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articles/hdinsight/hdinsight-phoenix-in-hdinsight.md

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title: Apache Phoenix in HDInsight - Azure HDInsight
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description: Overview of Apache Phoenix
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author: ashishthaps
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ms.author: ashishth
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ms.reviewer: jasonh
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ms.service: hdinsight
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ms.custom: hdinsightactive
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ms.topic: conceptual
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ms.date: 09/05/2019
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ms.author: ashishth
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---
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# Apache Phoenix in Azure HDInsight
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2. Select **HBase** from the list of services in the left-hand menu, then select the **Configs** tab.
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![Ambari HBase config](./media/hdinsight-phoenix-in-hdinsight/ambari-hbase-config1.png)
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![Apache Ambari HBase configurations](./media/hdinsight-phoenix-in-hdinsight/ambari-hbase-config1.png)
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3. Find the **Phoenix SQL** configuration section to enable or disable phoenix, and set the query timeout.
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articles/hdinsight/hdinsight-scaling-best-practices.md

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|[Azure CLI](hdinsight-administer-use-command-line.md)|azure hdinsight cluster resize \<clusterName> \<Target Instance Count> |
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|[Azure portal](https://portal.azure.com)|Open your HDInsight cluster pane, select **Cluster size** on the left-hand menu, then on the Cluster size pane, type in the number of worker nodes, and select Save.|
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![Scale cluster](./media/hdinsight-scaling-best-practices/scale-cluster-blade1.png)
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![Azure portal scale cluster option](./media/hdinsight-scaling-best-practices/scale-cluster-blade1.png)
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Using any of these methods, you can scale your HDInsight cluster up or down within minutes.
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3. From the Ambari UI, select **YARN** on the list of services on the left-hand menu.
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4. From the YARN page, select **Quick Links** and hover over the active head node, then select **ResourceManager UI**.
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![ResourceManager UI](./media/hdinsight-scaling-best-practices/resource-manager-ui1.png)
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![Apache Ambari quick links ResourceManager UI](./media/hdinsight-scaling-best-practices/resource-manager-ui1.png)
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You may directly access the ResourceManager UI with `https://<HDInsightClusterName>.azurehdinsight.net/yarnui/hn/cluster`.
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