Allison Wang created SPARK-45509:
------------------------------------
Summary: Investigate the behavior difference in self-join
Key: SPARK-45509
URL: https://issues.apache.org/jira/browse/SPARK-45509
Project: Spark
Issue Type: Sub-task
Components: Connect, PySpark
Affects Versions: 3.5.0, 4.0.0
Reporter: Allison Wang
SAPRK-45220 discovers a behavior difference for a self-join scenario between
class Spark and Spark Connect.
For instance. here is the query that works without Spark Connect:
{code:java}
joined = df.join(df2, df.name == df2.name, "outer").sort(sf.desc(df.name))
joined.show(){code}
But in Spark Connect, it throws this exception:
{code:java}
pyspark.errors.exceptions.connect.AnalysisException:
[UNRESOLVED_COLUMN.WITH_SUGGESTION] A column, variable, or function parameter
with name `name` cannot be resolved. Did you mean one of the following?
[`name`, `name`, `age`, `height`].;
'Sort ['name DESC NULLS LAST], true
+- Join FullOuter, (name#64 = name#78)
:- LocalRelation [name#64, age#65L]
+- LocalRelation [name#78, height#79L]
{code}
On the other hand, this query failed in classic Spark Connect:
{code:java}
df.join(df, df.name == df.name, "outer").select(df.name).show() {code}
{code:java}
pyspark.errors.exceptions.captured.AnalysisException: Column name#0 are
ambiguous... {code}
but this query works with Spark Connect.
We need to investigate the behavior difference and fix it.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
