How to exclude a single table in impdp?
How to exclude a single table in impdp?
Below is the syntax for excluding a single, named table in impdp: impdp system/manager exclude=table:”=’EXC_TAB'”. The question is how to use the object name filter. This syntax should allow you to combine multiple filtering conditions together in impdp data pump:
How to create an expfull.dmp dump file?
You can create the expfull.dmp dump file used in this command by running the example provided for the Export FULL parameter. See ” FULL “. All data from the expfull.dmp dump file will be loaded except for functions, procedures, packages, and indexes whose names start with emp.
How to exclude an object from the import job?
Enables you to filter the metadata that is imported by specifying objects and object types to exclude from the import job. EXCLUDE= object_type [: name_clause] [.] The object_type specifies the type of object to be excluded.
Which is an example of excluding a table?
For example, excluding a table will also exclude all indexes and triggers on the table. The name_clause is optional. It allows fine-grained selection of specific objects within an object type.
How to exclude a specific user in Oracle?
To exclude a specific user and all objects of that user, specify a command such as the following, where hr is the schema name of the user you want to exclude. impdp FULL=YES DUMPFILE=expfull.dmp EXCLUDE=SCHEMA:”=’HR'” Note that in this situation, an import mode of FULL is specified.
How to exclude a table in data pump?
Example#1. Command to exclude tables name starts with EXAM Example#2. Command to exclude tables EMP1 and DEPT Example#3. Command to Exclude all sequence, procedures, indexes and tables EMP1 AND DEPT EXCLUDE or INCLUDE parameters can be used in the parameter file for the data pump.
What is the error ” exclude not include ” in Oracle?
The error refers to EXCLUDE, not INCLUDE: ORA-39071: Value for EXCLUDE is badly formed and it is indeed that which is wrong. You’re trying to use equality with multiple values; you just need to use an IN()again:
