chore: Update discovery artifacts (#1505)
## Deleted keys were detected in the following stable discovery artifacts:
bigquery v2 https://github.com/googleapis/google-api-python-client/commit/795df26b99759db8f2e45a876b9c1374e2fc14ab
managedidentities v1 https://github.com/googleapis/google-api-python-client/commit/9f85c13a423d972707db785c03c832948fc4ce31
ondemandscanning v1 https://github.com/googleapis/google-api-python-client/commit/11b0c0eb16bb850077fc97da2b6cc29ffe4378b0
## Deleted keys were detected in the following pre-stable discovery artifacts:
artifactregistry v1beta1 https://github.com/googleapis/google-api-python-client/commit/d8c9d9b57835594456c766421e29c9d94a9f09fc
artifactregistry v1beta2 https://github.com/googleapis/google-api-python-client/commit/d8c9d9b57835594456c766421e29c9d94a9f09fc
dataflow v1b3 https://github.com/googleapis/google-api-python-client/commit/a8b34005d6ef733ed7230890d8b515a3b80334ec
managedidentities v1alpha1 https://github.com/googleapis/google-api-python-client/commit/9f85c13a423d972707db785c03c832948fc4ce31
managedidentities v1beta1 https://github.com/googleapis/google-api-python-client/commit/9f85c13a423d972707db785c03c832948fc4ce31
ondemandscanning v1beta1 https://github.com/googleapis/google-api-python-client/commit/11b0c0eb16bb850077fc97da2b6cc29ffe4378b0
## Discovery Artifact Change Summary:
feat(analyticsdata): update the api https://github.com/googleapis/google-api-python-client/commit/197540040eaedf672e608435ab0783e4ec203376
feat(androidmanagement): update the api https://github.com/googleapis/google-api-python-client/commit/d253dad6da1a4e0ff1bfb225de9a93ec0b5bbbb5
feat(artifactregistry): update the api https://github.com/googleapis/google-api-python-client/commit/d8c9d9b57835594456c766421e29c9d94a9f09fc
feat(bigquery): update the api https://github.com/googleapis/google-api-python-client/commit/795df26b99759db8f2e45a876b9c1374e2fc14ab
feat(bigquerydatatransfer): update the api https://github.com/googleapis/google-api-python-client/commit/9044b191958b077b84fad16e3f8f93a03b021dce
feat(chat): update the api https://github.com/googleapis/google-api-python-client/commit/5fe2f9ccbacc1a34f16750eeca103124fb4df48c
feat(cloudidentity): update the api https://github.com/googleapis/google-api-python-client/commit/24da17a1f30d97483c3da5d4fffa209cdae5d445
feat(cloudkms): update the api https://github.com/googleapis/google-api-python-client/commit/bb6c83bbdcfa0867bddb2305c26bf5aced0a4fb9
feat(compute): update the api https://github.com/googleapis/google-api-python-client/commit/1c2b5b24e32a9587f84e7240e2ebc39576760841
feat(container): update the api https://github.com/googleapis/google-api-python-client/commit/f5e7af12443c6eb9130fd62257c78d8339e76a08
feat(containeranalysis): update the api https://github.com/googleapis/google-api-python-client/commit/bb9bbeaebed4bb164ec1894896e9011253cd65cf
feat(content): update the api https://github.com/googleapis/google-api-python-client/commit/c9ba1f1852ade510cb9c89c92134b5ea95f7b9e2
feat(dataflow): update the api https://github.com/googleapis/google-api-python-client/commit/a8b34005d6ef733ed7230890d8b515a3b80334ec
feat(dataproc): update the api https://github.com/googleapis/google-api-python-client/commit/0f222f72fef0fbad5d47c0b054cb695fc99317e1
feat(displayvideo): update the api https://github.com/googleapis/google-api-python-client/commit/fbfb3cae7338b252f45a9417d46e1842bf2651e3
feat(documentai): update the api https://github.com/googleapis/google-api-python-client/commit/c21f6c964fd613125c920dede0aa4ad46288096e
feat(file): update the api https://github.com/googleapis/google-api-python-client/commit/4ea8b8d219de81728f701ca600cf38cec237bc3e
feat(gkehub): update the api https://github.com/googleapis/google-api-python-client/commit/abde26f80fd8b856785c60bdcc8eac1233c67980
feat(logging): update the api https://github.com/googleapis/google-api-python-client/commit/55ba494a751bbbf6f8bbf79a68249b6b4e062748
feat(managedidentities): update the api https://github.com/googleapis/google-api-python-client/commit/9f85c13a423d972707db785c03c832948fc4ce31
feat(metastore): update the api https://github.com/googleapis/google-api-python-client/commit/69301238fcd311486ba88209d9a1f746b51c1451
feat(ondemandscanning): update the api https://github.com/googleapis/google-api-python-client/commit/11b0c0eb16bb850077fc97da2b6cc29ffe4378b0
feat(people): update the api https://github.com/googleapis/google-api-python-client/commit/8a6dc23bda9dc7ab2c39d22e307590fb1c6e15c0
feat(sqladmin): update the api https://github.com/googleapis/google-api-python-client/commit/552d62b418d122831f0b4a38f577b4e106c6a070
feat(sts): update the api https://github.com/googleapis/google-api-python-client/commit/701b09cd34bf5a16d912b967e72fd23da77c26ec
feat(workflowexecutions): update the api https://github.com/googleapis/google-api-python-client/commit/26e7f6db0d773b7940b6c072b1f383c6edefd9f2
feat(youtube): update the api https://github.com/googleapis/google-api-python-client/commit/805e784420807e19b6e90cda17b03e74c50e7185
diff --git a/docs/dyn/spanner_v1.projects.instances.databases.sessions.html b/docs/dyn/spanner_v1.projects.instances.databases.sessions.html
index 31c2d2f..963628b 100644
--- a/docs/dyn/spanner_v1.projects.instances.databases.sessions.html
+++ b/docs/dyn/spanner_v1.projects.instances.databases.sessions.html
@@ -421,14 +421,7 @@
"a_key": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query.
"arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
"code": "A String", # Required. The TypeCode for this type.
- "structType": { # `StructType` defines the fields of a STRUCT type. # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
- "fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
- { # Message representing a single field of a struct.
- "name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
- },
- ],
- },
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
},
},
"params": { # Parameter names and values that bind to placeholders in the DML string. A parameter placeholder consists of the `@` character followed by the parameter name (for example, `@firstName`). Parameter names can contain letters, numbers, and underscores. Parameters can appear anywhere that a literal value is expected. The same parameter name can be used more than once, for example: `"WHERE id > @msg_id AND id < @msg_id + 100"` It is an error to execute a SQL statement with unbound parameters.
@@ -486,7 +479,11 @@
"fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
{ # Message representing a single field of a struct.
"name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
+ "type": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query. # The type of the field.
+ "arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
+ "code": "A String", # Required. The TypeCode for this type.
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ },
},
],
},
@@ -563,14 +560,7 @@
"a_key": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query.
"arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
"code": "A String", # Required. The TypeCode for this type.
- "structType": { # `StructType` defines the fields of a STRUCT type. # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
- "fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
- { # Message representing a single field of a struct.
- "name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
- },
- ],
- },
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
},
},
"params": { # Parameter names and values that bind to placeholders in the SQL string. A parameter placeholder consists of the `@` character followed by the parameter name (for example, `@firstName`). Parameter names must conform to the naming requirements of identifiers as specified at https://cloud.google.com/spanner/docs/lexical#identifiers. Parameters can appear anywhere that a literal value is expected. The same parameter name can be used more than once, for example: `"WHERE id > @msg_id AND id < @msg_id + 100"` It is an error to execute a SQL statement with unbound parameters.
@@ -637,7 +627,11 @@
"fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
{ # Message representing a single field of a struct.
"name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
+ "type": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query. # The type of the field.
+ "arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
+ "code": "A String", # Required. The TypeCode for this type.
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ },
},
],
},
@@ -703,14 +697,7 @@
"a_key": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query.
"arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
"code": "A String", # Required. The TypeCode for this type.
- "structType": { # `StructType` defines the fields of a STRUCT type. # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
- "fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
- { # Message representing a single field of a struct.
- "name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
- },
- ],
- },
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
},
},
"params": { # Parameter names and values that bind to placeholders in the SQL string. A parameter placeholder consists of the `@` character followed by the parameter name (for example, `@firstName`). Parameter names must conform to the naming requirements of identifiers as specified at https://cloud.google.com/spanner/docs/lexical#identifiers. Parameters can appear anywhere that a literal value is expected. The same parameter name can be used more than once, for example: `"WHERE id > @msg_id AND id < @msg_id + 100"` It is an error to execute a SQL statement with unbound parameters.
@@ -778,7 +765,11 @@
"fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
{ # Message representing a single field of a struct.
"name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
+ "type": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query. # The type of the field.
+ "arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
+ "code": "A String", # Required. The TypeCode for this type.
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ },
},
],
},
@@ -913,14 +904,7 @@
"a_key": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query.
"arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
"code": "A String", # Required. The TypeCode for this type.
- "structType": { # `StructType` defines the fields of a STRUCT type. # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
- "fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
- { # Message representing a single field of a struct.
- "name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
- },
- ],
- },
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
},
},
"params": { # Parameter names and values that bind to placeholders in the SQL string. A parameter placeholder consists of the `@` character followed by the parameter name (for example, `@firstName`). Parameter names can contain letters, numbers, and underscores. Parameters can appear anywhere that a literal value is expected. The same parameter name can be used more than once, for example: `"WHERE id > @msg_id AND id < @msg_id + 100"` It is an error to execute a SQL statement with unbound parameters.
@@ -1176,7 +1160,11 @@
"fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
{ # Message representing a single field of a struct.
"name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
+ "type": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query. # The type of the field.
+ "arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
+ "code": "A String", # Required. The TypeCode for this type.
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ },
},
],
},
@@ -1348,7 +1336,11 @@
"fields": [ # The list of fields that make up this struct. Order is significant, because values of this struct type are represented as lists, where the order of field values matches the order of fields in the StructType. In turn, the order of fields matches the order of columns in a read request, or the order of fields in the `SELECT` clause of a query.
{ # Message representing a single field of a struct.
"name": "A String", # The name of the field. For reads, this is the column name. For SQL queries, it is the column alias (e.g., `"Word"` in the query `"SELECT 'hello' AS Word"`), or the column name (e.g., `"ColName"` in the query `"SELECT ColName FROM Table"`). Some columns might have an empty name (e.g., `"SELECT UPPER(ColName)"`). Note that a query result can contain multiple fields with the same name.
- "type": # Object with schema name: Type # The type of the field.
+ "type": { # `Type` indicates the type of a Cloud Spanner value, as might be stored in a table cell or returned from an SQL query. # The type of the field.
+ "arrayElementType": # Object with schema name: Type # If code == ARRAY, then `array_element_type` is the type of the array elements.
+ "code": "A String", # Required. The TypeCode for this type.
+ "structType": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ },
},
],
},