more than one core per SDK container instance with this image for efficiency. Note that Dataflow service may choose to override this property if needed.
@@ -2244,6 +2262,9 @@ <h3>Method Details</h3>
         },
         &quot;sdkHarnessContainerImages&quot;: [ # Set of SDK harness containers needed to execute this pipeline. This will only be set in the Fn API path. For non-cross-language pipelines this should have only one entry. Cross-language pipelines will have two or more entries.
           { # Defines a SDK harness container for executing Dataflow pipelines.
+            &quot;capabilities&quot;: [ # The set of capabilities enumerated in the above Environment proto. See also https://github.com/apache/beam/blob/master/model/pipeline/src/main/proto/beam_runner_api.proto
+              &quot;A String&quot;,
+            ],
             &quot;containerImage&quot;: &quot;A String&quot;, # A docker container image that resides in Google Container Registry.
             &quot;environmentId&quot;: &quot;A String&quot;, # Environment ID for the Beam runner API proto Environment that corresponds to the current SDK Harness.
             &quot;useSingleCorePerContainer&quot;: True or False, # If true, recommends the Dataflow service to use only one core per SDK container instance with this image. If false (or unset) recommends using more than one core per SDK container instance with this image for efficiency. Note that Dataflow service may choose to override this property if needed.

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

@@ -280,6 +280,9 @@ <h3>Method Details</h3>
           },
           &quot;sdkHarnessContainerImages&quot;: [ # Set of SDK harness containers needed to execute this pipeline. This will only be set in the Fn API path. For non-cross-language pipelines this should have only one entry. Cross-language pipelines will have two or more entries.
             { # Defines a SDK harness container for executing Dataflow pipelines.
+              &quot;capabilities&quot;: [ # The set of capabilities enumerated in the above Environment proto. See also https://github.com/apache/beam/blob/master/model/pipeline/src/main/proto/beam_runner_api.proto
+                &quot;A String&quot;,
+              ],
               &quot;containerImage&quot;: &quot;A String&quot;, # A docker container image that resides in Google Container Registry.
               &quot;environmentId&quot;: &quot;A String&quot;, # Environment ID for the Beam runner API proto Environment that corresponds to the current SDK Harness.
               &quot;useSingleCorePerContainer&quot;: True or False, # If true, recommends the Dataflow service to use only one core per SDK container instance with this image. If false (or unset) recommends using more than one core per SDK container instance with this image for efficiency. Note that Dataflow service may choose to override this property if needed.

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

@@ -130,9 +130,10 @@ <h3>Method Details</h3>
   body: object, The request body.
     The object takes the form of:
 
-{ # Request to send encoded debug information.
+{ # Request to send encoded debug information. Next ID: 8
   &quot;componentId&quot;: &quot;A String&quot;, # The internal component id for which debug information is sent.
   &quot;data&quot;: &quot;A String&quot;, # The encoded debug information.
+  &quot;dataFormat&quot;: &quot;A String&quot;, # Format for the data field above (id=5).
   &quot;location&quot;: &quot;A String&quot;, # The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) that contains the job specified by job_id.
   &quot;workerId&quot;: &quot;A String&quot;, # The worker id, i.e., VM hostname.
 }