- 3.59.0 (latest)
 - 3.58.0
 - 3.57.0
 - 3.56.0
 - 3.55.0
 - 3.54.0
 - 3.53.0
 - 3.52.0
 - 3.51.0
 - 3.50.1
 - 3.46.0
 - 3.45.0
 - 3.44.0
 - 3.43.0
 - 3.42.0
 - 3.41.0
 - 3.40.1
 - 3.39.0
 - 3.38.0
 - 3.37.0
 - 3.36.0
 - 3.35.1
 - 3.34.0
 - 3.33.0
 - 3.32.0
 - 3.31.0
 - 3.30.0
 - 3.29.0
 - 3.28.0
 - 3.27.1
 - 3.26.0
 - 3.25.0
 - 3.24.0
 - 3.23.0
 - 3.22.2
 - 3.21.0
 - 3.20.0
 - 3.19.0
 - 3.18.0
 - 3.17.0
 - 3.16.0
 - 3.15.1
 - 3.14.1
 - 3.13.0
 - 3.12.1
 - 3.11.1
 - 3.10.0
 - 3.9.0
 - 3.8.0
 - 3.7.0
 - 3.6.0
 - 3.5.0
 - 3.4.0
 - 3.3.0
 - 3.2.0
 - 3.1.0
 - 3.0.0
 - 2.1.1
 - 2.0.0
 - 1.19.3
 - 1.18.0
 - 1.17.1
 - 1.16.0
 - 1.15.1
 - 1.14.0
 - 1.13.0
 - 1.12.0
 - 1.11.0
 - 1.10.0
 
ResultSetMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)Metadata about a ResultSet][google.spanner.v1.ResultSet] or
PartialResultSet][google.spanner.v1.PartialResultSet].
Attributes | 
      |
|---|---|
| Name | Description | 
row_type | 
        
          google.cloud.spanner_v1.types.StructType
          Indicates the field names and types for the rows in the result set. For example, a SQL query like "SELECT UserId, UserName FROM Users" could return a
   row_type value like:
   
   ::
   
       "fields": [
         { "name": "UserId", "type": { "code": "INT64" } },
         { "name": "UserName", "type": { "code": "STRING" } },
       ]
         | 
      
transaction | 
        
          google.cloud.spanner_v1.types.Transaction
          If the read or SQL query began a transaction as a side-effect, the information about the new transaction is yielded here.  | 
      
undeclared_parameters | 
        
          google.cloud.spanner_v1.types.StructType
          A SQL query can be parameterized. In PLAN mode, these parameters can be undeclared. This indicates the field names and types for those undeclared parameters in the SQL query. For example, a SQL query like "SELECT * FROM Users where UserId = @userId and UserName = @userName "
   could return a undeclared_parameters value like:
   
   ::
   
       "fields": [
         { "name": "UserId", "type": { "code": "INT64" } },
         { "name": "UserName", "type": { "code": "STRING" } },
       ]
         |