Question

我有一个像这样的DataFrame：

+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+
|               brand|              diesel|                 e10|                  e5|         houseNumber|                  id|              isOpen|                 lat|                 lng|                name|               place|            postCode|              street|               Datum|
+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+
|[TOTAL, ARAL, She...|[1.049, 1.029, 1....|[1.249, 1.209, 1....|[1.269, 1.229, 1....|[49, 12-14, ,  , ...|[4409a024-b190-4b...|[true, true, true...|[50.93128, 50.952...|[6.962356, 6.9616...|[TOTAL KOELN, Ara...|[KOELN, Köln, KOE...|[50676, 50668, 50...|[HOLZMARKT, Riehl...|2016-08-01 10:50:...|
+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+

基本上所有列都是数组。它基于嵌套的JSON数据。我试图爆炸它。但这只能在select语句中使用一列。你知道为什么我可以在pyspark中一次解包所有值以保持关系吗？

Answer 1

如果您首先将所有内容映射到一列，然后爆炸，然后拆分，则可能是这样。

df=sc.parallelize([[[1,2,3,4],[10, 20,30,40]]]).toDF()
F=udf(lambda x,y: [[x[i],y[i]]\
  for i in range(4)],ArrayType(ArrayType(IntegerType())))

df.withColumn('merge',F(df._1,df._2))\
  .select(['merge', functions.explode(col('merge'))])

首先，df输出

+------------+----------------+
|          _1|              _2|
+------------+----------------+
|[1, 2, 3, 4]|[10, 20, 30, 40]|
+------------+----------------+

然后最后一列是您需要拆分的内容：

+--------------------+-------+
|               merge|    _c0|
+--------------------+-------+
|[WrappedArray(1, ...|[1, 10]|
|[WrappedArray(1, ...|[2, 20]|
|[WrappedArray(1, ...|[3, 30]|
|[WrappedArray(1, ...|[4, 40]|
+--------------------+-------+

如何在pyspark中爆炸数据框的所有列？

1 个答案: