Overview of Views¶
This topic covers concepts for using views.
In this Topic:
What is a View?¶
A view allows the result of a query to be accessed as if it were a table. The query is specified in the CREATE VIEW statement.
You can create separate views that meet the needs of different types of employees, for example, doctors and accountants at a hospital:
CREATE TABLE hospital_table (patient_id INTEGER, patient_name VARCHAR, billing_address VARCHAR, diagnosis VARCHAR, treatment VARCHAR, cost NUMBER(10,2)); INSERT INTO hospital_table (patient_ID, patient_name, billing_address, diagnosis, treatment, cost) VALUES (1, 'Mark Knopfler', '1982 Telegraph Road', 'Industrial Disease', 'a week of peace and quiet', 2000.00), (2, 'Guido van Rossum', '37 Florida St.', 'python bite', 'anti-venom', 70000.00) ;CREATE VIEW doctor_view AS SELECT patient_ID, patient_name, diagnosis, treatment FROM hospital_table; CREATE VIEW accountant_view AS SELECT patient_ID, patient_name, billing_address, cost FROM hospital_table;
A view can be used almost anywhere that a table can be used (e.g. in a join or a subquery):
Show all of the types of medical problems that patients have had:
SELECT DISTINCT diagnosis FROM doctor_view; +--------------------+ | DIAGNOSIS | |--------------------| | Industrial Disease | | python bite | +--------------------+
Show the cost of each treatment (without showing personally identifying information about specific patients).
SELECT treatment, cost FROM doctor_view AS dv, accountant_view AS av WHERE av.patient_ID = dv.patient_ID; +---------------------------+----------+ | TREATMENT | COST | |---------------------------+----------| | a week of peace and quiet | 2000.00 | | anti-venom | 70000.00 | +---------------------------+----------+
Types of Views¶
There are two types of views:
Non-materialized views (usually simply referred to as “views”).
The term “view” generically refers to all types of views; however, the term is used here to refer specifically to non-materialized views.
A view is basically a named definition of a query. A non-materialized view’s results are created by executing the query at the time that the view is referenced in a query. The results are not stored for future use. Performance is slower than with materialized views. Non-materialized views are the most common type of view.
Any query expression that returns a valid result can be used to create a non-materialized view, such as:
Selecting some (or all) columns in a table.
Selecting a specific range of data in table columns.
Joining data from two or more tables.
Although a materialized view is named as though it were a type of view, in many ways it behaves more like a table. A materialized view’s results are stored, almost as though the results were a table. This allows faster access, but requires storage space and active maintenance, both of which have a cost in credits.
Materialized views have some restrictions that non-materialized views do not have.
For more details, see Working with Materialized Views.
Advantages of Views¶
Views Enable Writing More Modular Code¶
Views help you to write clearer, more modular SQL code. For example, suppose that your hospital database has a table listing information about all employees. You can create views to make it convenient to extract information about only the medical staff or only the maintenance staff. You can even create hierarchies of views.
For example, you can create one view for the doctors, and one for the nurses, and then create the
view by referring to the doctors view and nurses view:
CREATE TABLE employees (id INTEGER, title VARCHAR); INSERT INTO employees (id, title) VALUES (1, 'doctor'), (2, 'nurse'), (3, 'janitor') ; CREATE VIEW doctors as SELECT * FROM employees WHERE title = 'doctor'; CREATE VIEW nurses as SELECT * FROM employees WHERE title = 'nurse'; CREATE VIEW medical_staff AS SELECT * FROM doctors UNION SELECT * FROM nurses ;SELECT * FROM medical_staff ORDER BY id; +----+--------+ | ID | TITLE | |----+--------| | 1 | doctor | | 2 | nurse | +----+--------+
In many cases, rather than writing one large and difficult-to-understand query, you can decompose the query into smaller pieces, and create a view for each of those pieces. This not only makes the code easier to understand, but in many cases it also makes the code easier to debug because you can debug one view at a time, rather than the entire query.
One view can be referenced by many different queries, so views help increase code re-use.
Views Allow Granting Access to a Subset of a Table¶
Views allow you to grant access to just a portion of the data in a table(s). For example, suppose that you have a table of medical patient records. The medical staff should have access to all of the medical information (for example, diagnosis) but not the financial information (for example, the patient’s credit card number). The accounting staff should have access to the billing-related information, such as the costs of each of the prescriptions given to the patient, but not to the private medical data, such as diagnosis of a mental health condition. You can create two separate views, one for the medical staff, and one for the billing staff, so that each of those roles sees only the information needed to perform their jobs. Views allow this because you can grant privileges on a particular view to a particular role, without the grantee role having privileges on the table(s) underlying the view.
In the medical example:
The medical staff would not have privileges on the data table(s), but would have privileges on the view showing diagnosis and treatment.
The accounting staff would not have privileges on the data table(s), but would have privileges on the view showing billing information.
For additional security, Snowflake supports defining a view as secure. For more details about secure views, see Working with Secure Views.
Views Can Improve Performance¶
In some situations, views can improve performance.
Materialized Views: Materialized Views are designed to improve performance. Materialized Views contain a copy of a subset of the data in a table. Depending upon the amount of data in the table and in the materialized view, scanning the materialized view can be much faster than scanning the table. Materialized views also support clustering, and you can create multiple materialized views on the same data, with each materialized view being clustered on a different column, so that different queries can each run on the view with the best clustering for that query.
Non-materialized Views: When a query references a non-materialized view, the Snowflake query optimizer uses internal optimizations to process the view and the query together, sometimes enabling the view to be evaluated more efficiently than if it were evaluated separately.
Limitations on Views¶
The definition for a view cannot be updated (i.e. you cannot use ALTER VIEW to change the definition of a view). To change a view definition, you must recreate the view with the new definition.
Changes to a table are not automatically propagated to views created on that table. For example, if you drop a column in a table, the views on that table might become invalid.
Views are read-only (i.e. you cannot execute DML commands directly on a view). However, you can use a view in a subquery within a DML statement that updates the underlying base table. For example:
DELETE FROM hospital_table WHERE cost > (SELECT AVG(cost) FROM accountant_view);