Adding New Column to Large Tables with Default/Initialization

 

Alter Table Add Column with a separate Update or Alter Table Add Column with Default takes a long time for large tables.

Why it takes long?

  • The update (esp. on tables with many millions of rows) is the issue here. When a default is specified, all rows need to be updated.
  • Updating large amount of rows will 1) take a very long time, 2) fill up the undo segments, 3) generates a large amount of redo. This can be a big overhead.

What can be done?

  • See if the column with default can be NOT NULL.
  • Alter Table Add Column with Default Not Null works fast as it is a data dictionary operation only.

Please see below:

—Create a table with 2 million rows

SQL> CREATE TABLE test AS SELECT LEVEL id,DBMS_RANDOM.string (‘x’, DBMS_RANDOM.VALUE (20, 50)) name, SYSDATE – DBMS_RANDOM.VALUE (1, 365) dt FROM DUAL CONNECT BY LEVEL <= 2000000;

Table created.

Approach#1) Alter Table and Separate Update to initialize all rows

SQL> ALTER TABLE test ADD ind_flag VARCHAR2(2);

Table altered.

Elapsed: 00:00:00.14

SQL> UPDATE TEST 2 SET IND_FLAG =’AC’;

2000000 rows updated.

Elapsed: 00:00:30.47

Approach#2) Alter Table with Default

SQL> ALTER TABLE test ADD ind_flag_dflt VARCHAR2(2) DEFAULT ‘AC’;

Table altered.

Elapsed: 00:00:49.40

Approach#3) Alter Table with Default and NOT NULL

SQL> ALTER TABLE test ADD ind_flag_dflt_nn VARCHAR2(2) DEFAULT ‘AC’ NOT NULL;

Table altered.

Elapsed: 00:00:00.07

Approach #3 is instantaneous. But #1 and #2 takes more than half a minute.

  • If the new NOT NULL column can have a DEFAULT value, then it is a data dictionary operation that is instantaneous.
  • Feature available from 11g.

113 thoughts on “Adding New Column to Large Tables with Default/Initialization”

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