Hey Kapil, Fernando
Thanks for your mail.
[1] Fernando, if I don't use an "if" logic inside the "map" then if I have
lines of input data that have less fields than I am expecting I get
ArrayOutOfBounds exception. so the "if" is to safeguard against that.
[2] Kapil, I am sorry I did not clarify. Yes my code "DID NOT" compile saying
that flatMapValues is not defined.
In fact when I used your snippet , the code still does not compile
Error:(36, 57) value flatMapValues is not a member of
org.apache.spark.rdd.RDD[(String, String)] }).filter(pair =>
pair._1.length() > 0).flatMapValues(skus =>
skus.split('\t')).saveAsTextFile("/data/vaers/msfx/reac/" + outFile)
^
My pom.xml looks like this
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>1.2.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.10</artifactId>
<version>1.2.0</version>
</dependency>
[3] To summarize all I want is to convert
SUMMARY=======when a dataset looks like the following
1,red,blue,green2,yellow,violet,pink
I want to output the following and currently not able to
1,red1,blue1,green2,yellow2,violet2,pink
thanks
regards
sanjay
From: Fernando O. <fot...@gmail.com>
To: Kapil Malik <kma...@adobe.com>
Cc: Sanjay Subramanian <sanjaysubraman...@yahoo.com>; "user@spark.apache.org"
<user@spark.apache.org>
Sent: Wednesday, December 31, 2014 6:06 AM
Subject: Re: FlatMapValues
Hi Sanjay,
Doing an if inside a Map sounds like a bad idea, it seems like you actually
want to filter and then apply map
On Wed, Dec 31, 2014 at 9:54 AM, Kapil Malik <kma...@adobe.com> wrote:
Hi Sanjay, I tried running your code on spark shell piece by piece – //
Setupval line1 = “025126,Chills,8.10,Injection site oedema,8.10,Injection site
reaction,8.10,Malaise,8.10,Myalgia,8.10”val line2 =
“025127,Chills,8.10,Injection site oedema,8.10,Injection site
reaction,8.10,Malaise,8.10,Myalgia,8.10”val lines = Array[String](line1, line2)
val r1 = sc.parallelize(lines, 2)// r1 is the original RDD[String] to begin
with val r2 = r1.map(line => line.split(','))// RDD[Array[String]] – so far, so
goodval r3 = r2.map(fields => { if (fields.length >= 11 &&
!fields(0).contains("VAERS_ID")) {
(fields(0),(fields(1)+"\t"+fields(3)+"\t"+fields(5)+"\t"+fields(7)+"\t"+fields(9)))//
Returns a pair (String, String), good } else { ""// Returns a String, bad
} })// RDD[Serializable] – PROBLEM I was not even able to apply flatMapValues
since the filtered RDD passed to it is RDD[Serializable] and not a pair RDD. I
am surprised how your code compiled correctly. The following changes in your
snippet make it work as intended - reacRdd.map(line =>
line.split(',')).map(fields => {
if (fields.length >= 11 && !fields(0).contains("VAERS_ID")) {
(fields(0),(fields(1)+"\t"+fields(3)+"\t"+fields(5)+"\t"+fields(7)+"\t"+fields(9)))
}
else {
("","")
}
}).filter(pair => pair._1.length() > 0).flatMapValues(skus =>
skus.split('\t')).saveAsTextFile("/data/vaers/msfx/reac/" + outFile) Please
note that this too saves lines like (025126,Chills),i.e. with opening and
closing brackets ( and ). If you want to get rid of them, better do another map
operation to map pair to String. Kapil From: Sanjay Subramanian
[mailto:sanjaysubraman...@yahoo.com.INVALID]
Sent: 31 December 2014 13:42
Cc: user@spark.apache.org
Subject: FlatMapValues hey guys My dataset is like this
025126,Chills,8.10,Injection site oedema,8.10,Injection site
reaction,8.10,Malaise,8.10,Myalgia,8.10 Intended output is
==================025126,Chills025126,Injection site oedema025126,Injection
site reaction025126,Malaise025126,Myalgia My code is as follows but the
flatMapValues does not work even after I have created the pair
RDD.************************************************************************reacRdd.map(line
=> line.split(',')).map(fields => {
if (fields.length >= 11 && !fields(0).contains("VAERS_ID")) {
(fields(0),(fields(1)+"\t"+fields(3)+"\t"+fields(5)+"\t"+fields(7)+"\t"+fields(9)))
}
else {
""
}
}).filter(line => line.toString.length() > 0).flatMapValues(skus =>
skus.split('\t')).saveAsTextFile("/data/vaers/msfx/reac/" +
outFile)************************************************************************
thanks sanjay
