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@@ -56,13 +56,13 @@ The Query Insights API gives you direct access to performance data, but a visual
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This interface includes several key features:
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-**Top N queries view**: See a sortable, filterable list of the top N queries or query groups ranked by metrics like latency, CPU usage, or memory. You can filter results by time range, index, search type, or coordinator node ID. Key performance data is displayed in a clear table layout, as shown in the following image.
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-**Query details page**: Select a query ID to view detailed information. For individual queries, you'll see the full query body, execution timestamps, CPU and memory usage, phase-level latency, and metadata such as the index, node, and shards. For grouped queries, the page presents aggregate metrics like average latency and total count, along with a representative query example, as shown in the following image.
-**Configuration interface**: Adjust settings directly from the dashboard instead of using the API. You can enable or disable monitoring for specific metrics, set the monitoring window (`window_size`), control how many queries to track (`top_n_size`), choose the grouping strategy (`group_by`), and configure export settings—all through simple, interactive controls, as shown in the following image.
**Why it matters**: Query Insights in OpenSearch Dashboards makes it easier to monitor search performance---whether you're an administrator monitoring query performance or a developer investigating specific query issues. You can quickly visualize data, explore individual queries, and adjust settings without needing to interact with the API. For setup instructions and usage tips, see [Query Insights dashboards](https://opensearch.org/docs/latest/observing-your-data/query-insights/query-insights-dashboard/).
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