Apache Iceberg 使用 Spark 无法在表中写入数据

问题描述

我是 Apache Iceberg 的新手。我想使用 Apache Iceberg 执行读写操作。我使用的是 Spark 3.0.0。

    System.setProperty("hadoop.home.dir","C:\\hadoop" )
    val conf = new SparkConf()
    conf.set("spark.sql.extensions","org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions")
    conf.set("spark.sql.catalog.spark_catalog","org.apache.iceberg.spark.SparkSessionCatalog")
    conf.set("spark.sql.catalog.spark_catalog.type","hive")
    conf.set("spark.sql.catalog.local","org.apache.iceberg.spark.SparkCatalog")
    conf.set("spark.sql.catalog.local.type","hadoop")
    conf.set("spark.sql.catalog.local.warehouse","warehouse")

    val spark = SparkSession.builder().master("local").config(conf).getorCreate()
    
    spark.sql("CREATE TABLE local.db.table (id bigint,data string) USING iceberg")
    spark.sql("INSERT INTO local.db.table VALUES (1,'a'),(2,'b'),(3,'c')")

依赖列表：

    compile group: 'org.scala-lang',name: 'scala-library',version: '2.12.0'

    compile group: 'org.apache.spark',name: 'spark-core_2.12',version: '3.0.0'
    compile group: 'org.apache.spark',name: 'spark-sql_2.12',version: '3.0.0'

    compile group: 'org.apache.iceberg',name: 'iceberg-spark',version: '0.11.1'
    compile group: 'org.apache.iceberg',name: 'iceberg-spark3-runtime',version: '0.11.1'

    compile group:  'org.apache.hive',name: 'hive-metastore',version: '2.0.1'

异常信息：

java.lang.classCastException: org.apache.iceberg.shaded.org.apache.parquet.schema.MessageType cannot be cast to org.apache.parquet.schema.MessageType
    at org.apache.iceberg.parquet.ParquetWriter.<init>(ParquetWriter.java:96)
    at org.apache.iceberg.parquet.Parquet$WriteBuilder.build(Parquet.java:250)
    at org.apache.iceberg.spark.source.SparkAppenderFactory.newAppender(SparkAppenderFactory.java:110)

我是否需要任何其他依赖项来启用 MessageType 转换。

解决方法

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apache-spark apache-spark-sql iceberg