DP 6.1版本在linux Client上由于在backup节点配置无法保存使得restore节点报错的问题,采用如下方法可以解决,就是将Cell Manage
DP 6.1版本在linux Client上由于在backup节点配置无法保存使得restore节点报错的问题,采用如下方法可以解决,就是将Cell Manager上的大写配置文件改名成小写配置文件:
1. Sign on as root on the cell server 2. cd /etc/opt/omni/server/integ/config/Oracle8 3. mv ZJ-OADB-01%_OB2_GLOBAL zj-oadb-01%_OB2_GLOBAL mv ZJ-OADB-01%zjoadb zj-oadb-01%zjoadb
linux下装DP Client,,如果无法采用Install Server分发过去时,可以采用本地安装,本地安装时不要加-server参数直接将Client集成过去,在本地装好Client后使用Import导入Client。
1、安装Client:
./omnisetup.sh -install da,ma,oracle8
2、集成Oracle:
./util_oracle8.pl -config -dbname zjoadb -orahome /oracle/ora10g -prmuser system -prmpasswd password -prmservice zjoadb
/usr/omni/bin/util_oracle8.pl -config -dbname
where:
PRIMARY_DB_LOGIN is:
-prmuser
-prmpasswd
-prmservice
[
CATALOG_DB_LOGIN is:
-rcuser
-rcpasswd
-rcservice
if the above command gives RETVAL 0 then configure the oracle integration from DP GUI
3、在GUI上Import Client
Import之前,确保以下nslookup命令都能返回正确输出;Cell Manager、Client彼此主机名能互相解析(将彼此的主机名配置到/etc/hosts文件中)
此例子中zjop02为Cell Manager,zj-test04为Client
- 登录到Cell Manager hostname is zjop2 / HP UX 11.23
nslookup zjop2
nslookup
nslookup zj-test04
nslookup
登录到Client hostname is zj-test04 / Linux RHAS 5
nslookup zjop2
nslookup
nslookup zj-test04
nslookup

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.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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