feat(dataplex): update the api

#### dataplex:v1 The following keys were added: - schemas.GoogleCloudDataplexV1DataQualityColumnResult (Total Keys: 7) - schemas.GoogleCloudDataplexV1DataQualityDimensionResult.properties.score (Total Keys: 3) - schemas.GoogleCloudDataplexV1DataQualityResult.properties.columns (Total Keys: 3) - schemas.GoogleCloudDataplexV1DataQualityResult.properties.score (Total Keys: 3)
googleapis · Dec 7, 2023 · 5ae3e13 · 5ae3e13
1 parent 3064343
commit 5ae3e13
Show file tree

Hide file tree

Showing 3 changed files with 99 additions and 3 deletions.
diff --git a/docs/dyn/dataplex_v1.projects.locations.dataScans.html b/docs/dyn/dataplex_v1.projects.locations.dataScans.html
@@ -212,12 +212,19 @@ <h3>Method Details</h3>
     &quot;samplingPercent&quot;: 3.14, # Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.
   },
   &quot;dataQualityResult&quot;: { # The output of a DataQualityScan. # Output only. The result of the data quality scan.
+    &quot;columns&quot;: [ # Output only. A list of results at the column level.A column will have a corresponding DataQualityColumnResult if and only if there is at least one rule with the &#x27;column&#x27; field set to it.
+      { # DataQualityColumnResult provides a more detailed, per-column view of the results.
+        &quot;column&quot;: &quot;A String&quot;, # Output only. The column specified in the DataQualityRule.
+        &quot;score&quot;: 3.14, # Output only. The column-level data quality score for this data scan job if and only if the &#x27;column&#x27; field is set.The score ranges between between 0, 100 (up to two decimal points).
+      },
+    ],
     &quot;dimensions&quot;: [ # A list of results at the dimension level.A dimension will have a corresponding DataQualityDimensionResult if and only if there is at least one rule with the &#x27;dimension&#x27; field set to it.
       { # DataQualityDimensionResult provides a more detailed, per-dimension view of the results.
         &quot;dimension&quot;: { # A dimension captures data quality intent about a defined subset of the rules specified. # Output only. The dimension config specified in the DataQualitySpec, as is.
           &quot;name&quot;: &quot;A String&quot;, # The dimension name a rule belongs to. Supported dimensions are &quot;COMPLETENESS&quot;, &quot;ACCURACY&quot;, &quot;CONSISTENCY&quot;, &quot;VALIDITY&quot;, &quot;UNIQUENESS&quot;, &quot;INTEGRITY&quot;
         },
         &quot;passed&quot;: True or False, # Whether the dimension passed or failed.
+        &quot;score&quot;: 3.14, # Output only. The dimension-level data quality score for this data scan job if and only if the &#x27;dimension&#x27; field is set.The score ranges between 0, 100 (up to two decimal points).
       },
     ],
     &quot;passed&quot;: True or False, # Overall data quality result -- true if all rules passed.
@@ -284,6 +291,7 @@ <h3>Method Details</h3>
         &quot;start&quot;: &quot;A String&quot;, # Value that marks the start of the range.
       },
     },
+    &quot;score&quot;: 3.14, # Output only. The overall data quality score.The score ranges between 0, 100 (up to two decimal points).
   },
   &quot;dataQualitySpec&quot;: { # DataQualityScan related setting. # DataQualityScan related setting.
     &quot;postScanActions&quot;: { # The configuration of post scan actions of DataQualityScan. # Optional. Actions to take upon job completion.
@@ -531,12 +539,19 @@ <h3>Method Details</h3>
     &quot;samplingPercent&quot;: 3.14, # Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.
   },
   &quot;dataQualityResult&quot;: { # The output of a DataQualityScan. # Output only. The result of the data quality scan.
+    &quot;columns&quot;: [ # Output only. A list of results at the column level.A column will have a corresponding DataQualityColumnResult if and only if there is at least one rule with the &#x27;column&#x27; field set to it.
+      { # DataQualityColumnResult provides a more detailed, per-column view of the results.
+        &quot;column&quot;: &quot;A String&quot;, # Output only. The column specified in the DataQualityRule.
+        &quot;score&quot;: 3.14, # Output only. The column-level data quality score for this data scan job if and only if the &#x27;column&#x27; field is set.The score ranges between between 0, 100 (up to two decimal points).
+      },
+    ],
     &quot;dimensions&quot;: [ # A list of results at the dimension level.A dimension will have a corresponding DataQualityDimensionResult if and only if there is at least one rule with the &#x27;dimension&#x27; field set to it.
       { # DataQualityDimensionResult provides a more detailed, per-dimension view of the results.
         &quot;dimension&quot;: { # A dimension captures data quality intent about a defined subset of the rules specified. # Output only. The dimension config specified in the DataQualitySpec, as is.
           &quot;name&quot;: &quot;A String&quot;, # The dimension name a rule belongs to. Supported dimensions are &quot;COMPLETENESS&quot;, &quot;ACCURACY&quot;, &quot;CONSISTENCY&quot;, &quot;VALIDITY&quot;, &quot;UNIQUENESS&quot;, &quot;INTEGRITY&quot;
         },
         &quot;passed&quot;: True or False, # Whether the dimension passed or failed.
+        &quot;score&quot;: 3.14, # Output only. The dimension-level data quality score for this data scan job if and only if the &#x27;dimension&#x27; field is set.The score ranges between 0, 100 (up to two decimal points).
       },
     ],
     &quot;passed&quot;: True or False, # Overall data quality result -- true if all rules passed.
@@ -603,6 +618,7 @@ <h3>Method Details</h3>
         &quot;start&quot;: &quot;A String&quot;, # Value that marks the start of the range.
       },
     },
+    &quot;score&quot;: 3.14, # Output only. The overall data quality score.The score ranges between 0, 100 (up to two decimal points).
   },
   &quot;dataQualitySpec&quot;: { # DataQualityScan related setting. # DataQualityScan related setting.
     &quot;postScanActions&quot;: { # The configuration of post scan actions of DataQualityScan. # Optional. Actions to take upon job completion.
@@ -834,12 +850,19 @@ <h3>Method Details</h3>
         &quot;samplingPercent&quot;: 3.14, # Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.
       },
       &quot;dataQualityResult&quot;: { # The output of a DataQualityScan. # Output only. The result of the data quality scan.
+        &quot;columns&quot;: [ # Output only. A list of results at the column level.A column will have a corresponding DataQualityColumnResult if and only if there is at least one rule with the &#x27;column&#x27; field set to it.
+          { # DataQualityColumnResult provides a more detailed, per-column view of the results.
+            &quot;column&quot;: &quot;A String&quot;, # Output only. The column specified in the DataQualityRule.
+            &quot;score&quot;: 3.14, # Output only. The column-level data quality score for this data scan job if and only if the &#x27;column&#x27; field is set.The score ranges between between 0, 100 (up to two decimal points).
+          },
+        ],
         &quot;dimensions&quot;: [ # A list of results at the dimension level.A dimension will have a corresponding DataQualityDimensionResult if and only if there is at least one rule with the &#x27;dimension&#x27; field set to it.
           { # DataQualityDimensionResult provides a more detailed, per-dimension view of the results.
             &quot;dimension&quot;: { # A dimension captures data quality intent about a defined subset of the rules specified. # Output only. The dimension config specified in the DataQualitySpec, as is.
               &quot;name&quot;: &quot;A String&quot;, # The dimension name a rule belongs to. Supported dimensions are &quot;COMPLETENESS&quot;, &quot;ACCURACY&quot;, &quot;CONSISTENCY&quot;, &quot;VALIDITY&quot;, &quot;UNIQUENESS&quot;, &quot;INTEGRITY&quot;
             },
             &quot;passed&quot;: True or False, # Whether the dimension passed or failed.
+            &quot;score&quot;: 3.14, # Output only. The dimension-level data quality score for this data scan job if and only if the &#x27;dimension&#x27; field is set.The score ranges between 0, 100 (up to two decimal points).
           },
         ],
         &quot;passed&quot;: True or False, # Overall data quality result -- true if all rules passed.
@@ -906,6 +929,7 @@ <h3>Method Details</h3>
             &quot;start&quot;: &quot;A String&quot;, # Value that marks the start of the range.
           },
         },
+        &quot;score&quot;: 3.14, # Output only. The overall data quality score.The score ranges between 0, 100 (up to two decimal points).
       },
       &quot;dataQualitySpec&quot;: { # DataQualityScan related setting. # DataQualityScan related setting.
         &quot;postScanActions&quot;: { # The configuration of post scan actions of DataQualityScan. # Optional. Actions to take upon job completion.
@@ -1098,12 +1122,19 @@ <h3>Method Details</h3>
     &quot;samplingPercent&quot;: 3.14, # Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.
   },
   &quot;dataQualityResult&quot;: { # The output of a DataQualityScan. # Output only. The result of the data quality scan.
+    &quot;columns&quot;: [ # Output only. A list of results at the column level.A column will have a corresponding DataQualityColumnResult if and only if there is at least one rule with the &#x27;column&#x27; field set to it.
+      { # DataQualityColumnResult provides a more detailed, per-column view of the results.
+        &quot;column&quot;: &quot;A String&quot;, # Output only. The column specified in the DataQualityRule.
+        &quot;score&quot;: 3.14, # Output only. The column-level data quality score for this data scan job if and only if the &#x27;column&#x27; field is set.The score ranges between between 0, 100 (up to two decimal points).
+      },
+    ],
     &quot;dimensions&quot;: [ # A list of results at the dimension level.A dimension will have a corresponding DataQualityDimensionResult if and only if there is at least one rule with the &#x27;dimension&#x27; field set to it.
       { # DataQualityDimensionResult provides a more detailed, per-dimension view of the results.
         &quot;dimension&quot;: { # A dimension captures data quality intent about a defined subset of the rules specified. # Output only. The dimension config specified in the DataQualitySpec, as is.
           &quot;name&quot;: &quot;A String&quot;, # The dimension name a rule belongs to. Supported dimensions are &quot;COMPLETENESS&quot;, &quot;ACCURACY&quot;, &quot;CONSISTENCY&quot;, &quot;VALIDITY&quot;, &quot;UNIQUENESS&quot;, &quot;INTEGRITY&quot;
         },
         &quot;passed&quot;: True or False, # Whether the dimension passed or failed.
+        &quot;score&quot;: 3.14, # Output only. The dimension-level data quality score for this data scan job if and only if the &#x27;dimension&#x27; field is set.The score ranges between 0, 100 (up to two decimal points).
       },
     ],
     &quot;passed&quot;: True or False, # Overall data quality result -- true if all rules passed.
@@ -1170,6 +1201,7 @@ <h3>Method Details</h3>
         &quot;start&quot;: &quot;A String&quot;, # Value that marks the start of the range.
       },
     },
+    &quot;score&quot;: 3.14, # Output only. The overall data quality score.The score ranges between 0, 100 (up to two decimal points).
   },
   &quot;dataQualitySpec&quot;: { # DataQualityScan related setting. # DataQualityScan related setting.
     &quot;postScanActions&quot;: { # The configuration of post scan actions of DataQualityScan. # Optional. Actions to take upon job completion.
@@ -1379,12 +1411,19 @@ <h3>Method Details</h3>
       &quot;samplingPercent&quot;: 3.14, # Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.
     },
     &quot;dataQualityResult&quot;: { # The output of a DataQualityScan. # Output only. The result of the data quality scan.
+      &quot;columns&quot;: [ # Output only. A list of results at the column level.A column will have a corresponding DataQualityColumnResult if and only if there is at least one rule with the &#x27;column&#x27; field set to it.
+        { # DataQualityColumnResult provides a more detailed, per-column view of the results.
+          &quot;column&quot;: &quot;A String&quot;, # Output only. The column specified in the DataQualityRule.
+          &quot;score&quot;: 3.14, # Output only. The column-level data quality score for this data scan job if and only if the &#x27;column&#x27; field is set.The score ranges between between 0, 100 (up to two decimal points).
+        },
+      ],
       &quot;dimensions&quot;: [ # A list of results at the dimension level.A dimension will have a corresponding DataQualityDimensionResult if and only if there is at least one rule with the &#x27;dimension&#x27; field set to it.
         { # DataQualityDimensionResult provides a more detailed, per-dimension view of the results.
           &quot;dimension&quot;: { # A dimension captures data quality intent about a defined subset of the rules specified. # Output only. The dimension config specified in the DataQualitySpec, as is.
             &quot;name&quot;: &quot;A String&quot;, # The dimension name a rule belongs to. Supported dimensions are &quot;COMPLETENESS&quot;, &quot;ACCURACY&quot;, &quot;CONSISTENCY&quot;, &quot;VALIDITY&quot;, &quot;UNIQUENESS&quot;, &quot;INTEGRITY&quot;
           },
           &quot;passed&quot;: True or False, # Whether the dimension passed or failed.
+          &quot;score&quot;: 3.14, # Output only. The dimension-level data quality score for this data scan job if and only if the &#x27;dimension&#x27; field is set.The score ranges between 0, 100 (up to two decimal points).
         },
       ],
       &quot;passed&quot;: True or False, # Overall data quality result -- true if all rules passed.
@@ -1451,6 +1490,7 @@ <h3>Method Details</h3>
           &quot;start&quot;: &quot;A String&quot;, # Value that marks the start of the range.
         },
       },
+      &quot;score&quot;: 3.14, # Output only. The overall data quality score.The score ranges between 0, 100 (up to two decimal points).
     },
     &quot;dataQualitySpec&quot;: { # DataQualityScan related setting. # Output only. DataQualityScan related setting.
       &quot;postScanActions&quot;: { # The configuration of post scan actions of DataQualityScan. # Optional. Actions to take upon job completion.