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Fixed HDI version for Kafka 2.4.1 in docs.
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articles/hdinsight/hdinsight-50-component-versioning.md

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@@ -61,9 +61,9 @@ you need to select this version Interactive Query 3.1 (HDI 5.0).
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## Kafka
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Current ARM template supports 5.0 for 2.4.1
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Current ARM template supports HDI 5.0 for Kafka 2.4.1
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`HDI Version'5.0" is supported for clusterType "Kafka" and component Version '2.4'.`
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`HDI Version '5.0' is supported for clusterType "Kafka" and component Version '2.4'.`
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We have fixed the arm templated issue.
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articles/hdinsight/hdinsight-apache-kafka-spark-structured-streaming.md

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@@ -82,11 +82,11 @@ kafkaStreamDF.select(from_json(col("value").cast("string"), schema) as "trip")
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In both snippets, data is read from Kafka and written to file. The differences between the examples are:
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| Batch | Streaming |
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| --- | --- |
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| `read` | `readStream` |
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| Batch | Streaming |
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|---------|---------------|
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| `read` | `readStream` |
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| `write` | `writeStream` |
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| `save` | `start` |
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| `save` | `start` |
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The streaming operation also uses `awaitTermination(30000)`, which stops the stream after 30,000 ms.
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@@ -134,17 +134,17 @@ To create an Azure Virtual Network, and then create the Kafka and Spark clusters
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2. Use the following information to populate the entries on the **Customized template** section:
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| Setting | Value |
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| --- | --- |
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| Subscription | Your Azure subscription |
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| Resource group | The resource group that contains the resources. |
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| Location | The Azure region that the resources are created in. |
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| Spark Cluster Name | The name of the Spark cluster. The first six characters must be different than the Kafka cluster name. |
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| Kafka Cluster Name | The name of the Kafka cluster. The first six characters must be different than the Spark cluster name. |
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| Cluster Login User Name | The admin user name for the clusters. |
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| Cluster Login Password | The admin user password for the clusters. |
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| SSH User Name | The SSH user to create for the clusters. |
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| SSH Password | The password for the SSH user. |
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| Setting | Value |
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|-------------------------| ------------------------------------------------------------------------------------------------------ |
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| Subscription | Your Azure subscription |
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| Resource group | The resource group that contains the resources. |
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| Location | The Azure region that the resources are created in. |
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| Spark Cluster Name | The name of the Spark cluster. The first six characters must be different than the Kafka cluster name. |
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| Kafka Cluster Name | The name of the Kafka cluster. The first six characters must be different than the Spark cluster name. |
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| Cluster Login User Name | The admin user name for the clusters. |
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| Cluster Login Password | The admin user password for the clusters. |
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| SSH User Name | The SSH user to create for the clusters. |
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| SSH Password | The password for the SSH user. |
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:::image type="content" source="./media/hdinsight-apache-kafka-spark-structured-streaming/spark-kafka-template.png" alt-text="Screenshot of the customized template":::
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articles/hdinsight/kafka/apache-kafka-get-started.md

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@@ -89,7 +89,7 @@ To create an Apache Kafka cluster on HDInsight, use the following steps:
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1. Review the configuration for the cluster. Change any settings that are incorrect. Finally, select **Create** to create the cluster.
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:::image type="content" source="./media/apache-kafka-get-started/azure-hdinsight-50-portal-cluster-review-create-kafka.png" alt-text="Screenshot showing kafka cluster configuration summary for HDI version 4.0." border="true":::
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:::image type="content" source="./media/apache-kafka-get-started/azure-hdinsight-50-portal-cluster-review-create-kafka.png" alt-text="Screenshot showing kafka cluster configuration summary for HDI version 5.0." border="true":::
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It can take up to 20 minutes to create the cluster.

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