Apply Date format when changing DataType












0















I'm applying Data Type for each column in Data Frame like below



[StructField('name',StringType(),True), StructField(‘dob’,DateType(),True)]


Is there anyway to mention date format YYYY/MM/DD in the above statement?






python apache-spark pyspark apache-spark-sql







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  • why should you do? you can use date function like spark.apache.org/docs/latest/api/java/org/apache/spark/sql/… (for scala) to get string date representation with specific format

    – morsik
    Nov 20 '18 at 20:43
















0















I'm applying Data Type for each column in Data Frame like below



[StructField('name',StringType(),True), StructField(‘dob’,DateType(),True)]


Is there anyway to mention date format YYYY/MM/DD in the above statement?






python apache-spark pyspark apache-spark-sql







share|improve this question

























  • why should you do? you can use date function like spark.apache.org/docs/latest/api/java/org/apache/spark/sql/… (for scala) to get string date representation with specific format

    – morsik
    Nov 20 '18 at 20:43














0












0








0








I'm applying Data Type for each column in Data Frame like below



[StructField('name',StringType(),True), StructField(‘dob’,DateType(),True)]


Is there anyway to mention date format YYYY/MM/DD in the above statement?






python apache-spark pyspark apache-spark-sql







share|improve this question
















I'm applying Data Type for each column in Data Frame like below



[StructField('name',StringType(),True), StructField(‘dob’,DateType(),True)]


Is there anyway to mention date format YYYY/MM/DD in the above statement?






python apache-spark pyspark apache-spark-sql




python apache-spark pyspark apache-spark-sql






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 21 '18 at 6:40









Ali AzG

7151616




7151616










asked Nov 20 '18 at 15:09









syvsyv

1,30841628




1,30841628













  • why should you do? you can use date function like spark.apache.org/docs/latest/api/java/org/apache/spark/sql/… (for scala) to get string date representation with specific format

    – morsik
    Nov 20 '18 at 20:43



















  • why should you do? you can use date function like spark.apache.org/docs/latest/api/java/org/apache/spark/sql/… (for scala) to get string date representation with specific format

    – morsik
    Nov 20 '18 at 20:43

















why should you do? you can use date function like spark.apache.org/docs/latest/api/java/org/apache/spark/sql/… (for scala) to get string date representation with specific format

– morsik
Nov 20 '18 at 20:43





why should you do? you can use date function like spark.apache.org/docs/latest/api/java/org/apache/spark/sql/… (for scala) to get string date representation with specific format

– morsik
Nov 20 '18 at 20:43












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I'm sorry but no, you can't, and the default Datetype format is this one: YYYY-MM-DD, as it says in the documentation of apache spark:




A date type, supporting "0001-01-01" through "9999-12-31".







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    1 Answer
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    1 Answer
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    active

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    active

    oldest

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    active

    oldest

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    0














    I'm sorry but no, you can't, and the default Datetype format is this one: YYYY-MM-DD, as it says in the documentation of apache spark:




    A date type, supporting "0001-01-01" through "9999-12-31".







    share|improve this answer




























      0














      I'm sorry but no, you can't, and the default Datetype format is this one: YYYY-MM-DD, as it says in the documentation of apache spark:




      A date type, supporting "0001-01-01" through "9999-12-31".







      share|improve this answer


























        0












        0








        0







        I'm sorry but no, you can't, and the default Datetype format is this one: YYYY-MM-DD, as it says in the documentation of apache spark:




        A date type, supporting "0001-01-01" through "9999-12-31".







        share|improve this answer













        I'm sorry but no, you can't, and the default Datetype format is this one: YYYY-MM-DD, as it says in the documentation of apache spark:




        A date type, supporting "0001-01-01" through "9999-12-31".








        share|improve this answer












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        share|improve this answer










        answered Nov 20 '18 at 15:30









        ManriqueManrique

        522114




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