创建Jobs语法: 通过DBMS_SCHEDULER包来创建Jobs,是使用其CREATE_JOB过程。例如: SQLgt; BEGIN 2 DBMS_SCHEDULER.CRE
创建Jobs语法:
通过DBMS_SCHEDULER包来创建Jobs,是使用其CREATE_JOB过程。例如:
事实上,有权限的话,用户也可以创建其它SCHEMA下的JOB,只需要在指定JOB_NAME时,按照schema.job_name的格式即可。
上例中指定的参数,分别代表的含义如下:
例如:REPEAT_INTERVAL=>'FREQ=DAILY;INTERVAL=1';表示每天执行一次,如果将INTERVAL改为7就表示每7天执行一次,效果等同于FREQ=WEEKLY;INTERVAL=1。
一般来说,使用DBMS_SCHEDULER.CREATE_JOB创建一个JOB,至少需要指定上述参数中的前3项。除此之外,还可以在CREATE_JOB时,指定下列参数:
例子:
首先创建一个存储过程,是向test表里面插入一条记录。
下面创建jobs不过,细心的盆友可能会发现,JOB虽然成功创建了,但却并未执行,这是怎么回事?其实原因很简单,还记的前面介绍CREATE_JOB过程时提到的ENABLED参数吗,当不显式指定时,该参数的默认值为false,JOB自然不会运行了。如果遇到这类情形,如何修改呢?
修改jobs
SET_ATTRIBUTE 过程虽然仅有三个参数,不过能够修改的属性值可是不少,以下列举几个较常用到的:
SCHEDULER 管理的JOB对任务的执行情况专门进行了记录,同时用户还可以选择日志中记录信息的级别,有下列三种选择:
提示:查看SCHEDULER管理的JOB,可以通过USER_SCHEDULER_JOB_LOG和USER_SCHEDULER_JOB_RUN_DETAILS两个视图中查询
上述提到了这些参数,均可以使用DBMS_SCHEDULER.SET_ATTRIBUTE过程进行设置。另外需要注意一点,除了用户手动创建的jobs之外,数据库在运行过程中也有可能自动创建jobs。对于这类jobs除非必要,否则不建议进行修改。至于如何区分jobs是用户创建,还是数据库自动创建,可以通过*_SCHEDULER_JOBS视图的SYSTEM列来确定,如果该列显示为TRUE,则表示由系统创建。

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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