feat(dataplex): update the api

#### dataplex:v1 The following keys were added: - schemas.GoogleCloudDataplexV1DataScan.properties.executionStatus (Total Keys: 2) - schemas.GoogleCloudDataplexV1DataScanExecutionStatus (Total Keys: 6) - schemas.GoogleCloudDataplexV1StorageFormat.properties.iceberg.$ref (Total Keys: 1) - schemas.GoogleCloudDataplexV1StorageFormatIcebergOptions (Total Keys: 3)
googleapis · Dec 6, 2022 · 714d395 · 714d395
1 parent 93233da
commit 714d395
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Showing 4 changed files with 87 additions and 16 deletions.
diff --git a/docs/dyn/dataplex_v1.projects.locations.dataScans.html b/docs/dyn/dataplex_v1.projects.locations.dataScans.html
@@ -235,7 +235,7 @@ <h3>Method Details</h3>
           &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
             &quot;sqlExpression&quot;: &quot;A String&quot;,
           },
-          &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+          &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, 1.00 indicates default value (i.e. 1.0)
           &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
           },
         },
@@ -284,7 +284,7 @@ <h3>Method Details</h3>
         &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
           &quot;sqlExpression&quot;: &quot;A String&quot;,
         },
-        &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+        &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, 1.00 indicates default value (i.e. 1.0)
         &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
         },
       },
@@ -302,6 +302,10 @@ <h3>Method Details</h3>
       },
     },
   },
+  &quot;executionStatus&quot;: { # Status of the data scan execution. # Output only. Status of the data scan execution.
+    &quot;latestJobEndTime&quot;: &quot;A String&quot;, # The time when the latest DataScanJob ended.
+    &quot;latestJobStartTime&quot;: &quot;A String&quot;, # The time when the latest DataScanJob started.
+  },
   &quot;labels&quot;: { # Optional. User-defined labels for the scan.
     &quot;a_key&quot;: &quot;A String&quot;,
   },
@@ -504,7 +508,7 @@ <h3>Method Details</h3>
           &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
             &quot;sqlExpression&quot;: &quot;A String&quot;,
           },
-          &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+          &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, 1.00 indicates default value (i.e. 1.0)
           &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
           },
         },
@@ -553,7 +557,7 @@ <h3>Method Details</h3>
         &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
           &quot;sqlExpression&quot;: &quot;A String&quot;,
         },
-        &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+        &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, 1.00 indicates default value (i.e. 1.0)
         &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
         },
       },
@@ -571,6 +575,10 @@ <h3>Method Details</h3>
       },
     },
   },
+  &quot;executionStatus&quot;: { # Status of the data scan execution. # Output only. Status of the data scan execution.
+    &quot;latestJobEndTime&quot;: &quot;A String&quot;, # The time when the latest DataScanJob ended.
+    &quot;latestJobStartTime&quot;: &quot;A String&quot;, # The time when the latest DataScanJob started.
+  },
   &quot;labels&quot;: { # Optional. User-defined labels for the scan.
     &quot;a_key&quot;: &quot;A String&quot;,
   },
@@ -758,7 +766,7 @@ <h3>Method Details</h3>
               &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
                 &quot;sqlExpression&quot;: &quot;A String&quot;,
               },
-              &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+              &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, 1.00 indicates default value (i.e. 1.0)
               &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
               },
             },
@@ -807,7 +815,7 @@ <h3>Method Details</h3>
             &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
               &quot;sqlExpression&quot;: &quot;A String&quot;,
             },
-            &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+            &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, 1.00 indicates default value (i.e. 1.0)
             &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
             },
           },
@@ -825,6 +833,10 @@ <h3>Method Details</h3>
           },
         },
       },
+      &quot;executionStatus&quot;: { # Status of the data scan execution. # Output only. Status of the data scan execution.
+        &quot;latestJobEndTime&quot;: &quot;A String&quot;, # The time when the latest DataScanJob ended.
+        &quot;latestJobStartTime&quot;: &quot;A String&quot;, # The time when the latest DataScanJob started.
+      },
       &quot;labels&quot;: { # Optional. User-defined labels for the scan.
         &quot;a_key&quot;: &quot;A String&quot;,
       },
@@ -973,7 +985,7 @@ <h3>Method Details</h3>
           &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
             &quot;sqlExpression&quot;: &quot;A String&quot;,
           },
-          &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+          &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, 1.00 indicates default value (i.e. 1.0)
           &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
           },
         },
@@ -1022,7 +1034,7 @@ <h3>Method Details</h3>
         &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
           &quot;sqlExpression&quot;: &quot;A String&quot;,
         },
-        &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+        &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, 1.00 indicates default value (i.e. 1.0)
         &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
         },
       },
@@ -1040,6 +1052,10 @@ <h3>Method Details</h3>
       },
     },
   },
+  &quot;executionStatus&quot;: { # Status of the data scan execution. # Output only. Status of the data scan execution.
+    &quot;latestJobEndTime&quot;: &quot;A String&quot;, # The time when the latest DataScanJob ended.
+    &quot;latestJobStartTime&quot;: &quot;A String&quot;, # The time when the latest DataScanJob started.
+  },
   &quot;labels&quot;: { # Optional. User-defined labels for the scan.
     &quot;a_key&quot;: &quot;A String&quot;,
   },
@@ -1205,7 +1221,7 @@ <h3>Method Details</h3>
             &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
               &quot;sqlExpression&quot;: &quot;A String&quot;,
             },
-            &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+            &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, 1.00 indicates default value (i.e. 1.0)
             &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
             },
           },
@@ -1254,7 +1270,7 @@ <h3>Method Details</h3>
           &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
             &quot;sqlExpression&quot;: &quot;A String&quot;,
           },
-          &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+          &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, 1.00 indicates default value (i.e. 1.0)
           &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
           },
         },

diff --git a/docs/dyn/dataplex_v1.projects.locations.dataScans.jobs.html b/docs/dyn/dataplex_v1.projects.locations.dataScans.jobs.html
@@ -215,7 +215,7 @@ <h3>Method Details</h3>
           &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
             &quot;sqlExpression&quot;: &quot;A String&quot;,
           },
-          &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+          &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, 1.00 indicates default value (i.e. 1.0)
           &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
           },
         },
@@ -264,7 +264,7 @@ <h3>Method Details</h3>
         &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
           &quot;sqlExpression&quot;: &quot;A String&quot;,
         },
-        &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+        &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, 1.00 indicates default value (i.e. 1.0)
         &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
         },
       },
@@ -402,7 +402,7 @@ <h3>Method Details</h3>
               &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
                 &quot;sqlExpression&quot;: &quot;A String&quot;,
               },
-              &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+              &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, 1.00 indicates default value (i.e. 1.0)
               &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
               },
             },
@@ -451,7 +451,7 @@ <h3>Method Details</h3>
             &quot;tableConditionExpectation&quot;: { # Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) &gt;= 0 # Table rule which evaluates whether the provided expression is true.
               &quot;sqlExpression&quot;: &quot;A String&quot;,
             },
-            &quot;threshold&quot;: 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+            &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, 1.00 indicates default value (i.e. 1.0)
             &quot;uniquenessExpectation&quot;: { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
             },
           },