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From ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com>
Subject Spark Job Failed (Executor Lost & then FS closed)
Date Thu, 06 Aug 2015 21:50:00 GMT
Code:
import java.text.SimpleDateFormat
import java.util.Calendar
import java.sql.Date
import org.apache.spark.storage.StorageLevel

def extract(array: Array[String], index: Integer) = {
  if (index < array.length) {
    array(index).replaceAll("\"", "")
  } else {
    ""
  }
}


case class GuidSess(
  guid: String,
  sessionKey: String,
  sessionStartDate: String,
  siteId: String,
  eventCount: String,
  browser: String,
  browserVersion: String,
  operatingSystem: String,
  experimentChannel: String,
  deviceName: String)

val rowStructText =
sc.textFile("/user/zeppelin/guidsess/2015/08/05/part-m-00001.gz")
val guidSessRDD = rowStructText.filter(s => s.length != 1).map(s =>
s.split(",")).map(
  {
    s =>
      GuidSess(extract(s, 0),
        extract(s, 1),
        extract(s, 2),
        extract(s, 3),
        extract(s, 4),
        extract(s, 5),
        extract(s, 6),
        extract(s, 7),
        extract(s, 8),
        extract(s, 9))
  })

val guidSessDF = guidSessRDD.toDF()
guidSessDF.registerTempTable("guidsess")

Once the temp table is created, i wrote this query

select siteid, count(distinct guid) total_visitor,
count(sessionKey) as total_visits
from guidsess
group by siteid

*Metrics:*

Data Size: 170 MB
Spark Version: 1.3.1
YARN: 2.7.x



Timeline:
There is 1 Job, 2 stages with 1 task each.

*1st Stage : mapPartitions*
[image: Inline image 1]

1st Stage: Task 1 started to fail. A second attempt started for 1st task of
first Stage. The first attempt failed "Executor LOST"
when i go to YARN resource manager and go to that particular host, i see
that its running fine.

*Attempt #1*
[image: Inline image 2]

*Attempt #2* Executor LOST AGAIN
[image: Inline image 3]
*Attempt 3&4*

*[image: Inline image 4]*



*2nd Stage runJob : SKIPPED*

*[image: Inline image 5]*

Any suggestions ?


-- 
Deepak

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