chore: Update discovery artifacts (#1413)
## Discovery Artifact Change Summary:
feat(analyticsadmin): update the api https://github.com/googleapis/google-api-python-client/commit/5a2e42e9a4631216c4883d5538c970a5faad59eb
feat(androidmanagement): update the api https://github.com/googleapis/google-api-python-client/commit/5fcc274bcd4a9a71a0a568e2771c443a2b2b20b0
feat(dialogflow): update the api https://github.com/googleapis/google-api-python-client/commit/512fc42343fa946889ec155456a05f0d64969903
feat(keep): update the api https://github.com/googleapis/google-api-python-client/commit/45eb6dac450c1055a6ced84332529b70b0a8c831
fix(smartdevicemanagement): update the api https://github.com/googleapis/google-api-python-client/commit/772982044da691f9116073855e692f7793edacce
diff --git a/docs/dyn/spanner_v1.projects.instances.databases.sessions.html b/docs/dyn/spanner_v1.projects.instances.databases.sessions.html
index 1cbdde8..e7920eb 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.
+ },
},
],
},