feat(all): auto-regenerate discovery clients (#3031)

googleapis · Feb 21, 2025 · 065695b · 065695b
1 parent 8cb69d6
commit 065695b
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diff --git a/appengine/v1/appengine-api.json b/appengine/v1/appengine-api.json
@@ -1835,7 +1835,7 @@
       }
     }
   },
-  "revision": "20250210",
+  "revision": "20250217",
   "rootUrl": "https://appengine.googleapis.com/",
   "schemas": {
     "ApiConfigHandler": {
@@ -3923,7 +3923,7 @@
           "enumDescriptions": [
             "Defaults to AUTOMATIC.",
             "SSL support for this domain is configured automatically. The mapped SSL certificate will be automatically renewed.",
-            "SSL support for this domain is configured manually by the user. Either the domain has no SSL support or a user-obtained SSL certificate has been explictly mapped to this domain."
+            "SSL support for this domain is configured manually by the user. Either the domain has no SSL support or a user-obtained SSL certificate has been explicitly mapped to this domain."
           ],
           "type": "string"
         }

diff --git a/appengine/v1/appengine-gen.go b/appengine/v1/appengine-gen.go
diff --git a/appengine/v1beta/appengine-api.json b/appengine/v1beta/appengine-api.json
@@ -2035,7 +2035,7 @@
       }
     }
   },
-  "revision": "20250210",
+  "revision": "20250217",
   "rootUrl": "https://appengine.googleapis.com/",
   "schemas": {
     "ApiConfigHandler": {
@@ -4170,7 +4170,7 @@
           ],
           "enumDescriptions": [
             "SSL support for this domain is configured automatically. The mapped SSL certificate will be automatically renewed.",
-            "SSL support for this domain is configured manually by the user. Either the domain has no SSL support or a user-obtained SSL certificate has been explictly mapped to this domain."
+            "SSL support for this domain is configured manually by the user. Either the domain has no SSL support or a user-obtained SSL certificate has been explicitly mapped to this domain."
           ],
           "type": "string"
         }

diff --git a/appengine/v1beta/appengine-gen.go b/appengine/v1beta/appengine-gen.go
diff --git a/bigquery/v2/bigquery-api.json b/bigquery/v2/bigquery-api.json
@@ -351,7 +351,7 @@
               "type": "boolean"
             },
             "filter": {
-              "description": "An expression for filtering the results of the request by label. The syntax is `labels.[:]`. Multiple filters can be ANDed together by connecting with a space. Example: `labels.department:receiving labels.active`. See [Filtering datasets using labels](https://cloud.google.com/bigquery/docs/filtering-labels#filtering_datasets_using_labels) for details.",
+              "description": "An expression for filtering the results of the request by label. The syntax is `labels.[:]`. Multiple filters can be AND-ed together by connecting with a space. Example: `labels.department:receiving labels.active`. See [Filtering datasets using labels](https://cloud.google.com/bigquery/docs/filtering-labels#filtering_datasets_using_labels) for details.",
               "location": "query",
               "type": "string"
             },
@@ -2256,7 +2256,7 @@
       }
     }
   },
-  "revision": "20250128",
+  "revision": "20250216",
   "rootUrl": "https://bigquery.googleapis.com/",
   "schemas": {
     "AggregateClassificationMetrics": {
@@ -2294,7 +2294,7 @@
           "type": "number"
         },
         "threshold": {
-          "description": "Threshold at which the metrics are computed. For binary classification models this is the positive class threshold. For multi-class classfication models this is the confidence threshold.",
+          "description": "Threshold at which the metrics are computed. For binary classification models this is the positive class threshold. For multi-class classification models this is the confidence threshold.",
           "format": "double",
           "type": "number"
         }
@@ -4346,8 +4346,16 @@
           "$ref": "CsvOptions",
           "description": "Optional. Additional properties to set if sourceFormat is set to CSV."
         },
+        "dateFormat": {
+          "description": "Optional. Format used to parse DATE values. Supports C-style and SQL-style values.",
+          "type": "string"
+        },
+        "datetimeFormat": {
+          "description": "Optional. Format used to parse DATETIME values. Supports C-style and SQL-style values.",
+          "type": "string"
+        },
         "decimalTargetTypes": {
-          "description": "Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is [\"NUMERIC\", \"BIGNUMERIC\"]. If (precision,scale) is: * (38,9) -\u003e NUMERIC; * (39,9) -\u003e BIGNUMERIC (NUMERIC cannot hold 30 integer digits); * (38,10) -\u003e BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); * (76,38) -\u003e BIGNUMERIC; * (77,38) -\u003e BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, [\"BIGNUMERIC\", \"NUMERIC\"] is the same as [\"NUMERIC\", \"BIGNUMERIC\"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to [\"NUMERIC\", \"STRING\"] for ORC and [\"NUMERIC\"] for the other file formats.",
+          "description": "Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is [\"NUMERIC\", \"BIGNUMERIC\"]. If (precision,scale) is: * (38,9) -\u003e NUMERIC; * (39,9) -\u003e BIGNUMERIC (NUMERIC cannot hold 30 integer digits); * (38,10) -\u003e BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); * (76,38) -\u003e BIGNUMERIC; * (77,38) -\u003e BIGNUMERIC (error if value exceeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, [\"BIGNUMERIC\", \"NUMERIC\"] is the same as [\"NUMERIC\", \"BIGNUMERIC\"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to [\"NUMERIC\", \"STRING\"] for ORC and [\"NUMERIC\"] for the other file formats.",
           "items": {
             "enum": [
               "DECIMAL_TARGET_TYPE_UNSPECIFIED",
@@ -4396,7 +4404,7 @@
             "GEOJSON"
           ],
           "enumDescriptions": [
-            "The default if provided value is not one included in the enum, or the value is not specified. The source formate is parsed without any modification.",
+            "The default if provided value is not one included in the enum, or the value is not specified. The source format is parsed without any modification.",
             "Use GeoJSON variant of JSON. See https://tools.ietf.org/html/rfc7946."
           ],
           "type": "string"
@@ -4460,6 +4468,18 @@
             "type": "string"
           },
           "type": "array"
+        },
+        "timeFormat": {
+          "description": "Optional. Format used to parse TIME values. Supports C-style and SQL-style values.",
+          "type": "string"
+        },
+        "timeZone": {
+          "description": "Optional. Time zone used when parsing timestamp values that do not have specific time zone information (e.g. 2024-04-20 12:34:56). The expected format is a IANA timezone string (e.g. America/Los_Angeles).",
+          "type": "string"
+        },
+        "timestampFormat": {
+          "description": "Optional. Format used to parse TIMESTAMP values. Supports C-style and SQL-style values.",
+          "type": "string"
         }
       },
       "type": "object"
@@ -5360,8 +5380,16 @@
           "description": "Optional. If this property is true, the job creates a new session using a randomly generated session_id. To continue using a created session with subsequent queries, pass the existing session identifier as a `ConnectionProperty` value. The session identifier is returned as part of the `SessionInfo` message within the query statistics. The new session's location will be set to `Job.JobReference.location` if it is present, otherwise it's set to the default location based on existing routing logic.",
           "type": "boolean"
         },
+        "dateFormat": {
+          "description": "Optional. Date format used for parsing DATE values.",
+          "type": "string"
+        },
+        "datetimeFormat": {
+          "description": "Optional. Date format used for parsing DATETIME values.",
+          "type": "string"
+        },
         "decimalTargetTypes": {
-          "description": "Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is [\"NUMERIC\", \"BIGNUMERIC\"]. If (precision,scale) is: * (38,9) -\u003e NUMERIC; * (39,9) -\u003e BIGNUMERIC (NUMERIC cannot hold 30 integer digits); * (38,10) -\u003e BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); * (76,38) -\u003e BIGNUMERIC; * (77,38) -\u003e BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, [\"BIGNUMERIC\", \"NUMERIC\"] is the same as [\"NUMERIC\", \"BIGNUMERIC\"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to [\"NUMERIC\", \"STRING\"] for ORC and [\"NUMERIC\"] for the other file formats.",
+          "description": "Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is [\"NUMERIC\", \"BIGNUMERIC\"]. If (precision,scale) is: * (38,9) -\u003e NUMERIC; * (39,9) -\u003e BIGNUMERIC (NUMERIC cannot hold 30 integer digits); * (38,10) -\u003e BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); * (76,38) -\u003e BIGNUMERIC; * (77,38) -\u003e BIGNUMERIC (error if value exceeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, [\"BIGNUMERIC\", \"NUMERIC\"] is the same as [\"NUMERIC\", \"BIGNUMERIC\"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to [\"NUMERIC\", \"STRING\"] for ORC and [\"NUMERIC\"] for the other file formats.",
           "items": {
             "enum": [
               "DECIMAL_TARGET_TYPE_UNSPECIFIED",
@@ -5426,7 +5454,7 @@
             "GEOJSON"
           ],
           "enumDescriptions": [
-            "The default if provided value is not one included in the enum, or the value is not specified. The source formate is parsed without any modification.",
+            "The default if provided value is not one included in the enum, or the value is not specified. The source format is parsed without any modification.",
             "Use GeoJSON variant of JSON. See https://tools.ietf.org/html/rfc7946."
           ],
           "type": "string"
@@ -5504,10 +5532,22 @@
           },
           "type": "array"
         },
+        "timeFormat": {
+          "description": "Optional. Date format used for parsing TIME values.",
+          "type": "string"
+        },
         "timePartitioning": {
           "$ref": "TimePartitioning",
           "description": "Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified."
         },
+        "timeZone": {
+          "description": "Optional. [Experimental] Default time zone that will apply when parsing timestamp values that have no specific time zone.",
+          "type": "string"
+        },
+        "timestampFormat": {
+          "description": "Optional. Date format used for parsing TIMESTAMP values.",
+          "type": "string"
+        },
         "useAvroLogicalTypes": {
           "description": "Optional. If sourceFormat is set to \"AVRO\", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).",
           "type": "boolean"
@@ -6701,7 +6741,7 @@
       "type": "object"
     },
     "MetadataCacheStatistics": {
-      "description": "Statistics for metadata caching in BigLake tables.",
+      "description": "Statistics for metadata caching in queried tables.",
       "id": "MetadataCacheStatistics",
       "properties": {
         "tableMetadataCacheUsage": {
@@ -7453,6 +7493,10 @@
           "$ref": "DatasetReference",
           "description": "Optional. Specifies the default datasetId and projectId to assume for any unqualified table names in the query. If not set, all table names in the query string must be qualified in the format 'datasetId.tableId'."
         },
+        "destinationEncryptionConfiguration": {
+          "$ref": "EncryptionConfiguration",
+          "description": "Optional. Custom encryption configuration (e.g., Cloud KMS keys)"
+        },
         "dryRun": {
           "description": "Optional. If set to true, BigQuery doesn't run the job. Instead, if the query is valid, BigQuery returns statistics about the job such as how many bytes would be processed. If the query is invalid, an error returns. The default value is false.",
           "type": "boolean"
@@ -7475,6 +7519,11 @@
           ],
           "type": "string"
         },
+        "jobTimeoutMs": {
+          "description": "Optional. Job timeout in milliseconds. If this time limit is exceeded, BigQuery will attempt to stop a longer job, but may not always succeed in canceling it before the job completes. For example, a job that takes more than 60 seconds to complete has a better chance of being stopped than a job that takes 10 seconds to complete. This timeout applies to the query even if a job does not need to be created.",
+          "format": "int64",
+          "type": "string"
+        },
         "kind": {
           "default": "bigquery#queryRequest",
           "description": "The resource type of the request.",
@@ -9470,7 +9519,7 @@
                 "properties": {
                   "privacyPolicy": {
                     "$ref": "PrivacyPolicy",
-                    "description": "Specifices the privacy policy for the view."
+                    "description": "Specifies the privacy policy for the view."
                   },
                   "useLegacySql": {
                     "description": "True if view is defined in legacy SQL dialect, false if in GoogleSQL.",
@@ -10085,7 +10134,7 @@
             "Ukraine",
             "United States",
             "Venezuela",
-            "Viet Nam",
+            "Vietnam",
             "South Africa"
           ],
           "type": "string"
@@ -10232,7 +10281,7 @@
               "Ukraine",
               "United States",
               "Venezuela",
-              "Viet Nam",
+              "Vietnam",
               "South Africa"
             ],
             "type": "string"
@@ -10278,7 +10327,7 @@
               "Recall is the fraction of actual positive labels that were given a positive prediction. For multiclass this is a macro-averaged metric.",
               "Accuracy is the fraction of predictions given the correct label. For multiclass this is a globally micro-averaged metric.",
               "The F1 score is an average of recall and precision. For multiclass this is a macro-averaged metric.",
-              "Logorithmic Loss. For multiclass this is a macro-averaged metric.",
+              "Logarithmic Loss. For multiclass this is a macro-averaged metric.",
               "Area Under an ROC Curve. For multiclass this is a macro-averaged metric.",
               "Davies-Bouldin Index.",
               "Mean Average Precision.",
@@ -10799,7 +10848,7 @@
         },
         "privacyPolicy": {
           "$ref": "PrivacyPolicy",
-          "description": "Optional. Specifices the privacy policy for the view."
+          "description": "Optional. Specifies the privacy policy for the view."
         },
         "query": {
           "description": "Required. A query that BigQuery executes when the view is referenced.",