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CRMV_MKTEAI_TR - Define Settings for Bulk Read Service

CRMV_MKTEAI_TR - Define Settings for Bulk Read Service

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In this Customizing activity, you define settings for parallel processing for External Application Interface (EAI).

You use the settings to determine the number of trade promotions to be read in parallel in the same bucket. During parallel processing, the system combines the data in buckets. For each bucket, an asynchronous thread is created. The bucket data is processed in this thread.

This type of processing increases the efficiency of mass processing jobs. In order to maximize this efficiency, the bucket size has to be customized based on the available hardware capacity.

You can set the bucket size with the number of marketing projects into a bucket.

The server group determines the group of application servers to be provided for parallel processing. This can be dedicated hardware for parallel processing. The server group defined in this customizing is specific for the mass read of trade promotions via EAI.

Note: The most suitable number of threads and the bucket size are project-specific, and depend on the available system resources. It is recommended that you perform a stress test to determine the settings that would be best suited to your installation. If the current Customizing is not set, the mass read of trade promotion will be run in serial local execution (that is, without any parallel processing optimized execution).

Enter values for the following parameters:

  • MARKETING PROJECT PER BUCKET: the maximum number of projects in a bucket.
  • LOGON/SERVER GROUP: indicates the server group capacity to be used for parallel processing.

You have 100 trade promotions ID to be read at the same time. You enter 25 as the number of trade promotions to be processed into a same bucket. Therefore, the mass read of 100 trade promotions will be processed, in parallel, in 4 buckets.

Each bucket is filled with the number of trade promotion IDs defined in the Customizing. Each bucket is then processed in parallel on a specific server.






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