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PostgreSQL Drop Schema

PostgreSQL Drop Schema

Introduction to PostgreSQL Drop Schema

PostgreSQL provides a Drop Schema statement. In the database administration system, the schema is described as a series of database objects. Object consists of tables, functions, relations, and operators. The drop schema statement is used to remove a schema from databases which are no longer used. Drop schema statement can perform only the owner of the schema or superuser. In PostgreSQL, it provides the facility to delete multiple schemas at the same time by using a drop schema statement. In PostgreSQL, we use a different drop schema statement. Finally, we can say the Drop schema statement provides flexibility to users.

Syntax:

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DROP  SCHEMA   [IF EXISTS]   SPECIFIED SCHEMA NAME
[CASCADE    RESTRICT   ];

Explanation:

  • In the above syntax, drop schema statement is used to remove a schema from the database.
  • If Exists in the above statement is an optional part of the syntax. It is used to check whether a schema exists or not. When we include this statement in syntax no error may occur if the specified schema does not exist.
  • Cascade is an optional part of syntax when a specific schema is deleted from the database that also deletes tables, functions associated with that specific schema.
  • Restrict it is also an optional part of the syntax. It is used to ensure that a schema is deleted if there is no other object associated with them. When the schema is empty at that time you can restrict the clause.

How to Drop Schema in PostgreSQL using Various Methods?

Before going to see how Drop schema statement work in PostgreSQL, we need some prerequisites as follows:

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  • First, you must install PostgreSQL on your system.
  • Service PostgreSQL status command to check PostgreSQL is working properly or not. If the status is active that means PostgreSQL is installed successfully.
  • You must have basic knowledge about PostgreSQL.

Now we create a new schema to understand how drop statements work using different methods.

Code:

Create  schema   testschema;

Using the above statement we create testschema. Illustrate the end result of the above declaration by using the use of the following snapshot.

Output:

PostgreSQL Drop Schema 1

After that we create different tables under testschema using the following statement.

Code:

create   table      testschema.emp       ( emp_id   INT              NOT NULL,
emp_name VARCHAR (30)     NOT NULL,      emp_age  INT              NOT NULL,
emp_salary   DECIMAL (25, 2),        primary key (emp_id) );

Illustrate the end result of the above declaration by using the use of the following snapshot.

Output:

PostgreSQL Drop Schema 2

Drop Schema Methods:

Given below are the Drop Schema Methods:

1. Drop Schema

This method is used to delete schema from the database.

Syntax:

Drop Schema   schema_name;

Explanation:

  • In the above statement drop schema is the statement and schema name is actual schema name that we need to delete.

Example:

Code:

drop schema   post_schema;

In the above statement delete test_schema from the database. Illustrate the end result of the above declaration by using the use of the following snapshot.

Output:

PostgreSQL Drop Schema 3

Illustrate the end result of the above statement before the execution of the above statement as shown in the snapshot.

Output:

PostgreSQL Drop Schema 4

2. Drop Schema IF Exists

This is the second method in the drop schema. In this method, we delete schema if and only if the schema is present.

Syntax:

Drop schema    IF EXISTS   schema name;

Explanation:

  • In the above syntax where to drop schema is a drop statement, IF EXISTS clause is used to check whether the schema is present or not and schema name is specified schema name that we need to delete.

Example:

Code:

drop schema    if exists  db_schema;

By using the above statement we deleted the schema name db_schema from the database. Illustrate the end result of the above declaration by using the use of the following snapshot.

Output:

IF Exists

Illustrate the end result of the above statement before the execution of the above statement as shown in the snapshot.

Output:

PostgreSQL Drop Schema 6

Now see what happens when we execute the same statement.

Code:

drop schema    if exists  db_schema;

Illustrate the end result of the above declaration by using the use of the following snapshot.

Output:

PostgreSQL Drop Schema 7

In the above snapshot, the error message shows.

3. Drop Schema Cascade

This is the third method of drop schema. In this method, it automatically deletes table function etc.

Syntax:

Drop schema    testschema,   dbms_schema;

In the above statement, we deleted the schema name as testschema and dbms_schema but when we execute the above statement it returns error message as cannot delete specified object because another object depends on it. Illustrate the end result of the above declaration by using the use of the following snapshot.

Output:

Cascade

Now we need to delete schemas that consist of tables and functions just add cascade clauses.

See below snapshot both schema testschema and dbms_schema shows in the list.

Output:

PostgreSQL Drop Schema 9

Now we execute the same statement. Just add the cascade clause at the end of the statement.

Code:

DROP SCHEMA                 testschema,                dbms_schema       cascade;

Illustrate the end result of the above declaration by using the use of the following snapshot.

Output:

PostgreSQL Drop Schema 10

When we perform drop schema using cascade clause notice that it delete testschema and dbms_schema as well as two other objects or table such as emp and student. Illustrate the end result of the above declaration by using the use of the following snapshot.

Output:

PostgreSQL Drop Schema 12

4. Drop Multiple Schema

In this method, we are able to delete multiple schemas at the same time by using below two syntaxes as follows:

Syntax:

drop schema if exists schema name1,         schema name 2;

Explanation:

  • In the above syntax if exists a clause with two schema names, if both schema names are present in the database then it can be deleted otherwise it shows an error message.

Example:

Code:

drop schema     if exists   demo,  demo1;

In the above statement both schema present in the database, so drop schema statement deletes both schemas. Illustrate the end result of the above declaration by using the use of the following snapshot.

Output:

Multiple

Syntax:

drop schema        schema_1,  schema_2;

Explanation:

  • In the above syntax, we execute a drop schema statement with if exists.

Example:

Code:

drop schema                     test1,               test2;

Illustrate the end result of the above declaration by using the use of the following snapshot.

Output:

Multiple

Illustrate the end result of the above statement before the execution of the above statement as shown in the snapshot.

Output:

PostgreSQL Drop Schema 16

Conclusion

From the above article, we saw how we use can drop schema from the database along with different methods of drop schema like drop schema, drop schema if exists and how we can drop multiple schemas and drop schema cascade with different examples. From this article, we saw how we can handle operation correctly because drop schema is a permanent operation.

Recommended Articles

This is a guide to PostgreSQL Drop Schema. Here we discuss the introduction and how to drop schema in PostgreSQL using various methods? You may also have a look at the following articles to learn more –

  1. PostgreSQL Replication
  2. PostgreSQL TEXT
  3. PostgreSQL MOD()
  4. PostgreSQL TO_DATE()
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