Github user JoshRosen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/1977#discussion_r28027829
  
    --- Diff: python/pyspark/shuffle.py ---
    @@ -529,6 +522,322 @@ def sorted(self, iterator, key=None, reverse=False):
             return heapq.merge(chunks, key=key, reverse=reverse)
     
     
    +class ExternalList(object):
    +    """
    +    ExternalList can have many items which cannot be hold in memory in
    +    the same time.
    +
    +    >>> l = ExternalList(range(100))
    +    >>> len(l)
    +    100
    +    >>> l.append(10)
    +    >>> len(l)
    +    101
    +    >>> for i in range(10240):
    +    ...     l.append(i)
    +    >>> len(l)
    +    10341
    +    >>> import pickle
    +    >>> l2 = pickle.loads(pickle.dumps(l))
    +    >>> len(l2)
    +    10341
    +    >>> list(l2)[100]
    +    10
    +    """
    +    LIMIT = 10240
    +
    +    def __init__(self, values):
    +        self.values = values
    +        self.count = len(values)
    +        self._file = None
    +        self._ser = None
    +
    +    def __getstate__(self):
    +        if self._file is not None:
    +            self._file.flush()
    +            f = os.fdopen(os.dup(self._file.fileno()))
    +            f.seek(0)
    +            serialized = f.read()
    +        else:
    +            serialized = ''
    +        return self.values, self.count, serialized
    +
    +    def __setstate__(self, item):
    +        self.values, self.count, serialized = item
    +        if serialized:
    +            self._open_file()
    +            self._file.write(serialized)
    +        else:
    +            self._file = None
    +            self._ser = None
    +
    +    def __iter__(self):
    +        if self._file is not None:
    +            self._file.flush()
    +            # read all items from disks first
    +            with os.fdopen(os.dup(self._file.fileno()), 'r') as f:
    +                f.seek(0)
    +                for values in self._ser.load_stream(f):
    +                    for v in values:
    +                        yield v
    +
    +        for v in self.values:
    +            yield v
    +
    +    def __len__(self):
    +        return self.count
    +
    +    def append(self, value):
    +        self.values.append(value)
    +        self.count += 1
    +        # dump them into disk if the key is huge
    +        if len(self.values) >= self.LIMIT:
    +            self._spill()
    +
    +    def _open_file(self):
    +        dirs = _get_local_dirs("objects")
    +        d = dirs[id(self) % len(dirs)]
    +        if not os.path.exists(d):
    +            os.makedirs(d)
    +        p = os.path.join(d, str(id))
    +        self._file = open(p, "w+", 65536)
    +        self._ser = CompressedSerializer(PickleSerializer())
    +        os.unlink(p)
    +
    +    def _spill(self):
    +        """ dump the values into disk """
    +        global MemoryBytesSpilled, DiskBytesSpilled
    +        if self._file is None:
    +            self._open_file()
    +
    +        used_memory = get_used_memory()
    +        pos = self._file.tell()
    +        self._ser.dump_stream([self.values], self._file)
    --- End diff --
    
    If `self.values` is a collection, why do we need to wrap it into a list 
prior to dumping it?


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