Job Manager 是 Data Studio web console 产品中提供的替代 Task Center 的功能。Data Studio web console 是一款基于 web 的产品,可以方便地通过浏览器访问。
本文旨在帮助 Task Center 用户快速迁移到 Job Manager。它指导您如何使用 Job Manager 来执行 Task Center 工具中提供的相同管理任务等。本文主要从 Job Manager 与 Task Center 的不同之处进行比较,介绍 Job Manager 如何创建,调试,运行,浏览 Job。如何从 Task Center 导入任务到 Job Manager,以及 Job Manager 不兼容的任务和调度。
IBM Data Studio 包含三个独立的功能组件:Data Studio 完整客户端,Data Studio 管理客户端,Data Studio web 控制台(DSWC)DSWC 是独立的 web 应用,也可以和 Data Studio 集成使用。DSWC 提供对的健康监控工具和作业创建与管理工具。Job Manager 就是 DSWC 提供的替代 Task Center 的作业管理工具。
Job Manager 最早发布于 2011 年 10 月,包含在 DSWC 3.1 版本中。DSWC 3.1.1 版于 2012 年 4 月推出,其中 Job Manager 有一些功能的增强,还增加了从 Task Center 导入任务的新功能。
要使用 Job Manager,用户需要安装 DSWC。与 Task Center 不同的是,用户安装好 DSWC 后,可以通过浏览器在任何机器上进行访问,而不仅是在安装 DSWC 的机器上访问。安装了 Data Studio 基于 Eclipse 的客户端(完整客户端或者管理客户端)的用户如果想从该客户端访问 Job Manager,必须先安装 DSWC 并在客户端进行配置。从 Data Studio 信息中心 Getting Started 章节了解更多关于安装和使用的信息。
存储数据库 vs 工具目录数据库
使用 Task Center 必须配置工具目录数据库,用于保存任务信息。要使用 Task Center,用户必须先配置好工具目录数据库。与之对应的是,Job Manager 中的作业数据都保存在存储数据库中。实际上,DSWC 的共享数据,管理信息等都存放在存储数据库中。
用户可以指定一个数据库作为存储数据库,也可以使用 DSWC 自带的一个数据库(如果用户不指定存储数据库,该数据库是系统默认的存储数据库)。
用户通过以下步骤配置存储数据库:
- 从“打开”目录中选择“配置库”页面打开它,如图 1;或者直接从打开的“任务启动程序”页面中点击“选择存储库数据库”打开“配置库”页面,如图 2。
图 1.打开目录
图 2.任务启动程序
- 在“配置库”页面点击“选择存储库数据库”按钮,如图 3;在打开的“编辑数据库连接概要文件”对话框中输入数据库信息,点击确定。添加成功后,用户会看到“配置库”页面显示的存储库数据库信息和状态,如图 4。
图 3.配置库
图 4.成功添加配置库

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.

MySQL is not a programming language, but its query language SQL has the characteristics of a programming language: 1. SQL supports conditional judgment, loops and variable operations; 2. Through stored procedures, triggers and functions, users can perform complex logical operations in the database.

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.


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