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Copy file name to clipboardExpand all lines: articles/search/cognitive-search-common-errors-warnings.md
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ms.custom:
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- ignite-2023
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ms.topic: conceptual
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ms.date: 02/18/2024
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ms.date: 03/27/2024
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---
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# Troubleshooting common indexer errors and warnings in Azure AI Search
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Warnings don't stop indexing, but they do indicate conditions that could result in unexpected outcomes. Whether you take action or not depends on the data and your scenario.
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## Where can you find specific indexer errors?
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To verify an indexer status and identify errors in the Azure portal, follow the steps below:
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1. Navigate to the Azure portal and locate your AI Search service.
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1. Once you're in the AI Search service, click on the 'Indexers' tab.
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1. From the list of indexers, identify the specific indexer you wish to verify.
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1. Under the 'Execution History' column, click on the 'Status' hyperlink associated with the selected indexer.
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1. If there's an error, hover over the error message. A pane will appear on the right side of your screen displaying detailed information about the error.
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## Transient errors
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For various reasons, such as transient network communication interruptions, timeouts from long-running processes, or specific document nuances, it's common to encounter transient errors or warnings during indexer runs. However, these errors are temporary and should be resolved in subsequent indexer runs.
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To manage these errors effectively, it is recommended [putting your indexer on a schedule](search-howto-schedule-indexers.md), for instance, to run every five minutes. This means the next run will commence five minutes after the completion of the first run, adhering to the [maximum runtime limit](search-limits-quotas-capacity.md#indexer-limits). Regularly scheduled runs help to rectify any transient errors or warnings swiftly.
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If you notice an error persisting over multiple indexer runs, it's likely not a transient issue. In such cases, refer to the list below for potential solutions. Please note, always ensure your indexing schedule aligns with the limitations outlined in our indexer limits guide.
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## Error properties
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Beginning with API version `2019-05-06`, item-level Indexer errors and warnings are structured to provide increased clarity around causes and next steps. They contain the following properties:
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