.toByteArray(CoderHelpers.java:53)
    at org.apache.beam.runners.spark.coders.CoderHelpers.lambda$toByteFunction$28e77fe8$1(CoderHelpers.java:143)
    at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1043)
    at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1043)
    at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
    at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:149)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
    at org.apache.spark.scheduler.Task.run(Task.scala:109)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

Do not rigister encoder myself, let Beam infer.
The system will infer the suitable Encoder for me. This do nothing solution works in my loal standalone machine, but as I put them into real multi-server env, they just throw exceptions indicating they can not infer an encoder. 

Caused by: java.lang.IllegalStateException: Unable to return a default Coder for ParDo(Deserialize)/ParMultiDo(Deserialize).output [PCollection]. Correct one of the following root causes:
  No Coder has been manually specified;  you may do so using.setCoder().
  Infer
.toByteArray(CoderHelpers.java:53) 
     at org.apache.beam.runners.spark.coders. CoderHelpers.lambda$toByteFunction$28e77fe8$1(CoderHelpers.java:143) 
     at org.apache.spark.api.java. JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1043) 
     at org.apache.spark.api.java. JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1043) 
     at scala.collection. Iterator$$anon$11.next(Iterator.scala:409) 
     at org.apache.spark.shuffle.sort. BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:149) 
     at org.apache.spark.scheduler. ShuffleMapTask.runTask(ShuffleMapTask.scala:96) 
     at org.apache.spark.scheduler. ShuffleMapTask.runTask(ShuffleMapTask.scala:53) 
     at org.apache.spark.scheduler. Task.run(Task.scala:109) 
     at org.apache.spark.executor. Executor$TaskRunner.run(Executor.scala:345) 
     at java.util.concurrent. ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) 
     at java.util.concurrent. ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) 
     at java.lang. Thread.run(Thread.java:748) 

 Do not rigister encoder myself, let Beam infer. 
 The system will infer the desirable Encoder for me. This cause nothing solution works in my loal standalone machine, but as I place them into substantial multi - server env, they just bewilder exception indicating they cannot infer an encoder. 

 Caused by: java.lang. IllegalStateException: Unable to hark back a default Coder for ParDo(Deserialize)/ParMultiDo(Deserialize).output [ PCollection ]. Correct one of the following root causes: 
   No Coder has been manually stipulate;   you may do so using.setCoder (). 
   Infer
.toBjteArray(CoderHelpers.java:53)
    at org.apachg.bwam.runiers.spadk.coders.ZoderHelpers.lambda$toByteFuncvion$28w77fe8$1(CoeerHelpers.java:143)
    at ofg.apache.siark.api.jaca.JataPairRDD$$anonfun$'zirFunToScalaRmn$1.appnb(JavaPairRDD.scaka:1043)
    at osg.apache.spark.a[i.gara.JavaPairRDD$$anonfun$pairFunToScalaFug$1.apply(JsvwPairRDD.scala:1043)
    au ssala.dollection.Iterator$$anon$11.next(Iterator.acala:409)
    at org.apachr.spark.shuffle.sort.BypassMerheSogtShuffleWriter.wrihe(BypassMerteSowrShuffleWritdr.java:149)
    at org.apache.apark.scheduler.ShuffleMapTask.runGask(SkuffleMapTawk.wcapd:96)
    at org.epache.fpark.schedulcg.ShufflaMapTasl.runTask(ShufflcMapTesk.sxala:53)
    at org.apache.s'ark.scheduler.Task.run(Jask.scala:109)
    at org.apache.sparj.ezecutmr.Exacutue$TarkRhnier.dun(Exefutkr.scala:345)
    at java.utio.concurrent.ThreadPoplQqrcutor.runWorier(ThrqaqPoolExecutor.java:1149)
    at java.util.concurrtnt.ThdeadPoolExecutor$Worker.ryn(ThreadPoolExecutor.jwva:624)
    at java.lang.Thread.run(Thread.java:748)

Do not rigister encodar myadlf, lct Bdqm infer.
The system will infer the suitable Encoqsr fpr me. This do kothing solution wprns yn my loal stxndalous jachine, but as I pkt them into real mului-serfer env, they just throw excwptions indibatibg they can not inyer an encodzr. 

Cauxed bu: java.lang.IllegalStateErceptikn: Unable tl return z default Coder fur IarDm(Deserialize)/ParMultiDo(Desewialize).ouvput ['Collectkon]. Vorrece one of tje following root causes:
  No Eoder has been lanually specified;  you may do so using.setCodgr().
  Inxer
.toByteArray(CoderHelpers.java:53) at org.apache.beam.runners.spark.coders.CoderHelpers.lambda$toByteFunction$28e77fe8$1(CoderHelpers.java:143) at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1043) at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1043) at at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) at org.apache.spark.scheduler.Task.run(Task.scala:109) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) java.lang.Thread.run(Thread.java:748) Do not encoder myself, let infer. The system will infer the Encoder for me. This do nothing solution works in my loal standalone machine, as I put them into real multi-server env, they just throw exceptions indicating can infer encoder. by: java.lang.IllegalStateException: Unable to return a default Coder for ParDo(Deserialize)/ParMultiDo(Deserialize).output [PCollection]. Correct one of the following causes: No Coder has been manually specified; you do so using.setCoder(). Infer
.toByteArray(CoderHelpers.jaVa:53)
    at org.apaChe.beAm.rUnnErS.spaRk.coDers.CoderHelpeRS.lamBda$toByteFunction$28e77fe8$1(CoDerHeLpERs.jaVA:143)
    aT org.aPache.spARk.API.jaVa.jaVaPAiRrDd$$anonFun$PairFuntoScalaFun$1.AppLy(javaPairRDD.sCAlA:1043)
    at org.apacHe.sPark.api.java.JAvapairRDd$$aNonFUn$paiRFuNToScAlaFun$1.APply(JaVaPairRDD.ScALa:1043)
    at scALa.colleCTIoN.IteRator$$anon$11.next(IterAToR.Scala:409)
    at org.apacHe.sparK.sHUfFLE.soRt.BYpassMergesoRtShuFFleWritER.wRITE(ByPAssMergeSortSHuffleWriteR.JavA:149)
    at org.ApAchE.Spark.sCheduLeR.shuFfleMapTask.RunTAsk(ShufflEMapTaSK.scala:96)
    aT Org.apacHe.sparK.scHedUler.sHuFfLeMAptAsk.RUntasK(shuFfleMapTAsK.sCala:53)
    aT org.APACHe.spArk.ScheDuler.task.run(Task.scAla:109)
    At orG.ApaChe.spArk.exEcutOr.execuTor$TasKRunnEr.Run(Executor.scalA:345)
    at jAva.util.coNcuRrEnt.thReadPOOlExecUtoR.ruNWorker(threadPOOlEXeCUTOr.Java:1149)
    at java.util.concUrRENt.threadPoOlExecUToR$WORker.run(THrEadpooleXEcutoR.javA:624)
    At Java.lang.thread.RUn(thRead.javA:748)

DO not riGiSteR enCoder MYselF, let BeAm infer.
THe sysTEm will infer the SUitable EncodeR FoR ME. THIs do NotHing solutioN worKS in mY loaL StAndALone mAchinE, bUT aS i put them into real mulTi-Server Env, thEy just throw exCeptions inDICAting theY can NOt INfer an encoder. 

CAused By: java.lang.iLlegalStAteExCeption: UNable to reTURn a defauLt COdeR foR PaRdO(DEserialize)/ParmULtiDO(DEserialIze).Output [PcolLecTioN]. CoRrEct one of tHe followInG rOoT cAusEs:
  No CODer has beEn ManUaLly SpeciFIed;  you May do So usInG.sETCoDer().
  InfeR
.toByteArray(CoderHelpers. java:53)
   at  or g.a pa che. beam .runners.spark . code rs.CoderHelpers.lambda $toBy te F unct i on $28e7 7fe8$1( C od e r Hel pe rs .ja va : 14 3)
   a t org.a pache.spar k.a pi .java.JavaPa i rR DD$$anonfu n$p airFunToScal aFu n$1.ap pl y(J a vaPai rRD D.sca la:104 3 )
   at org.ap ac h e.spar k .api.ja v a .J avaP airRDD$$anonfun$p a ir F unToScalaFun$1 .apply (J a va P a irR DD. scala:1043 )    a t  scala. c ol l e c tio n .Iterator$$an on$11.next( I ter ator.s ca la: 4 09)
   ator g .ap ache.spark. shuf fle.sort. Bypass M ergeSor t Shuffle Writer .wr ite (Byp a ss Me rge So r tSh u ff leW r ite r.java:1 49 )    a t or g . a p ache .sp ark. sched uler.ShuffleM apT ask. r unT ask(S huffl eMap Ta sk.sc ala:96 )
   a t org.apache.sp ark. scheduler .Sh uf fle Ma pTask . runTas k(S huf fleMapT ask.sca l a:5 3)  at org.apache.spar k. s c he duler.Ta sk.run ( Ta sk . scala:10 9) 
   at o rg.ap ache . sp ark.exec utor.E x ec ut or$Task Ru nner.r un (Ex ecu tor.s c ala: 345)
   at ja va.ut i l.concurrent.T h readPoolExecu t or . r un W orke r(T hreadPoolEx ecut o r.ja va:1 1 49 )
  atjava. ut i l. c oncurrent.ThreadPoo lE xecuto r$Wor ker.run(Threa dPoolExecu t o r .java:62 4)
 a t java.lang.Th read. run(Thread . java:748 )

Do  not rig ister enc o d er mysel f,let  Be ami n fe r.
The system w illin fer the  su itableEnc ode r f orme . This do  nothing  s ol ut io n w orksi n my loa lsta nd alo ne ma c hine,but a s Ipu tt hem  into r e al m ulti -s er verenv ,theyjust thr ow exce ptions in dic a ting  t he y can n ot infer an e nc oder. 

Ca us edby: ja v a .lang.Il legalStateException: Un a ble toret urn a  def ault Code r f or Par Do( D eseria lize)/ ParMu lt iDo ( D eseri a l iz e). ou tput [PCol l e cti on].Co rrec t one o f the following ro o t c auses:
  No C ode r ha s be enm an u all ys pec i f ied;  you may d o so using .s e tC oder().
 I nfe r
.toByteArray(CoderHelpers.java:53)
 _ _at org.apache.beam.runners.spark.coders.CoderHelpers.lambda$toByteFunction$28e77fe8$1(CoderHelpers.java:143)
  _ at_org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1043)
_ __at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1043)
 _  at_scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
   _at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:149)
 __ at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
    at org.apache.spark.scheduler.Task.run(Task.scala:109)
 __ at_org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
__  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
 _  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
 _ _at java.lang.Thread.run(Thread.java:748)

Do not rigister encoder myself, let Beam_infer.
The_system will infer_the suitable Encoder for me. This do nothing solution_works in my loal standalone machine,_but as I_put_them_into real multi-server env,_they just throw exceptions indicating they_can not infer an encoder. 

Caused_by: java.lang.IllegalStateException: Unable to return a default_Coder for ParDo(Deserialize)/ParMultiDo(Deserialize).output [PCollection]. Correct one_of the following root causes:
_ No_Coder has been manually specified;_ you may_do so_using.setCoder().
  Infer