Upgrading Job Scheduler

There is no need to specify any parameters.

6Restart Adaptive Server.

7If the sybmgmtdev device is less than 100MB, change the device to be a minimum of 100MB. From isql enter the following, where nn.nM is the number of megabytes needed to get to 100 MB:

use master go

disk resize name = 'sybmgmtdev' , size = 'nn.nM' go

8Optionally, add more log space. On some 64-bit platforms more space is need for the sybmgmtdb log. From isql enter:

use master go

alter database sybmgmtdb LOG on sybmgmtdev=20 go

9Upgrade the sybmgmtdb. Using isql, run the installjsdb script that is included with this release and save the output to a file:

isql -Usa-Psa_password -Sservername -n

-i$SYBASE/$SYBASE_ASE/scripts/installjsdb

-ooutput_file

10Enable Job Scheduler to start when Adaptive Server starts. From isql enter the command:

sp_configure "enable job scheduler", 1

11 Start Job Scheduler. From isql enter the command:

sybmgmtdb..sp_js_wakeup "start_js", 1 go

Upgrading Job Scheduler templates

After upgrading to the new Adaptive Server, perform the following steps to upgrade templates and jobs created from Job Scheduler templates.

Note For the Adaptive Server version 15.0.2 release, there are several changes that impact Job Scheduler templates. These changes make some templates incompatible with earlier versions of Adaptive Server. These templates are version 3.0 in the XML files.

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Sybase 15.0.2 manual Upgrading Job Scheduler templates
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15.0.2 specifications

Sybase 15.0.2, a product of the Sybase corporation (now SAP), is a relational database management system (RDBMS) that provides robust solutions for data management, security, and performance. This version builds upon its predecessors, offering improved features and enhancements that cater to both enterprises and developers.

One of the standout features of Sybase 15.0.2 is its advanced performance capabilities. The version introduces optimization enhancements such as the Query Optimizer, which is designed to ensure efficient execution of complex queries. This optimizer analyzes SQL statements and tables to choose the most efficient means of retrieval, thus reducing execution time and improving the overall performance of the database.

Sybase 15.0.2 supports improved scalability, allowing organizations to handle increased workloads without significant changes to their infrastructure. This scalability is crucial for businesses experiencing growth, as it ensures that performance remains consistent and reliable.

Another notable characteristic is the robust security architecture integrated within Sybase 15.0.2. The system includes features like data encryption, user authentication, and authorization mechanisms, making it suitable for environments that handle sensitive information. Database administrators can implement fine-grained access controls to manage user permissions effectively.

Moreover, Sybase 15.0.2 boasts support for a wide range of programming languages and frameworks. This versatility allows developers to build applications using their preferred tools, promoting productivity and ease of integration into existing systems. The database management system also supports various platforms, including Windows and UNIX, enabling diverse deployments across different environments.

In addition to these technological enhancements, Sybase 15.0.2 emphasizes data integrity through its robust transaction management system. It implements the ACID properties (Atomicity, Consistency, Isolation, Durability) to ensure that all database transactions are processed reliably, thereby maintaining the integrity of data even in high-transaction scenarios.

In conclusion, Sybase 15.0.2 is a feature-rich RDBMS that combines performance, scalability, security, and flexibility. Its advanced capabilities not only enhance data management for organizations but also provide a solid foundation for developers seeking to create efficient and secure applications. The improvements in this version make it a compelling choice for enterprises looking to optimize their database operations in an increasingly data-driven world.
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