[
https://issues.apache.org/jira/browse/SPARK-39070?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Felix Altenberg updated SPARK-39070:
------------------------------------
Description:
The following Code raises an exception starting in spark version 3.2.0
{code:java}
import pyspark.sql.functions as sf
from pyspark.sql import Row
data = [
Row(
other_value=10,
ships=[
Row(
fields=[
Row(name="field1", value=1),
Row(name="field2", value=2),
]
),
Row(
fields=[
Row(name="field1", value=3),
Row(name="field3", value=4),
]
),
],
)
]
df = spark.createDataFrame(data)
df = df.withColumn("ships", sf.explode("ships")).select(
sf.col("other_value"), sf.col("ships.*")
)
df = df.withColumn("fields", sf.explode("fields")).select("other_value",
"fields.*")
df = df.groupBy("other_value").pivot("name") #ERROR THROWN HERE {code}
The "pivot("name")" is what causes the error to be thrown.
I have attached the full stacktrace of the error below.
I will try to investigate more after work today and will add anything else I
find.
was:
The following Code raises an exception starting in spark version 3.2.0
{code:java}
import pyspark.sql.functions as sf
from pyspark.sql import Row
data = [
Row(
other_value=10,
ships=[
Row(
fields=[
Row(name="field1", value=1),
Row(name="field2", value=2),
]
),
Row(
fields=[
Row(name="field1", value=3),
Row(name="field3", value=4),
]
),
],
)
]
df = spark.createDataFrame(data)
df = df.withColumn("ships", sf.explode("ships")).select(
sf.col("other_value"), sf.col("ships.*")
)
df = df.withColumn("fields", sf.explode("fields")).select("other_value",
"fields.*")
df = df.groupBy("other_value").pivot("name") #ERROR THROWN HERE {code}
The "pivot("name")" is what causes the error to be thrown.
I'll try to attach the full error message.
> Pivoting a dataframe after two explodes raises an
> org.codehaus.commons.compiler.CompileException
> ------------------------------------------------------------------------------------------------
>
> Key: SPARK-39070
> URL: https://issues.apache.org/jira/browse/SPARK-39070
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.2.0, 3.2.1
> Environment: Tested on:
> MacOS 12.3.1, python versions 3.8.10, 3.9.12
> Ubuntu 20.04, python version 3.8.10
> Tested spark versions 3.2.1 and 3.2.0 installed through conda and pip
> Reporter: Felix Altenberg
> Priority: Major
> Attachments: spark_pivot_error.txt
>
>
> The following Code raises an exception starting in spark version 3.2.0
> {code:java}
> import pyspark.sql.functions as sf
> from pyspark.sql import Row
> data = [
> Row(
> other_value=10,
> ships=[
> Row(
> fields=[
> Row(name="field1", value=1),
> Row(name="field2", value=2),
> ]
> ),
> Row(
> fields=[
> Row(name="field1", value=3),
> Row(name="field3", value=4),
> ]
> ),
> ],
> )
> ]
> df = spark.createDataFrame(data)
> df = df.withColumn("ships", sf.explode("ships")).select(
> sf.col("other_value"), sf.col("ships.*")
> )
> df = df.withColumn("fields", sf.explode("fields")).select("other_value",
> "fields.*")
> df = df.groupBy("other_value").pivot("name") #ERROR THROWN HERE {code}
> The "pivot("name")" is what causes the error to be thrown.
> I have attached the full stacktrace of the error below.
> I will try to investigate more after work today and will add anything else I
> find.
>
>
--
This message was sent by Atlassian Jira
(v8.20.7#820007)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
