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articles/hdinsight/hdinsight-using-spark-query-hbase.md

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@@ -37,25 +37,25 @@ The high-level process for enabling your Spark cluster to query your HDInsight c
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In this step, you create and populate a table in Apache HBase that you can then query using Spark.
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1. Use `ssh` command to connect to your HBase cluster. Edit the command below by replacing `HBASECLUSTER` with the name of your HBase cluster, and then enter the command:
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1. Use the `ssh` command to connect to your HBase cluster. Edit the command below by replacing `HBASECLUSTER` with the name of your HBase cluster, and then enter the command:
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```cmd
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```
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2. Use `hbase shell` command to start the HBase interactive shell. Enter the following command in your SSH connection:
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2. Use the `hbase shell` command to start the HBase interactive shell. Enter the following command in your SSH connection:
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```bash
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hbase shell
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```
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3. Use `create` command to create an HBase table with two-column families. Enter the following command:
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3. Use the `create` command to create an HBase table with two-column families. Enter the following command:
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```hbase
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create 'Contacts', 'Personal', 'Office'
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```
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4. Use `put` command to insert values at a specified column in a specified row in a particular table. Enter the following command:
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4. Use the `put` command to insert values at a specified column in a specified row in a particular table. Enter the following command:
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```hbase
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put 'Contacts', '1000', 'Personal:Name', 'John Dole'
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put 'Contacts', '8396', 'Office:Address', '5415 San Gabriel Dr.'
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```
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5. Use `exit` command to stop the HBase interactive shell. Enter the following command:
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5. Use the `exit` command to stop the HBase interactive shell. Enter the following command:
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```hbase
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exit

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