如何通过一个键加入两个 RDD？ [复制]答案

【问题标题】：How to join two RDDs by a key? [duplicate]如何通过一个键加入两个 RDD？ [复制]
【发布时间】：2026-01-30 22:40:01
【问题描述】：

animals_population_file = sc.textFile("input/myFile1.txt")
animals_place_file = sc.textFile("input/myFile2.txt")

animals_population_file：

Dogs, 5
Cats, 6

animals_place_file：

Dogs, Italy
Cats, Italy
Dogs, Spain

现在我想加入animals_population_file 和animals_place_file，使用动物类型作为键。结果应该是这个：

Dogs, [Italy, Spain, 5]
Cats, [Italy, 6]

我试过joined = animals_population_file.join(animals_place_file)，但我不知道如何定义密钥。另外，当我运行joined.collect() 时，它给了我一个错误：

    298                 raise Py4JJavaError(
    299                     'An error occurred while calling {0}{1}{2}.\n'.
--> 300                     format(target_id, '.', name), value)
    301             else:
    302                 raise Py4JError(

Py4JJavaError: An error occurred while calling o247.collect.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 21.0 failed 1 times, most recent failure: Lost task 0.0 in stage 21.0 (TID 29, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/usr/lib/spark/python/pyspark/worker.py", line 101, in main
    process()
  File "/usr/lib/spark/python/pyspark/worker.py", line 96, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/usr/lib/spark/python/pyspark/serializers.py", line 236, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/usr/lib/spark/python/pyspark/rdd.py", line 1807, in <lambda>
    map_values_fn = lambda (k, v): (k, f(v))
ValueError: too many values to unpack

【问题讨论】：

@zero323：我尝试了上述线程中提供的解决方案。但是，我的问题是我不知道如何在此代码 df1.join(df2, df1.k == df2.k, joinType='inner') 中指向密钥。另外，如果我只是执行 df1.join(df2)，那么 collect() 会出错。指出的线程中没有解释。
您上面显示的是文件的确切内容？
@zero323：确切内容：RDD1 = [u'Surreal_Games', u'269', u'Hourly_Games', u'428', u'Hot_Talking', u'747', u'Almost_Sports ', u'350'] 和另一个 RDD2 = [ u'Loud_Games', u'BAT', u'Cold_Talking', u'DEF', u'Surreal_Sports', u'XYZ', u'Hourly_Sports', u'CAB ', u'Hot_Talking', u'MAN', u'Almost_Cooking', u'BAT']
没有内部元组或列表？喜欢[(u'Surreal_Games', u'269'), ...]。
@zero323：是的，我输入的是来自 RDD1.collect() 和 RDD2.collect() 的精确复制粘贴

标签： python hadoop apache-spark pyspark

【解决方案1】：

运行 textFile 时没有 PairRdd（基于评论中的 rdds 内容）。但是，要进行连接，您需要 PairRDD。所以把你的输入变成pairRDDs

val rdd1 = sc.textFile("input/myFile1.txt")
val rdd2 = sc.textFile("input/myFile2.txt")

val data1 = rdd1.map(line => line.split(",").map(elem => elem.trim))
val data2 = rdd2.map(line => line.split(",").map(elem => elem.trim))

val pairRdd1 = data1.map(r => (r(0), r))  /** zero index is the animal type which is the key in file 1*/
val pairRdd2 = data2.map(r => (r(0), r))  /** zero index is the animal type which is the key in file 2 as well */

val joined = pairRdd1.join(pairRdd2)

val local = joined.collect()
local.foreach{case (k, v) => {
  print(k + " : ")
  println(v._1.mkString("|") + "|" + v._2.mkString("|"))
}}

【讨论】：