Version: 1.3.2

Linkis SDK Manual

Linkis provides a convenient interface for JAVA and SCALA calls. You only need to import the linkis-computation-client module to use it. After 1.0, it supports the method of submitting with Label. The following will introduce the way to use the SDK.

Engine version and script type supported by Linkis

Engine plugin	Default supported versions	Script type	Type Description
Spark	2.4.3	py	python script
		scala	scala script
		sql	sql script
Hive	2.3.3	hql	hql script
Python	python2	python	python script
Shell	1	shell	shell script
JDBC	4	jdbc	sql script name
Flink	1.12.2	sql	sql script
openLooKeng	1.5.0	sql	sql script
Pipeline	1	pipeline	File import and export
Presto	0.234	psql	sql script
Sqoop	1.4.6	appconn	File import and export
Elasticsearch	7.6.2	esjson	json script
Elasticsearch	7.6.2	essql	sql script
trino	371	tsql	sql script

Linkis common label

label key	label value	description
engineType	spark-2.4.3	the engine type and version
userCreator	user + "-AppName"	the running user and your AppName
codeType	sql	script type
jobRunningTimeout	10	If the job does not finish for 10s, it will automatically initiate Kill. The unit is s
jobQueuingTimeout	10	If the job queue exceeds 10s and fails to complete, Kill will be automatically initiated. The unit is s
jobRetryTimeout	10000	The waiting time for a job to fail due to resources or other reasons is ms. If a job fails due to insufficient queue resources, the retry is initiated 10 times by default
tenant	hduser02	tenant label

1. Import dependent modules

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

2. Java test code

Create a Java test class LinkisClientTest, the specific interface meaning can be found in the notes:

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(false) // set retry
            .readTimeout(30000)  //set read timeout
            .setAuthenticationStrategy(new StaticAuthenticationStrategy())   //AuthenticationStrategy Linkis authen suppory static and Token
            .setAuthTokenKey("hadoop")  // set submit user
            .setAuthTokenValue("123456")))  // 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) {
        // The user needs to be consistent with the value of AuthTokenKey
        String user = "hadoop"; 
        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 info
            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 complete task submission/execution/log/result set acquisition, etc.

3. Scala test code

package org.apache.linkis.client.test

import org.apache.commons.io.IOUtils
import org.apache.commons.lang3.StringUtils
import org.apache.linkis.common.utils.Utils
import org.apache.linkis.httpclient.dws.authentication.StaticAuthenticationStrategy
import org.apache.linkis.httpclient.dws.config.DWSClientConfigBuilder
import org.apache.linkis.manager.label.constant.LabelKeyConstant
import org.apache.linkis.ujes.client.request._
import org.apache.linkis.ujes.client.response._
import java.util
import java.util.concurrent.TimeUnit

import org.apache.linkis.ujes.client.UJESClient

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") //link 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 user needs to be consistent with the value of AuthTokenKey
        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 + "]")
        // It is recommended to use submit, which supports the transfer of task labels
        val jobExecuteResult = toSubmit(user, executeCode)
        println("execId: " + jobExecuteResult.getExecID + ", taskId: " + jobExecuteResult.taskID)
        // 4. get job info
        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, AnyRef] = new util.HashMap[String, AnyRef]
        labels.put(LabelKeyConstant.ENGINE_TYPE_KEY, "spark-2.4.3"); // required engineType Label
        labels.put(LabelKeyConstant.USER_CREATOR_TYPE_KEY, user + "-APPName"); // The requested user and application name, both parameters must be missing, where APPName cannot contain "-", it is recommended to replace it with "_"
        labels.put(LabelKeyConstant.CODE_TYPE_KEY, "py"); // specify the script type

        val startupMap = new java.util.HashMap[String, AnyRef]()
        // Support setting engine native parameters,For example: parameters of engines such as spark/hive
        val instances: Integer = 2
        startupMap.put("spark.executor.instances", instances)
        // 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)
        }
        }

1. Import dependent modules​

2. Java test code​

3. Scala test code​

1. Import dependent modules

2. Java test code

3. Scala test code