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I then used DBMS_XPLANDISPLAY_CURSOR to review just the execution plan data, as shown in Listing 7-4 Listing 7-4 Using DISPLAY_CURSOR to Display Execution Plan Data -----------------------------------------------------------------------------------| Id | Operation | Name | Starts | A-Rows | A-Time | Buffers | -----------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 1 | 24294 |00:0010 | 24472 | | 1 | TABLE ACCESS BY INDEX ROWID| BOM | 1 | 24294 |00:0010 | 24472 | |* 2 | INDEX RANGE SCAN | BOM_N1 | 1 | 24294 |00:0002 | 12208 | -----------------------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------2 - access("ITEM_ID"=11 AND "ORG_ID"=2) Just so you can also see how this information looks in the trace file, Listing 7-5 shows the STAT lines Listing 7-5.

There are many reasons for CBC latch contention It is impossible to discuss every possible cause, but following are the most common of them: Longer cache buffers chains It is possible that (at least, in Oracle Database versions prior to 9i) numerous buffers can be chained together into one hash chain Processes that inspect this chain must hold the latch for a longer time, as many buffer headers must be inspected That longer hold time leads to contention for CBC latches Even if the processes are trying to access completely different objects, because the same latch is protecting all buffer headers linked in that hash chain, that child latch can inadvertently cause latch contention This problem is mostly resolved from Oracle Database version 10g, since the number of hash buckets2 configured by default increased dramatically in that release Heavy concurrent access of an index root block or branch blocks.

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subheaps allocated for the shared pool, and setting it to 1 allocates just one shared pool heap with just one shared pool latch. This means that the shared pool latch becomes a solitaire latch, and this can lead to shared pool latch contention. After a software upgrade, it is prudent to remove this underscore parameter and check whether the original problem is encountered.

STAT Lines from the Extended SQL Trace Data STAT #6 id=1 cnt=24294 pid=0 pos=1 obj=71478 op="TABLE ACCESS BY INDEX ROWID BOM (cr=24472 pr=0 pw=0 time=100007 us cost=285 size=1481934 card=24294)" STAT #6 id=2 cnt=24294 pid=1 pos=1 obj=71480 op="INDEX RANGE SCAN BOM_N1 (cr=12208 pr=0 pw=0 time=39970 us cost=60 size=0 card=24294)" Now what Is 1 second acceptable Well, I expect this query to execute hundreds or thousands of times every hour, and it is not reasonable for a single execution to take a second But if you look at the plan statistics, you ll notice that the A-Time column is showing only 1 centisecond of elapsed time consumed to access 1,252 buffers and retrieve 24,294 rows A centisecond seems reasonable It appears that the correct index was used because the index returned only the rowids that the parent table access step acquired and kept.

The Brightkite native application included Address Book integration as the basis for the Discover and Invite feature. The feature allows users to easily locate existing friends on the Brightkite service and to invite friends to the service as well. Unlike using Core Location, accessing the Address Book from a native iPhone application does not require user permission. However, to protect potentially sensitive information in a user s Address Book, we made several design choices to better inform the user. First, Discover and Invite contains complex descriptive text (see the following illustration), which details the exact process to the user. Additionally, the Discover and Invite workflow requires the user to conduct several actions, such as selecting specific Brightkite-serviced friends to locate or inviting specific friends to join the service. The workflow includes button labels, such as Next and Send, which precisely describe immanent activity to the user.

In a tight, nested-loops join based upon a unique or primary key, the associated index s root block must be accessed very frequently Consider the access path shown in Listing 12-8 For each row from the outer row source at step 130, probe the inner table through a unique key column To find a specific join key, the database engine will access the root block of the RCV_SHIPMENT_HEADERS_U1 index Next, the engine will access branch blocks, and then leaf blocks If the query is executed by hundreds of concurrent processes, then each of those processes will access the root/branch/leaf blocks thousands of times per second That heavy concurrent access can result in numerous processes trying to access the hash chain looking for the root block of the index, in turn leading to CBC latch contention Listing 12-8.

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