What is the Logical Corruption and how to resolve it?
There are two different types of corruption possibilities in a database. Those are called physical corruption and logical corruption. Logical or data corruption is irregularity inside the data, resulting in inaccuracy and violation of critical business rules. For instance, there may be a phantom or orphaned rows, that is, child rows without parents, causing them to infringe referential integrity within the database.
Fascinatingly, logical corruption may not necessarily be reported as an Oracle error. For example, when orphaned rows exist, Oracle may not reject such rows due to referential integrity being defined but disabled those rows.
However, it is still believed a form of corruption due to basic business rules and application dependencies being violated and queries possibly returning incorrect results. Such corruption may have reasons such as the following.
Application bugs like data-load programs allow corrupt data to be loaded or load valid data in a wrong fashion, introducing logical corruption. Such bugs may result from faulted design, as well as inconsistent coding.
User or administrator errors like accidental table removal or truncation and so on.
Incomplete recovery like inconsistent point-in-time recovery mechanisms such as segment point-in-time recovery where the recovered segment is out of sync with the other segments in the schema, tablespace point-in-time recovery where the segments in the recovered tablespace are out of sync with the segments in other tablespaces.
Corrupt segments, such as indexes, that don’t have a corresponding entry for all rows in the table.
Infrequently, Oracle bugs those allowing duplicate rows to creep in, due to a corrupt unique index or errors noticed when using a specific Oracle option, such as the parallel query option or cost-based optimizer.
Identifying and resolving logical errors may need good knowledge of the application. One needs to look at the various schema and the interrelationships among them, the status of database constraints during batch runs, database options being utilized, frequency of segments being analyzed, hints used in SQL statements for example, the INDEX_DESC or INDEX_ASC hint returns incorrect rows, view definitions, privileges, and the SQL statements themselves for verifying functional accuracy.
Also, in case data is being acquired superficially for loading via batch operations, then the source data and the sequence of segments being loaded need to be examined. If the source data is very large, then the large file may be sliced and examined individually, either entirely or by random sampling.
The sequence of tables being loaded may be important, such that tables required to satisfy referential integrity may have to be loaded first.
For resolving logical corruption of metadata, you need to consult Oracle Support first and provide them with full details of corruption, including trace files and errors.
Sometimes this kind of logical corruption we can remove using RMAN block level recovery or setting of Event of error stack. Sometimes if we execute catalog and catproc sql files then both files rebuild the data dictionary database and repair corruption. But without guiding of Oracle support staff do not perform any task otherwise you would lose your data.
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