diff --git a/docs/dyn/dataplex_v1.projects.locations.dataScans.html b/docs/dyn/dataplex_v1.projects.locations.dataScans.html
index 379fae78ff5..2a90b91a732 100644
--- a/docs/dyn/dataplex_v1.projects.locations.dataScans.html
+++ b/docs/dyn/dataplex_v1.projects.locations.dataScans.html
@@ -235,7 +235,7 @@
Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -284,7 +284,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -302,6 +302,10 @@ Method Details
},
},
},
+ "executionStatus": { # Status of the data scan execution. # Output only. Status of the data scan execution.
+ "latestJobEndTime": "A String", # The time when the latest DataScanJob ended.
+ "latestJobStartTime": "A String", # The time when the latest DataScanJob started.
+ },
"labels": { # Optional. User-defined labels for the scan.
"a_key": "A String",
},
@@ -504,7 +508,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -553,7 +557,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -571,6 +575,10 @@ Method Details
},
},
},
+ "executionStatus": { # Status of the data scan execution. # Output only. Status of the data scan execution.
+ "latestJobEndTime": "A String", # The time when the latest DataScanJob ended.
+ "latestJobStartTime": "A String", # The time when the latest DataScanJob started.
+ },
"labels": { # Optional. User-defined labels for the scan.
"a_key": "A String",
},
@@ -758,7 +766,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -807,7 +815,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -825,6 +833,10 @@ Method Details
},
},
},
+ "executionStatus": { # Status of the data scan execution. # Output only. Status of the data scan execution.
+ "latestJobEndTime": "A String", # The time when the latest DataScanJob ended.
+ "latestJobStartTime": "A String", # The time when the latest DataScanJob started.
+ },
"labels": { # Optional. User-defined labels for the scan.
"a_key": "A String",
},
@@ -973,7 +985,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -1022,7 +1034,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -1040,6 +1052,10 @@ Method Details
},
},
},
+ "executionStatus": { # Status of the data scan execution. # Output only. Status of the data scan execution.
+ "latestJobEndTime": "A String", # The time when the latest DataScanJob ended.
+ "latestJobStartTime": "A String", # The time when the latest DataScanJob started.
+ },
"labels": { # Optional. User-defined labels for the scan.
"a_key": "A String",
},
@@ -1205,7 +1221,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -1254,7 +1270,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # 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
index 633a2d5f083..76ae38c9808 100644
--- a/docs/dyn/dataplex_v1.projects.locations.dataScans.jobs.html
+++ b/docs/dyn/dataplex_v1.projects.locations.dataScans.jobs.html
@@ -215,7 +215,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -264,7 +264,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -402,7 +402,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
@@ -451,7 +451,7 @@ Method Details
"tableConditionExpectation": { # 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) >= 0 # Table rule which evaluates whether the provided expression is true.
"sqlExpression": "A String",
},
- "threshold": 3.14, # Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0
+ "threshold": 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)
"uniquenessExpectation": { # Evaluates whether the column has duplicates. # ColumnAggregate rule which evaluates whether the column has duplicates.
},
},
diff --git a/docs/dyn/dataplex_v1.projects.locations.lakes.zones.entities.html b/docs/dyn/dataplex_v1.projects.locations.lakes.zones.entities.html
index 95aba18a870..079dccee6ab 100644
--- a/docs/dyn/dataplex_v1.projects.locations.lakes.zones.entities.html
+++ b/docs/dyn/dataplex_v1.projects.locations.lakes.zones.entities.html
@@ -143,6 +143,9 @@ Method Details
"quote": "A String", # Optional. The character used to quote column values. Accepts '"' (double quotation mark) or ''' (single quotation mark). Defaults to '"' (double quotation mark) if unspecified.
},
"format": "A String", # Output only. The data format associated with the stored data, which represents content type values. The value is inferred from mime type.
+ "iceberg": { # Describes Iceberg data format. # Optional. Additional information about iceberg tables.
+ "metadataLocation": "A String", # Optional. The location of where the iceberg metadata is present, must be within the table path
+ },
"json": { # Describes JSON data format. # Optional. Additional information about CSV formatted data.
"encoding": "A String", # Optional. The character encoding of the data. Accepts "US-ASCII", "UTF-8" and "ISO-8859-1". Defaults to UTF-8 if not specified.
},
@@ -213,6 +216,9 @@ Method Details
"quote": "A String", # Optional. The character used to quote column values. Accepts '"' (double quotation mark) or ''' (single quotation mark). Defaults to '"' (double quotation mark) if unspecified.
},
"format": "A String", # Output only. The data format associated with the stored data, which represents content type values. The value is inferred from mime type.
+ "iceberg": { # Describes Iceberg data format. # Optional. Additional information about iceberg tables.
+ "metadataLocation": "A String", # Optional. The location of where the iceberg metadata is present, must be within the table path
+ },
"json": { # Describes JSON data format. # Optional. Additional information about CSV formatted data.
"encoding": "A String", # Optional. The character encoding of the data. Accepts "US-ASCII", "UTF-8" and "ISO-8859-1". Defaults to UTF-8 if not specified.
},
@@ -314,6 +320,9 @@ Method Details
"quote": "A String", # Optional. The character used to quote column values. Accepts '"' (double quotation mark) or ''' (single quotation mark). Defaults to '"' (double quotation mark) if unspecified.
},
"format": "A String", # Output only. The data format associated with the stored data, which represents content type values. The value is inferred from mime type.
+ "iceberg": { # Describes Iceberg data format. # Optional. Additional information about iceberg tables.
+ "metadataLocation": "A String", # Optional. The location of where the iceberg metadata is present, must be within the table path
+ },
"json": { # Describes JSON data format. # Optional. Additional information about CSV formatted data.
"encoding": "A String", # Optional. The character encoding of the data. Accepts "US-ASCII", "UTF-8" and "ISO-8859-1". Defaults to UTF-8 if not specified.
},
@@ -400,6 +409,9 @@ Method Details
"quote": "A String", # Optional. The character used to quote column values. Accepts '"' (double quotation mark) or ''' (single quotation mark). Defaults to '"' (double quotation mark) if unspecified.
},
"format": "A String", # Output only. The data format associated with the stored data, which represents content type values. The value is inferred from mime type.
+ "iceberg": { # Describes Iceberg data format. # Optional. Additional information about iceberg tables.
+ "metadataLocation": "A String", # Optional. The location of where the iceberg metadata is present, must be within the table path
+ },
"json": { # Describes JSON data format. # Optional. Additional information about CSV formatted data.
"encoding": "A String", # Optional. The character encoding of the data. Accepts "US-ASCII", "UTF-8" and "ISO-8859-1". Defaults to UTF-8 if not specified.
},
@@ -488,6 +500,9 @@ Method Details
"quote": "A String", # Optional. The character used to quote column values. Accepts '"' (double quotation mark) or ''' (single quotation mark). Defaults to '"' (double quotation mark) if unspecified.
},
"format": "A String", # Output only. The data format associated with the stored data, which represents content type values. The value is inferred from mime type.
+ "iceberg": { # Describes Iceberg data format. # Optional. Additional information about iceberg tables.
+ "metadataLocation": "A String", # Optional. The location of where the iceberg metadata is present, must be within the table path
+ },
"json": { # Describes JSON data format. # Optional. Additional information about CSV formatted data.
"encoding": "A String", # Optional. The character encoding of the data. Accepts "US-ASCII", "UTF-8" and "ISO-8859-1". Defaults to UTF-8 if not specified.
},
@@ -558,6 +573,9 @@ Method Details
"quote": "A String", # Optional. The character used to quote column values. Accepts '"' (double quotation mark) or ''' (single quotation mark). Defaults to '"' (double quotation mark) if unspecified.
},
"format": "A String", # Output only. The data format associated with the stored data, which represents content type values. The value is inferred from mime type.
+ "iceberg": { # Describes Iceberg data format. # Optional. Additional information about iceberg tables.
+ "metadataLocation": "A String", # Optional. The location of where the iceberg metadata is present, must be within the table path
+ },
"json": { # Describes JSON data format. # Optional. Additional information about CSV formatted data.
"encoding": "A String", # Optional. The character encoding of the data. Accepts "US-ASCII", "UTF-8" and "ISO-8859-1". Defaults to UTF-8 if not specified.
},
diff --git a/googleapiclient/discovery_cache/documents/dataplex.v1.json b/googleapiclient/discovery_cache/documents/dataplex.v1.json
index 2923b14c539..159dd16e85f 100644
--- a/googleapiclient/discovery_cache/documents/dataplex.v1.json
+++ b/googleapiclient/discovery_cache/documents/dataplex.v1.json
@@ -3418,7 +3418,7 @@
}
}
},
- "revision": "20221113",
+ "revision": "20221130",
"rootUrl": "https://dataplex.googleapis.com/",
"schemas": {
"Empty": {
@@ -4379,7 +4379,7 @@
"description": "Table rule which evaluates whether the provided expression is true."
},
"threshold": {
- "description": "Optional. The minimum ratio of passing_rows / total_rows required to pass this rule. Default = 1.0",
+ "description": "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)",
"format": "double",
"type": "number"
},
@@ -4603,6 +4603,11 @@
"$ref": "GoogleCloudDataplexV1DataScanExecutionSpec",
"description": "Optional. DataScan execution settings. If not specified, the fields under it will use their default values."
},
+ "executionStatus": {
+ "$ref": "GoogleCloudDataplexV1DataScanExecutionStatus",
+ "description": "Output only. Status of the data scan execution.",
+ "readOnly": true
+ },
"labels": {
"additionalProperties": {
"type": "string"
@@ -4814,6 +4819,23 @@
},
"type": "object"
},
+ "GoogleCloudDataplexV1DataScanExecutionStatus": {
+ "description": "Status of the data scan execution.",
+ "id": "GoogleCloudDataplexV1DataScanExecutionStatus",
+ "properties": {
+ "latestJobEndTime": {
+ "description": "The time when the latest DataScanJob ended.",
+ "format": "google-datetime",
+ "type": "string"
+ },
+ "latestJobStartTime": {
+ "description": "The time when the latest DataScanJob started.",
+ "format": "google-datetime",
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
"GoogleCloudDataplexV1DataScanJob": {
"description": "A DataScanJob represents an instance of a data scan.",
"id": "GoogleCloudDataplexV1DataScanJob",
@@ -6419,6 +6441,10 @@
"readOnly": true,
"type": "string"
},
+ "iceberg": {
+ "$ref": "GoogleCloudDataplexV1StorageFormatIcebergOptions",
+ "description": "Optional. Additional information about iceberg tables."
+ },
"json": {
"$ref": "GoogleCloudDataplexV1StorageFormatJsonOptions",
"description": "Optional. Additional information about CSV formatted data."
@@ -6454,6 +6480,17 @@
},
"type": "object"
},
+ "GoogleCloudDataplexV1StorageFormatIcebergOptions": {
+ "description": "Describes Iceberg data format.",
+ "id": "GoogleCloudDataplexV1StorageFormatIcebergOptions",
+ "properties": {
+ "metadataLocation": {
+ "description": "Optional. The location of where the iceberg metadata is present, must be within the table path",
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
"GoogleCloudDataplexV1StorageFormatJsonOptions": {
"description": "Describes JSON data format.",
"id": "GoogleCloudDataplexV1StorageFormatJsonOptions",