firebird database performance comparison

PrefaceSome of the feedback before several articles too theoretical lack of practical details, this article on more operability of the content bar.Note: This article is based on the background of MySQL, many of which are applicable to other relational databases and need some index knowledge.Optimize your Goals1. Reduce the number of IOIo is always the most vulnerable to the database, which is determined by the responsibility of the

, you can do this by setting: Tools, Options 3. View the Execution plan Select the query statement and click First, the Database design optimization 1. Do not use cursors. Using cursors not only takes up memory, but also locks tables in incredible ways, so that all the performance optimizations that DBAs can do are equal to not being done. Each fetch in the cursor is equal to the execution of a

Readers who have studied database theory should still remember the Performance Comparison Between CHAR and VARCHAR: CHAR is faster than VARCHAR because CHAR is of a fixed length and VARCHAR requires a length identifier, an extra operation is required during processing.In this case, I conducted a benchmark test. The benchmark test environment is as follows:[Hardwa

First, the question of the proposedIn the early stage of application system development, because the database data is relatively small, for querying SQL statements, complex view of writing and so on is not aware of the performance of SQL statements, but if the application system submitted to the actual application, as the data in the database increases, The respo

machine tests, a comprehensive comparison Comment out the results of the database execution: The execution time is the same, almost 0.Can it be explained that PHP is a performance problem? Is the reason for Win 7? Comment out the results of the database execution: The execution time is the same, almost 0.Can it be

Tags: regular ber Access query possibility title BMS System releaseFirst, the Database design optimization1. Do not use cursors.Using cursors not only takes up memory, but also locks tables in incredible ways, so that all the performance optimizations that DBAs can do are equal to not being done. Each fetch in the cursor is equal to the execution of a select.2. Create an appropriate indexWhenever you add an

emptied. Such frequent and small operations inevitably result in a lot of memory fragmentation, which requires the DBA to defragment the associated memory at regular intervals, otherwise the overall performance of the server is slowed down. So consider this factor when using query caching. Analysis QueryMany developers, when executing SQL, do not know where the bottleneck of SQL, and how to talk about optimization?Today I will recommend

Tags: HTML count Implementation principle Ora query own Group BY column SQL optimizationReprint: http://wulijun.github.io/2012/08/24/mysql-sql-optimization.html Optimize your Goals Reducing IO times IO is always the most vulnerable to the database, which is determined by the responsibility of the database, most of the database operations m

hierarchy less.Primary key selection also pay attention to the combination of primary key field order, for the combination of primary keys, different field order primary key performance difference may be very large, you should generally choose a low repetition rate, alone or the combination of the possibility of large query field in front. FOREIGN key: Foreign key as a database object, many people think th

Tags: transaction compilation SQL statement optimization considerations l database IMA NULL deployment SDNOther precautions"The water can carry the boat, also overturn it", the index is the same. Indexes can help improve retrieval performance, but too many or improper indexes can cause system inefficiencies. Because the user adds an index to the table, the database