Apache Spark CSV not parsing header row with option(“headers”, true) included
I see several questions related to this, but the solutions are all to use the headers, true option. However, I have a very basic csv file that I can demonstrate that this isn't working on. I'm using Spark 2.4.0 (started on 2.3, but upgraded to see if there were any old bugs).
Dataset<Row> df = spark.read().option("headers", true)
.format("csv")
.load("src/main/resources/students.csv");
//csv file:
studentId,studentName,State,GPA,favoritBookTitle,working
1100,Royce Piche,NJ,1.5,To Kill a Mockingbird,TRUE
1120,Alexis Morriss,NJ,3.0,Pride and Prejudice,FALSE
//output
+---------+--------------+-----+---+--------------------+-------+
| _c0| _c1| _c2|_c3| _c4| _c5|
+---------+--------------+-----+---+--------------------+-------+
|studentid| studentname|State|GPA| favoritbooktitle|working|
| 1100| Royce Piche| NJ|1.5|To Kill a Mocking...| TRUE|
| 1120|Alexis Morriss| NJ|3.0| Pride and Prejudice| FALSE|
I've tried a number of different ways to read the csv and or force the headers, including invoking the csv mehtod vs loading. The javadocs and other info indicate that this should work. Am I missing or overlooking something? Or is there some other way to do this?
java apache-spark apache-spark-sql
asked Nov 21 '18 at 17:47
Brad EllisBrad Ellis
91212
add a comment |
I see several questions related to this, but the solutions are all to use the headers, true option. However, I have a very basic csv file that I can demonstrate that this isn't working on. I'm using Spark 2.4.0 (started on 2.3, but upgraded to see if there were any old bugs).
Dataset<Row> df = spark.read().option("headers", true)
.format("csv")
.load("src/main/resources/students.csv");
//csv file:
studentId,studentName,State,GPA,favoritBookTitle,working
1100,Royce Piche,NJ,1.5,To Kill a Mockingbird,TRUE
1120,Alexis Morriss,NJ,3.0,Pride and Prejudice,FALSE
//output
+---------+--------------+-----+---+--------------------+-------+
| _c0| _c1| _c2|_c3| _c4| _c5|
+---------+--------------+-----+---+--------------------+-------+
|studentid| studentname|State|GPA| favoritbooktitle|working|
| 1100| Royce Piche| NJ|1.5|To Kill a Mocking...| TRUE|
| 1120|Alexis Morriss| NJ|3.0| Pride and Prejudice| FALSE|
I've tried a number of different ways to read the csv and or force the headers, including invoking the csv mehtod vs loading. The javadocs and other info indicate that this should work. Am I missing or overlooking something? Or is there some other way to do this?
java apache-spark apache-spark-sql
asked Nov 21 '18 at 17:47
Brad EllisBrad Ellis
91212
2
Typo - the option isheadernotheaders.
– user6910411
Nov 21 '18 at 17:55
2
:facepalm: Thank you!
– Brad Ellis
Nov 21 '18 at 18:01
add a comment |
I see several questions related to this, but the solutions are all to use the headers, true option. However, I have a very basic csv file that I can demonstrate that this isn't working on. I'm using Spark 2.4.0 (started on 2.3, but upgraded to see if there were any old bugs).
Dataset<Row> df = spark.read().option("headers", true)
.format("csv")
.load("src/main/resources/students.csv");
//csv file:
studentId,studentName,State,GPA,favoritBookTitle,working
1100,Royce Piche,NJ,1.5,To Kill a Mockingbird,TRUE
1120,Alexis Morriss,NJ,3.0,Pride and Prejudice,FALSE
//output
+---------+--------------+-----+---+--------------------+-------+
| _c0| _c1| _c2|_c3| _c4| _c5|
+---------+--------------+-----+---+--------------------+-------+
|studentid| studentname|State|GPA| favoritbooktitle|working|
| 1100| Royce Piche| NJ|1.5|To Kill a Mocking...| TRUE|
| 1120|Alexis Morriss| NJ|3.0| Pride and Prejudice| FALSE|
I've tried a number of different ways to read the csv and or force the headers, including invoking the csv mehtod vs loading. The javadocs and other info indicate that this should work. Am I missing or overlooking something? Or is there some other way to do this?
java apache-spark apache-spark-sql
asked Nov 21 '18 at 17:47
Brad EllisBrad Ellis
91212
I see several questions related to this, but the solutions are all to use the headers, true option. However, I have a very basic csv file that I can demonstrate that this isn't working on. I'm using Spark 2.4.0 (started on 2.3, but upgraded to see if there were any old bugs).
Dataset<Row> df = spark.read().option("headers", true)
.format("csv")
.load("src/main/resources/students.csv");
//csv file:
studentId,studentName,State,GPA,favoritBookTitle,working
1100,Royce Piche,NJ,1.5,To Kill a Mockingbird,TRUE
1120,Alexis Morriss,NJ,3.0,Pride and Prejudice,FALSE
//output
+---------+--------------+-----+---+--------------------+-------+
| _c0| _c1| _c2|_c3| _c4| _c5|
+---------+--------------+-----+---+--------------------+-------+
|studentid| studentname|State|GPA| favoritbooktitle|working|
| 1100| Royce Piche| NJ|1.5|To Kill a Mocking...| TRUE|
| 1120|Alexis Morriss| NJ|3.0| Pride and Prejudice| FALSE|
I've tried a number of different ways to read the csv and or force the headers, including invoking the csv mehtod vs loading. The javadocs and other info indicate that this should work. Am I missing or overlooking something? Or is there some other way to do this?
java apache-spark apache-spark-sql
java apache-spark apache-spark-sql
asked Nov 21 '18 at 17:47
Brad EllisBrad Ellis
91212
asked Nov 21 '18 at 17:47
Brad EllisBrad Ellis
91212
asked Nov 21 '18 at 17:47
Brad EllisBrad Ellis
91212
asked Nov 21 '18 at 17:47
Brad EllisBrad Ellis
91212
asked Nov 21 '18 at 17:47
Brad EllisBrad Ellis
91212
91212
2
Typo - the option isheadernotheaders.
– user6910411
Nov 21 '18 at 17:55
2
:facepalm: Thank you!
– Brad Ellis
Nov 21 '18 at 18:01
add a comment |
2
Typo - the option isheadernotheaders.
– user6910411
Nov 21 '18 at 17:55
2
:facepalm: Thank you!
– Brad Ellis
Nov 21 '18 at 18:01
2
2
Typo - the option is
header not headers.– user6910411
Nov 21 '18 at 17:55
Typo - the option is
header not headers.– user6910411
Nov 21 '18 at 17:55
2
2
:facepalm: Thank you!
– Brad Ellis
Nov 21 '18 at 18:01
:facepalm: Thank you!
– Brad Ellis
Nov 21 '18 at 18:01
add a comment |
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2
Typo - the option is
headernotheaders.– user6910411
Nov 21 '18 at 17:55
2
:facepalm: Thank you!
– Brad Ellis
Nov 21 '18 at 18:01