Could not serialize object: IndexError: tuple index out of range 代码如下: from pyspark import SparkContext import os import logging logging.basicConfig(level=logging.ERROR) from pyspark.sql import SparkSession,Row ss = SparkSession.builder.appName("rdd").master("local[2]").getOrCreate() # u...
Error: PicklingError: Could not serialize object: TypeError: cannot pickle '_thread.RLock' object Some clues that can help you understand the error: I do not get any error if I run my script on: 300 rows of data. 600 rows of data (created by replicating the original 300 x2) I...
boto3也有类似的问题，通过在UDF中包含boto3客户端解决了这个问题。
Trace: py4j.Py4JException: Method __getnewargs__([]) does not exist我发现了一些关于 stackoverflow 的讨论:Spark __getnewargs__ 错误 ,但我不确定如何解决这个问题?错误是因为我在 UDF 中创建了另一个数据框吗?类似于链接中的解决方案,我尝试了这个: cols = copy.deepcopy(df.columns) df = df.wi...
_pickle.PicklingError: Could not serialize object: Py4JError: An error occurred while calling o186.__getstate__. Trace: py4j.Py4JException: Method __getstate__([]) does not exist 如果你使用当前的代码,我已经删除了所有的内容,只是取出一个给定分组键的硬编码行值 df = df.groupby('grouped_key...
而 “unpickling” 是相反的操作，会将（来自一个 binary file 或者 bytes-like object 的）字节流...
_pickle.PicklingError: Could not serialize object: TypeError: can't pickle _abc_data objects 因此,基本上是“示例”对象中使用的一方函数没有得到序列化,这是我所了解的。 apache-sparkpysparkpython-3.x 来源:https://stackoverflow.com/questions/66790157/pyspark-use-a-dataclass-inside-map-function-cant...
我试图在spark中广播加载的模型,但是从pyspark/broadcast.py中得到这个错误-_pickle.PicklingError: Could not serialize broadcast: TypeError: can't pickle _thread.RLock objectsimport tensorflowas tf frompyspark.sql import Spar 浏览6提问于2020-09-17得票数1 ...
msg = """Could not pickle object as excessively deep recursion required.""" raise pickle.PicklingError(msg) def save_memoryview(self, obj): """Fallback to save_string""" Pickler.save_string(self, str(obj)) def save_buffer(self, obj): """Fallback to save_string""" Pickler.s...
那你可以用toDF()方法，该方法将为您推断数据类型。在这种情况下string以及array<array<double>>```