By creating the tables, we can store the data in a structure. For retrieving and analysing the data rapidly, we require tables. This blog discusses creating the tables.
Example for creating a table in the Snowflake
Create table users1 ( id1 integer default id1_seq.nextval, name1 varchar(1000), preferences string, created_at timestamp )
In the Parenthesis, Column definitions are separated by columns. The minimum necessary fields for the column definitions are data type and column name. The “id1” column has another field to utilise the auto-incrementing property for assigning it to the values.
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We can define “default values” and “not null constraints”:
create table users1 ( Id1 integer default id1_seq.nextval, name1 varchar(1000) not null, active boolean default true; );
We can create temporary tables that can hang around during the session duration. This allows us to break your analysis into tiny pieces.
Create temporary table1 active_users ( id1 integer default id_seq.nextval1, name1 varchar(1000) not null, active boolean default false );
Snowflake also helps us create the transient tables, which are a combination of temporary and permanent tables. We use temporary tables for storing the temporary data external to the session without implementing a higher level of data recovery and data security.
Create transient table inactive_users ( id1 integer default id_seq.nextval, name1 varchar(100) not null, active boolean default false );
In Snowflake, tables will enable us to store the data. We can create different kinds of tables like temporary tables, transient tables, etc. I hope this information is sufficient for creating and using the tables.
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