Help Center/ MapReduce Service/ Developer Guide (Normal_3.x)/ Spark2x Development Guide (Normal Mode)/ Developing the Project/ Using Spark to Perform Basic Hudi Operations/ Overview
Updated on 2022-09-14 GMT+08:00
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Overview

Scenarios

This section describes how to use Spark to perform operations such as data insertion, query, update, incremental query, query at a specific time point, and data deletion on Hudi.

For details, see the sample code.

Packaging the Project

  1. Use the Maven tool provided by IDEA to package the project and generate the JAR file. For details, see Compiling and Running the Application.

    The Python sample code does not need to be packaged using Maven.

  2. Upload the generated JAR file to any directory (for example, /opt/example/) on the server where the Spark client is located.

Running Tasks

After compiling and building the sample code, you can use the spark-submit command to perform the write, update, query, and delete operations in sequence.

  • Run the Java sample program.

    spark-submit --class com.huawei.bigdata.hudi.examples.HoodieWriteClientExample /opt/example/hudi-java-examples-1.0.jar hdfs://hacluster/tmp/example/hoodie_java hoodie_java

    /opt/example/hudi-java-examples-1.0.jar indicates the JAR file path, hdfs://hacluster/tmp/example/hoodie_java indicates the storage path of the Hudi table, and hoodie_java indicates the name of the Hudi table.

  • Run the Scala sample program.

    spark-submit --class com.huawei.bigdata.hudi.examples.HoodieDataSourceExample /opt/example/hudi-scala-examples-1.0.jar hdfs://hacluster/tmp/example/hoodie_scala hoodie_scala

    /opt/example/hudi-scala-examples-1.0.jar indicates the JAR file path, hdfs://hacluster/tmp/example/hoodie_scala indicates the storage path of the Hudi table, and hoodie_Scala indicates the name of the Hudi table.

  • Run the Python sample program.

    spark-submit /opt/example/HudiPythonExample.py hdfs://hacluster/tmp/huditest/example/python hudi_trips_cow

    hdfs://hacluster/tmp/huditest/example/python indicates the storage path of the Hudi table, and hudi_trips_cow indicates the name of the Hudi table.