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Another situation where it is vital that you understand read consistency and multi-versioning is when you are faced with a query that in production, under a heavy load, uses many more I/Os than you observe in your test or development systems, and you have no way to account for it. You review the I/O performed by the query and note that it is much higher than you have ever seen much higher than seems possible. You restore the production instance on test and discover that the I/O is way down. But in production, it is still very high (but seems to vary: sometimes it is high, sometimes it is low, and sometimes it is in the middle). The reason, as we ll see, is that in your test system, in isolation, you do not have to undo other transactions changes. In production, however, when you read a given block, you might have to undo (roll back) the changes of many transactions, and each rollback could involve I/O to retrieve the undo and apply it. This is probably a query against a table that has many concurrent modifications taking place; you are seeing the reads to the undo segment taking place, the work that Oracle is performing to restore the block back the way it was when your query began. You can see the effects of this easily in a single session, just to understand what is happening. We ll start with a very small table:

< php require_once('include/MVC/View/views/view.detail.php'); require_once('modules/Accounts/Account.php'); require_once('modules/ep_Jobs/ep_Jobs.php'); class ep_JobsViewDetail extends ViewDetail { public function __construct() { parent::ViewDetail(); } public function display() { $business_address = '123 Main Street Anytown, OH 44444'; $customer_address = ''; if ( !empty($this->ep_custome5229stomers_ida) ) { $bean = new Account(); $bean->retrieve($this->ep_custome5229stomers_ida); if ( !empty($bean->id) ) $customer_address = "{$bean->shipping_address_address} {$bean->shipping_address_city}, {$bean->shipping_address_state} {$bean->shipping_address_postalcode}"; } elseif ( !empty($this->ep_jobs_ac056eccounts_ida) ) { $bean = new ep_Jobs(); $bean->retrieve($this->ep_custome5229stomers_ida); if ( !empty($bean->id) ) $customer_address = "{$bean->primary_address_address} {$bean->primary_address_city}, {$bean->primary_address_state} {$bean->primary_address_postalcode}"; } $this->ss->assign("MAP_URL","http://maps.google.com/maps f=d&source=s_d&saddr= {$business_address}&daddr={$customer_address}"); parent::display(); }

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ops$tkyte%ORA11GR2> create table t ( x int ); Table created. ops$tkyte%ORA11GR2> insert into t values ( 1 ); 1 row created. ops$tkyte%ORA11GR2> exec dbms_stats.gather_table_stats( user, 'T' ); PL/SQL procedure successfully completed. ops$tkyte%ORA11GR2> select * from t; X ---------1 Now we ll set our session to use the SERIALIZABLE isolation level, so that no matter how many times we run a query in our session, the results will be as of that transaction s start time: ops$tkyte@ORA11GR2> alter session set isolation_level=serializable; Session altered. Now, we ll query that small table and observe the amount of I/O performed: ops$tkyte%ORA11GR2> set autotrace on statistics ops$tkyte%ORA11GR2> select * from t; X ---------1 Statistics ---------------------------------------------------------0 recursive calls 0 db block gets 7 consistent gets... So, that query took seven I/Os (consistent gets) in order to complete. In another session, we ll modify this table repeatedly: ops$tkyte%ORA11GR2> begin 2 for i in 1 .. 10000 3 loop 4 update t set x = x+1; 5 commit; 6 end loop; 7 end; 8 / PL/SQL procedure successfully completed.

<solution> [NAnt]

And returning to our SERIALIZABLE session, we ll rerun the same query: ops$tkyte%ORA11GR2> select * from t; X ---------1 Statistics ---------------------------------------------------------0 recursive calls 0 db block gets 10012 consistent gets ... It did 10,012 I/Os that time a marked difference. So, where did all of the I/O come from That was Oracle rolling back the changes made to that database block. When we ran the second query, Oracle knew that all of the blocks retrieved and processed by that query had to be as of the start time of the transaction. When we got to the buffer cache, we discovered that the block in the cache was simply too new the other session had modified it some 10,000 times. Our query could not see those changes, so it started walking the undo information and undid the last change. It discovered this rolled back block was still too new and did another rollback of the block. It did this repeatedly until finally it found the version of the block that was committed in the database when our transaction began. That was the block we may use and did use.

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