firebird database performance comparison

Download the test sample program Note: This test compares the read/write performance of ADO. NET, NBear, and NHibernate databases using the Categories, MERS MERs, and Products tables of the Northwind database of SqlServer2000. To be fair, the test code does not use many unique functions or caches of the special framework. Pre-read is performed before the actual test (ensure that metadata is loaded at the f

comparison test, found that several parameters of the setting of EXP export time-consuming impact, after optimization, EXP export performance has been greatly improved, But compared to EXPDP, the latter is still much faster, and the following is an introduction to the experiment and related knowledge so that we can refer to it when we help the user to develop a backup strategy.2. Test Situation2.1 test Env

. Use BCP 04. Use SqlBulkCopy 05. Use the Linked Server for data migration 06. SQL Data Compare using RedGate 07. Comparison of results You can check the test results first. 00. Create a test environment Create a test environment, a data source database, a Hong Kong Server, SQL Server 2008, a target database, and SQL Server 2000. As shown in the experiment

interesting comparison, in order to keep "compatibility" with my previous tests, I first tested the TPS (Transactions/sec) and then the QPS (Query/sec), which I prefer.The first test is the classic Sysbench Oltp_ro (Read only):sysbench Oltp_ro:Next is the same Oltp_ro test, but the open and close operation of the table is not performed in the transaction (see here for a complete explanation)sysbench Oltp_ro-trx:Next is "Point-selects", which is a way

Message Queue performance comparison-ActiveMQ, RabbitMQ, ZeroMQ, and activemqrabbitmqDissecting Message Queues Overview: I spent some time profiling various databases to execute distributed messages. In this analysis, I have looked at several different aspects, including API features, ease of deployment and maintenance, and performance quality .. The message queu

Comparison of paging stored procedures and performance of five types of SQL Server, SQL stored procedures In SQL Server database operations, we often use stored procedures to implement paging processing of the queried data to facilitate browsing by viewers. This article summarizes the five paging stored procedures for SQL Server and compares their

mysql5.6.16 Data entries in total After the data is inserted, the database size is 19.1 MB (no index) and 38.6 (with an index) Total insertion time of a single index: 82 s peak memory: 246KB Total insertion time with an index: 86 s peak memory: 246KB Total time consumed for batch insertion without indexes: 3 s peak memory: 8643KB Total index insertion time: 7 s peak memory: 8643KB No index Load Data insertion time: 6 s peak memory: 246KB

When you call more services in a page, you use a parallel approach, that is, using the Curl_multi_* series functions is less time consuming than the Curl_* series functions.Test environmentTen2.4. - PHP: 5.6. + MySQL: 5.7. One CURL: 7.47. 1Test database Select the sample database of the MySQL official website sakila,:http://dev.mysql.com/doc/index-other.htmlThe test page requires a call to 3 APIs:getacto

Recently, a project needs to use NO-SQL database to save a lot of data, insert and query are more frequent, relatively more frequent query. Is it the choice of memcached or Redis? Memcached and Redis to do a related test, you know. Memcached and Redis test comparison: 1 Performance aspects: Same number of write and read data, key is UUID, value is analog terminal

Five paging stored procedures based on SQL Server and Performance Comparison In SQL Server database operations, we often use stored procedures to implement paging processing of the queried data to facilitate browsing by viewers. Create a database data_Test: Create database d

-consuming and there are several optimization methods: Write multiple rows in each insert statement and insert multiple rows in batches Write all query statements into the transaction Use Load Data to import Data The performance of each method is as follows. Innodb engine InnoDB provides MySQL with a transaction-safe (ACID compliant) table with transaction (commit), rollback, and crash recovery capabilities. InnoDB provides locking on row leve

3rd Times 4th times Average Cos 55813 52282 54796 51187 53520 Fileupload 76343 68531 80954 79031 76215 Smartupload Memory Stack Overflow From the comparison above, we can see that cos always maintain good performance. When the upload volume is small (the capacity is less than 2 MB, which is the most common case), co

Percona has improved the MySQL database server and has a significant improvement in functionality and performance over MySQL. This release improves the performance of InnoDB in high load situations, provides some very useful performance diagnostic tools for DBAs, and additional parameters and commands to control server

be used Use_hash (table_name1 table_name2) hint to force a HASH join 1. Hash joins are a common way for the CBO to make large data set connections. 2. You can also use the Use_hash (table_name1 table_name2) hint to force a hash connection 3.Hash join when the amount of data in two tables varies greatly. The 4.Hash join works by hashing a table (usually a smaller table), storing the column data in a hash list, extracting records from another table, doing hash operations, and finding the correspo

MySQL two table storage structures: MyISAM and InnoDB performance comparison test, myisaminnodb Reproduced http://www.jb51.net/article/5620.htm MySQL supports two main table storage formats: MyISAM and InnoDB. InnoDB was used for a project last month. The results are very slow and only a dozen pieces can be inserted in one second. Later I changed to MyISAM format and inserted tens of thousands of entries in

Normal 0 7.8 pt 0 2 false false false MicrosoftInternetExplorer4 Spring MVCAndStruts2Is now popularJava Web MVCFramework. Both frameworks are widely used. As for the advantages and disadvantages of the two frameworks, I do not want to be involved in the debate here. I am concerned about the performance of the two frameworks. Recent ExploitationApacheBenchI did a test. The results show that the

Comparison of paging Performance Using Stored Procedures 1. Generate table Create Table [t_user] ( [ID] [bigint] identity (1, 1) not null, [Name] [nvarchar] (50) Collate chinese_prc_ci_as not null, [Birthday] [datetime] not null constraint [df_user_birthday] default (getdate ()), Constraint [pk_user] primary key clustered ( [ID] ) On [primary] ) On [primary] Go 2. Generate 1000000

primary key, composite primary key, the self-increment primary key are covered. In order to be fair we will execute the tests for each framework sequentially and then repeat them several times.Test ResultsAs shown in the results of the test, this test was run 4 times for each frame, and the results were first output for each frame, and the average time for all frames was output in the final summary.Results AnalysisThe first thing we need to emphasize is that the above test ignores the advantage

Php + mysql prequery prepare and general query performance comparison, mysqlprepare Prepare can solve the load and overhead brought by a high-traffic website to the database server. This article introduces the performance comparison between prepare and common queries through

In my projects, dataset is used a lot, which leads to fast development and low training costs. In addition, dataset itself works well with the development of gridview, and many clever methods use dataset to bind them for better processing. For example, dynamic fields and metadata fields. If the generic type is used, the modification of the object class may occur. Some people may say that dataset is very inefficient. In fact, if the application scenario is suitable, the