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CHAPTER 14 PARALLEL EXECUTION
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you do some conventional path inserts into these tables also, UNIFORM allocation will permanently have additional free space in it that it will never use. Unless you can size the extents for the UNIFORM LMT to be much smaller, you will see what I term excessive wastage over time and remember that this space is associated with the segment and will be included in a full scan of the table. To demonstrate this, let s do another parallel direct path load into these existing tables, using the same inputs: ops$tkyte@ORA10GR1> alter session enable parallel dml; Session altered. ops$tkyte@ORA10GR1> insert /*+ append */ into UNIFORM_TEST 2 select * from big_table_et; 10000000 rows created. ops$tkyte@ORA10GR1> insert /*+ append */ into AUTOALLOCATE_TEST 2 select * from big_table_et; 10000000 rows created. ops$tkyte@ORA10GR1> commit; Commit complete. If we compare the space utilization of the two tables after that operation as follows: ops$tkyte@ORA10GR1> exec show_space( 'UNIFORM_TEST' ); Free Blocks............................. 118,463 Total Blocks............................ 409,600 Total Bytes............................. 3,355,443,200 Total MBytes............................ 3,200 Unused Blocks........................... 0 Unused Bytes............................ 0 Last Used Ext FileId.................... 6 Last Used Ext BlockId................... 281,609 Last Used Block......................... 12,800 PL/SQL procedure successfully completed. ops$tkyte@ORA10GR1> exec show_space( 'AUTOALLOCATE_TEST' ); Free Blocks............................. 48 Total Blocks............................ 291,184 Total Bytes............................. 2,385,379,328 Total MBytes............................ 2,274 Unused Blocks........................... 0 Unused Bytes............................ 0 Last Used Ext FileId.................... 8 Last Used Ext BlockId................... 140,025 Last Used Block......................... 8 PL/SQL procedure successfully completed.
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CHAPTER 14 PARALLEL EXECUTION
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we can see that as we load more and more data into the table UNIFORM_TEST using parallel direct path operations, the space utilization gets worse over time. We would want to use a significantly smaller uniform extent size or use the AUTOALLOCATE. The AUTOALLOCATE may well generate more extents over time, but the space utilization is superior due to the extent trimming that takes place.
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Parallel Recovery
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Another form of parallel execution in Oracle is the ability to perform parallel recovery. Parallel recovery may be performed at the instance level, perhaps by increasing the speed of a recovery that needs to be performed after a software, operating system, or general system failure. Parallel recovery may also be applied during media recovery (e.g., restoration from backups). It is not my goal to cover recovery-related topics in this book, so I ll just mention the existence of parallel recovery in passing. I recommend the following Oracle manuals for further reading on the topic: Oracle Backup and Recovery Basics for information regarding parallel media recovery Oracle Performance Tuning Guide for information regarding parallel instance recovery
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Procedural Parallelism
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I would like to discuss two types of procedural parallelism: Parallel pipelined functions, which is a feature of Oracle. Do-it-yourself (DIY) parallelism, which is the application to your own applications of the same techniques that Oracle applies to parallel full table scans. DIY parallelism is more of a development technique than anything built into Oracle directly. Many times you ll find that applications typically batch processes designed to execute serially will look something like the following procedure: Create procedure process_data As Begin For x in ( select * from some_table ) Perform complex process on X Update some other table, or insert the record somewhere else End loop end In this case, Oracle s parallel query or PDML won t help a bit (in fact, parallel execution of the SQL by Oracle here would likely only cause the database to consume more resources and take longer). If Oracle were to execute the simple SELECT * FROM SOME_TABLE in parallel, it would provide this algorithm no apparent increase in speed whatsoever. If Oracle were to perform in parallel the UPDATE or INSERT after the complex process, it would have no positive affect (it is a single-row UPDATE/INSERT, after all).
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