Spark left_outer join is returning items exist in both list
I'm running spark-shell to compare 2 csv files. Each file has the same number of columns and all have 600,000 rows. I'm expecting the 2 files have all the same rows. Here is my script.
val a =
spark
.read
.option("header", "true")
.option("delimiter", "|")
.csv("/tmp/1.csv")
.drop("unwanted_column").
.cache()
val b =
spark
.read
.option("header", "true")
.option("delimiter", "|")
.csv("/tmp/2.csv")
.drop("unwanted_column")
.cache()
val c = a.join(b, Seq("id", "year"), "left_outer").cache()
c.count() // this is returning 600,000
Now I'm trying to find out the difference by randomly picking a line with the same id and year in 2 datasets a and b.
val a1 = a.filter(i => i.get(0).equals("1") && i.get(1).equals("2016")).first()
val b1 = b.filter(i => i.get(0).equals("1") && i.get(1).equals("2016")).first()
Then I try to compare each column in a1 and b1.
(0 to (a1.length -1)).foreach { i =>
if (a1.getString(i) != null && !a1.getString(i).equals(b1.getString(i))) {
System.out.println(i + " = " + a1.getString(i) + " = " + b1.getString(i))
}
}
It didn't print anything. In other words, there is no difference.
I can't tell why c.count() is returning 600,000 like that.
scala apache-spark
add a comment |
I'm running spark-shell to compare 2 csv files. Each file has the same number of columns and all have 600,000 rows. I'm expecting the 2 files have all the same rows. Here is my script.
val a =
spark
.read
.option("header", "true")
.option("delimiter", "|")
.csv("/tmp/1.csv")
.drop("unwanted_column").
.cache()
val b =
spark
.read
.option("header", "true")
.option("delimiter", "|")
.csv("/tmp/2.csv")
.drop("unwanted_column")
.cache()
val c = a.join(b, Seq("id", "year"), "left_outer").cache()
c.count() // this is returning 600,000
Now I'm trying to find out the difference by randomly picking a line with the same id and year in 2 datasets a and b.
val a1 = a.filter(i => i.get(0).equals("1") && i.get(1).equals("2016")).first()
val b1 = b.filter(i => i.get(0).equals("1") && i.get(1).equals("2016")).first()
Then I try to compare each column in a1 and b1.
(0 to (a1.length -1)).foreach { i =>
if (a1.getString(i) != null && !a1.getString(i).equals(b1.getString(i))) {
System.out.println(i + " = " + a1.getString(i) + " = " + b1.getString(i))
}
}
It didn't print anything. In other words, there is no difference.
I can't tell why c.count() is returning 600,000 like that.
scala apache-spark
Hi @TrongBang, can you be more specific about why it seems like a problem for you? I mean, both lines are equals - why that should imply a problem with thejoin
?
– Luis Miguel Mejía Suárez
Nov 22 '18 at 0:37
1
sorry man, I was confused. Bad morning. Need some more coffee. :)
– TrongBang
Nov 22 '18 at 0:58
add a comment |
I'm running spark-shell to compare 2 csv files. Each file has the same number of columns and all have 600,000 rows. I'm expecting the 2 files have all the same rows. Here is my script.
val a =
spark
.read
.option("header", "true")
.option("delimiter", "|")
.csv("/tmp/1.csv")
.drop("unwanted_column").
.cache()
val b =
spark
.read
.option("header", "true")
.option("delimiter", "|")
.csv("/tmp/2.csv")
.drop("unwanted_column")
.cache()
val c = a.join(b, Seq("id", "year"), "left_outer").cache()
c.count() // this is returning 600,000
Now I'm trying to find out the difference by randomly picking a line with the same id and year in 2 datasets a and b.
val a1 = a.filter(i => i.get(0).equals("1") && i.get(1).equals("2016")).first()
val b1 = b.filter(i => i.get(0).equals("1") && i.get(1).equals("2016")).first()
Then I try to compare each column in a1 and b1.
(0 to (a1.length -1)).foreach { i =>
if (a1.getString(i) != null && !a1.getString(i).equals(b1.getString(i))) {
System.out.println(i + " = " + a1.getString(i) + " = " + b1.getString(i))
}
}
It didn't print anything. In other words, there is no difference.
I can't tell why c.count() is returning 600,000 like that.
scala apache-spark
I'm running spark-shell to compare 2 csv files. Each file has the same number of columns and all have 600,000 rows. I'm expecting the 2 files have all the same rows. Here is my script.
val a =
spark
.read
.option("header", "true")
.option("delimiter", "|")
.csv("/tmp/1.csv")
.drop("unwanted_column").
.cache()
val b =
spark
.read
.option("header", "true")
.option("delimiter", "|")
.csv("/tmp/2.csv")
.drop("unwanted_column")
.cache()
val c = a.join(b, Seq("id", "year"), "left_outer").cache()
c.count() // this is returning 600,000
Now I'm trying to find out the difference by randomly picking a line with the same id and year in 2 datasets a and b.
val a1 = a.filter(i => i.get(0).equals("1") && i.get(1).equals("2016")).first()
val b1 = b.filter(i => i.get(0).equals("1") && i.get(1).equals("2016")).first()
Then I try to compare each column in a1 and b1.
(0 to (a1.length -1)).foreach { i =>
if (a1.getString(i) != null && !a1.getString(i).equals(b1.getString(i))) {
System.out.println(i + " = " + a1.getString(i) + " = " + b1.getString(i))
}
}
It didn't print anything. In other words, there is no difference.
I can't tell why c.count() is returning 600,000 like that.
scala apache-spark
scala apache-spark
edited Nov 22 '18 at 2:46


Luis Miguel Mejía Suárez
2,6361822
2,6361822
asked Nov 22 '18 at 0:10
TrongBangTrongBang
326313
326313
Hi @TrongBang, can you be more specific about why it seems like a problem for you? I mean, both lines are equals - why that should imply a problem with thejoin
?
– Luis Miguel Mejía Suárez
Nov 22 '18 at 0:37
1
sorry man, I was confused. Bad morning. Need some more coffee. :)
– TrongBang
Nov 22 '18 at 0:58
add a comment |
Hi @TrongBang, can you be more specific about why it seems like a problem for you? I mean, both lines are equals - why that should imply a problem with thejoin
?
– Luis Miguel Mejía Suárez
Nov 22 '18 at 0:37
1
sorry man, I was confused. Bad morning. Need some more coffee. :)
– TrongBang
Nov 22 '18 at 0:58
Hi @TrongBang, can you be more specific about why it seems like a problem for you? I mean, both lines are equals - why that should imply a problem with the
join
?– Luis Miguel Mejía Suárez
Nov 22 '18 at 0:37
Hi @TrongBang, can you be more specific about why it seems like a problem for you? I mean, both lines are equals - why that should imply a problem with the
join
?– Luis Miguel Mejía Suárez
Nov 22 '18 at 0:37
1
1
sorry man, I was confused. Bad morning. Need some more coffee. :)
– TrongBang
Nov 22 '18 at 0:58
sorry man, I was confused. Bad morning. Need some more coffee. :)
– TrongBang
Nov 22 '18 at 0:58
add a comment |
1 Answer
1
active
oldest
votes
Sorry guys, I guess it was my fault. Actually I was after a.subtract(b). My purpose is to find out the difference between a and b. I was confused about left_outer join.
add a comment |
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Sorry guys, I guess it was my fault. Actually I was after a.subtract(b). My purpose is to find out the difference between a and b. I was confused about left_outer join.
add a comment |
Sorry guys, I guess it was my fault. Actually I was after a.subtract(b). My purpose is to find out the difference between a and b. I was confused about left_outer join.
add a comment |
Sorry guys, I guess it was my fault. Actually I was after a.subtract(b). My purpose is to find out the difference between a and b. I was confused about left_outer join.
Sorry guys, I guess it was my fault. Actually I was after a.subtract(b). My purpose is to find out the difference between a and b. I was confused about left_outer join.
answered Nov 22 '18 at 0:57
TrongBangTrongBang
326313
326313
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Hi @TrongBang, can you be more specific about why it seems like a problem for you? I mean, both lines are equals - why that should imply a problem with the
join
?– Luis Miguel Mejía Suárez
Nov 22 '18 at 0:37
1
sorry man, I was confused. Bad morning. Need some more coffee. :)
– TrongBang
Nov 22 '18 at 0:58