feat(dataplex): update the api

#### dataplex:v1

The following keys were added:
- schemas.GoogleCloudDataplexV1DataScanEvent.properties.createTime (Total Keys: 2)

Author: yoshi-automation

docs/dyn/dataplex_v1.projects.locations.dataScans.html

@@ -252,7 +252,7 @@ <h3>Method Details</h3>
             &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
           },
           &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-          &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+          &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
           },
         },
       },
@@ -304,7 +304,7 @@ <h3>Method Details</h3>
           &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
         },
         &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-        &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+        &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
         },
       },
     ],
@@ -546,7 +546,7 @@ <h3>Method Details</h3>
             &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
           },
           &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-          &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+          &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
           },
         },
       },
@@ -598,7 +598,7 @@ <h3>Method Details</h3>
           &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
         },
         &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-        &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+        &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
         },
       },
     ],
@@ -824,7 +824,7 @@ <h3>Method Details</h3>
                 &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
               },
               &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-              &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+              &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
               },
             },
           },
@@ -876,7 +876,7 @@ <h3>Method Details</h3>
               &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
             },
             &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-            &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+            &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
             },
           },
         ],
@@ -1063,7 +1063,7 @@ <h3>Method Details</h3>
             &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
           },
           &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-          &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+          &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
           },
         },
       },
@@ -1115,7 +1115,7 @@ <h3>Method Details</h3>
           &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
         },
         &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-        &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+        &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
         },
       },
     ],
@@ -1319,7 +1319,7 @@ <h3>Method Details</h3>
               &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
             },
             &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-            &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+            &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
             },
           },
         },
@@ -1371,7 +1371,7 @@ <h3>Method Details</h3>
             &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
           },
           &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-          &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+          &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
           },
         },
       ],

docs/dyn/dataplex_v1.projects.locations.dataScans.jobs.html

@@ -231,7 +231,7 @@ <h3>Method Details</h3>
             &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
           },
           &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-          &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+          &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
           },
         },
       },
@@ -283,7 +283,7 @@ <h3>Method Details</h3>
           &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
         },
         &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-        &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+        &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
         },
       },
     ],
@@ -438,7 +438,7 @@ <h3>Method Details</h3>
                 &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
               },
               &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-              &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+              &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
               },
             },
           },
@@ -490,7 +490,7 @@ <h3>Method Details</h3>
               &quot;sqlExpression&quot;: &quot;A String&quot;, # The SQL expression.
             },
             &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).This field is only valid for row-level type rules.
-            &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Aggregate rule which evaluates whether the column has duplicates.
+            &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # Row-level rule which evaluates whether each column value is unique.
             },
           },
         ],

googleapiclient/discovery_cache/documents/dataplex.v1.json

@@ -4269,7 +4269,7 @@
       }
     }
   },
-  "revision": "20230709",
+  "revision": "20230712",
   "rootUrl": "https://dataplex.googleapis.com/",
   "schemas": {
     "Empty": {
@@ -5464,7 +5464,7 @@
         },
         "uniquenessExpectation": {
           "$ref": "GoogleCloudDataplexV1DataQualityRuleUniquenessExpectation",
-          "description": "Aggregate rule which evaluates whether the column has duplicates."
+          "description": "Row-level rule which evaluates whether each column value is unique."
         }
       },
       "type": "object"
@@ -5863,9 +5863,14 @@
       "type": "object"
     },
     "GoogleCloudDataplexV1DataScanEvent": {
-      "description": "These messages contain information about the execution of a datascan. The monitored resource is 'DataScan'",
+      "description": "These messages contain information about the execution of a datascan. The monitored resource is 'DataScan' Next ID: 13",
       "id": "GoogleCloudDataplexV1DataScanEvent",
       "properties": {
+        "createTime": {
+          "description": "The time when the data scan job was created.",
+          "format": "google-datetime",
+          "type": "string"
+        },
         "dataProfile": {
           "$ref": "GoogleCloudDataplexV1DataScanEventDataProfileResult",
           "description": "Data profile result for data profile type data scan."
@@ -5933,14 +5938,16 @@
             "STARTED",
             "SUCCEEDED",
             "FAILED",
-            "CANCELLED"
+            "CANCELLED",
+            "CREATED"
           ],
           "enumDescriptions": [
             "Unspecified job state.",
-            "Data scan started.",
-            "Data scan successfully completed.",
-            "Data scan was unsuccessful.",
-            "Data scan was cancelled."
+            "Data scan job started.",
+            "Data scan job successfully completed.",
+            "Data scan job was unsuccessful.",
+            "Data scan job was cancelled.",
+            "Data scan job was createed."
           ],
           "type": "string"
         },