spark通过官方jdbc写入数据到clickhouse

因为之前测试spark 2.4.0以上版本无法通过native jdbc接口写入clickhouse(之前的文章)，尝试了下官方的jdbc接口。

背景

• clickhouse两个分片，无副本
• 读取hive分区，不同分区数据交替写入两个分片

实现

import java.util.Random

import org.apache.spark.SparkConf
import org.apache.spark.sql.types.{
   
   DoubleType, LongType, StringType}
import org.apache.spark.sql.{
   
   SaveMode, SparkSession}
import ru.yandex.clickhouse.ClickHouseDataSource

object OfficialJDBCDriver {
   
   

  val chDriver = "ru.yandex.clickhouse.ClickHouseDriver"
  val chUrls = Array(
    "jdbc:clickhouse://1.1.1.1:8123/default",
    "jdbc:clickhouse://2.2.2.2:8123/default")

  def main(args: Array[String]): Unit = {
   
   
    if (args.length < 3) {
   
   
      System.err.println("Usage: OfficialJDBCDriver <tableName> <partitions> <batchSize>\n" +
        "  <tableName> is the hive table name \n" +
        "  <partitions> is the partitions which want insert into clickhouse, like 20200516,20200517\n" +
        "  <batchSize> is JDBC batch size, may be 1000\n\n"