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Status Submitted
Workspace Order Management (OnPrem & OMoC)
Created by Guest
Created on Aug 20, 2026

RELATED IDEAS

Optimization of Order Service (OS) Elastic Search Query Load During Peak OMS Data Sync

During peak business hours, we observe a significant spike in Elasticsearch CPU utilization when the Order Management System (OMS) syncs order state changes to Order Service (OS) as part of normal inline lifecycle updates.

Based on our analysis, during the synchronization process, Order Service executes lookup queries against Elasticsearch to verify the current index value for the order prior to applying the update sync. When high order volumes are processed concurrently, these repeated read/verification checks against Elasticsearch generate heavy query overhead, causing high CPU spikes and performance degradation on the Elasticsearch cluster.

We request an optimization in the Order Service sync mechanism to minimize or streamline Elasticsearch lookups during routine OMS-to-OS synchronization. Potential solutions could include:

  • Lookup Optimization: Bypassing or caching redundant pre-sync index queries when the index target is already deterministic.

  • Batching/Bulk Lookup Enhancements: Aggregating verification checks for batch updates rather than executing individual query lookups per order/line.

  • Configurable Verification Levels: Providing a system parameter to control or relax pre-sync index validation checks during high-volume periods.

What is your industry? Retail
How will this idea be used?

Performance Instability: High Elasticsearch CPU usage during peak trading periods threatens system stability and increases response latencies across Order Service endpoints.

Resource Scaling Costs: Forces over-provisioning of Elasticsearch compute clusters simply to handle repetitive verification query overhead rather than actual data indexing work.

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