[
https://issues.apache.org/jira/browse/SPARK-43439?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Frederik Paradis updated SPARK-43439:
-------------------------------------
Description:
When passing a string to the drop method, if the string contains an alias, the
column is not dropped. However, passing a column object with the same name and
alias, it works.
{code:python}
from pyspark.sql import SparkSession
import pyspark.sql.functions as F
spark =
SparkSession.builder.master("local[1]").appName("local-spark-session").getOrCreate()
df = spark.createDataFrame([(1, 10)], ["any", "hour"]).alias("a")
j = df.drop("a.hour")
print(j) # DataFrame[any: bigint, hour: bigint]
jj = df.drop(F.col("a.hour"))
print(jj) # DataFrame[any: bigint]
{code}
Related issues:
https://issues.apache.org/jira/browse/SPARK-31123
https://issues.apache.org/jira/browse/SPARK-14759
was:
When passing a string to the drop method, if the string contains an alias, the
column is not dropped. However, passing a column object with the same name and
alias, it works.
{code:python}
from pyspark.sql import SparkSession
import pyspark.sql.functions as F
spark =
SparkSession.builder.master("local[1]").appName("local-spark-session").getOrCreate()
df1 = spark.createDataFrame([(1, 10)], ["any", "hour"]).alias("a")
j = df1.drop("a.hour")
print(j) # DataFrame[any: bigint, hour: bigint]
jj = df1.drop(F.col("a.hour"))
print(jj) # DataFrame[any: bigint]
{code}
Related issues:
https://issues.apache.org/jira/browse/SPARK-31123
https://issues.apache.org/jira/browse/SPARK-14759
> Drop does not work when passed a string with an alias
> -----------------------------------------------------
>
> Key: SPARK-43439
> URL: https://issues.apache.org/jira/browse/SPARK-43439
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.3.2
> Reporter: Frederik Paradis
> Priority: Major
>
> When passing a string to the drop method, if the string contains an alias,
> the column is not dropped. However, passing a column object with the same
> name and alias, it works.
> {code:python}
> from pyspark.sql import SparkSession
> import pyspark.sql.functions as F
> spark =
> SparkSession.builder.master("local[1]").appName("local-spark-session").getOrCreate()
> df = spark.createDataFrame([(1, 10)], ["any", "hour"]).alias("a")
> j = df.drop("a.hour")
> print(j) # DataFrame[any: bigint, hour: bigint]
> jj = df.drop(F.col("a.hour"))
> print(jj) # DataFrame[any: bigint]
> {code}
>
> Related issues:
> https://issues.apache.org/jira/browse/SPARK-31123
> https://issues.apache.org/jira/browse/SPARK-14759
>
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
