What is the difference between $“Col1”, 'Col1 and “Col1” in Spark SQL?
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I am currently referring Spark in Action Book in that, I came across using same column in different ways.
val postsIdBody = postsDf.select('id, 'body)
val postsIdBody = postsDf.select($"id", $"body")
val postsIdBody = postsDf.select("id", "body")
we are able to get similar results. Is there any much difference between those? Can anyone clearly explain in what situations we need to implement each type of those.
Thanks in advance
scala apache-spark apache-spark-sql
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I am currently referring Spark in Action Book in that, I came across using same column in different ways.
val postsIdBody = postsDf.select('id, 'body)
val postsIdBody = postsDf.select($"id", $"body")
val postsIdBody = postsDf.select("id", "body")
we are able to get similar results. Is there any much difference between those? Can anyone clearly explain in what situations we need to implement each type of those.
Thanks in advance
scala apache-spark apache-spark-sql
Using the $ sign is a spark-specific way of scala string interpolation. see stackoverflow.com/questions/35885702/sqlcontext-implicits and bzhangusc.wordpress.com/2015/03/29/the-column-class
– moe
Nov 16 '18 at 14:27
add a comment |
I am currently referring Spark in Action Book in that, I came across using same column in different ways.
val postsIdBody = postsDf.select('id, 'body)
val postsIdBody = postsDf.select($"id", $"body")
val postsIdBody = postsDf.select("id", "body")
we are able to get similar results. Is there any much difference between those? Can anyone clearly explain in what situations we need to implement each type of those.
Thanks in advance
scala apache-spark apache-spark-sql
I am currently referring Spark in Action Book in that, I came across using same column in different ways.
val postsIdBody = postsDf.select('id, 'body)
val postsIdBody = postsDf.select($"id", $"body")
val postsIdBody = postsDf.select("id", "body")
we are able to get similar results. Is there any much difference between those? Can anyone clearly explain in what situations we need to implement each type of those.
Thanks in advance
scala apache-spark apache-spark-sql
scala apache-spark apache-spark-sql
edited Nov 16 '18 at 18:36
moe
574519
574519
asked Nov 16 '18 at 11:25
user2815076user2815076
94
94
Using the $ sign is a spark-specific way of scala string interpolation. see stackoverflow.com/questions/35885702/sqlcontext-implicits and bzhangusc.wordpress.com/2015/03/29/the-column-class
– moe
Nov 16 '18 at 14:27
add a comment |
Using the $ sign is a spark-specific way of scala string interpolation. see stackoverflow.com/questions/35885702/sqlcontext-implicits and bzhangusc.wordpress.com/2015/03/29/the-column-class
– moe
Nov 16 '18 at 14:27
Using the $ sign is a spark-specific way of scala string interpolation. see stackoverflow.com/questions/35885702/sqlcontext-implicits and bzhangusc.wordpress.com/2015/03/29/the-column-class
– moe
Nov 16 '18 at 14:27
Using the $ sign is a spark-specific way of scala string interpolation. see stackoverflow.com/questions/35885702/sqlcontext-implicits and bzhangusc.wordpress.com/2015/03/29/the-column-class
– moe
Nov 16 '18 at 14:27
add a comment |
1 Answer
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I'm sure the book includes this, but by importing the implicits package in Scala, you can use these symbols to create Column
objects without otherwise typing out new Column(name)
You would use column objects rather than strings because you can do ordering and aliasing easier within the dataframe API
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I'm sure the book includes this, but by importing the implicits package in Scala, you can use these symbols to create Column
objects without otherwise typing out new Column(name)
You would use column objects rather than strings because you can do ordering and aliasing easier within the dataframe API
add a comment |
I'm sure the book includes this, but by importing the implicits package in Scala, you can use these symbols to create Column
objects without otherwise typing out new Column(name)
You would use column objects rather than strings because you can do ordering and aliasing easier within the dataframe API
add a comment |
I'm sure the book includes this, but by importing the implicits package in Scala, you can use these symbols to create Column
objects without otherwise typing out new Column(name)
You would use column objects rather than strings because you can do ordering and aliasing easier within the dataframe API
I'm sure the book includes this, but by importing the implicits package in Scala, you can use these symbols to create Column
objects without otherwise typing out new Column(name)
You would use column objects rather than strings because you can do ordering and aliasing easier within the dataframe API
answered Nov 16 '18 at 14:59
cricket_007cricket_007
84.1k1147119
84.1k1147119
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Using the $ sign is a spark-specific way of scala string interpolation. see stackoverflow.com/questions/35885702/sqlcontext-implicits and bzhangusc.wordpress.com/2015/03/29/the-column-class
– moe
Nov 16 '18 at 14:27