Help Center> Data Lake Insight> Developer Guide> Spark Jar Jobs> Using Spark Jobs to Access Data Sources of Datasource Connections> Connecting to OpenTSDB> Java Example Code
Updated on 2024-06-13 GMT+08:00
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Java Example Code

Development Description

This example applies only to MRS OpenTSDB.

  • Prerequisites

    A datasource connection has been created and bound to a queue on the DLI management console.

    Hard-coded or plaintext passwords pose significant security risks. To ensure security, encrypt your passwords, store them in configuration files or environment variables, and decrypt them when needed.

  • Code implementation
    1. Import dependencies.
      • Maven dependency involved 
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        <dependency>
  <groupId>org.apache.spark</groupId>
  <artifactId>spark-sql_2.11</artifactId>
  <version>2.3.2</version>
</dependency>
      • Import dependency packages. 
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        import org.apache.spark.sql.SparkSession;
    2. Create a session. 
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      sparkSession = SparkSession.builder().appName("datasource-opentsdb").getOrCreate();
  • Connecting to data sources through SQL APIs
    • Create a table to connect to an MRS OpenTSDB data source and set connection parameters. 
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      sparkSession.sql("create table opentsdb_new_test using opentsdb options('Host'='10.0.0.171:4242','metric'='ctopentsdb','tags'='city,location')");

      For details about the Host, metric, and tags parameters, see Table 1.

    • Insert data. 
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      sparkSession.sql("insert into opentsdb_new_test values('Penglai', 'abc', '2021-06-30 18:00:00', 30.0)");
    • Query data. 
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      sparkSession.sql("select * from opentsdb_new_test").show();

      Response

  • Submitting a Spark job
    1. Generate a JAR package based on the code file and upload the package to DLI.

    2. In the Spark job editor, select the corresponding dependency module and execute the Spark job.

      • If the Spark version is 2.3.2 (will be offline soon) or 2.4.5, specify the Module to sys.datasource.opentsdb when you submit a job.
      • If the Spark version is 3.1.1, you do not need to select a module. Configure Spark parameters (--conf).

        spark.driver.extraClassPath=/usr/share/extension/dli/spark-jar/datasource/opentsdb/*

        spark.executor.extraClassPath=/usr/share/extension/dli/spark-jar/datasource/opentsdb/*

      • For details about how to submit a job on the console, see the description of the Table 3 "Parameters for selecting dependency resources" in Creating a Spark Job.
      • For details about how to submit a job through an API, see the description of the modules parameter in Table 2 "Request parameters" in Creating a Batch Processing Job.

Complete Example Code

  • Maven dependency involved
    <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>2.3.2</version>
</dependency>
  • Connecting to data sources through SQL APIs 
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    import org.apache.spark.sql.SparkSession;
 
public class java_mrs_opentsdb {
 
    private static SparkSession sparkSession = null;
 
    public static void main(String[] args) {
        //create a SparkSession session
        sparkSession = SparkSession.builder().appName("datasource-opentsdb").getOrCreate();
 
        sparkSession.sql("create table opentsdb_new_test using opentsdb options('Host'='10.0.0.171:4242','metric'='ctopentsdb','tags'='city,location')");
 
        //*****************************SQL module***********************************
        sparkSession.sql("insert into opentsdb_new_test values('Penglai', 'abc', '2021-06-30 18:00:00', 30.0)");
        System.out.println("Penglai new timestamp");
        sparkSession.sql("select * from opentsdb_new_test").show();
 
       sparkSession.close();
 
    }
}
Parent topic: Connecting to OpenTSDB