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articles/synapse-analytics/sql-data-warehouse/release-notes-10-0-10106-0.md

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|**Azure Monitor resource logs**|Azure Synapse now enables enhanced insights into analytical workloads by integrating directly with Azure Monitor resource logs. This new capability enables developers to analyze workload behavior over an extended time period and make informed decisions on query optimization or capacity management. We have now introduced an external logging process through [Azure Monitor resource logs](/azure/azure-monitor/data-platform?toc=/azure/synapse-analytics/sql-data-warehouse/toc.json&bc=/azure/synapse-analytics/sql-data-warehouse/breadcrumb/toc.json#logs) that provide additional insights into your data warehouse workload. With a single click of a button, you are now able to configure resource logs for historical query performance troubleshooting capabilities using [Log Analytics](/azure/azure-monitor/logs/log-query-overview?toc=/azure/synapse-analytics/sql-data-warehouse/toc.json&bc=/azure/synapse-analytics/sql-data-warehouse/breadcrumb/toc.json). Azure Monitor resource logs support customizable retention periods by saving the logs to a storage account for auditing purposes, the capability to stream logs to event hubs near real-time telemetry insights, and the ability to analyze logs using Log Analytics with log queries. Resource logs consist of telemetry views of your data warehouse equivalent to the most commonly used performance troubleshooting DMVs for SQL Analytics in Azure Synapse. For this initial release, we have enabled views for the following system dynamic management views:<br/><br/>&bull; &nbsp; [sys.dm_pdw_exec_requests](/sql/relational-databases/system-dynamic-management-views/sys-dm-pdw-exec-requests-transact-sql?toc=/azure/synapse-analytics/sql-data-warehouse/toc.json&bc=/azure/synapse-analytics/sql-data-warehouse/breadcrumb/toc.json&view=azure-sqldw-latest&preserve-view=true)<br/>&bull; &nbsp; [sys.dm_pdw_request_steps](/sql/relational-databases/system-dynamic-management-views/sys-dm-pdw-request-steps-transact-sql?toc=/azure/synapse-analytics/sql-data-warehouse/toc.json&bc=/azure/synapse-analytics/sql-data-warehouse/breadcrumb/toc.json&view=azure-sqldw-latest&preserve-view=true)<br/>&bull; &nbsp; [sys.dm_pdw_dms_workers](/sql/relational-databases/system-dynamic-management-views/sys-dm-pdw-dms-workers-transact-sql?toc=/azure/synapse-analytics/sql-data-warehouse/toc.json&bc=/azure/synapse-analytics/sql-data-warehouse/breadcrumb/toc.json&view=azure-sqldw-latest&preserve-view=true)<br/>&bull; &nbsp; [sys.dm_pdw_waits](/sql/relational-databases/system-dynamic-management-views/sys-dm-pdw-waits-transact-sql?toc=/azure/synapse-analytics/sql-data-warehouse/toc.json&bc=/azure/synapse-analytics/sql-data-warehouse/breadcrumb/toc.json&view=azure-sqldw-latest&preserve-view=true)<br/>&bull; &nbsp; [sys.dm_pdw_sql_requests](/sql/relational-databases/system-dynamic-management-views/sys-dm-pdw-sql-requests-transact-sql?toc=/azure/synapse-analytics/sql-data-warehouse/toc.json&bc=/azure/synapse-analytics/sql-data-warehouse/breadcrumb/toc.json&view=azure-sqldw-latest&preserve-view=true)|
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|**Columnstore memory management**|As the number of compressed column store row groups increases, the memory required to manage the internal column segment metadata for those rowgroups increases. As a result, query performance and queries executed against some of the Columnstore Dynamic Management Views (DMVs) can degrade. Improvements have made in this release to optimize the size of the internal metadata for these cases, leading to improved experience and performance for such queries.|
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|**Azure Data Lake Storage Gen2 integration (GA)**|Synapse Analytics now has native integration with Azure Data Lake Storage Gen2. Customers can now load data using external tables from ABFS into dedicated SQL pool(formerly SQL DW). This functionality enables customers to integrate with their data lakes in Data Lake Storage Gen2.|
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|**Notable Bugs**|CETAS to Parquet failures in small resource classes on Data warehouses of DW2000 and more - This fix correctly identifies a null reference in the Create External Table As to Parquet code path.<br/><br/>Identity column value might lose in some CTAS operation - The value of an identify column may not be preserved when CTASed to another table. Reported in a [blog](https://blog.westmonroepartners.com/azure-sql-dw-identity-column-bugs/).<br/><br/>Internal failure in some cases when a session is terminated while a query is still running - This fix triggers an InvalidOperationException if a session is terminated when the query is still running.<br/><br/>(Deployed in November 2018) Customers were experiencing a suboptimal performance when attempting to load multiple small files from ADLS (Gen1) using Polybase. - System performance was bottlenecked during AAD security token validation. Performance problems were mitigated by enabling caching of security tokens. |
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|**Notable Bugs**|CETAS to Parquet failures in small resource classes on Data warehouses of DW2000 and more - This fix correctly identifies a null reference in the Create External Table As to Parquet code path.<br/><br/>Identity column value might lose in some CTAS operation - The value of an identify column may not be preserved when CTASed to another table.<br/><br/>Internal failure in some cases when a session is terminated while a query is still running - This fix triggers an InvalidOperationException if a session is terminated when the query is still running.<br/><br/>(Deployed in November 2018) Customers were experiencing a suboptimal performance when attempting to load multiple small files from ADLS (Gen1) using Polybase. - System performance was bottlenecked during AAD security token validation. Performance problems were mitigated by enabling caching of security tokens. |
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