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Once it starts executing a SQL statement, an Oracle process doesn t always get to work on the execution of the statement without any interruptions. Often, the process has to pause or wait for some resource to be released before it can continue its execution. Thus, an active Oracle process is doing one of the following at any given time: The process is executing the SQL statement. The process is waiting for something (for example, a resource such as a database buffer or a latch). It could be waiting for an action such as a write to the buffer cache to complete. That s why the response time the total time taken by Oracle to finish work is correctly defined as follows: response time = service time + wait time When you track the total time taken by a transaction to complete, you may find that only part of that time was taken up by the Oracle server to actually do something. The rest of the time, the server may have been waiting for some resource to be freed up or waiting for a request to do something. This busy resource may be a slow log writer or a database writer process. The wait event may also be due to unavailable buffers or latches. The wait events in the V$SYSTEM_EVENT view (instancelevel waits) and the V$SESSION_EVENT view (session-level waits) tell you what the wait time is due to (full table scans, high number of library cache latches, and so on). Not only do the wait events tell you what the wait time in the database instance is due to, but they also tell you a lot about bottlenecks in the network and the application.

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It s important to understand that the wait events are only the symptoms of problems, most likely within the application code. The wait events show you what s slowing down performance, but not why a certain wait event is showing up in large numbers. It s up to you to investigate the SQL code to find out the real cause of the performance problems.

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We begin by checking the program usage: if( args.length != 1 ) { System.err.println( "Usage: java <program_name> <database_name>"); Runtime.getRuntime().exit(1); } Connection conn = null; try { Inside the try catch block, the first thing we do is get a connection to the database (the first command-line parameter is the database SID): conn = JDBCUtil.getConnection("benchmark", "benchmark", args[0] ); The function _demoQueryWithPreparedStmt() takes a connection object and a query string that selects an item from the object table item_table. Because in this table there is only one column, and that column is an object type, we need to use the value() function to extract the object value: _demoQueryWithPreparedStmt( conn, "select value(it) from item_table it" ); Next, we invoke the same function, but this time with a query string that selects an item from the table manufactured_item_table. Because in this table the object column is not the only one, we do not need to use the value() function to extract the object value: _demoQueryWithPreparedStmt( conn, "select m.manufactured_item from manufactured_item_table m" ); The next function simply invokes the procedure get_items, which returns a ref cursor, from which we extract objects as Struct Java objects: _demoQueryWithCallableStmt( conn, "begin item_pkg.get_items( ); end;" ); The final commented code invokes the procedure get_item(), which returns an item object as an out parameter. As noted earlier, this won t work as expected due to a bug in both Oracle 10g Release 1 and 9i Release 2: /* the following gives an error in both 10g Release 1 and 9i Release 2. _demoStructWithCallableStmtGivesError( conn, "begin item_pkg.get_item( ); end;" ); */ } finally { // release resources in the finally clause. JDBCUtil.close( conn ); } }

Four dynamic performance views contain wait information: V$SESSION, V$SYSTEM_EVENT, V$SESSION_EVENT, and V$SESSION_WAIT. These four views list just about all the events the instance was waiting for and the duration of these waits. Understanding these wait events is essential for resolving performance issues. Let s look at the common wait events in detail in the following sections. Remember that the four views show similar information but focus on different aspects of the database, as you can see from the following summary. The wait events are most useful when you have timed statistics turned on. Otherwise, the wait events only have the number of times they occurred, not the length of time they consumed. Without timing the events, you can t tell if a wait event was indeed a contributing factor in a system slowdown.

Tip Use the wait event views (wait interface) for examining current and recent performance issues in your instance. For comprehensive analysis of most performance problems, you need to use the ADDM, which analyzes the AWR hourly snapshots.

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