How To Fix RETAIL_ST_ODATA450 - Previous update of unprocessed sales for store &1 took too long.

RETAIL_ST_ODATA450 - Overview

• Message type: E = Error

• Message class: RETAIL_ST_ODATA - Messages for use in Fiori Retail Store Applications

• Message number: 450

• Message text: Previous update of unprocessed sales for store &1 took too long.

What causes this issue?

The previous update of the buffer for unprocessed sales took longer than
the time interval in minutes you specified in
<DS:DE.RTST_UNPROCD_SALES_UPDATE_TIME>Update Buffered Unprocessed Sales
After</> in Customizing activity
<DS:SIMG.RTST_CAR_INTEG>Define Basic Settings for Integration with SAP
Customer Activity Repository</>.

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

System Response

How to fix this error?

If this error occurs frequently, consider to increase the
<DS:DE.RTST_AUTOM_UPDATE_TIME_IN_MINS>time interval</> specified in in
Customizing activity
<DS:SIMG.RTST_CAR_INTEG>Define Basic Settings for Integration with SAP
Customer Activity Repository</>.

Error message extract from SAP system. Copyright SAP SE.

RETAIL_ST_ODATA450 - Details

• The SAP error message "RETAIL_ST_ODATA450 Previous update of unprocessed sales for store &1 took too long" typically indicates that there is a delay or timeout in processing sales data for a specific store in the SAP Retail system. This can occur in scenarios where the system is trying to update or process a large volume of sales data, and the operation exceeds the allowed time limit.
  Causes:
  
  High Volume of Data: A large number of sales transactions may be queued for processing, leading to delays.
  System Performance Issues: The SAP system may be experiencing performance issues due to insufficient resources (CPU, memory, etc.) or high load.
  Database Locks: There may be locks on the database that prevent timely processing of the sales data.
  Inefficient Queries: Poorly optimized queries or processes that take longer to execute can contribute to this issue.
  Network Latency: If the system is accessing remote databases or services, network latency can also cause