spark 读取hive事务表

参考链接：
spark通过JDBC读取hive事务表
https://github.com/Gowthamsb12/BigData-Blogs/blob/master/Spark_ACID

import org.apache.spark.sql.jdbc.JdbcDialect
 
object HiveDialect extends JdbcDialect {
  override def canHandle(url : String): Boolean = url.startsWith("jdbc:hive2")
  override def quoteIdentifier(colName: String): String = {
    colName.split('.').map(part => s"`$part`").mkString(".")
  }
}

// Register the scala object 
import org.apache.spark.sql.jdbc.JdbcDialects
JdbcDialects.registerDialect(HiveDialect)

//测试
val jdbcDF = spark.read.format("jdbc").option("url", "jdbc:hive2://hdfs-test03.yingzi.com,hdfs-test04.yingzi.com,hdfs-test05.yingzi.com/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=hiveserver2").option("dbtable", "default.a11").option("user", "hive").option("password", "hive").option("fetchsize","20").load()

jdbcDF.count()