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Copy file name to clipboardExpand all lines: docs/big-data-cluster/big-data-cluster-release-notes.md
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@@ -5,7 +5,7 @@ description: This article describes the latest updates and known issues for SQL
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author: rothja
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ms.author: jroth
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manager: craigg
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ms.date: 02/28/2019
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ms.date: 03/04/2019
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ms.topic: conceptual
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ms.prod: sql
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ms.technology: big-data-cluster
@@ -34,7 +34,7 @@ The following sections describe the new features and known issues for big data c
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-[Submit Spark jobs on SQL Server Big Data Clusters in IntelliJ](spark-submit-job-intellij-tool-plugin.md).
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-[Common CLI for application deployment and cluster management](big-data-cluster-create-apps.md).
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-[VS Code extension to deploy applications to SQL Server big data clusters](app-deployment-extension.md).
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-New parameter ordering for the **mssqlctl** tool.
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-[Changes to the **mssqlctl** tool command usage](#mssqlctlctp23).
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-[Use Sparklyr in SQL Server 2019 Big data cluster](sparklyr-from-RStudio.md).
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- Mount external HDFS-compatible storage into big data cluster with [HDFS tiering](hdfs-tiering.md).
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- New unified connection experience for the [SQL Server master instance and the HDFS/Spark Gateway](connect-to-big-data-cluster.md).
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- If a big data cluster deployment fails, the associated namespace is not removed. This could result in an orphaned namespace on the cluster. A workaround is to delete the namespace manually before deploying a cluster with the same name.
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#### <aid="mssqlctlctp23"></a> mssqlctl
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- The **mssqlctl** tool changed from a verb-noun command ordering to a noun-verb order. For example, `mssqlctl create cluster` is now `mssqlctl cluster create`.
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- The `--name` parameter is now required when creating a cluster with `mssqlctl cluster create`.
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```bash
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mssqlctl cluster create --name <cluster_name>
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```
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- For important information about upgrading to the latest version of big data clusters and **mssqlctl**, see [Upgrade to a new release](deployment-guidance.md#upgrade).
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#### External tables
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- It is possible to create a data pool external table for a table that has unsupported column types. If you query the external table, you get a message similar to the following:
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