title | description | services | author | ms.author | ms.reviewer | ms.service | ms.custom | ms.topic | ms.date |
---|---|---|---|---|---|---|---|---|---|
Java HBase client - Azure HDInsight |
Learn how to use Apache Maven to build a Java-based Apache HBase application, then deploy it to HBase on Azure HDInsight. |
hdinsight |
hrasheed-msft |
hrasheed |
jasonh |
hdinsight |
hdinsightactive |
conceptual |
11/27/2018 |
Learn how to create an Apache HBase application in Java. Then use the application with HBase on Azure HDInsight.
The steps in this document use Apache Maven to create and build the project. Maven is a software project management and comprehension tool that allows you to build software, documentation, and reports for Java projects.
Note
The steps in this document were most recently tested with HDInsight 3.6.
Important
The steps in this document require an HDInsight cluster that uses Linux. Linux is the only operating system used on HDInsight version 3.4 or greater. For more information, see HDInsight retirement on Windows.
-
Java platform JDK 8 or later.
[!NOTE] HDInsight 3.5 and greater requires Java 8. Earlier versions of HDInsight require Java 7.
-
From the command line in your development environment, change directories to the location where you want to create the project, for example,
cd code\hbase
. -
Use the mvn command, which is installed with Maven, to generate the scaffolding for the project.
mvn archetype:generate -DgroupId=com.microsoft.examples -DartifactId=hbaseapp -DarchetypeArtifactId=maven-archetype-quickstart -DinteractiveMode=false
[!NOTE] If you are using PowerShell, you must enclose the
-D
parameters in double quotes.mvn archetype:generate "-DgroupId=com.microsoft.examples" "-DartifactId=hbaseapp" "-DarchetypeArtifactId=maven-archetype-quickstart" "-DinteractiveMode=false"
This command creates a directory with the same name as the artifactID parameter (hbaseapp in this example.) This directory contains the following items:
- pom.xml: The Project Object Model (POM) contains information and configuration details used to build the project.
- src: The directory that contains the main/java/com/microsoft/examples directory, where you author the application.
-
Delete the
src/test/java/com/microsoft/examples/apptest.java
file. It isn't used in this example.
-
Edit the
pom.xml
file and add the following code inside the<dependencies>
section:<dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-client</artifactId> <version>1.1.2</version> </dependency> <dependency> <groupId>org.apache.phoenix</groupId> <artifactId>phoenix-core</artifactId> <version>4.4.0-HBase-1.1</version> </dependency>
This section indicates that the project needs hbase-client and phoenix-core components. At compile time, these dependencies are downloaded from the default Maven repository. You can use the Maven Central Repository Search to learn more about this dependency.
[!IMPORTANT] The version number of the hbase-client must match the version of Apache HBase that is provided with your HDInsight cluster. Use the following table to find the correct version number.
HDInsight cluster version Apache HBase version to use 3.2 0.98.4-hadoop2 3.3, 3.4, 3.5, and 3.6 1.1.2 For more information on HDInsight versions and components, see What are the different Hadoop components available with HDInsight.
-
Add the following code to the pom.xml file. This text must be inside the
<project>...</project>
tags in the file, for example, between</dependencies>
and</project>
.<build> <sourceDirectory>src</sourceDirectory> <resources> <resource> <directory>${basedir}/conf</directory> <filtering>false</filtering> <includes> <include>hbase-site.xml</include> </includes> </resource> </resources> <plugins> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <version>3.3</version> <configuration> <source>1.8</source> <target>1.8</target> </configuration> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-shade-plugin</artifactId> <version>2.3</version> <configuration> <transformers> <transformer implementation="org.apache.maven.plugins.shade.resource.ApacheLicenseResourceTransformer"> </transformer> </transformers> </configuration> <executions> <execution> <phase>package</phase> <goals> <goal>shade</goal> </goals> </execution> </executions> </plugin> </plugins> </build>
This section configures a resource (
conf/hbase-site.xml
) that contains configuration information for HBase.[!NOTE] You can also set configuration values via code. See the comments in the
CreateTable
example.This section also configures the Maven Compiler Plugin and Maven Shade Plugin. The compiler plug-in is used to compile the topology. The shade plug-in is used to prevent license duplication in the JAR package that is built by Maven. This plugin is used to prevent a "duplicate license files" error at run time on the HDInsight cluster. Using maven-shade-plugin with the
ApacheLicenseResourceTransformer
implementation prevents the error.The maven-shade-plugin also produces an uber jar that contains all the dependencies required by the application.
-
Save the
pom.xml
file. -
Create a directory named
conf
in thehbaseapp
directory. This directory is used to hold configuration information for connecting to HBase. -
Use the following command to copy the HBase configuration from the HBase cluster to the
conf
directory. ReplaceUSERNAME
with the name of your SSH login. ReplaceCLUSTERNAME
with your HDInsight cluster name:scp [email protected]:/etc/hbase/conf/hbase-site.xml ./conf/hbase-site.xml
For more information on using
ssh
andscp
, see Use SSH with HDInsight.
-
Go to the
hbaseapp/src/main/java/com/microsoft/examples
directory and rename the app.java file toCreateTable.java
. -
Open the
CreateTable.java
file and replace the existing contents with the following text:package com.microsoft.examples; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.client.HBaseAdmin; import org.apache.hadoop.hbase.HTableDescriptor; import org.apache.hadoop.hbase.TableName; import org.apache.hadoop.hbase.HColumnDescriptor; import org.apache.hadoop.hbase.client.HTable; import org.apache.hadoop.hbase.client.Put; import org.apache.hadoop.hbase.util.Bytes; public class CreateTable { public static void main(String[] args) throws IOException { Configuration config = HBaseConfiguration.create(); // Example of setting zookeeper values for HDInsight // in code instead of an hbase-site.xml file // // config.set("hbase.zookeeper.quorum", // "zookeepernode0,zookeepernode1,zookeepernode2"); //config.set("hbase.zookeeper.property.clientPort", "2181"); //config.set("hbase.cluster.distributed", "true"); // //NOTE: Actual zookeeper host names can be found using Ambari: //curl -u admin:PASSWORD -G "https://CLUSTERNAME.azurehdinsight.net/api/v1/clusters/CLUSTERNAME/hosts" //Linux-based HDInsight clusters use /hbase-unsecure as the znode parent config.set("zookeeper.znode.parent","/hbase-unsecure"); // create an admin object using the config HBaseAdmin admin = new HBaseAdmin(config); // create the table... HTableDescriptor tableDescriptor = new HTableDescriptor(TableName.valueOf("people")); // ... with two column families tableDescriptor.addFamily(new HColumnDescriptor("name")); tableDescriptor.addFamily(new HColumnDescriptor("contactinfo")); admin.createTable(tableDescriptor); // define some people String[][] people = { { "1", "Marcel", "Haddad", "[email protected]"}, { "2", "Franklin", "Holtz", "[email protected]" }, { "3", "Dwayne", "McKee", "[email protected]" }, { "4", "Rae", "Schroeder", "[email protected]" }, { "5", "Rosalie", "burton", "[email protected]"}, { "6", "Gabriela", "Ingram", "[email protected]"} }; HTable table = new HTable(config, "people"); // Add each person to the table // Use the `name` column family for the name // Use the `contactinfo` column family for the email for (int i = 0; i< people.length; i++) { Put person = new Put(Bytes.toBytes(people[i][0])); person.add(Bytes.toBytes("name"), Bytes.toBytes("first"), Bytes.toBytes(people[i][1])); person.add(Bytes.toBytes("name"), Bytes.toBytes("last"), Bytes.toBytes(people[i][2])); person.add(Bytes.toBytes("contactinfo"), Bytes.toBytes("email"), Bytes.toBytes(people[i][3])); table.put(person); } // flush commits and close the table table.flushCommits(); table.close(); } }
This code is the CreateTable class, which creates a table named people and populate it with some predefined users.
-
Save the
CreateTable.java
file. -
In the
hbaseapp/src/main/java/com/microsoft/examples
directory, create a file namedSearchByEmail.java
. Use the following text as the contents of this file:package com.microsoft.examples; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.client.HTable; import org.apache.hadoop.hbase.client.Scan; import org.apache.hadoop.hbase.client.ResultScanner; import org.apache.hadoop.hbase.client.Result; import org.apache.hadoop.hbase.filter.RegexStringComparator; import org.apache.hadoop.hbase.filter.SingleColumnValueFilter; import org.apache.hadoop.hbase.filter.CompareFilter.CompareOp; import org.apache.hadoop.hbase.util.Bytes; import org.apache.hadoop.util.GenericOptionsParser; public class SearchByEmail { public static void main(String[] args) throws IOException { Configuration config = HBaseConfiguration.create(); // Use GenericOptionsParser to get only the parameters to the class // and not all the parameters passed (when using WebHCat for example) String[] otherArgs = new GenericOptionsParser(config, args).getRemainingArgs(); if (otherArgs.length != 1) { System.out.println("usage: [regular expression]"); System.exit(-1); } // Open the table HTable table = new HTable(config, "people"); // Define the family and qualifiers to be used byte[] contactFamily = Bytes.toBytes("contactinfo"); byte[] emailQualifier = Bytes.toBytes("email"); byte[] nameFamily = Bytes.toBytes("name"); byte[] firstNameQualifier = Bytes.toBytes("first"); byte[] lastNameQualifier = Bytes.toBytes("last"); // Create a regex filter RegexStringComparator emailFilter = new RegexStringComparator(otherArgs[0]); // Attach the regex filter to a filter // for the email column SingleColumnValueFilter filter = new SingleColumnValueFilter( contactFamily, emailQualifier, CompareOp.EQUAL, emailFilter ); // Create a scan and set the filter Scan scan = new Scan(); scan.setFilter(filter); // Get the results ResultScanner results = table.getScanner(scan); // Iterate over results and print values for (Result result : results ) { String id = new String(result.getRow()); byte[] firstNameObj = result.getValue(nameFamily, firstNameQualifier); String firstName = new String(firstNameObj); byte[] lastNameObj = result.getValue(nameFamily, lastNameQualifier); String lastName = new String(lastNameObj); System.out.println(firstName + " " + lastName + " - ID: " + id); byte[] emailObj = result.getValue(contactFamily, emailQualifier); String email = new String(emailObj); System.out.println(firstName + " " + lastName + " - " + email + " - ID: " + id); } results.close(); table.close(); } }
The SearchByEmail class can be used to query for rows by email address. Because it uses a regular expression filter, you can provide either a string or a regular expression when using the class.
-
Save the
SearchByEmail.java
file. -
In the
hbaseapp/src/main/hava/com/microsoft/examples
directory, create a file namedDeleteTable.java
. Use the following text as the contents of this file:package com.microsoft.examples; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.client.HBaseAdmin; public class DeleteTable { public static void main(String[] args) throws IOException { Configuration config = HBaseConfiguration.create(); // Create an admin object using the config HBaseAdmin admin = new HBaseAdmin(config); // Disable, and then delete the table admin.disableTable("people"); admin.deleteTable("people"); } }
This class cleans up the HBase tables created in this example by disabling and dropping the table created by the
CreateTable
class. -
Save the
DeleteTable.java
file.
-
From the
hbaseapp
directory, use the following command to build a JAR file that contains the application:mvn clean package
This command builds and packages the application into a .jar file.
-
When the command completes, the
hbaseapp/target
directory contains a file namedhbaseapp-1.0-SNAPSHOT.jar
.[!NOTE] The
hbaseapp-1.0-SNAPSHOT.jar
file is an uber jar. It contains all the dependencies required to run the application.
The following steps use scp
to copy the JAR to the primary head node of your Apache HBase on HDInsight cluster. The ssh
command is then used to connect to the cluster and run the example directly on the head node.
-
To upload the jar to the cluster, use the following command:
scp ./target/hbaseapp-1.0-SNAPSHOT.jar [email protected]:hbaseapp-1.0-SNAPSHOT.jar
Replace
USERNAME
with the name of your SSH login. ReplaceCLUSTERNAME
with your HDInsight cluster name. -
To connect to the HBase cluster, use the following command:
Replace
USERNAME
the name of your SSH login. ReplaceCLUSTERNAME
with your HDInsight cluster name. -
To create an HBase table using the Java application, use the following command:
yarn jar hbaseapp-1.0-SNAPSHOT.jar com.microsoft.examples.CreateTable
This command creates a HBase table named people, and populates it with data.
-
To search for email addresses stored in the table, use the following command:
yarn jar hbaseapp-1.0-SNAPSHOT.jar com.microsoft.examples.SearchByEmail contoso.com
You receive the following results:
Franklin Holtz - ID: 2 Franklin Holtz - [email protected] - ID: 2 Rae Schroeder - ID: 4 Rae Schroeder - [email protected] - ID: 4 Gabriela Ingram - ID: 6 Gabriela Ingram - [email protected] - ID: 6
-
To delete the table, use the following command:
yarn jar hbaseapp-1.0-SNAPSHOT.jar com.microsoft.examples.DeleteTable
The following steps use Azure PowerShell to upload the JAR to the default storage for your Apache HBase cluster. HDInsight cmdlets are then used to run the examples remotely.
-
After installing and configuring Azure PowerShell, create a file named
hbase-runner.psm1
. Use the following text as the contents of this file:<# .SYNOPSIS Copies a file to the primary storage of an HDInsight cluster. .DESCRIPTION Copies a file from a local directory to the blob container for the HDInsight cluster. .EXAMPLE Start-HBaseExample -className "com.microsoft.examples.CreateTable" -clusterName "MyHDInsightCluster" .EXAMPLE Start-HBaseExample -className "com.microsoft.examples.SearchByEmail" -clusterName "MyHDInsightCluster" -emailRegex "contoso.com" .EXAMPLE Start-HBaseExample -className "com.microsoft.examples.SearchByEmail" -clusterName "MyHDInsightCluster" -emailRegex "^r" -showErr #> function Start-HBaseExample { [CmdletBinding(SupportsShouldProcess = $true)] param( #The class to run [Parameter(Mandatory = $true)] [String]$className, #The name of the HDInsight cluster [Parameter(Mandatory = $true)] [String]$clusterName, #Only used when using SearchByEmail [Parameter(Mandatory = $false)] [String]$emailRegex, #Use if you want to see stderr output [Parameter(Mandatory = $false)] [Switch]$showErr ) Set-StrictMode -Version 3 # Is the Azure module installed? FindAzure # Get the login for the HDInsight cluster $creds=Get-Credential -Message "Enter the login for the cluster" -UserName "admin" # The JAR $jarFile = "wasb:///example/jars/hbaseapp-1.0-SNAPSHOT.jar" # The job definition $jobDefinition = New-AzureRmHDInsightMapReduceJobDefinition ` -JarFile $jarFile ` -ClassName $className ` -Arguments $emailRegex # Get the job output $job = Start-AzureRmHDInsightJob ` -ClusterName $clusterName ` -JobDefinition $jobDefinition ` -HttpCredential $creds Write-Host "Wait for the job to complete ..." -ForegroundColor Green Wait-AzureRmHDInsightJob ` -ClusterName $clusterName ` -JobId $job.JobId ` -HttpCredential $creds if($showErr) { Write-Host "STDERR" Get-AzureRmHDInsightJobOutput ` -Clustername $clusterName ` -JobId $job.JobId ` -HttpCredential $creds ` -DisplayOutputType StandardError } Write-Host "Display the standard output ..." -ForegroundColor Green Get-AzureRmHDInsightJobOutput ` -Clustername $clusterName ` -JobId $job.JobId ` -HttpCredential $creds } <# .SYNOPSIS Copies a file to the primary storage of an HDInsight cluster. .DESCRIPTION Copies a file from a local directory to the blob container for the HDInsight cluster. .EXAMPLE Add-HDInsightFile -localPath "C:\temp\data.txt" -destinationPath "example/data/data.txt" -ClusterName "MyHDInsightCluster" .EXAMPLE Add-HDInsightFile -localPath "C:\temp\data.txt" -destinationPath "example/data/data.txt" -ClusterName "MyHDInsightCluster" -Container "MyContainer" #> function Add-HDInsightFile { [CmdletBinding(SupportsShouldProcess = $true)] param( #The path to the local file. [Parameter(Mandatory = $true)] [String]$localPath, #The destination path and file name, relative to the root of the container. [Parameter(Mandatory = $true)] [String]$destinationPath, #The name of the HDInsight cluster [Parameter(Mandatory = $true)] [String]$clusterName, #If specified, overwrites existing files without prompting [Parameter(Mandatory = $false)] [Switch]$force ) Set-StrictMode -Version 3 # Is the Azure module installed? FindAzure # Get authentication for the cluster $creds=Get-Credential # Does the local path exist? if (-not (Test-Path $localPath)) { throw "Source path '$localPath' does not exist." } # Get the primary storage container $storage = GetStorage -clusterName $clusterName # Upload file to storage, overwriting existing files if -force was used. Set-AzureStorageBlobContent -File $localPath ` -Blob $destinationPath ` -force:$force ` -Container $storage.container ` -Context $storage.context } function FindAzure { # Is there an active Azure subscription? $sub = Get-AzureRmSubscription -ErrorAction SilentlyContinue if(-not($sub)) { throw "No active Azure subscription found! If you have a subscription, use the Connect-AzureRmAccount cmdlet to login to your subscription." } } function GetStorage { param( [Parameter(Mandatory = $true)] [String]$clusterName ) $hdi = Get-AzureRmHDInsightCluster -ClusterName $clusterName # Does the cluster exist? if (!$hdi) { throw "HDInsight cluster '$clusterName' does not exist." } # Create a return object for context & container $return = @{} $storageAccounts = @{} # Get storage information $resourceGroup = $hdi.ResourceGroup $storageAccountName=$hdi.DefaultStorageAccount.split('.')[0] $container=$hdi.DefaultStorageContainer $storageAccountKey=(Get-AzureRmStorageAccountKey ` -Name $storageAccountName ` -ResourceGroupName $resourceGroup)[0].Value # Get the resource group, in case we need that $return.resourceGroup = $resourceGroup # Get the storage context, as we can't depend # on using the default storage context $return.context = New-AzureStorageContext -StorageAccountName $storageAccountName -StorageAccountKey $storageAccountKey # Get the container, so we know where to # find/store blobs $return.container = $container # Return storage accounts to support finding all accounts for # a cluster $return.storageAccount = $storageAccountName $return.storageAccountKey = $storageAccountKey return $return } # Only export the verb-phrase things export-modulemember *-*
This file contains two modules:
- Add-HDInsightFile - used to upload files to the cluster
- Start-HBaseExample - used to run the classes created earlier
-
Save the
hbase-runner.psm1
file. -
Open a new Azure PowerShell window, change directories to the
hbaseapp
directory, and then run the following command:PS C:\ Import-Module c:\path\to\hbase-runner.psm1
Change the path to the location of the
hbase-runner.psm1
file created earlier. This command registers the module with Azure PowerShell. -
Use the following command to upload the
hbaseapp-1.0-SNAPSHOT.jar
to your cluster.Add-HDInsightFile -localPath target\hbaseapp-1.0-SNAPSHOT.jar -destinationPath example/jars/hbaseapp-1.0-SNAPSHOT.jar -clusterName hdinsightclustername
Replace
hdinsightclustername
with the name of your cluster. When prompted, enter the cluster login (admin) name and password. The command uploads thehbaseapp-1.0-SNAPSHOT.jar
to theexample/jars
location in the primary storage for your cluster. -
To create a table using the
hbaseapp
, use the following command:Start-HBaseExample -className com.microsoft.examples.CreateTable -clusterName hdinsightclustername
Replace
hdinsightclustername
with the name of your cluster. When prompted, enter the cluster login (admin) name and password.This command creates a table named people in HBase on your HDInsight cluster. This command doesn't show any output in the console window.
-
To search for entries in the table, use the following command:
Start-HBaseExample -className com.microsoft.examples.SearchByEmail -clusterName hdinsightclustername -emailRegex contoso.com
Replace
hdinsightclustername
with the name of your cluster. When prompted, enter the cluster login (admin) name and password.This command uses the
SearchByEmail
class to search for any rows where thecontactinformation
column family and theemail
column, contains the stringcontoso.com
. You should receive the following results:Franklin Holtz - ID: 2 Franklin Holtz - [email protected] - ID: 2 Rae Schroeder - ID: 4 Rae Schroeder - [email protected] - ID: 4 Gabriela Ingram - ID: 6 Gabriela Ingram - [email protected] - ID: 6
Using fabrikam.com for the
-emailRegex
value returns the users that have fabrikam.com in the email field. You can also use regular expressions as the search term. For example, ^r returns email addresses that begin with the letter 'r'.
Use the -showErr
parameter to view the standard error (STDERR) that is produced while running the job.
When you're done with the example, use the following to delete the people table used in this example:
From an ssh
session:
yarn jar hbaseapp-1.0-SNAPSHOT.jar com.microsoft.examples.DeleteTable
From Azure PowerShell:
Start-HBaseExample -className com.microsoft.examples.DeleteTable -clusterName hdinsightclustername