Merge pull request #290159 from kevinjaku/known-issue-spark

Update known-issues.md

Author: prmerger-automator[bot]

articles/synapse-analytics/known-issues.md

@@ -36,8 +36,6 @@ To learn more about Azure Synapse Analytics, see the [Azure Synapse Analytics Ov
 |Azure Synapse Workspace|[Known issue incorporating square brackets [] in the value of Tags](#known-issue-incorporating-square-brackets--in-the-value-of-tags)|Has workaround|
 |Azure Synapse Workspace|[Deployment Failures in Synapse Workspace using Synapse-workspace-deployment v1.8.0 in GitHub actions with ARM templates](#deployment-failures-in-synapse-workspace-using-synapse-workspace-deployment-v180-in-github-actions-with-arm-templates)|Has workaround|
 |Azure Synapse Workspace|[No `GET` API operation dedicated to the `Microsoft.Synapse/workspaces/trustedServiceBypassEnabled` setting](#no-get-api-operation-dedicated-to-the-microsoftsynapseworkspacestrustedservicebypassenabled-setting)|Has workaround|
-|Azure Synapse Apache Spark pool|[Query failure with a LIKE clause using Synapse Dedicated SQL Pool Connector in Spark 3.4 runtime](#query-failure-with-a-like-clause-using-synapse-dedicated-sql-pool-connector-in-spark-34-runtime)|Has Workaround|
-
 
 
 ## Azure Synapse Analytics dedicated SQL pool active known issues summary
@@ -231,18 +229,6 @@ When you query the view for which the underlying schema has changed after the vi
 
 **Workaround**: Manually adjust the view definition. 
 
-## Azure Synapse Analytics Apache Spark pool active known issues summary
-
-The following are known issues with the Synapse Spark.
-
-### Query failure with a LIKE clause using Synapse Dedicated SQL Pool Connector in Spark 3.4 runtime
-
-The open source Apache Spark 3.4 has introduced an [issue](https://issues.apache.org/jira/browse/SPARK-46029), which escapes special characters, but Synapse SQL does not support the escape keyword. When customers use the [Azure Synapse Dedicated SQL Pool Connector for Apache Spark](spark/synapse-spark-sql-pool-import-export.md), it can generate an invalid SQL query for Synapse SQL and the Synapse Spark notebook or batch job would throw an error similar to:
-
-`com.microsoft.spark.sqlanalytics.SQLAnalyticsConnectorException: com.microsoft.sqlserver.jdbc.SQLServerException: Parse error at line: 1, column: XXX: Incorrect syntax near ''%test%''`
-
-**Workaround**: The engineering team is currently aware of this behavior and working on a fix. If you encountered a similar error, please engage Microsoft Support Team for assistance and to provide a temporary workaround.
-
 
 ## Recently closed known issues
 
@@ -252,6 +238,7 @@ The open source Apache Spark 3.4 has introduced an [issue](https://issues.apache
 |Azure Synapse serverless SQL pool|[Query failures while reading Cosmos DB data using OPENROWSET](#query-failures-while-reading-azure-cosmos-db-data-using-openrowset)|Resolved|March 2023|
 |Azure Synapse Apache Spark pool|[Failed to write to SQL Dedicated Pool from Synapse Spark using Azure Synapse dedicated SQL pool Connector for Apache Spark when using notebooks in pipelines](#failed-to-write-to-sql-dedicated-pool-from-synapse-spark-using-azure-synapse-dedicated-sql-pool-connector-for-apache-spark-when-using-notebooks-in-pipelines)|Resolved|June 2023|
 |Azure Synapse Apache Spark pool|[Certain spark job or task fails too early with Error Code 503 due to storage account throttling](#certain-spark-job-or-task-fails-too-early-with-error-code-503-due-to-storage-account-throttling)|Resolved|November 2023|
+|Azure Synapse Apache Spark pool|[Query failure with a LIKE clause using Synapse Dedicated SQL Pool Connector in Spark 3.4 runtime](#query-failure-with-a-like-clause-using-synapse-dedicated-sql-pool-connector-in-spark-34-runtime)|Resolved|October 2024|
 
 ## Azure Synapse Analytics serverless SQL pool recently closed known issues summary
 
@@ -287,6 +274,14 @@ Between October 3, 2023 and November 16, 2023, few Azure Synapse Analytics Apach
 
 **Status**: Resolved
 
+### Query failure with a LIKE clause using Synapse Dedicated SQL Pool Connector in Spark 3.4 runtime
+
+The open source Apache Spark 3.4 has introduced an [issue](https://issues.apache.org/jira/browse/SPARK-46029), which escapes special characters, but Synapse SQL does not support the escape keyword. When customers use the [Azure Synapse Dedicated SQL Pool Connector for Apache Spark](spark/synapse-spark-sql-pool-import-export.md), it can generate an invalid SQL query for Synapse SQL and the Synapse Spark notebook or batch job would throw an error similar to:
+
+`com.microsoft.spark.sqlanalytics.SQLAnalyticsConnectorException: com.microsoft.sqlserver.jdbc.SQLServerException: Parse error at line: 1, column: XXX: Incorrect syntax near ''%test%''`
+
+**Status**: Resolved
+
 ## Related content
 
 - [Synapse Studio troubleshooting](troubleshoot/troubleshoot-synapse-studio.md)