Home/ Questions/Simple solutions for the ''ora 00932 inconsistent datatypes expected got clob'' error.
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Silas Walsh
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Asked: 2022-05-18T19:44:57+00:00 In:

Simple solutions for the ”ora 00932 inconsistent datatypes expected got clob” error.

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Here is the program I run:

UPDATE IMS_TEST 
  SET TEST_Category = 'just testing' 
  WHERE TEST_SCRIPT = 'something'
  AND ID = '10000239'
SQL> create table ims_test(
  2 test_category varchar2(30),
  3 test_script clob,
  4 id varchar2(30)
  5 );
 
 Table created.
 
 SQL> insert into ims_test values ('test1','something','10000239');
 
 1 row created.
 
 SQL> UPDATE IMS_TEST
  2 SET TEST_Category = 'just testing'
  3 WHERE TEST_SCRIPT = 'something'
  4 AND ID = '10000239';
 WHERE TEST_SCRIPT = 'something'
  *
 ERROR at line 3:
 ORA-00932: inconsistent datatypes: expected - got CLOB

After I run, it returns an error:

*** Start Block *** 
ORA-00932: inconsistent datatypes: expected - got CLOB

Does anyone have any suggestions for the problem below: ora 00932 inconsistent datatypes expected got clob in the programs  – How to correct it?

inconsistent datatypes expected got clob
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2 Answers

  1. Best Answer
    Expert

    The cause:

    You have got the ”ora 00932 inconsistent datatypes expected got clob” error due to you are not allowed to place a CLOB in the WHERE clause. The reason is that big objects (for example, LOBs) are not encouraged in the conditions of comparison, so the error occurs.

    Solution:

    For comparisons on CLOB data, PL/SQL programs are great solution for you.

    In the case your values are not enough 4k, let’s use:

    UPDATE IMS_TEST
SET TEST_Category = 'just testing'
WHERE to_char(TEST_SCRIPT) = 'something'
AND ID = '10000239';

    If you do as my above suggestions, you will solve your error successfully. Wish you all the best!

    • 0

  2. This error also occurs when you SELECT DISTINCT ..., <CLOB_column>, ....

    You can use to_char(<CLOB_column>) to combine multiple calls to DBMS_LOB.SUBSTR(<CLOB_column>, ...) if this CLOB column contains shorter values than the limit for VARCHAR2 in all applicable rows.

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