Oracle中通过Job实现定时同步两个数据表之间的数据
摘要:之前项目中用的触发器来实现数据解析,但是最近客户反应,会报错,所以我们从新设计了一下,通过Oracle里面的Job来解决这一问题,这样就不会对原来的数据表做操作,只对临时表操作,就不会对客户那边的上级服务器产生影响了,详细请看下面: 一:首先
摘要:之前项目中用的触发器来实现数据解析,但是最近客户反应,会报错,所以我们从新设计了一下,通过Oracle里面的Job来解决这一问题,这样就不会对原来的数据表做操作,只对临时表操作,就不会对客户那边的上级服务器产生影响了,详细请看下面:
一:首先建个主表:MBINMSGS(这里的用户是MIP)
CREATE TABLE MIP.MBINMSGS ( ID NUMBER(30) NOT NULL, MBINMSGS_CLOB_MSG CLOB, MBINMSGS_DATE_RECEIVED DATE, MBINMSGS_DATE_PROCESSED DATE, MBINMSGS_SUBSYSTEM_NAME VARCHAR2(100 BYTE), MBINMSGS_SUBSYSTEM_DATE_SENT DATE, SERVICENAME VARCHAR2(30 BYTE) NOT NULL )
二:其次建个临时表用来存储主表过来的数据:MBINMSGS_TEMP
CREATE TABLE MIP.MBINMSGS_TEMP ( ID NUMBER(30) NOT NULL, MBINMSGS_CLOB_MSG CLOB, MBINMSGS_DATE_RECEIVED DATE, MBINMSGS_DATE_PROCESSED DATE, MBINMSGS_SUBSYSTEM_NAME VARCHAR2(100 BYTE), MBINMSGS_SUBSYSTEM_DATE_SENT DATE, SERVICENAME VARCHAR2(30 BYTE) NOT NULL )三:建立同步数据的存储过程:JOB_PRO_TEMP
CREATE OR REPLACE PROCEDURE MIP.JOB_PRO_TEMP AS TEMP_ID NUMBER; BEGIN SELECT NVL (MAX (ID), 0) INTO TEMP_ID FROM MBINMSGS_TEMP; INSERT INTO MBINMSGS_TEMP SELECT * FROM MBINMSGS WHERE MBINMSGS.ID > TEMP_ID; --insert into MBINMSGS_TEST select * from MBINMSGS; COMMIT; EXCEPTION WHEN OTHERS THEN DBMS_OUTPUT.PUT_LINE ('Exception happened,data was rollback'); ROLLBACK; END; /四:建立定时执行存储过程的Job:
var job_num number; begin dbms_job.submit(:job_num,'JOB_PRO_TEMP;',SYSDATE,'sysdate+1/24/60'); end; commit;五:查看新建的Job是否正确运行:
SELECT * FROM USER_JOBS;六:可能有的人会说我建了Job但是不能运行,那说明你的Job没有运行,我在这个过程中就遇到了这个的问题,最后经过查找,解决了,办法如下:
检查Oracle的JOB运行环境:如果为0表示不运行JOB,Oracle一般默认安装完为10,但是我安装oracle以后就不知道为什么是0。 查看进程数(这里是用system管理员账号登录) show parameter job_queue_processes; 修改进程数(如果你的是0,才需要按照以下语句修改): 我这里改为10模拟以下这个操作; 在PL/SQL的command窗口中输入以下语句: alter system set job_queue_processes=10 scope=both; 修改完以后我们查看一下,如果为10那就说明好了,然后你把刚才建的Job删除了,在重新建立一个Job: show parameter job_queue_processes;七:删除Job的方法:
exec dbms_job.remove(81);
说明:这里的数字81是对应DBA_JOBS表中当前要删除的JOB记录所在行的JOB字段的值;
更加详细的关于Oracle的Job请看:http://www.cnblogs.com/java-pan/archive/2012/09/16/oracle_job.html

The main difference between MySQL and SQLite is the design concept and usage scenarios: 1. MySQL is suitable for large applications and enterprise-level solutions, supporting high performance and high concurrency; 2. SQLite is suitable for mobile applications and desktop software, lightweight and easy to embed.

Indexes in MySQL are an ordered structure of one or more columns in a database table, used to speed up data retrieval. 1) Indexes improve query speed by reducing the amount of scanned data. 2) B-Tree index uses a balanced tree structure, which is suitable for range query and sorting. 3) Use CREATEINDEX statements to create indexes, such as CREATEINDEXidx_customer_idONorders(customer_id). 4) Composite indexes can optimize multi-column queries, such as CREATEINDEXidx_customer_orderONorders(customer_id,order_date). 5) Use EXPLAIN to analyze query plans and avoid

Using transactions in MySQL ensures data consistency. 1) Start the transaction through STARTTRANSACTION, and then execute SQL operations and submit it with COMMIT or ROLLBACK. 2) Use SAVEPOINT to set a save point to allow partial rollback. 3) Performance optimization suggestions include shortening transaction time, avoiding large-scale queries and using isolation levels reasonably.

Scenarios where PostgreSQL is chosen instead of MySQL include: 1) complex queries and advanced SQL functions, 2) strict data integrity and ACID compliance, 3) advanced spatial functions are required, and 4) high performance is required when processing large data sets. PostgreSQL performs well in these aspects and is suitable for projects that require complex data processing and high data integrity.

The security of MySQL database can be achieved through the following measures: 1. User permission management: Strictly control access rights through CREATEUSER and GRANT commands. 2. Encrypted transmission: Configure SSL/TLS to ensure data transmission security. 3. Database backup and recovery: Use mysqldump or mysqlpump to regularly backup data. 4. Advanced security policy: Use a firewall to restrict access and enable audit logging operations. 5. Performance optimization and best practices: Take into account both safety and performance through indexing and query optimization and regular maintenance.

How to effectively monitor MySQL performance? Use tools such as mysqladmin, SHOWGLOBALSTATUS, PerconaMonitoring and Management (PMM), and MySQL EnterpriseMonitor. 1. Use mysqladmin to view the number of connections. 2. Use SHOWGLOBALSTATUS to view the query number. 3.PMM provides detailed performance data and graphical interface. 4.MySQLEnterpriseMonitor provides rich monitoring functions and alarm mechanisms.

The difference between MySQL and SQLServer is: 1) MySQL is open source and suitable for web and embedded systems, 2) SQLServer is a commercial product of Microsoft and is suitable for enterprise-level applications. There are significant differences between the two in storage engine, performance optimization and application scenarios. When choosing, you need to consider project size and future scalability.

In enterprise-level application scenarios that require high availability, advanced security and good integration, SQLServer should be chosen instead of MySQL. 1) SQLServer provides enterprise-level features such as high availability and advanced security. 2) It is closely integrated with Microsoft ecosystems such as VisualStudio and PowerBI. 3) SQLServer performs excellent in performance optimization and supports memory-optimized tables and column storage indexes.


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

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.

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

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),

SublimeText3 Chinese version
Chinese version, very easy to use

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.