Example of converting spark rdd to dataframe and writing it into mysql

import java.sql.Timestamp
import org.apache.spark.sql.{SaveMode, SQLContext}
import org.apache.spark.{SparkContext, SparkConf}
object DataFrameSql {
 case class memberbase(data_date:Long,memberid:String,createtime:Timestamp,sp:Int)extends Serializable{
 override def toString: String="%d\t%s\t%s\t%d".format(data_date,memberid,createtime,sp)
 }
 def main(args:Array[String]): Unit = {
 val conf = new SparkConf()
 conf.setMaster("local[2]")
// ----------------------
 //Parameter spark.sql.autoBroadcastJoinThreshold sets whether a table should be broadcast, the default is 10M, set to -1 to disable //spark.sql.codegen whether to precompile sql into java bytecode, long or frequent sql has optimization effect // spark.sql.inMemoryColumnarStorage.batchSize the number of rows processed at a time, be careful of oom
 //spark.sql.inMemoryColumnarStorage.compressed sets whether the column storage in memory needs to be compressed// ----------------------
 conf.set("spark.sql.shuffle.partitions","20") //The default partition is 200 conf.setAppName("dataframe test")
 val sc = new SparkContext(conf)
 val sqc = new SQLContext(sc)
 val ac = sc.accumulator(0,"fail nums")
 val file = sc.textFile("src\\main\\resources\\000000_0")
 val log = file.map(lines => lines.split(" ")).filter(line =>
  if (line.length != 4) { //Do a simple filter ac.add(1)
  false
  } else true)
  .map(line => memberbase(line(0).toLong, line(1),Timestamp.valueOf(line(2)), line(3).toInt))
 // Method 1: Use implicit conversion import sqc.implicits._
 val dftemp = log.toDF() // conversion/*
  Method 2: Use the createDataFrame method to obtain fields and their types using reflection internally val dftemp = sqc.createDataFrame(log)
  */
 val df = dftemp.registerTempTable("memberbaseinfo")
 /*val sqlcommand = "select date_format(createtime,'yyyy-MM')as mm,count(1) as nums " +
  "from memberbaseinfo group by date_format(createtime,'yyyy-MM')" +
  "order by nums desc,mm asc "*/
 val sqlcommand="select * from memberbaseinfo"
 val sel = sqc.sql(sqlcommand)
 val prop = new java.util.Properties
 prop.setProperty("user","etl")
 prop.setProperty("password","xxx")
 //Call DataFrameWriter to write data to mysql
 val dataResult = sqc.sql(sqlcommand).write.mode(SaveMode.Append).jdbc("jdbc:mysql://localhost:3306/test","t_spark_dataframe_test",prop) // The table may not exist println(ac.name.get+" "+ac.value)
 sc.stop()
 }
}

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