The Syniti Data Replication API, a .NET object model structure called the DBMoto Object Model (DBOM), provides developers with complete control over creating and running replications programmatically.
The .NET namespace for the API is HitSoftware.DBMoto.Application. This namespace includes the class DBMotoApplication, the main singleton object of the DBOM, which can be instantiated through the static singleton method Instance DBMotoApplication.Instance.
The .NET namespace for the API is HitSoftware.DBMoto.Application. This namespace includes the class DBMotoApplication, the main singleton object of the DBOM, which can be instantiated through the static singleton method Instance:
The DBMotoApplication object has access to a list of IServer objects, which is the list of server agents configured in the Management Center and stored in the local dbmoto.config file. Syniti DR users typically define at least a "local" server in the Management Center. It is therefore possible to get a pointer of the local server by calling:
For interaction that involves the Replication Agent and the metadata, the metadata should be 'synchronized' with the Replication Agent, meaning that the application using the API should open a TCP/IP connection to the Replication Agent and receive notification from the Replication Agent:
The simple code sample described above provides an introduction to the Syniti DR API. Explore the full capabilities of the API from Visual Studio, or from the Syniti Data Replication API Reference Guide.
Add the following references to libraries for the Syniti Data Replication API in your AppConfig file section. Replace all items in italics with correct pathnames, cultures and version numbers. To get the correct version number for your Syniti DRinstallation:
The diagram below provides a graphical representation of the DBMoto Object Model. Note the one-to-many relations between the parent object and the children; and the one-to-one link from each child class to the parent (for instance, an IMetadata has a pointer to IServer).
IMPORTANT: Clients running the Stewardship Tier in 32-bit mode are recommended to switch to 64-bit mode prior to upgrading to version 7.4.5 to allow sufficient testing before upgrading. If issues occur during the switch to 64-bit mode, it is easier to roll back the architecture switch than the entire upgrade.
A customization is a change to the underlying source code, which differs from configuration, a normal setup of the software, such as setting up workflows and defining parameters via the configuration pages.
WARNING: Customizations made to any component of the delivered SAP Advanced Data Migration will be overwritten in this upgrade. To preserve customizations, make a copy of the customizations prior to applying any upgrade.
A new feature was introduced in SST 7.1.3 whereby the SAP connection settings on a Collect Target Source are moved to a dedicated Data Source Registry record. During upgrade, the following DataGarage dgTargetSource table columns are used to create the new DSPCommon Data Source Registry records.
Users will be unable to access the web server while the upgrade is being performed; it may be appropriate to warn users in advance of the temporary unavailability of Syniti Solutions. Use the Services console to stop the SAP Advanced Data Migration service(s); do not use the CranSoft Configurator.
Web services must be stopped for the duration of the upgrade. This process disconnects all active users, so it is highly recommended to perform the upgrade when no users are on the system. This process stops IIS on the web server.
Click the Options button and compare the suggested Install location with the Physical Path identified in the preceding section. The Install location will only show the first part of the path, that is, with BOA\DSP\Web removed. Modify the Install location parameter as appropriate to ensure that the location matches that of the instance that is to be upgraded. For example, if the Physical Path identified in the previous section is D:\BOA\DSP\Web, then the Install location should be set to D:\ (see screenshot below). If the Physical Path is C:\Program Files (x86)\BOA\DSP\Web then the Install location should be set to C:\Program Files (x86)\.
On SAP Advanced Data Migration upgrades, the existing Syniti Data Replication installation is detected (either 32-bit or 64-bit) and the Syniti Data Replication setup file for the platform bit type currently installed is executed to perform an upgrade of Syniti Data Replication.
If currently running older versions of 64-bit Syniti Data Replication, manually run the setup.exe installer, located in the installationDirectory\DSP\Packaging\Packages\DSP.SynitiDR-latest version\SynitiDRInstaller folder.
Optionally, update the web.config file to specify how long foreground events run. The default is 90 seconds. If the default is not updated, be aware that there is a possibility of timeouts. To override this default installation setting, update the maximum number of seconds that foreground events should run in the new executionTimeout property in the httpRuntime element in the web.config file in the installation directory. The user could also change specific foreground events to run in the background. Refer to the Foreground Events Time Out after 90 Seconds knowledge base article for more information.
Due to an update in the Integrate.dbo.ttBAPI table to avoid the use of a binary formatter, when upgrading to the Stewardship Tier 7.4.3 or above, clients must re-create their BAPI templates. Failing to do so will cause the posting of a BAPI template to fail with the following error:
When upgrading from DSP 7.1.2 or below to 7.1.3 or above, Collect Target Sources that include SAP connection details will automatically have the saved connection string details converted into a new Data Source of type SAP Application Server. The newly created SAP Application Server Data Source will then be assigned to the Collect Target Source.
If you are upgrading from a version prior to 6.5.3, and Collect packages have been built using Data Services as the package type (both standard and RFC), then the Collect Packages must be re-built as the naming convention has changed for the Data Services objects (Data Stores, Jobs and Data Flows) to improve integration of the two products. Use the standard Collect Build process to rebuild the Data Services packages, ensuring that you also click the Test Connection icon on the Target Sources page as this process recreates the Data Services Data Store.
Competition among companies plays a pivotal role in laying the foundation for high-quality products and services for customers. When it comes to the field of Database Management, the choice of Oracle vs SQL Server is a relatively tough one. This is pretty common in emerging and competitive fields such as Data Analytics. Having a majority customer share in the market and regularly updating your products & services does determine the revenue your organization generates.
Oracle is owned by Oracle Corporation and is used by many companies because of its unique capabilities such as powerful software, support for parallel and distributed databases, better indexing, and many more. SQL Server is owned by Microsoft whose fundamental aim is to provide a platform to create, manage and manipulate databases. Many factors play a role in determining the database that suits your needs and it is important to address them before making a decision.
This article provides you with a comprehensive analysis of both databases and highlights the major differences between them to help you make the Oracle vs SQL Server decision with ease. It also provides you a brief overview of both databases along with their features. Finally, it highlights a few challenges you might face when you use these databases. Read along how you can decide the right database for your organization.
Hevo Data is a completely automated pipeline offers data to be delivered in real-time without any loss from source to destination. Its fault-tolerant and scalable architecture ensure that the data is handled in a secure, consistent manner with zero data loss and supports different forms of data. The solutions provided are consistent and work with different BI tools as well.
Now that you have a basic idea of both technologies, let us attempt to answer the Oracle vs SQL Server question. There is no one-size-fits-all answer here and the decision has to be taken based on the business requirements, budget, and parameters listed below. The following are the key factors that drive the Oracle vs SQL Server decision:
Oracle is owned by Oracle Corporation and can run on a wide variety of platforms such as Windows, Linux, Solaris, HP-UX, and OS-X. Oracle supports PL/SQL and SQL language to write queries to access data from its database.
SQL Server is owned by Microsoft and can only be used on the Windows platform. Recently, the 2017 version of SQL Server can be run on Linux platforms as well. SQL Server uses the T-SQL(Transact-SQL) language to write queries to access data from its database.
Oracle is complex to use because its syntax is a little complicated as compared to SQL. It allows users to easily share databases. It also supports packages and is backed by powerful software. The architecture of Oracle is shown below.
SQL Server is simple to use as its syntax is similar to SQL. It does not allow users to share the database. It does not use packages and its processing software power is less than Oracle. The architecture of SQL Server is shown below.
Jobs are scheduled in Oracle via the Oracle scheduler or OEM. It uses the star optimization technique to optimize its query performance. Triggers are a set of rules applied to databases to maintain the relationships between attributes in the database. Oracle uses both before and after triggers in its database.
The customer care, troubleshooting, and support of Oracle are available 247 and answer your queries in a timely manner, but you will be charged for each support call depending on the support case. Error Handling is also managed efficiently as Oracle treats each new database transaction as a new connection.
b37509886e