Altering a column to be nullable

Sql

Sql Problem Overview


I want to alter a table column to be nullable. I have used:

ALTER TABLE Merchant_Pending_Functions Modify NumberOfLocations NULL

This gives an error at Modify. What is the correct syntax?

Sql Solutions


Solution 1 - Sql

Assuming SQL Server (based on your previous questions):

ALTER TABLE Merchant_Pending_Functions ALTER COLUMN NumberOfLocations INT NULL

Replace INT with your actual datatype.

Solution 2 - Sql

If this was MySQL syntax, the type would have been missing, as some other responses point out. Correct MySQL syntax would have been:

ALTER TABLE Merchant_Pending_Functions MODIFY NumberOfLocations INT NULL

Posting here for clarity to MySQL users.

Solution 3 - Sql

In PostgresQL it is:

ALTER TABLE tableName ALTER COLUMN columnName DROP NOT NULL;

Solution 4 - Sql

for Oracle Database 10g users:

alter table mytable modify(mycolumn null);

You get "ORA-01735: invalid ALTER TABLE option" when you try otherwise

ALTER TABLE mytable ALTER COLUMN mycolumn DROP NOT NULL;

Solution 5 - Sql

Although I don't know what RDBMS you are using, you probably need to give the whole column specification, not just say that you now want it to be nullable. For example, if it's currently INT NOT NULL, you should issue ALTER TABLE Merchant_Pending_Functions Modify NumberOfLocations INT.

Solution 6 - Sql

As others have observed, the precise syntax for the command varies across different flavours of DBMS. The syntax you use works in Oracle:

SQL> desc MACAddresses
 Name                                      Null?    Type
 ----------------------------------------- -------- ----------------------------
 COMPUTER                                           NUMBER
 MACADDRESS                                         VARCHAR2(12)
 CORRECTED_MACADDRESS                      NOT NULL VARCHAR2(17)

SQL> alter table MACAddresses
  2       modify corrected_MACAddress null
  3  /

Table altered.

SQL> desc MACAddresses
 Name                                      Null?    Type
 ----------------------------------------- -------- ----------------------------
 COMPUTER                                           NUMBER
 MACADDRESS                                         VARCHAR2(12)
 CORRECTED_MACADDRESS                               VARCHAR2(17)

SQL>

Solution 7 - Sql

This depends on what SQL Engine you are using, in Sybase your command works fine:

ALTER TABLE Merchant_Pending_Functions 
Modify NumberOfLocations NULL;

Solution 8 - Sql

Oracle

> ALTER TABLE Merchant_Pending_Functions MODIFY([column] NOT NULL);

Solution 9 - Sql

For HSQLDB:

ALTER TABLE tableName ALTER COLUMN columnName SET NULL;

Solution 10 - Sql

ALTER TABLE Merchant_Pending_Functions MODIFY COLUMN `NumberOfLocations` INT null;

This will work for you.

If you want to change a not null column to allow null, no need to include not null clause. Because default columns get not null.

ALTER TABLE Merchant_Pending_Functions MODIFY COLUMN `NumberOfLocations` INT;

Solution 11 - Sql

SQLite

The ALTER TABLE command is a bit special. There is no possibility to modify a column. You have to create a new column, migrate the data, and then drop the column:

-- 1. First rename
ALTER TABLE
    Merchant_Pending_Functions
RENAME COLUMN
    NumberOfLocations
TO
   NumberOfLocations_old

-- 2. Create new column
ALTER TABLE
    Merchant_Pending_Functions
ADD COLUMN
    NumberOfLocations INT NULL

-- 3. Migrate data - you need to write code for that
-- 4. Drop the old column
ALTER TABLE
    Merchant_Pending_Functions
DROP COLUMN
    NumberOfLocations_old

Solution 12 - Sql

Make sure you add the data_type of the column to modify.

ALTER TABLE TABLE_NAME MODIFY COLUMN_NAME DATA_TYPE NULL;

Attributions

All content for this solution is sourced from the original question on Stackoverflow.

The content on this page is licensed under the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.

Content TypeOriginal AuthorOriginal Content on Stackoverflow
QuestionchallengeAcceptedView Question on Stackoverflow
Solution 1 - SqlQuassnoiView Answer on Stackoverflow
Solution 2 - SqldjjeckView Answer on Stackoverflow
Solution 3 - SqlPaul LeBeauView Answer on Stackoverflow
Solution 4 - SqlIgor S.View Answer on Stackoverflow
Solution 5 - SqlHammeriteView Answer on Stackoverflow
Solution 6 - SqlAPCView Answer on Stackoverflow
Solution 7 - SqlZORRO_BLANCOView Answer on Stackoverflow
Solution 8 - SqlRodrigo ItursarryView Answer on Stackoverflow
Solution 9 - SqlLibor B.View Answer on Stackoverflow
Solution 10 - Sqlchamzz.dotView Answer on Stackoverflow
Solution 11 - SqlMartin ThomaView Answer on Stackoverflow
Solution 12 - SqlabrahamView Answer on Stackoverflow