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‎docs/big-data-cluster/known-issues.md‎

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- **Workaround**: There's no workaround for this issue. We recommend to not enable encryption in this configuration until a fix is in place.
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### Resolved issues
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SQL Server Big Data Clusters CU3 resolves the following issues from previous releases.
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- [Deployment with private repository](release-notes-big-data-cluster.md#deployment-with-private-repository)
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- [Upgrade may fail due to timeout](release-notes-big-data-cluster.md#upgrade-may-fail-due-to-timeout)
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## <a id="cu2"></a> CU2 (February 2020)
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Cumulative Update 2 (CU2) release for SQL Server Big Data Clusters. The SQL Server Database Engine version for this release is 15.0.4013.40.
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| Package version | Image tag |
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| --- | --- |
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| 15.0.4013.40 | [2019-CU2-ubuntu-16.04] |
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## <a id="cu1"></a> CU1 (January 2020)
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Cumulative Update 1 (CU1) release for SQL Server Big Data Clusters. The SQL Server Database Engine version for this release is 15.0.4003.23.
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| Package version | Image tag |
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| --- | --- |
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| 15.0.4003.23 | [2019-CU1-ubuntu-16.04] |
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## <a id="rtm"></a> GDR1 (November 2019)
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SQL Server Big Data Clusters General Distribution Release 1 (GDR1) - introduces general availability for [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-nover.md)]. The SQL Server Database Engine version for this release is 15.0.2070.34.
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| Package version | Image tag |
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| --- | --- |
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| 15.0.2070.34 | [2019-GDR1-ubuntu-16.04] |
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[!INCLUDE[sql-server-servicing-updates-version-15](../includes/sql-server-servicing-updates-version-15.md)]
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## Related content
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For more information about [!INCLUDE[ssbigdataclusters-ver15](../includes/ssbigdataclusters-ver15.md)], see [Introducing [!INCLUDE[big-data-clusters-nover](../includes/ssbigdataclusters-ss-nover.md)]](big-data-cluster-overview.md).

‎docs/big-data-cluster/release-notes-cumulative-update-22.md‎

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title: SQL Server 2019 Big Data Clusters CU22 release notes
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titleSuffix: SQL Server Big Data Clusters
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description: This article describes the SQL Server 2019 Big Data Clusters Cumulative Update 21 contents.
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description: This article describes the SQL Server 2019 Big Data Clusters Cumulative Update 22 contents.
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author: WilliamDAssafMSFT
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ms.reviewer: hudequei

‎docs/big-data-cluster/release-notes-cumulative-update-23.md‎

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title: SQL Server 2019 Big Data Clusters CU23 release notes
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titleSuffix: SQL Server Big Data Clusters
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description: This article describes the SQL Server 2019 Big Data Clusters Cumulative Update 21 contents.
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description: This article describes the SQL Server 2019 Big Data Clusters Cumulative Update 23 contents.
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author: WilliamDAssafMSFT
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‎docs/big-data-cluster/release-notes-cumulative-updates-history.md‎

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- Upgraded base images from Ubuntu 16.04 to Ubuntu 20.04.
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> [!CAUTION]
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> Ubuntu 20.04 has stricter security requirements and you may see issues when using BDC to connect to SQL Server instances before SQL Server 2017. For more information, see [Failed to connect to remote instance of SQL Server 2016 or older](release-notes-big-data-cluster.md#failed-to-connect-to-remote-instance-of-sql-server-2016-or-older).
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> Ubuntu 20.04 has stricter security requirements and you may see issues when using BDC to connect to SQL Server instances before SQL Server 2017. For more information, see [Failed to connect to remote instance of SQL Server 2016 or older](known-issues.md#failed-to-connect-to-remote-instance-of-sql-server-2016-or-older).
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- High availability support for Hadoop KMS components.
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- Additional configuration settings for SQL Server networking and process affinity at the resource-scope. See [Master Pool resource-scope settings](reference-config-bdc-overview.md#master-pool-resource-scope-settings).
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- Resource management for Spark-related containers through [cluster-scope settings](reference-config-bdc-overview.md#cluster-scope-settings).
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| --- | --- |
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| 15.0.4023.6 | [2019-CU3-ubuntu-16.04] |
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### Resolved issues
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SQL Server Big Data Clusters CU3 resolves the following issues from previous releases.
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- [Deployment with private repository](#deployment-with-private-repository)
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- [Upgrade may fail due to timeout](#upgrade-may-fail-due-to-timeout)
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## <a id="cu2"></a> CU2 (February 2020)
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Cumulative Update 2 (CU2) release for SQL Server Big Data Clusters. The SQL Server Database Engine version for this release is 15.0.4013.40.
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| Package version | Image tag |
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| --- | --- |
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| 15.0.4013.40 | [2019-CU2-ubuntu-16.04] |
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## <a id="cu1"></a> CU1 (January 2020)
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Cumulative Update 1 (CU1) release for SQL Server Big Data Clusters. The SQL Server Database Engine version for this release is 15.0.4003.23.
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| Package version | Image tag |
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| --- | --- |
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| 15.0.4003.23 | [2019-CU1-ubuntu-16.04] |
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## <a id="rtm"></a> GDR1 (November 2019)
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SQL Server Big Data Clusters General Distribution Release 1 (GDR1) - introduces general availability for [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-nover.md)]. The SQL Server Database Engine version for this release is 15.0.2070.34.
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| Package version | Image tag |
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| --- | --- |
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| 15.0.2070.34 | [2019-GDR1-ubuntu-16.04] |
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[!INCLUDE[sql-server-servicing-updates-version-15](../includes/sql-server-servicing-updates-version-15.md)]
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## Related content
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For more information about [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see [Introducing [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ver15.md)]](big-data-cluster-overview.md)

‎docs/includes/big-data-cluster-root-user.md‎

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Beginning with SQL Server 2019 CU5, when you deploy a new cluster with basic authentication all endpoints including gateway use `AZDATA_USERNAME` and `AZDATA_PASSWORD`. Endpoints on clusters that are upgraded to CU5 continue to use `root` as username to connect to gateway endpoint. This change does not apply to deployments using Active Directory authentication. See [Credentials for accessing services through gateway endpoint](../big-data-cluster/release-notes-big-data-cluster.md#credentials-for-accessing-services-through-gateway-endpoint) in the release notes.
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Beginning with SQL Server 2019 CU5, when you deploy a new cluster with basic authentication all endpoints including gateway use `AZDATA_USERNAME` and `AZDATA_PASSWORD`. Endpoints on clusters that are upgraded to CU5 continue to use `root` as username to connect to gateway endpoint. This change does not apply to deployments using Active Directory authentication. See [Credentials for accessing services through gateway endpoint](../big-data-cluster/known-issues.md#credentials-for-accessing-services-through-gateway-endpoint) in the release notes.

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