Reputation: 3257
I have a massive pyspark dataframe. I need to group by Person
and then collect
their Budget
items into a list, to perform a further calculation.
As an example,
a = [('Bob', 562,"Food", "12 May 2018"), ('Bob',880,"Food","01 June 2018"), ('Bob',380,'Household'," 16 June 2018"), ('Sue',85,'Household'," 16 July 2018"), ('Sue',963,'Household'," 16 Sept 2018")]
df = spark.createDataFrame(a, ["Person", "Amount","Budget", "Date"])
Group By:
import pyspark.sql.functions as F
df_grouped = df.groupby('person').agg(F.collect_list("Budget").alias("data"))
Schema:
root
|-- person: string (nullable = true)
|-- data: array (nullable = true)
| |-- element: string (containsNull = true)
However, I am getting a memory error when I try to apply a UDF on each person. How can I get the size (in megabytes or gigbabytes) of each list (data
) for each person?
I have done the following, but I am getting nulls
import sys
size_list_udf = F.udf(lambda data: sys.getsizeof(data)/1000, DoubleType())
df_grouped = df_grouped.withColumn("size",size_list_udf("data") )
df_grouped.show()
Output:
+------+--------------------+----+
|person| data|size|
+------+--------------------+----+
| Sue|[Household, House...|null|
| Bob|[Food, Food, Hous...|null|
+------+--------------------+----+
Upvotes: 1
Views: 2864
Reputation: 43504
You just have one minor issue with your code. sys.getsizeof()
returns the size of an object in bytes as an integer. You're dividing this by the integer value 1000
to get kilobytes. In python 2, this returns an integer. However you defined your udf
to return a DoubleType()
. The simple fix is to divide by 1000.0
.
import sys
size_list_udf = f.udf(lambda data: sys.getsizeof(data)/1000.0, DoubleType())
df_grouped = df_grouped.withColumn("size",size_list_udf("data") )
df_grouped.show(truncate=False)
#+------+-----------------------+-----+
#|person|data |size |
#+------+-----------------------+-----+
#|Sue |[Household, Household] |0.112|
#|Bob |[Food, Food, Household]|0.12 |
#+------+-----------------------+-----+
I have found that in cases where a udf
is returning null
, the culprit is very frequently a type mismatch.
Upvotes: 1