Autogenerated update (2020-06-07)

Update:
- dataproc_v1
- dataproc_v1beta2
- file_v1
- file_v1beta1
- servicecontrol_v1

generated/google/apis/dataproc_v1/classes.rb

@@ -175,11 +175,12 @@ module Google
         # @return [String]
         attr_accessor :graceful_decommission_timeout
       
-        # Required. Fraction of average pending memory in the last cooldown period for
-        # which to remove workers. A scale-down factor of 1 will result in scaling down
-        # so that there is no available memory remaining after the update (more
+        # Required. Fraction of average YARN pending memory in the last cooldown period
+        # for which to remove workers. A scale-down factor of 1 will result in scaling
+        # down so that there is no available memory remaining after the update (more
         # aggressive scaling). A scale-down factor of 0 disables removing workers, which
-        # can be beneficial for autoscaling a single job.Bounds: 0.0, 1.0.
+        # can be beneficial for autoscaling a single job. See How autoscaling works for
+        # more information.Bounds: 0.0, 1.0.
         # Corresponds to the JSON property `scaleDownFactor`
         # @return [Float]
         attr_accessor :scale_down_factor
@@ -193,11 +194,12 @@ module Google
         # @return [Float]
         attr_accessor :scale_down_min_worker_fraction
       
-        # Required. Fraction of average pending memory in the last cooldown period for
-        # which to add workers. A scale-up factor of 1.0 will result in scaling up so
-        # that there is no pending memory remaining after the update (more aggressive
+        # Required. Fraction of average YARN pending memory in the last cooldown period
+        # for which to add workers. A scale-up factor of 1.0 will result in scaling up
+        # so that there is no pending memory remaining after the update (more aggressive
         # scaling). A scale-up factor closer to 0 will result in a smaller magnitude of
-        # scaling up (less aggressive scaling).Bounds: 0.0, 1.0.
+        # scaling up (less aggressive scaling). See How autoscaling works for more
+        # information.Bounds: 0.0, 1.0.
         # Corresponds to the JSON property `scaleUpFactor`
         # @return [Float]
         attr_accessor :scale_up_factor
@@ -2528,8 +2530,8 @@ module Google
       class PySparkJob
         include Google::Apis::Core::Hashable
       
-        # Optional. HCFS URIs of archives to be extracted in the working directory of .
-        # jar, .tar, .tar.gz, .tgz, and .zip.
+        # Optional. HCFS URIs of archives to be extracted into the working directory of
+        # each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
         # Corresponds to the JSON property `archiveUris`
         # @return [Array<String>]
         attr_accessor :archive_uris
@@ -2541,8 +2543,8 @@ module Google
         # @return [Array<String>]
         attr_accessor :args
       
-        # Optional. HCFS URIs of files to be copied to the working directory of Python
-        # drivers and distributed tasks. Useful for naively parallel tasks.
+        # Optional. HCFS URIs of files to be placed in the working directory of each
+        # executor. Useful for naively parallel tasks.
         # Corresponds to the JSON property `fileUris`
         # @return [Array<String>]
         attr_accessor :file_uris
@@ -2825,9 +2827,8 @@ module Google
       class SparkJob
         include Google::Apis::Core::Hashable
       
-        # Optional. HCFS URIs of archives to be extracted in the working directory of
-        # Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .
-        # zip.
+        # Optional. HCFS URIs of archives to be extracted into the working directory of
+        # each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
         # Corresponds to the JSON property `archiveUris`
         # @return [Array<String>]
         attr_accessor :archive_uris
@@ -2839,8 +2840,8 @@ module Google
         # @return [Array<String>]
         attr_accessor :args
       
-        # Optional. HCFS URIs of files to be copied to the working directory of Spark
-        # drivers and distributed tasks. Useful for naively parallel tasks.
+        # Optional. HCFS URIs of files to be placed in the working directory of each
+        # executor. Useful for naively parallel tasks.
         # Corresponds to the JSON property `fileUris`
         # @return [Array<String>]
         attr_accessor :file_uris
@@ -2897,9 +2898,8 @@ module Google
       class SparkRJob
         include Google::Apis::Core::Hashable
       
-        # Optional. HCFS URIs of archives to be extracted in the working directory of
-        # Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .
-        # zip.
+        # Optional. HCFS URIs of archives to be extracted into the working directory of
+        # each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
         # Corresponds to the JSON property `archiveUris`
         # @return [Array<String>]
         attr_accessor :archive_uris
@@ -2911,8 +2911,8 @@ module Google
         # @return [Array<String>]
         attr_accessor :args
       
-        # Optional. HCFS URIs of files to be copied to the working directory of R
-        # drivers and distributed tasks. Useful for naively parallel tasks.
+        # Optional. HCFS URIs of files to be placed in the working directory of each
+        # executor. Useful for naively parallel tasks.
         # Corresponds to the JSON property `fileUris`
         # @return [Array<String>]
         attr_accessor :file_uris