chore: Update discovery artifacts (#1400)
## Discovery Artifact Change Summary:
feat(compute): update the api https://github.com/googleapis/google-api-python-client/commit/b8ce2754752f8157b84091a99594f9a45a8f8eed
feat(container): update the api https://github.com/googleapis/google-api-python-client/commit/a73f41e49d7ab6258bd722b4ee6d022c195975c2
feat(dataproc): update the api https://github.com/googleapis/google-api-python-client/commit/be0dde6ee43f4ff05396d33b16e0af2a1fabfc28
feat(lifesciences): update the api https://github.com/googleapis/google-api-python-client/commit/c524c0a316e4206c8b0e0075e3ed5eceb7e60016
feat(osconfig): update the api https://github.com/googleapis/google-api-python-client/commit/5dbaaad34dec45eb5f5a9e98710b3ec05b4d5429
feat(pagespeedonline): update the api https://github.com/googleapis/google-api-python-client/commit/47d41c544376b1911261410235b63ffe3e5faa91
feat(privateca): update the api https://github.com/googleapis/google-api-python-client/commit/8f7ad0d176d61f9e9a409d7fe35b20c5f1c239a5
diff --git a/docs/dyn/spanner_v1.projects.instances.databases.sessions.html b/docs/dyn/spanner_v1.projects.instances.databases.sessions.html
index 936dae8..1cbdde8 100644
--- a/docs/dyn/spanner_v1.projects.instances.databases.sessions.html
+++ b/docs/dyn/spanner_v1.projects.instances.databases.sessions.html
@@ -337,7 +337,7 @@
{ # The response for Commit.
"commitStats": { # Additional statistics about a commit. # The statistics about this Commit. Not returned by default. For more information, see CommitRequest.return_commit_stats.
- "mutationCount": "A String", # The total number of mutations for the transaction. Knowing the `mutation_count` value can help you maximize the number of mutations in a transaction and minimize the number of API round trips. You can also monitor this value to prevent transactions from exceeding the system [limit](http://cloud.google.com/spanner/quotas#limits_for_creating_reading_updating_and_deleting_data). If the number of mutations exceeds the limit, the server returns [INVALID_ARGUMENT](http://cloud.google.com/spanner/docs/reference/rest/v1/Code#ENUM_VALUES.INVALID_ARGUMENT).
+ "mutationCount": "A String", # The total number of mutations for the transaction. Knowing the `mutation_count` value can help you maximize the number of mutations in a transaction and minimize the number of API round trips. You can also monitor this value to prevent transactions from exceeding the system [limit](https://cloud.google.com/spanner/quotas#limits_for_creating_reading_updating_and_deleting_data). If the number of mutations exceeds the limit, the server returns [INVALID_ARGUMENT](https://cloud.google.com/spanner/docs/reference/rest/v1/Code#ENUM_VALUES.INVALID_ARGUMENT).
},
"commitTimestamp": "A String", # The Cloud Spanner timestamp at which the transaction committed.
}</pre>
@@ -421,7 +421,14 @@
"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": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ "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.
+ },
+ ],
+ },
},
},
"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.
@@ -479,11 +486,7 @@
"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": { # `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.
- },
+ "type": # Object with schema name: Type # The type of the field.
},
],
},
@@ -560,7 +563,14 @@
"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": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ "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.
+ },
+ ],
+ },
},
},
"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.
@@ -627,11 +637,7 @@
"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": { # `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.
- },
+ "type": # Object with schema name: Type # The type of the field.
},
],
},
@@ -697,7 +703,14 @@
"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": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ "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.
+ },
+ ],
+ },
},
},
"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.
@@ -765,11 +778,7 @@
"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": { # `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.
- },
+ "type": # Object with schema name: Type # The type of the field.
},
],
},
@@ -904,7 +913,14 @@
"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": # Object with schema name: StructType # If code == STRUCT, then `struct_type` provides type information for the struct's fields.
+ "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.
+ },
+ ],
+ },
},
},
"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.
@@ -1160,11 +1176,7 @@
"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": { # `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.
- },
+ "type": # Object with schema name: Type # The type of the field.
},
],
},
@@ -1336,11 +1348,7 @@
"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": { # `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.
- },
+ "type": # Object with schema name: Type # The type of the field.
},
],
},