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Posted to issues@spark.apache.org by "Prasanna Saraswathi Krishnan (Jira)" <ji...@apache.org> on 2019/10/10 19:56:00 UTC

[jira] [Created] (SPARK-29432) nullable flag of new column changes when persisting a pyspark dataframe

Prasanna Saraswathi Krishnan created SPARK-29432:
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             Summary: nullable flag of new column changes when persisting a pyspark dataframe
                 Key: SPARK-29432
                 URL: https://issues.apache.org/jira/browse/SPARK-29432
             Project: Spark
          Issue Type: Question
          Components: SQL
    Affects Versions: 2.4.0
         Environment: Spark 2.4.0-cdh6.1.1 (Cloudera distribution)

Python 3.7.3
            Reporter: Prasanna Saraswathi Krishnan


When I add a new column to a dataframe with {{withColumn}} function, by default, the column is added with {{nullable=false}}.

But, when I save the dataframe, the flag changes to {{nullable=true}}. Is this the expected behavior? why?

 

{{>>> l = [('Alice', 1)]}}
{{>>> df = spark.createDataFrame(l)}}
{{>>> df.printSchema()}}
{{root}}
{{ |-- _1: string (nullable = true)}}
{{ |-- _2: long (nullable = true)}}

{{>>> from pyspark.sql.functions import lit}}
{{>>> df = df.withColumn('newCol', lit('newVal'))}}
{{>>> df.printSchema()}}
{{root}}
{{ |-- _1: string (nullable = true)}}
{{ |-- _2: long (nullable = true)}}
{{ |-- newCol: string (nullable = false)}}

{{>>> df.write.saveAsTable('default.withcolTest', mode='overwrite')}}

{{>>> spark.sql("select * from default.withcolTest").printSchema()}}
{{root}}
{{ |-- _1: string (nullable = true)}}
{{ |-- _2: long (nullable = true)}}
{{ |-- newCol: string (nullable = true)}}



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