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Merge pull request #293811 from charithcaldera/patch-6
Update known-issues.md
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articles/synapse-analytics/known-issues.md

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@@ -5,7 +5,7 @@ description: Learn about the currently known issues with Azure Synapse Analytics
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author: charithcaldera
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ms.author: ccaldera
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ms.reviewer: wiassaf, joanpo
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ms.date: 04/08/2024
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ms.date: 01/30/2025
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ms.service: azure-synapse-analytics
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ms.subservice: overview
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ms.topic: troubleshooting-known-issue
@@ -21,6 +21,8 @@ To learn more about Azure Synapse Analytics, see the [Azure Synapse Analytics Ov
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|Azure Synapse Component|Status|Issue|
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|:---------|:---------|:---------|
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|Azure Synapse dedicated SQL pool|[Data Factory copy command fails with error "The request could not be performed because of an I/O device error"](#data-factory-copy-command-fails-with-error-the-request-could-not-be-performed-because-of-an-io-device-error)|Has workaround|
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|Azure Synapse dedicated SQL pool|[COPY INTO statement fails with error “An internal DMS error occurred that caused this operation to fail.” when managed identity is used](#copy-into-statement-fails-with-error-an-internal-dms-error-occurred-that-caused-this-operation-to-fail--when-managed-identity-is-used)|Has workaround|
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|Azure Synapse dedicated SQL pool|[Customers are unable to monitor their usage of dedicated SQL pool by using metrics](#customers-are-unable-to-monitor-their-usage-of-dedicated-sql-pool-by-using-metrics)|Has workaround|
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|Azure Synapse dedicated SQL pool|[Query failure when ingesting a parquet file into a table with AUTO_CREATE_TABLE='ON'](#query-failure-when-ingesting-a-parquet-file-into-a-table-with-auto_create_tableon)|Has workaround|
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|Azure Synapse dedicated SQL pool|[Queries failing with Data Exfiltration Error](#queries-failing-with-data-exfiltration-error)|Has workaround|
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## Azure Synapse Analytics dedicated SQL pool active known issues summary
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### Data Factory copy command fails with error "The request could not be performed because of an I/O device error"
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Azure Data Factory pipelines use the `COPY INTO` Transact-SQL statement to ingest data at scale into dedicated SQL pool tables. In some rare cases, the `COPY INTO` statement can fail when loading CSV files into dedicated SQL pool table when file split is used in an Azure Data Factory pipeline. File splitting is a mechanism that improves load performance when a small number of larger (1 GB+) files are loaded in a single copy task. When file splitting is enabled, a single file can be loaded by multiple parallel threads, where every thread is assigned a part of the file.
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**Workaround**: Impacted customers should disable file split in Azure Data Factory.
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### COPY INTO statement fails with error “An internal DMS error occurred that caused this operation to fail.” when managed identity is used
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When using `COPY INTO` command with a managed identity, the statement can fail after a long-running query with error message “An internal DMS error occurred that caused this operation to fail”.
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**Workaround**: Impacted customers may use an alternative authentication method for the storage account, such as a Shared Access Key.
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### Customers are unable to monitor their usage of dedicated SQL pool by using metrics
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An internal upgrade of our telemetry emission logic, which was meant to enhance the performance and reliability of our telemetry data, caused an unexpected issue that affected some customers' ability to monitor their dedicated SQL pool, `tempdb`, and Data Warehouse Data IO metrics.

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