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docs/big-data-cluster/concept-compute-pool.md

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[!INCLUDE[tsql-appliesto-ssver15-xxxx-xxxx-xxx](../includes/tsql-appliesto-ssver15-xxxx-xxxx-xxx.md)]
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This article describes the role of *SQL Server compute pools* in a SQL Server 2019 preview big data cluster. Compute pools provide scale-out computational resources for a big data cluster. The following sections describe the architecture and functionality of a compute pool.
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This article describes the role of *SQL Server compute pools* in a SQL Server big data cluster. Compute pools provide scale-out computational resources for a big data cluster. The following sections describe the architecture and functionality of a compute pool.
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## Compute pool architecture
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docs/big-data-cluster/deployment-upgrade.md

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[!INCLUDE[tsql-appliesto-ssver15-xxxx-xxxx-xxx](../includes/tsql-appliesto-ssver15-xxxx-xxxx-xxx.md)]
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This article provides guidance on how to upgrade a SQL Server big data cluster to a new release. The steps in this article specifically apply to how to upgrade between preview releases or from a preview release to SQL Server 2019 service update release.
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This article provides guidance on how to upgrade a SQL Server big data cluster to a new release. The steps in this article specifically apply to how to upgrade from a preview release to SQL Server 2019 service update release.
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## Backup and delete the old cluster
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docs/big-data-cluster/quickstart-big-data-cluster-deploy.md

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The default big data cluster deployment used here consists of a SQL Master instance, one compute pool instance, two data pool instances, and two storage pool instances. Data is persisted using Kubernetes persistent volumes that use the AKS default storage classes. The default configuration used in this tutorial is suitable for dev/test environments.
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[!INCLUDE [Limited public preview note](../includes/big-data-cluster-preview-note.md)]
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## Prerequisites
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- An Azure subscription.

docs/big-data-cluster/spark-mssql-connector.md

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## MSSQL Spark Connector Interface
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SQL Server 2019 preview provides the **MSSQL Spark connector** for big data clusters that uses SQL Server bulk write APIs for Spark to SQL writes. MSSQL Spark Connector is based on Spark data source APIs and provides a familiar Spark JDBC connector interface. For interface parameters refer [Apache Spark documentation](http://spark.apache.org/docs/latest/sql-data-sources-jdbc.html). The MSSQL Spark connector is referenced by the name **com.microsoft.sqlserver.jdbc.spark**.
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SQL Server 2019 provides the **MSSQL Spark connector** for big data clusters that uses SQL Server bulk write APIs for Spark to SQL writes. MSSQL Spark Connector is based on Spark data source APIs and provides a familiar Spark JDBC connector interface. For interface parameters refer [Apache Spark documentation](http://spark.apache.org/docs/latest/sql-data-sources-jdbc.html). The MSSQL Spark connector is referenced by the name **com.microsoft.sqlserver.jdbc.spark**.
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The following table describes interface parameters that have changed or are new:
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docs/includes/big-data-cluster-preview-note.md

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docs/includes/ctp-support-exclusion.md

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