HDP Sandbox IOException在DataFrame上调用saveAsTable

Question

我试图运行下面的示例尝试从Spark DataFrame创建Hive表。当我用master = local调用spark-submit时，代码工作，但是当我用master = yarn调用它时会引发异常。这是调用：spark-submit --class test.sandbox.HDPRiskFactor --master yarn --name“Risk Factor”./hdprisk-0.0.1-SNAPSHOT.jar此外，我从Hive控制台创建了一个名为“default”的表.geolocation“但是当我调用show（）时，我无法从火花中看到它。我试图将Yarn模式中的执行程序计数设置为0，这也不起作用。 1）为什么代码使用master本地但使用yarn 2）为什么我无法从spark代码中看到在hive中创建的表。

 def main(args: Array[String]): Unit = {

val spark = SparkSession.builder().getOrCreate()
//    val spark = SparkSession.builder().master("local[*]").getOrCreate()
val sc = spark.sparkContext
val hadoopconf = new Configuration()
val hdfs = FileSystem.get(hadoopconf)
val csvDataDir = "/tmp/data"
//import spark.implicits._
val dataList = List(("geolocation", "csv"), ("trucks", "csv"))
listFiles(this.getClass.getClassLoader.getResource(".").getFile)
dataList.map(path => {
  val localFile = path._1 + "." + path._2
  val hdfsFile = csvDataDir + "/" + path._1 + "." + path._2
  if (!testDirExist(hdfs, hdfsFile)) copyStreamToHdfs(hdfs, "/root/", csvDataDir, localFile)
})
val geoLocationDF = spark.read.format("csv").option("header", "true").load("hdfs:///tmp/data/geolocation.csv")

// Now that we have the data loaded into a DataFrame, we can register a temporary view.
spark.sql("SHOW TABLES").show()
geoLocationDF.write.format("orc").saveAsTable("default.geolocation")
//      geoLocationDF.createOrReplaceTempView("geolocation")

spark.sql("select * from default.geolocation").show()

}

Answer 1

我没有正确配置hive上下文。所以它将文件写入根目录。解决方案是通过正确的配置参数：

val spark = SparkSession.builder()
  .config("spark.sql.warehouse.dir", "/user/hive/warehouse")
  .config("spark.sql.sources.maxConcurrentWrites","1")
  .config("spark.sql.parquet.compression.codec", "snappy")
  .config("hive.exec.dynamic.partition", "true")
  .config("hive.exec.dynamic.partition.mode", "nonstrict")
  .config("parquet.compression", "SNAPPY")
  .config("hive.exec.max.dynamic.partitions", "3000")
  .config("parquet.enable.dictionary", "false")
  .config("hive.support.concurrency", "true")
  .enableHiveSupport()
  .getOrCreate()