即将上线的数据库如何来评估其性能呢,swingbench是除了Benchmark Factory for Databases的不二之选,可以用短小精悍来形容,而且
即将上线的数据库如何来评估其性能呢,swingbench是除了Benchmark Factory for Databases的不二之选,可以用短小精悍来形容,而且完全免费,也不用成天到晚google注册码,还等什么呢,,赶紧来瞧瞧......
一、swingbench介绍
是JAVA程序,当前分为两个版本,一个是2.3,一个是2.4,支持windons/linux/unix平台,测试了一下win7 64平台,运行不太稳定
支持Oracle 单实例以及Oracle RAC,支持Oracle 10g,11g。运行环境需要安装oracle 客户端或者instant client
包含OrderEntry, SalesHistory, CallingCircle and StressTest几个种子数据库,具体描述参见作者网站
软件由load generator,coordinator,cluster overview组成,可以生成负载以及事务,响应时间并以图表方式展示
从作者网站下载swingbench,
如果下载最新的2.4版,则需要安装java(6) 1.6或以上版本,无需修改任何配置文件。
如果下载2.3版本的则,则需要安装java 1.5或以上版本则需要修改swingbench.env配置文件
由于2.4的版本直接运行即可(安装java 6以及Oracle客户端),因此本文以2.3版本进行描述。
二、安装前的准备工作
1、确认安装的平台与java,oracle相关配置
oracle@SZDB:~> cat /etc/issue #查看系统版本
Welcome to SUSE Linux Enterprise Server 10 SP3 (x86_64) - Kernel \r (\l).
oracle@SZDB:~> java -version #使用这个方式即可确认jave当前的版本
java version "1.5.0_22"
Java(TM) 2 Runtime Environment, Standard Edition (build 1.5.0_22-b03)
Java HotSpot(TM) 64-Bit Server VM (build 1.5.0_22-b03, mixed mode)
SZDB:/ # find / -name java |grep jdk #查看java路径
/usr/java/jdk1.5.0_22/bin/java
/usr/java/jdk1.5.0_22/jre/bin/java
/users/oracle/OraHome10g/jdk/bin/java
/users/oracle/OraHome10g/jdk/jre/bin/java
oracle@SZDB:~> env | grep ORACLE_HOME
ORACLE_HOME=/users/oracle/OraHome10g
2、安装配置swingbench
使用ftp工具将下载的zip文件上传导linux服务器,本文使用的为winscp。
上传解压后的路径及文件如下:
oracle@SZDB:~/robinson/swingbench> pwd
/users/oracle/robinson/swingbench
oracle@SZDB:~/robinson/swingbench> ls
bin lib README.txt source sql swingbench.env swingbenchenv.bat winbin
oracle@SZDB:~/robinson/swingbench> vi swingbench.env
#!/bin/bash
# Set the following to reflect the root directory of your Java installation
export JAVAHOME=/usr/java/jdk1.5.0_22 #修改此路径为正确的路径
# Set the following to the directory where you installed swingbench
export SWINGHOME=/users/oracle/robinson/swingbench #修改此路径为正确的路径
# Set the following to the location of your TimesTen install (optional)
export TTHOME=/opt/TimesTen/tt70
# If you don't have the ORACLE_HOME environment variable set uncomment the following and change it to reflect your environment
export ORACLE_HOME=/users/oracle/OraHome10g #修改此路径为正确的路径
#
export ANTHOME=$SWINGHOME/lib
export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:$ORACLE_HOME/lib:$TTHOME/lib
export CLASSPATH=$JAVAHOME/lib/rt.jar:$JAVAHOME/lib/tools.jar:$SWINGHOME/lib/mytransactions.jar:
${SWINGHOME}/lib/swingbench.jar:$ANTHOME/ant.jar:
# The following is needed for 10g environments
export CLASSPATH=$CLASSPATH:$ORACLE_HOME/jdbc/lib/ojdbc14.jar:$ORACLE_HOME/opmn/lib/ons.jar
# The following is only needed for 11g environments
export CLASSPATH=$CLASSPATH:$ORACLE_HOME/jdbc/lib/ojdbc5.jar
# The following is only needed for TimesTen environments
export CLASSPATH=$CLASSPATH:$TTHOME/lib/classes15.jar
3、安装soe schema
启动Xmanager - Passive,也可以直接remote到linux后执行命令以期用GUI界面
oracle@SZDB:~/robinson/swingbench> export DISPLAY=192.168.7.133:0.0
oracle@SZDB:~/robinson/swingbench> cd bin
oracle@SZDB:~/robinson/swingbench/bin> ./oewizard #使用GUI向导安装oe schema
soe@SYBO2SZ> @dba_tables_user #检查安装soe的结果
Table Name Tablespace Last Analyzed # of Rows
------------------------------ ---------------------------- -------------------- ------------
CUSTOMERS SOE 16-NOV-2012 16:11:31 1,000,411
INVENTORIES SOE 16-NOV-2012 16:11:48 5,760
LOGON SOE 16-NOV-2012 16:11:48 0
ORDERS SOE 16-NOV-2012 16:11:55 1,000,000
ORDER_ITEMS SOE 16-NOV-2012 16:12:13 3,503,005
PRODUCT_DESCRIPTIONS SOE 16-NOV-2012 16:12:20 288
PRODUCT_INFORMATION SOE 16-NOV-2012 16:12:20 288
WAREHOUSES SOE 16-NOV-2012 16:12:20 20
#Author : Robinson
#Blog :
oracle@SZDB:~/robinson/swingbench/bin> ./swingbench #开始实施swingbench
Started Swingbench, Version 2.3.0.422. Using config file swingconfig.xml
BI Beans Graph version [2.7.5.32] Engine version [2.7.5.32]

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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