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By automatically analyzing performance data for you, the ADDM relieves you of the responsibility of catching a problem at the right time to collect statistics. By default, the AWR collects new performance statistics in the form of an hourly snapshot and saves these snapshots for eight days before purging them. An AWR snapshot is a collection of database performance statistics at a single point in time, including statistics for resource-intensive SQL statements. Every time the AWR takes a new snapshot, the ADDM runs automatically, does its top-down system analysis, and reports its findings on the Database Control home page. The ADDM s output consists of a description of each performance problem it identifies, along with the recommended action. The recommendations are ranked by the expected benefit of implementing each of them. You can view the regular ADDM reports from the OEM Database Control or view them from a SQL*Plus session with the help of an Oracle-supplied SQL script. The ADDM runs automatically, but you can also manually invoke the tool to investigate problems that occur in between the scheduled snapshots. Oracle stores the ADDM analyses in the Sysaux tablespace.

Type ---------------------------BLOB VARCHAR2(4000) VARCHAR2(4000)

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The basic rationale behind the ADDM is to reduce a key database metric called DB time, which is the total time (in microseconds) the database spends actually processing users requests. DB time includes the total amount of time spent on actual database calls (at the user level) and it ignores time spent on background processes. DB time includes both the wait time and processing time (CPU time), but doesn t include the idle time incurred by your processes. For example, if you spend an hour connected to the database and you re idle for 58 of those minutes, the DB time is only 2 minutes. If a problem contributes to inappropriate or excessive DB time, ADDM automatically flags it as an issue needing attention. If there is a problem in your system, but it doesn t contribute significantly to the DB time, ADDM will simply ignore it. Thus, the ADDM is focused on the single mantra: reduce DB time. The ADDM aims to increase the throughput of your database, thereby serving more users with the same amount of resources.

There are few complex, large-scale, huge applications (we buy most of those today: our HR systems, our ERP systems, and so on), but there are thousands of small applications We need to use the proper approach and tools for the job I will always go with the simplest architecture that solves the problem completely over a complex one any day The payback can be enormous Every technology has its place Not every problem is a nail, so we can use more than a hammer in our toolbox..

The ADDM analyzes the AWR snapshots every hour by default, comes up with performance recommendations, and ranks them in terms of the expected benefit of implementing the various actions. These are some of the key problems that the ADDM diagnoses: Expensive SQL statements I/O performance issues Locking and concurrency issues Excessive parsing Resource bottlenecks, including memory and CPU bottlenecks Undersized memory allocation Connection management issues, such as excessive logon/logoff activity

Note You could issue SET DESC DEPTH ALL or SET DESC DEPTH <n> in SQL*Plus to have the entire hierarchy displayed at once. Given that the output for the ORDSYS.ORDIMAGE would have been many pages long, I chose to do it piece by piece.

Notice that in this input file, the newlines (\n) are not there to indicate where the end of the record for SQLLDR is; rather, they are just data to be loaded in this case. SQLLDR is using the FIX width of 80 bytes to figure out how much data to read. In fact, if we look at the input data, the records for SQLLDR are not even terminated by \n in this input file. The character right before department 20 s record is a space, not a newline.

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