’我们大数据集群spark版本为2.3,然后执行hudi的代码报错:
Exception in thread "main" java.lang.NoSuchMethodError: 
org.apache.avro.Schema.createUnion([Lorg/apache/avro/Schema;)Lorg/apache/avro/Schema;


代码完整为:
  def main(args: Array[String]): Unit = {
    System.setProperty("HADOOP_USER_NAME", "spark")
    val spark = SparkSession.builder.appName("Demo")
      .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
      .master("local[3]")
      .getOrCreate()
        insert(spark)
//    update(spark)
//    query(spark)
    //    incremen¬talQueryPermalink(spark)

    spark.stop()
  }

def insert(spark: SparkSession): Unit = {
  val tableName = "hudi_archive_test"
  val pathRoot = "/Users/tangxiuhong"
  val basePath = pathRoot + "/deltalake/hudi/"
  val inserts = List(
    """{"id" : 1,  "name": "iteblog", "age" : 101, "ts" : 1, "dt" : 
"20191212"}""",
    """{"id" : 2, "name": "iteblog_hadoop", "age" : 102, "ts" : 1, "dt" : 
"20191213"}""",
    """{"id" : 3, "name": "hudi", "age" : 103, "ts" : 2, "dt" : "20191212"}""")

  //    val inserts = List(
  //      """{"id" : 4,  "name": "iteblog", "age" : 102, "ts" : 2, "dt" : 
"20191212","addr" : "云南"}""",
  //      """{"id" : 5, "name": "iteblog_hadoop", "age" : 103, "ts" : 2, "dt" : 
"20191213","addr" : "浙江"}""",
  //      """{"id" : 6,  "name": "hudi", "age" : 104, "ts" : 2, "dt" : 
"20191212","addr" : "云南"}""")
  val df = spark.read.json(spark.sparkContext.parallelize(inserts, 2))
  df.show(10)
  df.write.format("org.apache.hudi")
    // 设置主键列名
    .option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY, "ts")
    // 设置数据更新时间的列名
    .option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, "id")
    // 设置多级分区必须设置为org.apache.hudi.keygen.ComplexKeyGenerator
    .option(DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY, 
"org.apache.hudi.keygen.ComplexKeyGenerator")
    // 设置多级分区列
    .option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY, "dt,ts")
    // 设置索引类型目前有HBASE,INMEMORY,BLOOM,GLOBAL_BLOOM 四种索引 
为了保证分区变更后能找到必须设置全局GLOBAL_BLOOM
    .option(HoodieIndexConfig.BLOOM_INDEX_UPDATE_PARTITION_PATH, "true")
    // 设置索引类型目前有HBASE,INMEMORY,BLOOM,GLOBAL_BLOOM 四种索引
    .option(HoodieIndexConfig.INDEX_TYPE_PROP, 
HoodieIndex.IndexType.GLOBAL_BLOOM.name())
    // 并行度参数设置
    .option("hoodie.insert.shuffle.parallelism", "2")
    .option("hoodie.upsert.shuffle.parallelism", "2")
    // 表名称设置
    .option(HoodieWriteConfig.TABLE_NAME, tableName)
    .mode(SaveMode.Append)
    .save(basePath)
}

报错截图:
我应该怎么处理这个问题呢?





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