Apply Date format when changing DataType
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
edited Nov 21 '18 at 6:40
Ali AzG
7151616
asked Nov 20 '18 at 15:09
syvsyv
1,30841628
add a comment |
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
edited Nov 21 '18 at 6:40
Ali AzG
7151616
asked Nov 20 '18 at 15:09
syvsyv
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
add a comment |
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
edited Nov 21 '18 at 6:40
Ali AzG
7151616
asked Nov 20 '18 at 15:09
syvsyv
1,30841628
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
edited Nov 21 '18 at 6:40
Ali AzG
7151616
asked Nov 20 '18 at 15:09
syvsyv
1,30841628
edited Nov 21 '18 at 6:40
Ali AzG
7151616
asked Nov 20 '18 at 15:09
syvsyv
1,30841628
edited Nov 21 '18 at 6:40
Ali AzG
7151616
edited Nov 21 '18 at 6:40
Ali AzG
7151616
edited Nov 21 '18 at 6:40
Ali AzG
7151616
7151616
asked Nov 20 '18 at 15:09
syvsyv
1,30841628
asked Nov 20 '18 at 15:09
syvsyv
1,30841628
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
add a comment |
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
add a comment |
1 Answer
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oldest
votes
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".
answered Nov 20 '18 at 15:30
ManriqueManrique
522114
add a comment |
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1 Answer
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1 Answer
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active
oldest
votes
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oldest
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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".
answered Nov 20 '18 at 15:30
ManriqueManrique
522114
add a comment |
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".
answered Nov 20 '18 at 15:30
ManriqueManrique
522114
add a comment |
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".
answered Nov 20 '18 at 15:30
ManriqueManrique
522114
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".
answered Nov 20 '18 at 15:30
ManriqueManrique
522114
answered Nov 20 '18 at 15:30
ManriqueManrique
522114
answered Nov 20 '18 at 15:30
ManriqueManrique
522114
answered Nov 20 '18 at 15:30
ManriqueManrique
522114
522114
add a comment |
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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