今天跟深圳小兄弟打赌,内容不详述了,结果如下,当事人和当时围观的人自然清楚,不清楚的我也不便解释了,O(∩_∩)O哈哈~ 其实这个测试我本来不用做的,因为飞总早在几个月前已经测试过了,但是兄弟不相信,我不得不再弄一次,O(∩_∩)O哈哈~ 先看下当前环
今天跟深圳小兄弟打赌,内容不详述了,结果如下,当事人和当时围观的人自然清楚,不清楚的我也不便解释了,O(∩_∩)O哈哈~
其实这个测试我本来不用做的,因为飞总早在几个月前已经测试过了,但是兄弟不相信,我不得不再弄一次,O(∩_∩)O哈哈~
先看下当前环境,注意,这里的信息都足以证明是一个非exadata环境……
[root@localhost ~]# imageinfo -bash: imageinfo: command not found [root@localhost ~]# imagehistory -bash: imagehistory: command not found [root@localhost ~]# uname -a Linux localhost.localdomain 2.6.32-300.10.1.el5uek #1 SMP Wed Feb 22 17:37:40 EST 2012 x86_64 x86_64 x86_64 GNU/Linux [root@localhost ~]# cat /etc/*relea* Enterprise Linux Enterprise Linux Server release 5.8 (Carthage) cat: /etc/lsb-release.d: Is a directory Oracle Linux Server release 5.8 Red Hat Enterprise Linux Server release 5.8 (Tikanga) [root@localhost ~]# [root@localhost ~]# ls /etc/*relea* /etc/enterprise-release /etc/oracle-release /etc/redhat-release /etc/lsb-release.d: core-4.0-amd64 core-4.0-noarch graphics-4.0-ia32 printing-4.0-amd64 printing-4.0-noarch core-4.0-ia32 graphics-4.0-amd64 graphics-4.0-noarch printing-4.0-ia32 [root@localhost ~]# [root@localhost ~]# [root@localhost opt]# ps -ef|grep xd root 23530 23350 0 20:35 pts/1 00:00:00 grep xd [root@localhost opt]# [root@localhost ~]# cd /opt [root@localhost opt]# ls ORCLfmap [root@localhost opt]# pwd /opt [root@localhost opt]#
下面我们来测试in-memory option功能(注意版本):
SQL> SELECT * FROM V$VERSION; BANNER CON_ID -------------------------------------------------------------------------------- ---------- Oracle Database 12c Enterprise Edition Release 12.1.0.2.0 - 64bit 0 PL/SQL Release 12.1.0.2.0 - 0 CORE 12.1.0.2.0 0 TNS for Linux: Version 12.1.0.2.0 - 0 NLSRTL Version 12.1.0.2.0 - 0 SQL> SHOW PARAMETER inmemory; NAME TYPE VALUE ------------------------------------ ----------- ------------------------------ inmemory_clause_default string inmemory_force string DEFAULT inmemory_query string ENABLE inmemory_size big integer 200M SQL> select TABLE_NAME,INMEMORY_PRIORITY,INMEMORY_DISTRIBUTE,INMEMORY_COMPRESSION from user_tables; TABLE_NAME INMEMORY INMEMORY_DISTRI INMEMORY_COMPRESS ------------------------------ -------- --------------- ----------------- LUNAR SQL> SELECT * FROM V$INMEMORY_AREA; POOL ALLOC_BYTES USED_BYTES POPULATE_STATUS CON_ID -------------------------- ----------- ---------- -------------------------- ---------- 1MB POOL 166723584 0 DONE 3 64KB POOL 33554432 0 DONE 3 SQL> alter table LUNAR inmemory; Table altered. SQL> SELECT COUNT(*) FROM LUNAR; COUNT(*) ---------- 90000 SQL> SELECT * FROM V$INMEMORY_AREA; POOL ALLOC_BYTES USED_BYTES POPULATE_STATUS CON_ID -------------------------- ----------- ---------- -------------------------- ---------- 1MB POOL 166723584 4194304 DONE 3 64KB POOL 33554432 131072 DONE 3
猜猜,谁赢了,O(∩_∩)O哈哈~
原文地址:打赌结果——12.1.0.2.0曾经可以这样, 感谢原作者分享。

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Zend Studio 13.0.1
Powerful PHP integrated development environment

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),
