package com.imooc.bigdata.chapter06

import java.util.Properties

import org.apache.spark.sql.SparkSession


object HiveSourceApp {

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


    // 如果你想使用Spark来访问Hive的时候，一定需要开启Hive的支持
    val spark: SparkSession = SparkSession.builder().master("local").appName("HiveSourceApp")
      .enableHiveSupport() //切记：一定要开启
      .getOrCreate()


    // 走的就是连接 default数据库中的pk表，如果你是其他数据库的，那么也采用类似的写法即可
    spark.table("default.pk").show()


    spark.stop()

  }
}

报的是这个错误：
Exception in thread “main” org.apache.spark.sql.AnalysisException: java.lang.RuntimeException: java.lang.RuntimeException: The root scratch dir: /tmp/hive on HDFS should be writable. Current permissions are: rw-rw-rw-;
at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:106)
at org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:214)
at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:114)atorg.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:102)atorg.apache.spark.sql.internal.SharedState.globalTempViewManager$lzycompute(SharedState.scala:141)
at org.apache.spark.sql.internal.SharedState.globalTempViewManager(SharedState.scala:136)
at org.apache.spark.sql.hive.HiveSessionStateBuilderKaTeX parse error: $ within math modeanonfun$2.apply(HiveSessionStateBuilder.scala:55)
at

看老师视频上直接连上去了，就能输出PK表里面的数据，我这个报的超时错误，说HDFS上应该需要写权限，我就把HDFS中的tmp目录赋777的权限

然后还是连不上去，我就去百度搜了搜，把windows上的也改成777了，结果还是连不上去，请老师指导，老师辛苦