Download Oracle8i internal services for waits, latches, locks and by Steve Adams PDF
By Steve Adams
Convinced, the ebook used to be written whilst Oracle 8i used to be round, however it is easily definitely worth the learn even today.
Adams is aware how Oracle works and explains the waits, latches and locks pretty much. I particularly loved the bankruptcy on reminiscence.
I discovered much from this publication. This used to be funds good spent.
Read or Download Oracle8i internal services for waits, latches, locks and memory PDF
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Additional resources for Oracle8i internal services for waits, latches, locks and memory
The library cache objects for pipes and sequences are most subject to change. When a library cache object is pinned, pins are applied to all referenced objects in turn. When a pin is applied to the library cache object for a database object, then a corresponding row cache enqueue lock is acquired on the underlying data dictionary row, thereby preventing conflicting DDL. Every object in the library cache has a handle that acts as the resource structure for library cache locks and pins. The handle, lock, and pin structures are all dynamically allocated within the shared pool.
7 ITL Entry Shortages There is an interested transaction list (ITL) in the variable header of each Oracle data block. When a new block is formatted for a segment, the initial number of entries in the ITL is set by the INITRANS parameter for the segment. Free space permitting, the ITL can grow dynamically if required, up to the limit imposed by the database block size, or the MAXTRANS parameter for the segment, whichever is less. Every transaction that modifies a data block must record its transaction identifier and the rollback segment address for its changes to that block in an ITL entry.
Diagnosing such situations and working out which session to kill is not easy, because the diagnosis depends on the order of the waiters. Most blocking lock detection utilities do not show the request order, and do not consider that a waiter can block other sessions even when it is not actually holding any locks. sql shows the locks held and wanted for each resource in order, together with the number of seconds that the lock has been held or wanted. sql. Application developers can greatly reduce the risk of blocking lock problems by adopting an optimistic locking strategy (see the sidebar, "Optimistic Locking"), and by cultivating an aversion to coarse granularity locking and so designing their applications to run without DML locks.