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Posted to issues@spark.apache.org by "zhangchenglong (Jira)" <ji...@apache.org> on 2020/09/07 06:04:00 UTC

[jira] [Created] (SPARK-32809) RDD分区数对于计算结果的影响

zhangchenglong created SPARK-32809:
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             Summary: RDD分区数对于计算结果的影响
                 Key: SPARK-32809
                 URL: https://issues.apache.org/jira/browse/SPARK-32809
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 2.2.0
            Reporter: zhangchenglong


class Exec3 {

private val exec: SparkConf = new SparkConf().setMaster("local[1]").setAppName("exec3")
 private val context = new SparkContext(exec)
 context.setCheckpointDir("checkPoint")
 
 /**
 * get total number by key 
 * in this project desired results are ("苹果",25) ("华为",20)
 * but in fact i get ("苹果",150) ("华为",20)
 *   when i change it to local[3] the result is correct
*  i want to know   which cause it and how to slove it 
 */
 @Test
 def testError(): Unit ={
 val rdd = context.parallelize(Seq(("苹果", 10), ("苹果", 15), ("华为", 20)))
 rdd.aggregateByKey(1.0)(
 seqOp = (zero, price) => price * zero,
 combOp = (curr, agg) => curr + agg
 ).collect().foreach(println(_))
 context.stop()
 }
 }



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