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CHAPTER 8 TRANSACTIONS
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Starting with Oracle Database 10g Release 2 and above, you may add a WRITE clause to your COMMIT statements. The WRITE clause allows the commit to either WAIT for the redo you generated to be written to disk (the default) or NOWAIT to not wait for the redo to be written. The NOWAIT option is the new capability a capability that must be used carefully, with forethought, and with understanding of exactly what it means. Normally, a COMMIT is a synchronous process. Your application invokes COMMIT and then your application waits for the entire COMMIT processing to be complete (what that entails exactly will be covered in detail in 9, Redo and Undo ). This is the behavior of COMMIT in all the database releases before Oracle 10g Release 2 and is the default behavior in Oracle 10g Release 2 and above. In current releases of the database, instead of waiting for the commit to complete, which may take measurable time since a commit involves a physical write a physical IO to the redo log files stored on disk, you may have the commit performed in the background, without waiting for it. That comes with the side-effect that your commit is no longer assured to be durable. That is, your application may get a response back from the database that the asynchronous commit you submitted was received, other sessions may be able to see your changes, but later find that the transaction you thought was committed was not. This situation will occur only in very rare cases and will always involve a serious failure of the hardware or software. It requires the database to be shutdown abnormally in order for an asynchronous commit to not be durable, meaning the database instance or computer the database instance is running on would have to suffer a complete failure. So, if transactions are meant to be durable, what is the potential use of a feature that might make them possibly not durable Raw performance. When you issue a COMMIT in your application, you are asking the LGWR process to take the redo you ve generated and ensure that it is written to the online redo log files. Performing physical IO, which this process involves, is measurably slow; it takes a long time, relatively speaking, to write data to disk. So, a COMMIT may well take longer than the DML statements in the transaction itself! If you make the COMMIT asynchronous, you remove the need to wait for that physical I/O in the client application, perhaps making the client application appear faster especially if it does lots of COMMITs. This might suggest that you d want to use this COMMIT WRITE NOWAIT all of the time after all isn t performance the most important thing in the world No, it is not. Most of the time, you need the durability achieved by default with COMMIT. When you COMMIT and report back to an end user we have committed, you need to be sure that the change is permanent. It will be recorded in the database even if the database/hardware failed right after the COMMIT. If you report to an end user that Order 12352 has been placed, you need to make sure that Order 12352 was truly placed and persistent. So, for most every application, the default COMMIT WRITE WAIT is the only correct option (note that you only need say COMMIT the default setting is WRITE WAIT). When would you want to use this new capability to commit without waiting then Three scenarios come to mind: A custom data load program. It must be custom, since it will have additional logic to deal with the fact that a commit might not persist a system failure. An application that processes a live data feed of some sort, say a stock quote feed from the stock markets that inserts massive amounts of time-sensitive information into the database. If the database goes offline, the data stream keeps on going and the data generated during the system failure will never be processed (Nasdaq does not shut down because your database crashed, after all!). That this data is not processed is OK, because the stock data is so time-sensitive, after a few seconds it would be overwritten by new data anyway. An application that implements its own queuing mechanism, for example one that has data in a table with a PROCESSED_FLAG column. As new data arrives, it is inserted with a value of PROCESSED_FLAG='N' (unprocessed). Another routine is
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