pk老师您好，调用2次foreach方法，分别保存offsets和统计结果表到redis时，第1次foreach并没有将结果保存的到redis中，编译和运行时都不报错。是不是方法用的方式不正确？还是foreach不支持同时保存2张表的操作，必须用foreachbatch来实现？
代码如下：

object SSSOffsetsApp {

def main(args: Array[String]): Unit = {
Logger.getLogger(this.getClass.getSimpleName).setLevel(Level.ERROR)
val spark = SparkSession.builder()
.master(“local[4]”)
.appName(this.getClass.getName)
.config(“spark.sql.shuffle.partitions”,“10”)
.getOrCreate()

	val topic = "access-topic-prod"
val groupid = ""
val startingOffsets: String = RedisUtils.getJsonOffsets(topic, groupid)


import spark.implicits._
val frame: DataFrame = spark.readStream
  .format("kafka")
  .option("kafka.bootstrap.servers", "MacBookAir.local:9092,MacBookAir.local:9093,MacBookAir.local:9094")
  .option("subscribe", "access-topic-prod")
  .option("startingOffsets", startingOffsets)
  .load()
  
  storeOffsets(frame, spark)
  save2DB(frame, spark)

}

/**

• 保存offsets
• @param dataFrame
• @param spark
  */
  def storeOffsets(dataFrame:DataFrame,spark:SparkSession){
  import spark.implicits._
  dataFrame.selectExpr(“topic”,“partition”,“offset”)//注释掉该行,获取包含offset的全部信息,根据已有offset，合理设置startingOffsets中的值。
  .as[(String,Int,Long)]
  .map(x => {
  val topic = x._1
  val partition = x._2
  val offset = x._3
  //topic,partition,offset
  (topic,partition,offset)
  })
  .toDF(“topic”,“partition”,“offset”)
  .writeStream
  /*输出到redis/
  .outputMode(OutputMode.Update())
  .foreach(new RedisOffsetsForeachWriter())
  .start()
  .awaitTermination()

}

/**

• 保存统计结果
• @param dataFrame
• @param spark
  */
  def save2DB(dataFrame:DataFrame,spark:SparkSession){
  import spark.implicits._
  dataFrame.selectExpr(“cast (value as String)”)
  .as[String]
  .map(x => {
  val splits = x.split("\t")
  val time = splits(0)
  val ip = splits(2)
  //eventTime,日期,省份
  (DateUtils.parseToTimestamp(time),DateUtils.parseToDay(time),IPUtils.parseIP(ip))
  })
  .toDF(“ts”,“day”,“province”)
  .withWatermark(“ts” ,“10 minutes”)
  .groupBy(“day”,“province”)
  .count()
  .writeStream
  /*输出到redis/
  .outputMode(OutputMode.Update())
  .foreach(new RedisDBForeachWriter())
  .start()
  .awaitTermination()
  }
  }

class RedisOffsetsForeachWriter extends ForeachWriter[Row] {
var client:Jedis = _
override def open(partitionId: Long, epochId: Long): Boolean = {
println(s"打开connection:$partitionId,$epochId")
client = RedisUtils.getJedisClient()
client != null
}
override def process(value: Row): Unit = {
//从Row中获取offsets,然后保存到redis中
val topic = value.getAsString
val partition = value.getAsInt
val offset = value.getAsLong
client.hset(topic,partition+"",offset+"")
println(s"topic:$topic,partition:$partition,offset:$offset")
}
override def close(errorOrNull: Throwable): Unit = {
if(null != client){
RedisUtils.returnResource(client)
}
}
}

class RedisDBForeachWriter extends ForeachWriter[Row] {
var client:Jedis = _
override def open(partitionId: Long, epochId: Long): Boolean = {
client = RedisUtils.getJedisClient()
client != null
}
override def process(value: Row): Unit = {
val day = value.getString(0)
val province = value.getString(1)
val cnts = value.getLong(2)
client.hset(“day-province-cnts-”+day, province,cnts+"")
println(s"day:$day,province:$province,cnts:$cnts")
}
override def close(errorOrNull: Throwable): Unit = {
if(null != client){
RedisUtils.returnResource(client)
}
}
}