Question

我正在使用AWS EMR（5.29）运行pyspark作业，但是在我apply熊猫udf时收到此错误。

pyarrow.lib.ArrowInvalid: Input object was not a NumPy array

这是用于复制问题的伪代码。

import pyspark.sql.functions as F
from pyspark.sql.types import *

df = spark.createDataFrame([
    (1, "A", "X1"),
    (2, "B", "X2"),
    (3, "B", "X3"),
    (1, "B", "X3"),
    (2, "C", "X2"),
    (3, "C", "X2"),
    (1, "C", "X1"),
    (1, "B", "X1"),
], ["id", "type", "code"])

这是虚拟udf

schema = StructType([
    StructField("code", StringType()),
])


@F.pandas_udf(schema, F.PandasUDFType.GROUPED_MAP)
def dummy_udaf(pdf):
    pdf = pdf[['code']]
    return pdf

当我运行这一行时，

df.groupby('type').apply(dummy_udaf).show()

我收到此错误：

An error occurred while calling o149.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 64 in stage 12.0 failed 4 times, most recent failure: Lost task 64.3 in stage 12.0 (TID 66, ip-10-161-108-245.vpc.internal, executor 2): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/mnt2/yarn/usercache/livy/appcache/application_1585015669438_0003/container_1585015669438_0003_01_000253/pyspark.zip/pyspark/worker.py", line 377, in main
    process()
  File "/mnt2/yarn/usercache/livy/appcache/application_1585015669438_0003/container_1585015669438_0003_01_000253/pyspark.zip/pyspark/worker.py", line 372, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/mnt2/yarn/usercache/livy/appcache/application_1585015669438_0003/container_1585015669438_0003_01_000253/pyspark.zip/pyspark/serializers.py", line 287, in dump_stream
    batch = _create_batch(series, self._timezone)
  File "/mnt2/yarn/usercache/livy/appcache/application_1585015669438_0003/container_1585015669438_0003_01_000253/pyspark.zip/pyspark/serializers.py", line 256, in _create_batch
    arrs = [create_array(s, t) for s, t in series]
  File "/mnt2/yarn/usercache/livy/appcache/application_1585015669438_0003/container_1585015669438_0003_01_000253/pyspark.zip/pyspark/serializers.py", line 256, in <listcomp>
    arrs = [create_array(s, t) for s, t in series]
  File "/mnt2/yarn/usercache/livy/appcache/application_1585015669438_0003/container_1585015669438_0003_01_000253/pyspark.zip/pyspark/serializers.py", line 254, in create_array
    return pa.Array.from_pandas(s, mask=mask, type=t, safe=False)
  File "pyarrow/array.pxi", line 755, in pyarrow.lib.Array.from_pandas
  File "pyarrow/array.pxi", line 265, in pyarrow.lib.array
  File "pyarrow/array.pxi", line 80, in pyarrow.lib._ndarray_to_array
  File "pyarrow/error.pxi", line 84, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Input object was not a NumPy array

尝试按照建议的here使用降级的arrow版本，并按照建议的here禁用pyarrow优化，但没有任何效果。

Answer 1

我（在AWS EMR上）遇到了与您相同的问题，并且能够通过安装pyarrow==0.14.1来解决此问题。我不完全知道为什么它对您不起作用，但是有一个猜测是您需要在bootstrap script中执行此安装，以便安装在群集中的所有计算机上。仅仅在您正在使用的笔记本中设置环境变量是不够的。希望这对您有所帮助！

pyarrow错误：在pyspark中运行熊猫udf时

1 个答案: