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Version: 1.2.0

JAVA SDK Manual

Linkis provides a convenient interface for calling JAVA and SCALA. It can be used only by introducing the linkis-computation-client module. After 1.0, the method of submitting with Label is added. The following will introduce both ways that compatible with 0.X and newly added in 1.0.

1. Introduce dependent modules#

<dependency>   <groupId>org.apache.linkis</groupId>   <artifactId>linkis-computation-client</artifactId>   <version>${linkis.version}</version></dependency>Such as:<dependency>   <groupId>org.apache.linkis</groupId>   <artifactId>linkis-computation-client</artifactId>   <version>1.0.3</version></dependency>

2. Java test code#

Create the Java test class LinkisClientTest. Refer to the comments to understand the purposes of those interfaces:

package org.apache.linkis.client.test;
import org.apache.linkis.common.utils.Utils;import org.apache.linkis.httpclient.dws.authentication.StaticAuthenticationStrategy;import org.apache.linkis.httpclient.dws.config.DWSClientConfig;import org.apache.linkis.httpclient.dws.config.DWSClientConfigBuilder;import org.apache.linkis.manager.label.constant.LabelKeyConstant;import org.apache.linkis.protocol.constants.TaskConstant;import org.apache.linkis.ujes.client.UJESClient;import org.apache.linkis.ujes.client.UJESClientImpl;import org.apache.linkis.ujes.client.request.JobSubmitAction;import org.apache.linkis.ujes.client.request.JobExecuteAction;import org.apache.linkis.ujes.client.request.ResultSetAction;import org.apache.linkis.ujes.client.response.*;import org.apache.commons.io.IOUtils;
import java.util.HashMap;import java.util.Map;import java.util.concurrent.TimeUnit;
public class LinkisClientTest {
    // 1. build config: linkis gateway url    private static DWSClientConfig clientConfig = ((DWSClientConfigBuilder) (DWSClientConfigBuilder.newBuilder()            .addServerUrl("http://127.0.0.1:9001/")   //set linkis-mg-gateway url: http://{ip}:{port}            .connectionTimeout(30000)   //connectionTimeOut            .discoveryEnabled(false) //disable discovery            .discoveryFrequency(1, TimeUnit.MINUTES)  // discovery frequency            .loadbalancerEnabled(true)  // enable loadbalance            .maxConnectionSize(5)   // set max Connection            .retryEnabled(true) // set retry            .readTimeout(30000)  //set read timeout            .setAuthenticationStrategy(new StaticAuthenticationStrategy())   //AuthenticationStrategy Linkis authen suppory static and Token            .setAuthTokenKey("hadoop")  // set submit user            .setAuthTokenValue("hadoop")))  // set passwd or token (setAuthTokenValue("test"))            .setDWSVersion("v1") //linkis rest version v1            .build();
    // 2. new Client(Linkis Client) by clientConfig    private static UJESClient client = new UJESClientImpl(clientConfig);
    public static void main(String[] args) {
        String user = "hadoop"; // execute user        String executeCode = "df=spark.sql(\"show tables\")\n" +                "show(df)"; // code support:sql/hql/py/scala        try {
            System.out.println("user : " + user + ", code : [" + executeCode + "]");            // 3. build job and execute            JobExecuteResult jobExecuteResult = toSubmit(user, executeCode);            System.out.println("execId: " + jobExecuteResult.getExecID() + ", taskId: " + jobExecuteResult.taskID());            // 4. get job jonfo            JobInfoResult jobInfoResult = client.getJobInfo(jobExecuteResult);            int sleepTimeMills = 1000;            int logFromLen = 0;            int logSize = 100;            while (!jobInfoResult.isCompleted()) {                // 5. get progress and log                JobProgressResult progress = client.progress(jobExecuteResult);                System.out.println("progress: " + progress.getProgress());                JobLogResult logRes = client.log(jobExecuteResult, logFromLen, logSize);                logFromLen = logRes.fromLine();                // 0: info 1: warn 2: error 3: all                System.out.println(logRes.log().get(3));                Utils.sleepQuietly(sleepTimeMills);                jobInfoResult = client.getJobInfo(jobExecuteResult);            }
            JobInfoResult jobInfo = client.getJobInfo(jobExecuteResult);            // 6. Get the result set list (if the user submits multiple SQLs at a time,            // multiple result sets will be generated)            String resultSet = jobInfo.getResultSetList(client)[0];            // 7. get resultContent            ResultSetResult resultSetResult = client.resultSet(ResultSetAction.builder().setPath(resultSet).setUser(jobExecuteResult.getUser()).build());            System.out.println("metadata: " + resultSetResult.getMetadata()); // column name type            System.out.println("res: " + resultSetResult.getFileContent()); //row data        } catch (Exception e) {            e.printStackTrace();// please use log            IOUtils.closeQuietly(client);        }        IOUtils.closeQuietly(client);    }
       private static JobExecuteResult toSubmit(String user, String code) {        // 1. build  params        // set label map :EngineTypeLabel/UserCreatorLabel/EngineRunTypeLabel/Tenant        Map<String, Object> labels = new HashMap<String, Object>();        labels.put(LabelKeyConstant.ENGINE_TYPE_KEY, "spark-2.4.3"); // required engineType Label        labels.put(LabelKeyConstant.USER_CREATOR_TYPE_KEY, user + "-APPName");// required execute user and creator eg:hadoop-IDE        labels.put(LabelKeyConstant.CODE_TYPE_KEY, "py"); // required codeType        // set start up map :engineConn start params        Map<String, Object> startupMap = new HashMap<String, Object>(16);        // Support setting engine native parameters,For example: parameters of engines such as spark/hive        startupMap.put("spark.executor.instances", 2);        // setting linkis params        startupMap.put("wds.linkis.rm.yarnqueue", "dws");
        // 2. build jobSubmitAction        JobSubmitAction jobSubmitAction = JobSubmitAction.builder()                .addExecuteCode(code)                .setStartupParams(startupMap)                .setUser(user) //submit user                .addExecuteUser(user)  // execute user                .setLabels(labels)                .build();        // 3. to execute        return client.submit(jobSubmitAction);    }}

Run the above code to interact with Linkis

3. Scala test code#

Create the Scala test class LinkisClientTest. Refer to the comments to understand the purposes of those interfaces:

package org.apache.linkis.client.test
import org.apache.commons.io.IOUtilsimport org.apache.commons.lang3.StringUtilsimport org.apache.linkis.common.utils.Utilsimport org.apache.linkis.httpclient.dws.authentication.StaticAuthenticationStrategyimport org.apache.linkis.httpclient.dws.config.DWSClientConfigBuilderimport org.apache.linkis.manager.label.constant.LabelKeyConstantimport org.apache.linkis.ujes.client.request._import org.apache.linkis.ujes.client.response._
import java.utilimport java.util.concurrent.TimeUnit
object LinkisClientTest {  // 1. build config: linkis gateway url  val clientConfig = DWSClientConfigBuilder.newBuilder()    .addServerUrl("http://127.0.0.1:9001/") //set linkis-mg-gateway url: http://{ip}:{port}    .connectionTimeout(30000) //connectionTimeOut    .discoveryEnabled(false) //disable discovery    .discoveryFrequency(1, TimeUnit.MINUTES) // discovery frequency    .loadbalancerEnabled(true) // enable loadbalance    .maxConnectionSize(5) // set max Connection    .retryEnabled(false) // set retry    .readTimeout(30000) //set read timeout    .setAuthenticationStrategy(new StaticAuthenticationStrategy()) //AuthenticationStrategy Linkis authen suppory static and Token    .setAuthTokenKey("hadoop") // set submit user    .setAuthTokenValue("hadoop") // set passwd or token (setAuthTokenValue("BML-AUTH"))    .setDWSVersion("v1") //linkis rest version v1    .build();
  // 2. new Client(Linkis Client) by clientConfig  val client = UJESClient(clientConfig)
  def main(args: Array[String]): Unit = {    val user = "hadoop" // execute user 用户需要和AuthTokenKey的值保持一致    val executeCode = "df=spark.sql(\"show tables\")\n" +      "show(df)"; // code support:sql/hql/py/scala    try {      // 3. build job and execute      println("user : " + user + ", code : [" + executeCode + "]")      // 推荐使用submit,支持传递任务label      val jobExecuteResult = toSubmit(user, executeCode)      println("execId: " + jobExecuteResult.getExecID + ", taskId: " + jobExecuteResult.taskID)      // 4. get job jonfo      var jobInfoResult = client.getJobInfo(jobExecuteResult)      var logFromLen = 0      val logSize = 100      val sleepTimeMills: Int = 1000      while (!jobInfoResult.isCompleted) {        // 5. get progress and log        val progress = client.progress(jobExecuteResult)        println("progress: " + progress.getProgress)        val logObj = client.log(jobExecuteResult, logFromLen, logSize)        logFromLen = logObj.fromLine        val logArray = logObj.getLog        // 0: info 1: warn 2: error 3: all        if (logArray != null && logArray.size >= 4 && StringUtils.isNotEmpty(logArray.get(3))) {          println(s"log: ${logArray.get(3)}")        }        Utils.sleepQuietly(sleepTimeMills)        jobInfoResult = client.getJobInfo(jobExecuteResult)      }      if (!jobInfoResult.isSucceed) {        println("Failed to execute job: " + jobInfoResult.getMessage)        throw new Exception(jobInfoResult.getMessage)      }
      // 6. Get the result set list (if the user submits multiple SQLs at a time,      // multiple result sets will be generated)      val jobInfo = client.getJobInfo(jobExecuteResult)      val resultSetList = jobInfoResult.getResultSetList(client)      println("All result set list:")      resultSetList.foreach(println)      val oneResultSet = jobInfo.getResultSetList(client).head      // 7. get resultContent      val resultSetResult: ResultSetResult = client.resultSet(ResultSetAction.builder.setPath(oneResultSet).setUser(jobExecuteResult.getUser).build)      println("metadata: " + resultSetResult.getMetadata) // column name type      println("res: " + resultSetResult.getFileContent) //row data    } catch {      case e: Exception => {        e.printStackTrace() //please use log      }    }    IOUtils.closeQuietly(client)  }

  def toSubmit(user: String, code: String): JobExecuteResult = {    // 1. build  params    // set label map :EngineTypeLabel/UserCreatorLabel/EngineRunTypeLabel/Tenant    val labels: util.Map[String, Any] = new util.HashMap[String, Any]    labels.put(LabelKeyConstant.ENGINE_TYPE_KEY, "spark-2.4.3"); // required engineType Label    labels.put(LabelKeyConstant.USER_CREATOR_TYPE_KEY, user + "-APPName"); // 请求的用户和应用名,两个参数都不能少,其中APPName不能带有"-"建议替换为"_"    labels.put(LabelKeyConstant.CODE_TYPE_KEY, "py"); // 指定脚本类型
    val startupMap = new java.util.HashMap[String, Any]()    // Support setting engine native parameters,For example: parameters of engines such as spark/hive    startupMap.put("spark.executor.instances", 2);    // setting linkis params    startupMap.put("wds.linkis.rm.yarnqueue", "default");    // 2. build jobSubmitAction    val jobSubmitAction = JobSubmitAction.builder      .addExecuteCode(code)      .setStartupParams(startupMap)      .setUser(user) //submit user      .addExecuteUser(user) //execute user      .setLabels(labels)      .build    // 3. to execute    client.submit(jobSubmitAction)  }}