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You can see that there were only four hard parses with the bind variable approach, but over 10,000 hard parses without bind variables (once for each of the inserts). But that is just the tip of the iceberg. You can see here that twice as many latches were used in the non bind variable approach than when using bind variables. This is because in order to modify this shared structure, Oracle must take care to allow only one process in at a time (it is very bad if two processes or threads attempt to update the same in-memory data structure simultaneously corruption would abound). So, Oracle employs a latching mechanism, a lightweight locking device, to serialize access. Don t be fooled by the word lightweight these are serialization devices, allowing one-at-a-time, short duration access to a data structure. The latches overused by the hard-parsing implementation are among the most used latches out there. The latch into the shared pool and the latch for the library cache are big-time latches; they re the ones that people compete for frequently. What that means is that as we increase the number of users attempting to hard-parse statements simultaneously, our performance problem will get progressively worse over time. The more people parsing, the more people fighting for the right to latch the shared pool, the longer the queues, the longer the wait.

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You can then generate barcodes using fonts on your favorite applications such as Microsoft Word, Microsoft Excel, Adobe PDF, printing press software or other ...

WHEN OTHERS nor explicitly code what Oracle already provides as far as transaction semantics is concerned.

Oracle Database 11g allows you to link directly from the OEM to the Oracle MetaLink service, which means that OEM can automatically track patches. If you want to receive an alert when the OEM

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; SQL> ALTER TABLE test READ ONLY; Once you place a table in read-only mode, the database won t permit the following operations on that table: TRUNCATE TABLE SELECT FOR UPDATE Any DML operations ALTER TABLE ADD/MODIFY/RENAME/DROP COLUMN ALTER TABLE SET COLUMN UNUSED ALTER TABLE DROP/TRUNCATE/EXCHANGE (SUB)PARTITION ALTER TABLE UPGRADE INCLUDING DATA or ALTER TYPE CASCADE INCLUDING TABLE DATA for a type with read-only table dependents Online redefinition FLASHBACK TABLE You can perform the following operations on a read-only table: SELECT CREATE/ALTER/DROP INDEX ALTER TABLE ADD/MODIFY/DROP/ENABLE/DISABLE CONSTRAINT ALTER TABLE for physical property changes ALTER TABLE MOVE RENAME TABLE and ALTER TABLE RENAME TO DROP TABLE You can return a table to the normal read-write status by specifying the READ WRITE clause in the ALTER TABLE statement, as shown here: SQL> ALTER TABLE test READ WRITE;

transactions or Data Guard in maximum availability mode. Since there are two participants, PL/SQL must wait for the commit to actually be complete before continuing on.

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Aug 12, 2010 · How to create EAN-13 barcode in Microsoft Excel 2007 using Strokescribe ActiveX component ...Duration: 0:55 Posted: Aug 12, 2010

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Here, by mimicking the work Oracle normally does for us with the SAVEPOINT, we are able to restore the original behavior while still catching and ignoring the error. I provide this example for illustration only; this is an exceedingly bad coding practice.

You can compress data in a table to save disk space and reduce memory usage, besides speeding up query performance. There is some overhead associated with table compression when you re loading data or performing DML operations, however. You can use table compression for both data warehousing applications, which involve primarily read-only operations, as well as OLTP systems, which include heavy DML operations. You can perform insert, delete, and update operations on compressed tables. To reduce your overhead, try to compress data that is mostly used for read-only operations and that is infrequently updated. Historical data and archival data are good candidates for table compression. When the database compresses a table, it eliminates all duplicate values in a data block. The database stores all duplicate values in the table at the beginning of the block, in a symbol table for the block. The database replaces multiple occurrences of the duplicate data with a short reference to the symbol table. You can perform all operations that you can perform on a normal table on a compressed table. You can compress tables and materialized views. You can also compress only some of the partitions of a partitioned table. Oracle offers tablespace compression as well. If you compress a tablespace, all tables you create in that tablespace are automatically compressed.

The entire goal of a transaction, a set of SQL statements executed together as a unit of work, is to take the database from one consistent state to another consistent state. To accomplish this goal, transactions are atomic as well the entire set of successful work performed by a transaction is either entirely committed and made permanent or rolled back and undone. Just like a statement, the transaction is an atomic unit of work. Upon receipt of success from the database after committing a transaction, you know that all of the work performed by the transaction has been made persistent.

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