How to Compile Equivalent SQL code written in Python / Spark
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I am trying to clean data using Pyspark techniques with an application called Optimus, see link
https://github.com/ironmussa/Optimus
As you can see it uses the following lines of code to transform the data:
df
.rows.sort("product","desc")
.cols.lower(["firstName","lastName"])
.cols.date_transform("birth", "new_date", "yyyy/MM/dd", "dd-MM-YYYY")
.cols.years_between("birth", "years_between", "yyyy/MM/dd")
.cols.remove_accents("lastName")
.cols.remove_special_chars("lastName")
.cols.replace("product","taaaccoo","taco")
.cols.replace("product",["piza","pizzza"],"pizza")
.rows.drop(df["id"]<7)
.cols.drop("dummyCol")
.cols.rename(str.lower)
.cols.apply_by_dtypes("product",func,"string", data_type="integer")
.cols.trim("*")
.show()
Can someone let me know what the equivalent commands would be in SQL?
sql python-3.x apache-spark
asked Nov 10 at 22:15
user485868
32
add a comment |
up vote
-2
down vote
favorite
I am trying to clean data using Pyspark techniques with an application called Optimus, see link
https://github.com/ironmussa/Optimus
As you can see it uses the following lines of code to transform the data:
df
.rows.sort("product","desc")
.cols.lower(["firstName","lastName"])
.cols.date_transform("birth", "new_date", "yyyy/MM/dd", "dd-MM-YYYY")
.cols.years_between("birth", "years_between", "yyyy/MM/dd")
.cols.remove_accents("lastName")
.cols.remove_special_chars("lastName")
.cols.replace("product","taaaccoo","taco")
.cols.replace("product",["piza","pizzza"],"pizza")
.rows.drop(df["id"]<7)
.cols.drop("dummyCol")
.cols.rename(str.lower)
.cols.apply_by_dtypes("product",func,"string", data_type="integer")
.cols.trim("*")
.show()
Can someone let me know what the equivalent commands would be in SQL?
sql python-3.x apache-spark
asked Nov 10 at 22:15
user485868
32
How far have you gotten before posting this question?
– cricket_007
Nov 10 at 23:36
add a comment |
up vote
-2
down vote
favorite
up vote
-2
down vote
favorite
I am trying to clean data using Pyspark techniques with an application called Optimus, see link
https://github.com/ironmussa/Optimus
As you can see it uses the following lines of code to transform the data:
df
.rows.sort("product","desc")
.cols.lower(["firstName","lastName"])
.cols.date_transform("birth", "new_date", "yyyy/MM/dd", "dd-MM-YYYY")
.cols.years_between("birth", "years_between", "yyyy/MM/dd")
.cols.remove_accents("lastName")
.cols.remove_special_chars("lastName")
.cols.replace("product","taaaccoo","taco")
.cols.replace("product",["piza","pizzza"],"pizza")
.rows.drop(df["id"]<7)
.cols.drop("dummyCol")
.cols.rename(str.lower)
.cols.apply_by_dtypes("product",func,"string", data_type="integer")
.cols.trim("*")
.show()
Can someone let me know what the equivalent commands would be in SQL?
sql python-3.x apache-spark
asked Nov 10 at 22:15
user485868
32
I am trying to clean data using Pyspark techniques with an application called Optimus, see link
https://github.com/ironmussa/Optimus
As you can see it uses the following lines of code to transform the data:
df
.rows.sort("product","desc")
.cols.lower(["firstName","lastName"])
.cols.date_transform("birth", "new_date", "yyyy/MM/dd", "dd-MM-YYYY")
.cols.years_between("birth", "years_between", "yyyy/MM/dd")
.cols.remove_accents("lastName")
.cols.remove_special_chars("lastName")
.cols.replace("product","taaaccoo","taco")
.cols.replace("product",["piza","pizzza"],"pizza")
.rows.drop(df["id"]<7)
.cols.drop("dummyCol")
.cols.rename(str.lower)
.cols.apply_by_dtypes("product",func,"string", data_type="integer")
.cols.trim("*")
.show()
Can someone let me know what the equivalent commands would be in SQL?
sql python-3.x apache-spark
sql python-3.x apache-spark
asked Nov 10 at 22:15
user485868
32
asked Nov 10 at 22:15
user485868
32
asked Nov 10 at 22:15
user485868
32
asked Nov 10 at 22:15
user485868
32
asked Nov 10 at 22:15
user485868
32
32
How far have you gotten before posting this question?
– cricket_007
Nov 10 at 23:36
add a comment |
How far have you gotten before posting this question?
– cricket_007
Nov 10 at 23:36
How far have you gotten before posting this question?
– cricket_007
Nov 10 at 23:36
How far have you gotten before posting this question?
– cricket_007
Nov 10 at 23:36
add a comment |
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How far have you gotten before posting this question?
– cricket_007
Nov 10 at 23:36