在启动 时候报 ORA-00210: cannot open the specified control file ORA-00202: control file: '+DATA/posdb/controlfile/current.260.822142153' ORA-17503: ksfdopn:2 Failed to open file +DATA/sharkdb/controlfile/current.260.822142153 ORA-15001: di
在启动 时候报
ORA-00202: control file: '+DATA/posdb/controlfile/current.260.822142153'
ORA-17503: ksfdopn:2 Failed to open file +DATA/sharkdb/controlfile/current.260.822142153
ORA-15001: diskgroup "DATA" does not exist or is not mounted
ORA-15055: unable to connect to ASM instance
ORA-12547: TNS:lost contact
无法连接ASM 实例.
对 /u01/app/oracle 目录 对/u01/app CHOWN -R oracle:oinstall /u01/app
因为安装的时候 两个用户 grid oracle 分别属于不同的组.
解决方案 把两个用户加满对方所在的组.
或者是 修改目录 把原来的目录修改回原来用户的所有者.
并且修改下面目录的S权限
[root@camsdb2 bin]#cd /u01/app/11.2.0/grid/bin
[root@camsdb2 bin]# ll oracle
-rwxr-x--x 1 grid oinstall 184286283 07-05 17:46 oracle
[root@camsdb2 bin]# chmod 6751 oracle
[root@camsdb2 bin]# ll oracle
-rwsr-s--x 1 grid oinstall 184286283 07-05 17:46 oracle
[root@camsdb2 bin]# cd /u01/app/oracle/product/11.2.0/dbhome_1/bin
[root@camsdb2 bin]# ll oracle
-r-sr-s--x 1 oracle asmadmin 210824752 07-06 10:32 oracle
[root@camsdb2 bin]# chmod 6751 oracle
[root@camsdb2 bin]# ll oracle
-rwsr-s--x 1 oracle asmadmin 210824752 07-06 10:32 oracle

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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