如何设置amazon ami'；使用java代码进行hadoop配置

我想设置这个配置

textinputformat.record.delimiter=到hadoop

现在，我使用以下代码在ami上运行pig脚本。有人知道如何使用以下代码设置此配置吗

代码：

您需要做的是创建
BootstrapActionConfig
并将其添加到正在创建的
RunJobFlowRequest
，然后将自定义hadoop配置添加到集群中

以下是我在编辑代码后为您编写的完整代码：

import java.util.ArrayList；
导入java.util.List；
导入com.amazonaws.auth.AWSCredentials；
导入com.amazonaws.auth.BasicAWSCredentials；
导入com.amazonaws.services.elasticmapreduce.AmazonElasticMapReduceClient；
导入com.amazonaws.services.elasticmapreduce.model.bootstrapacationconfig；
导入com.amazonaws.services.elasticmapreduce.model.JobFlowInstancesConfig；
导入com.amazonaws.services.elasticmapreduce.model.RunJobFlowRequest；
导入com.amazonaws.services.elasticmapreduce.model.RunJobFlowResult；
导入com.amazonaws.services.elasticmapreduce.model.scriptbootstrapacationconfig；
导入com.amazonaws.services.elasticmapreduce.model.StepConfig；
导入com.amazonaws.services.elasticmapreduce.util.StepFactory；
/**
* 
*@作者阿马尔
* 
*/
公共类RunEMRJobFlow{
私有静态最终字符串CONFIG_HADOOP_BOOTSTRAP_ACTION=“s3://elasticmapreduce/BOOTSTRAP actions/configure HADOOP”；
公共静态void main（字符串[]args）{
字符串accessKey=“”；
字符串secretKey=“”；
AWSCredentials credentials=新的基本WSCredentials（accessKey、secretKey）；
AmazonElasticMapReduceClient emr=新AmazonElasticMapReduceClient（凭据）；
StepFactory StepFactory=新的StepFactory（）；
StepConfig enabledebugging=new StepConfig（）.withName（“启用调试”）
.withActionOnFailure（“终止作业流”）。withHadoopJarStep（stepFactory.newEnableDebuggingStep（））；
StepConfig installHive=new StepConfig（）.withName（“安装配置单元”）.withActionOnFailure（“终止作业流”）
.withHadoopJarStep（stepFactory.newInstallHiveStep（））；
List setMapperArgs=new ArrayList（）；
setMapperArgs.add（“-s”）；
setMapperArgs.add（“textinputformat.record.delimiter=；”；
BootstrapActionConfig映射程序bootstrapconfig=createBootstrapAction（“设置Hadoop配置”，
配置\u HADOOP\u引导\u操作，setMapperArgs）；
RunJobFlowRequest=新的RunJobFlowRequest（）
.withBootstrapActions（MapperBootstrapConfig）
.withName（“蜂巢互动”）
.with步骤（启用调试、安装配置单元）
.withLogUri（“s3://myawsbucket/”）
.举例说明(
新的JobFlowInstanceConfig（）.withEc2KeyName（“keypair”）.withHadoopVersion（“0.20”）
.withInstanceCount（5）。WithKeepJobFlowAliveWhenNostps（true）
.使用MasterInstanceType（“m1.small”）。使用LaveInstanceType（“m1.small”）；
RunJobFlowResult=emr.runJobFlow（请求）；
}
私有静态BootstrapActionConfig createBootstrapAction（字符串bootstrapName、字符串bootstrapPath、，
列表参数）{
ScriptBootstrapActionConfig bootstrapScriptConfig=new-ScriptBootstrapActionConfig（）；
bootstrappscriptconfig.setPath（bootstrapPath）；
如果（args！=null）{
bootstrapScriptConfig.setArgs（args）；
}
BootstrapActionConfig bootstrapConfig=new BootstrapActionConfig（）；
bootstrapConfig.setName（bootstrapName）；
bootstrapConfig.setscriptbootstrapacation（bootstrapScriptConfig）；
返回bootstrapConfig；
}
}

StepConfig installPig = new StepConfig()
.withName("Install Pig")
.withActionOnFailure(ActionOnFailure.TERMINATE_JOB_FLOW.name())
.withHadoopJarStep(stepFactory.newInstallPigStep());

// [Configure pig script][1]

String[] scriptArgs = new String[] { "-p", input, "-p", output };
StepConfig runPigLatinScript = new StepConfig()
.withName("Run Pig Script")             .withActionOnFailure(ActionOnFailure.CANCEL_AND_WAIT.name())
.withHadoopJarStep(stepFactory.newRunPigScriptStep("s3://pig/script.pig", scriptArgs));

// Configure JobFlow [R1][2], [R3][3]
//
//

RunJobFlowRequest request = new RunJobFlowRequest()
.withName(jobFlowName)
.withSteps(installPig, runPigLatinScript)
.withLogUri(logUri)
.withAmiVersion("2.3.2")
.withInstances(new JobFlowInstancesConfig()
            .withEc2KeyName(this.ec2KeyName)
            .withInstanceCount(this.count)
            .withKeepJobFlowAliveWhenNoSteps(false)
            .withMasterInstanceType(this.masterType)
            .withSlaveInstanceType(this.slaveType));
// Run JobFlow
RunJobFlowResult runJobFlowResult = this.amazonEmrClient.runJobFlow(request);

import java.util.ArrayList;
import java.util.List;

import com.amazonaws.auth.AWSCredentials;
import com.amazonaws.auth.BasicAWSCredentials;
import com.amazonaws.services.elasticmapreduce.AmazonElasticMapReduceClient;
import com.amazonaws.services.elasticmapreduce.model.BootstrapActionConfig;
import com.amazonaws.services.elasticmapreduce.model.JobFlowInstancesConfig;
import com.amazonaws.services.elasticmapreduce.model.RunJobFlowRequest;
import com.amazonaws.services.elasticmapreduce.model.RunJobFlowResult;
import com.amazonaws.services.elasticmapreduce.model.ScriptBootstrapActionConfig;
import com.amazonaws.services.elasticmapreduce.model.StepConfig;
import com.amazonaws.services.elasticmapreduce.util.StepFactory;

/**
 * 
 * @author amar
 * 
 */
public class RunEMRJobFlow {

    private static final String CONFIG_HADOOP_BOOTSTRAP_ACTION = "s3://elasticmapreduce/bootstrap-actions/configure-hadoop";

    public static void main(String[] args) {

        String accessKey = "";
        String secretKey = "";
        AWSCredentials credentials = new BasicAWSCredentials(accessKey, secretKey);
        AmazonElasticMapReduceClient emr = new AmazonElasticMapReduceClient(credentials);

        StepFactory stepFactory = new StepFactory();

        StepConfig enabledebugging = new StepConfig().withName("Enable debugging")
                .withActionOnFailure("TERMINATE_JOB_FLOW").withHadoopJarStep(stepFactory.newEnableDebuggingStep());

        StepConfig installHive = new StepConfig().withName("Install Hive").withActionOnFailure("TERMINATE_JOB_FLOW")
                .withHadoopJarStep(stepFactory.newInstallHiveStep());
        List<String> setMappersArgs = new ArrayList<String>();
        setMappersArgs.add("-s");
        setMappersArgs.add("textinputformat.record.delimiter=;");

        BootstrapActionConfig mappersBootstrapConfig = createBootstrapAction("Set Hadoop Config",
                CONFIG_HADOOP_BOOTSTRAP_ACTION, setMappersArgs);

        RunJobFlowRequest request = new RunJobFlowRequest()
                .withBootstrapActions(mappersBootstrapConfig)
                .withName("Hive Interactive")
                .withSteps(enabledebugging, installHive)
                .withLogUri("s3://myawsbucket/")
                .withInstances(
                        new JobFlowInstancesConfig().withEc2KeyName("keypair").withHadoopVersion("0.20")
                                .withInstanceCount(5).withKeepJobFlowAliveWhenNoSteps(true)
                                .withMasterInstanceType("m1.small").withSlaveInstanceType("m1.small"));

        RunJobFlowResult result = emr.runJobFlow(request);
    }

    private static BootstrapActionConfig createBootstrapAction(String bootstrapName, String bootstrapPath,
            List<String> args) {

        ScriptBootstrapActionConfig bootstrapScriptConfig = new ScriptBootstrapActionConfig();
        bootstrapScriptConfig.setPath(bootstrapPath);

        if (args != null) {
            bootstrapScriptConfig.setArgs(args);
        }

        BootstrapActionConfig bootstrapConfig = new BootstrapActionConfig();
        bootstrapConfig.setName(bootstrapName);
        bootstrapConfig.setScriptBootstrapAction(bootstrapScriptConfig);

        return bootstrapConfig;
    }

}