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- 安装运行create-stack-user.sh脚本时,当前目录不要是devstack
- 安装时如果提示pbr版本不对
运行pip install --upgrade pbr, pip install --upgrade setuptools - 安装时提示下载超时,可以使用pip install --upgrade安装失败的包
- 安装时提示提示mysql没权限执行下列命令:
service mysqld stop
mysqld_safe --user=mysql --skip-grant-tables --skip-networking &
mysql -u root mysql
UPDATE user SET Password=PASSWORD() where USER='root';
FLUSH PRIVILEGES;
quit
service mysqld stop
- devstack默认卷容量比较小(10G),安装时可以调整(stack用户下导入该环境变量)
export VOLUME_BACKING_FILE_SIZE=102500M
- 安装openstack需要访问pypi网站,超时失败的话
可以运行./unstack.sh, ./stack.sh解决 - 系统重启后,需要运行rejoin.sh,运行前需要重新恢复卷组
losetup -f /opt/stack/data/stack-volumes-backing-file
- 安装完成后发现卷容量较小,可以使用如下方法调整
devstack安装默认lvm后端容量为10G。
后续可以通过以下方式修改:- qemu-img create -f raw 100G
- losetup -f
- pvcreate
- vgextend
注:vg_name可以通过vgdisplay显示。
- 安装时pip显示”No module named pkg resources“错误
$ wgethttp://python-distribute.org/distribute_setup.py
$ python distribute_setup.py
详细参考http://stackoverflow.com/questions/7110360/easy-install-and-pip-doesnt-work
- 启动虚拟机失败,错误“some rules could not be created for interface vnet0”
原因:
关闭防火墙后没有重新启动libvirtd
解决办法:
重新启动libvirtd
- 控制节点意外掉电后重启,mysql启动失败,同时导致neutron-server无法启动
rm -rf /var/lib/mysql/mysql.sock然后重启节点 - 出现错误:failed to create /opt/stack/horizon/openstack_dashboard/local/
解决:执行setenforce 0
- 关闭devstack的所有screen
解决:screen -wipe

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


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