Runtime Statistics in Visual Studio .NET

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The last set of parameters do not directly affect the server performance, but allow you to configure the server so that it logs performance data for you to analyze The Runtime Statistics section of the postgresqlconf configuration file allows you to enable several different performance logs, as described next
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log_statement_stats = on
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Setting this parameter to on enables logging statistics for each SQL command processed by the database engine It is not hard to see that, for busy databases, this could lead to an enormous amount of data The logging entries are placed in the standard PostgreSQL log file in the pg_log directory (see 3) A statement entry looks like this:
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2006-08-30 12:09:40 DETAIL: ! system usage stats: ! 0031000 elapsed 0000000 user 0000000 system sec ! [0078125 user 0078125 sys total] ! buffer usage stats: ! Shared blocks: 11 read, 0 written, buffer hit rate = 272% ! Local blocks: 0 read, 0 written, buffer hit rate = 000% ! Direct blocks: 0 read, 0 written
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These statistics show how much time the query took, how much data was read and written, and how much of the data was already contained in buffers The buffer hit rate is an important factor in query performance The more information the PostgreSQL server can retrieve from memory buffers, the faster the query will perform While the log_statement_stats parameter logs statistics for an entire SQL command, there are three other parameters that can log statistics for individual components within the database engine process:
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log_parser_stats = off log_planner_stats = off log_executor_stats = off
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If any of these three parameters is enabled, you must disable the log_statement_ stats parameter, or an error condition will occur Each of these parameters can be used to log query statistics during the parsing, planning, and executing phases of the database engine The statistics produced are placed in the currently active PostgreSQL server log file
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Instead of changing the run-time statistics settings in the configuration file and restarting the PostgreSQL server, you can change the values on-the-fly in psql using the set_config command:
SELECT set_config(config, value, is_local);
The config parameter is the name of the configuration parameter, and value is the parameter value, either on or off The is_local parameter defines whether the setting applies to the current transaction (true) or the entire psql session (false):
SELECT set_config('log_statement_stats', 'on', 'false')
This command enables statement statistics logging for the remainder of the psql session Using this feature, you can enable logging for a single transaction, then turn logging off This prevents you from having to pour over thousands of lines of logging information looking for the transaction stats
SUMMARY
Database performance is an important topic for administrators The key to database performance is often the queries used to produce reports The ability to analyze queries and see how they are processed by the database engine is a vital tool in evaluating database performance PostgreSQL supports the EXPLAIN SQL command to allow you to view how the database engine processes a query You can view each step taken to produce the result set, and see the time required to complete the step Using this information, it is often possible to either create objects, such as index files, or rewrite queries to utilize other factors to increase performance Finally, the chapter discussed some of the parameters available in the postgresql conf configuration file that affect database performance There are several parameters that control how the database engine processes queries, along with several parameters that control how the PostgreSQL server handles system resources, such as memory Knowing how to fine-tune these parameters can often help increase the performance of the PostgreSQL server in your database environment The next (and final) part of this book deals with how to use PostgreSQL in your Windows programming environment There are several different programming languages that PostgreSQL supports The final chapters in this book provide details on how to use PostgreSQL as a back-end database in four different Windows programming environments 12 discusses how to migrate your Microsoft Access databases to PostgreSQL, and how to use Microsoft Access as a front end to a PostgreSQL database
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