[
https://issues.apache.org/jira/browse/SPARK-31160?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yves updated SPARK-31160:
-------------------------
Priority: Critical (was: Major)
> Resolved attribute(s) <attr> missing from ...
> ---------------------------------------------
>
> Key: SPARK-31160
> URL: https://issues.apache.org/jira/browse/SPARK-31160
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.4.5
> Environment: macos: catalina
> java: 8
> I have this env var set:
> export ARROW_PRE_0_15_IPC_FORMAT=1
> Reporter: Yves
> Priority: Critical
>
> When a fillna is used on a column and then you try to apply a udf on the same
> column you get a `Resolved attribute(s) <attr> missing from ...` error.
> Example Code:
>
> {code:java}
> from pyspark.sql import SparkSession
> import pandas as pd
> from pyspark.sql.functions import pandas_udf, PandasUDFType
> from pyspark.sql.types import *
> spark = SparkSession \
> .builder \
> .master("local[*]") \
> .appName("bug") \
> .getOrCreate()
> spark.sparkContext.setLogLevel("ERROR")
> spark.conf.set("spark.sql.execution.arrow.enabled", "true")
> df = spark.createDataFrame(
> [
> (1, "Joey", "Richard", None),
> (2, "Stephane", "Boudreau", 36),
> (2, "Rejean", "Lapierre", 34)
> ],
> ["id", "first_name", "last", "age"]
> )
> @pandas_udf("integer", PandasUDFType.SCALAR)
> def plus_five(p):
> return p.age + 5
> df2 = df.fillna({"age": 99}).withColumn("age_5", plus_five(df.age))
> df2.show()
> {code}
>
>
> Error:
>
> {code:java}
> Traceback (most recent call last):Traceback (most recent call last): File
> "/usr/local/Cellar/apache-spark/2.4.5/libexec/python/lib/pyspark.zip/pyspark/sql/utils.py",
> line 63, in deco File
> "/usr/local/Cellar/apache-spark/2.4.5/libexec/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py",
> line 328, in get_return_valuepy4j.protocol.Py4JJavaError: An error occurred
> while calling o70.withColumn.: org.apache.spark.sql.AnalysisException:
> Resolved attribute(s) age#3L missing from id#0L,first_name#1,last#2,age#12L
> in operator !Project [id#0L, first_name#1, last#2, age#12L, plus_five(age#3L)
> AS age_5#18]. Attribute(s) with the same name appear in the operation: age.
> Please check if the right attribute(s) are used.;;!Project [id#0L,
> first_name#1, last#2, age#12L, plus_five(age#3L) AS age_5#18]+- Project
> [id#0L, first_name#1, last#2, coalesce(age#3L, cast(99 as bigint)) AS
> age#12L] +- LogicalRDD [id#0L, first_name#1, last#2, age#3L], false
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:43)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:95)
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:369)
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:86)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:126) at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:86)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:95)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:108)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:105)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:201)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:105)
> at
> org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:58)
> at
> org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:56)
> at
> org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:48)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:78) at
> org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withPlan(Dataset.scala:3412)
> at org.apache.spark.sql.Dataset.select(Dataset.scala:1340) at
> org.apache.spark.sql.Dataset.withColumns(Dataset.scala:2258) at
> org.apache.spark.sql.Dataset.withColumn(Dataset.scala:2225) at
> sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498) at
> py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at
> py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at
> py4j.Gateway.invoke(Gateway.java:282) at
> py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at
> py4j.commands.CallCommand.execute(CallCommand.java:79) at
> py4j.GatewayConnection.run(GatewayConnection.java:238) at
> java.lang.Thread.run(Thread.java:748)During handling of the above exception,
> another exception occurred:
> Traceback (most recent call last): File
> "/Users/yvesrichard/Documents/projects/premise/spark-play/bug.py", line 29,
> in <module> df2 = df.fillna({"age": 99}).withColumn("age_5",
> plus_five(df.age)) File
> "/usr/local/Cellar/apache-spark/2.4.5/libexec/python/lib/pyspark.zip/pyspark/sql/dataframe.py",
> line 1997, in withColumn File
> "/usr/local/Cellar/apache-spark/2.4.5/libexec/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py",
> line 1257, in __call__ File
> "/usr/local/Cellar/apache-spark/2.4.5/libexec/python/lib/pyspark.zip/pyspark/sql/utils.py",
> line 69, in decopyspark.sql.utils.AnalysisException: 'Resolved attribute(s)
> age#3L missing from id#0L,first_name#1,last#2,age#12L in operator !Project
> [id#0L, first_name#1, last#2, age#12L, plus_five(age#3L) AS age_5#18].
> Attribute(s) with the same name appear in the operation: age. Please check if
> the right attribute(s) are used.;;\n!Project [id#0L, first_name#1, last#2,
> age#12L, plus_five(age#3L) AS age_5#18]\n+- Project [id#0L, first_name#1,
> last#2, coalesce(age#3L, cast(99 as bigint)) AS age#12L]\n +- LogicalRDD
> [id#0L, first_name#1, last#2, age#3L], false\n'{code}
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