Ошибка при включении столбца в соединение между кадрами данных Spark - PullRequest
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Ошибка при включении столбца в соединение между кадрами данных Spark

0 голосов
/ 25 мая 2020

У меня есть соединение между cleanDF и sentiment_df с использованием array_contains, которое отлично работает ( из решения 61687997 ). И мне нужно включить в Result df новый столбец ('Год') из cleanDF.

Это соединение: 

from pyspark.sql import functions

Result = cleanDF.join(sentiment_df, expr("""array_contains(MeaningfulWords,word)"""), how='left')\
                .groupBy("ID")\
                .agg(first("MeaningfulWords").alias("MeaningfulWords")\
                  ,collect_list("score").alias("ScoreList")\
                  ,mean("score").alias("MeanScore"))

Это структура Result: 

Result.show(5)

#+------------------+--------------------+--------------------+-----------------+
#|                ID|     MeaningfulWords|           ScoreList|        MeanScore|
#+------------------+--------------------+--------------------+-----------------+
#|a0U3Y00000p1IzjUAE|[buen, servicio, ...|        [6.39, 1.82]|            4.105|
#|a0U3Y00000p1KhGUAU|              [mala]|              [2.02]|             2.02|
#|a0U3Y00000p1M1oUAE|[cliente, content...|        [6.39, 8.41]|              7.4|
#|a0U3Y00000p1OnTUAU|[positivo, trato,...|               [8.2]|             8.19|
#|a0U3Y00000p1R5DUAU|[momento, sido, g...|               [6.0]|              6.0|
#+------------------+--------------------+--------------------+-----------------+

Я добавляю .select ( 36132322 ), чтобы включить столбец Year из cleanDF: 

Result1 = cleanDF.alias('a').join(sentiment_df.alias('b'), expr("""array_contains(a.MeaningfulWords,b.word)"""), how='left')\
                .select(col('a.ID'),col('a.Year'),col('a.MeaningfulWords'),col('b.word'),col('b.score'))\
                .groupBy("ID")\
                .agg(first("a.MeaningfulWords").alias("MeaningfulWords")\
                  ,collect_list("score").alias("ScoreList")\
                  ,mean("score").alias("MeanScore"))

Но я получаю Result1 те же столбцы, что и **Result**: 

display(Result1)

#DataFrame[ID: string, MeaningfulWords: array<string>, ScoreList: array<double>, MeanScore: double]

Когда я пытаюсь включить Year в .agg функцию: 

Result2 = cleanDF.join(sentiment_df, expr("""array_contains(MeaningfulWords,word)"""), how='left')\
                .groupBy("ID")\
                .agg(first("MeaningfulWords").alias("MeaningfulWords"),first("Year").alias("Year")\
                  ,collect_list("score").alias("ScoreList")\
                  ,mean("score").alias("MeanScore"))

Result2.show()

Py4JJavaError: An error occurred while calling o3205.showString.
: org.apache.spark.SparkException: Exception thrown in awaitResult: 
    at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:226)
    at org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecuteBroadcast(BroadcastExchangeExec.scala:146)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeBroadcast$1.apply(SparkPlan.scala:144)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeBroadcast$1.apply(SparkPlan.scala:140)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
    at org.apache.spark.sql.execution.SparkPlan.executeBroadcast(SparkPlan.scala:140)
    at org.apache.spark.sql.execution.joins.BroadcastNestedLoopJoinExec.doExecute(BroadcastNestedLoopJoinExec.scala:343)
    ...
    ...
    ...
        Caused by: org.apache.spark.SparkException: Failed to execute user defined function($anonfun$createTransformFunc$1: (string) => array<string>)
            at org.apache.spark.sql.catalyst.expressions.ScalaUDF.eval(ScalaUDF.scala:1066)
            at org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:109)
            at org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:107)
            at org.apache.spark.sql.catalyst.expressions.ScalaUDF.eval(ScalaUDF.scala:1063)
    ...
    ...
    Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 411.0 failed 1 times, most recent failure: Lost task 2.0 in stage 411.0 (TID 9719, localhost, executor driver): org.apache.spark.SparkException: Failed to execute user defined function($anonfun$5: (array<string>) => array<string>)
        at org.apache.spark.sql.catalyst.expressions.ScalaUDF.eval(ScalaUDF.scala:1066)
        at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction$class.eval(higherOrderFunctions.scala:208)
        at org.apache.spark.sql.catalyst.expressions.ArrayFilter.eval(higherOrderFunctions.scala:296)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
    ...
    ...
    ... 20 more
    Caused by: java.lang.NullPointerException

Я использую pyspark на Spark 2.4.5.

Заранее благодарим за помощь.

1 Ответ

1 голос
/ 26 мая 2020
Столбец

Год может иметь нулевые значения, и из-за этого возникает ошибка Caused by: java.lang.NullPointerException. Отфильтровать все нулевые значения из столбца Year.

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