However, SQL Server offers the sp_refreshsqlmodule system procedure. So, we can’t use the provided script as the primary one. Moreover, the script will not work on SQL Server 2005. We will get an error while executing the storage procedure: Msg 207, Level 16, State 1, Procedure usp_Procedure, Line 6 The main problem is that the script does not show objects with invalid columns or parameters. The script is useful for the primary analysis. = ISNULL(SCHEMA_ID(d.referenced_schema_name), SCHEMA_ID()) SELECT 1 FROM sys.xml_schema_collections xĪND x. ![]() ![]() ISNULL(d.referenced_schema_name, SCHEMA_NAME()) + '.' + d.referenced_entity_name) ISNULL(QUOTENAME(d.referenced_schema_name), SCHEMA_NAME()) + '.' + ISNULL(QUOTENAME(d.referenced_database_name), DB_NAME()) + '.' + JOIN sys.objects o ON d.referencing_id = o.ĪND d.referenced_server_name IS NULL - ignore objects from Linked serverĪND CASE d.referenced_class - if does not exist ![]() Obj_name = QUOTENAME(SCHEMA_NAME(o.)) + '.' + QUOTENAME(o.name) This is extremely inconvenient, though.įor that reason, let’s create a script that will search invalid objects: SELECT In most cases, you need to execute a script to make sure the object is invalid. SQL Server doesn’t allow finding mismatched objects directly. Find out more on how best to recompile invalid objects with this tool here. If you experience difficulties trying to search for and fix invalid objects manually, dbForge Studio for Oracle may come to your aid as it offers extensive functionality allowing you to reduce the number of errors and rename the objects without breaking dependencies between them. The information you will receive will help you decide what step you should take next to recompile the objects. Let us show you how to get a list of invalid objects in Oracle with the following query: SELECT owner, object_type, object_name The solution is to find these objects and apply different methods to recompile them. As a rule, they are recompiled automatically on demand, however, this can be very time-consuming, especially when it comes to complex dependencies. Since Oracle is an intricate and interrelated database, it is often the case that some objects reliant on one another become ‘invalid’. Depending on the database you use, you can choose from the scripts provided below to find invalid objects. In both cases, it is crucial to find out the reason and identify these objects in your database before further issues can occur. ![]() This is especially true when the change on the referenced object results in an error in the calling object, thus the latter cannot be recompiled. For instance, there is not much reason to worry about invalid materialized views since they become valid as soon as you add data to the underlying tables.Īlternatively, other objects indicate serious latent issues and cannot be successfully recompiled. Some of them are pretty harmless, so you can fix them with a simple action or a recompilation, which is normally automatically performed by a database when the object is accessed. The thing is invalid objects are rather ambiguous. But a really good way to work with them is to perform regular checks on the presence of mismatched objects before and after you introduce changes or upgrade. You will often discover invalid objects when you run preparation scripts, perform data export or import, upgrade or apply patches. When you attempt to use an invalid object, it will throw an error. For instance, you should be careful with synonyms created on objects because when you delete an object, its synonym will get the invalid status, and if you recreate an object, its synonym has to be recompiled as well. that have a reference to non-existing objects or to objects that were changed in some way (e.g. Introductionīy invalid, we usually mean different types of objects such as synonyms, functions, packages, procedures, views, etc. The administrator can use the CHECKDB command to easily verify data consistency however, in case they need to find an invalid object in a database schema, some difficulties may occur. DBA has a number of duties that are primarily targeted at supporting database performance capabilities and data consistency.
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