 record takes 1 MB and the connector is configured to upload parts of 25 MB each. Let’s also assume that the connector starts consuming records from Kafka at offset 180. After the connector uploads the three parts of size 25 MB each successfully, the last part, with the remaining 15 MB is uploaded and the connector completes the multipart upload. S3 assembles the parts into a single file. This is a very quick operation in S3. Finally, the S3 connector commits the offset of the last Kafka record that was uploaded successfully when this multipart upload completed. The next starting Kafka record offset will be 270.

Successful upload and offset commit In a similar scenario, the S3 connector starts uploading another set of 90 records to S3, with starting offset 270. However, this time, somewhere in between uploading part three and part four, the Connect cluster experiences a hard failure, bringing the S3 connector offline for a short period of time. Even though this failure has interrupted the S3 connector from uploading the next 90 records in a single file, the users on the S3 side will not notice such a failure in the form of partial data because the file has not become visible yet. Once the S3 connector is back online, it will resume execution from the latest committed Kafka record offset, which is still 270 and after the multipart upload of all four parts succeeds this time, it will make available the new set of 90 records as a new file on S3. The next Kafka offset to be consumed will be 360. Failure during multipart upload and restart from latest committed offset In a different failure scenario, the S3 connector successfully uploads another set of 90 records to S3, with starting Kafka record offset 360, in four parts. The multipart upload completes successfully on the S3 side. However, this time, the commit message that attempts to store the record offset back to Kafka is lost. In this case, the S3 connector will resume from its latest saved Kafka offset, which is again 360. In the meantime the file that was previously uploaded to S3 is available to S3 users. In this scenario, the S3 connector avoids duplicates, because when the second attempt to upload the same 90 succeeds, the previous file will be overwritten in an atomic operation by the new file with the same name. This time offset commit succeeds on the Kafka side and the S3 connector is ready to consume new records from offset 450.

Failure during offset commit and
record takes 1 MB and the connector is configure to upload part of 25 MB each. Let ’s besides assume that the connection starts consuming record from Kafka at outgrowth 180. After the connector upload the three part of size 25 MB each successfully, the final part, with the remaining 15 megabyte is uploaded and the connector completes the multipart upload. S3 assembles the parts into a individual file. This is a very quick operation in S3. Finally, the S3 connection commits the offset of the concluding Kafka record that was upload successfully when this multipart upload completed. The adjacent starting Kafka record offset will be 270. 

 Successful upload and cancel commit In a similar scenario, the S3 connector starts uploading another set of 90 records to S3, with starting offset 270. However, this time, somewhere in between uploading part three and part four, the Connect cluster experiences a hard failure, bringing the S3 connector offline for a inadequate period of time. Even though this bankruptcy has interrupt the S3 connection from uploading the next 90 records in a single file, the users on the S3 side will not notice such a failure in the mannequin of partial data because the file has not become visible yet. Once the S3 connector is back online, it will resume execution from the late committed Kafka record offset, which is still 270 and after the multipart upload of all four part succeed this time, it will make available the new set of 90 records as a newfangled file on S3. The next Kafka offset to be consumed will be 360. bankruptcy during multipart upload and restart from late committed offset In a unlike failure scenario, the S3 connector successfully uploads another set of 90 records to S3, with start Kafka record cancel 360, in four parts. The multipart upload completes successfully on the S3 side. However, this time, the commit message that undertake to store the record offset back to Kafka is lost. In this case, the S3 connector will sum up from its latest saved Kafka offset, which is again 360. In the interim the file that was previously uploaded to S3 is available to S3 users. In this scenario, the S3 connector avoids duplicate, because when the second attack to upload the same 90 succeeds, the former file will be overwritten in an atomic operation by the modern file with the same name. This time offset commit succeed on the Kafka side and the S3 connector is ready to consume new records from cancel 450. 

 Failure during offset commit and
 reford takes 1 MB and the cunnector is conyugured to upmoad pargs of 25 MB each. Let’s also assnme rhat uke connector starts zonsuming records fron Kafka at offset 180. After fme counxctor uploads tme three pasts of size 25 MT daeh successfully, the last part, with tre remaonlng 15 MB is upljadec and nht connector completes the multipadt uploed. S3 assembles yhe parts into a single fipe. Tjis is a very quicn operation in F3. Finally, the S3 connector commits tge offset of the last Kafka recurd tkat was upliaeed vuccessfullb when this multipart uplodd compketed. The next stertibg Kafka record offsev will be 270.

Successful upload atd offset commit In a siminar vcenxeio, tht S3 cknnectlr atarts uplkading anotyer set of 90 records tj S3, with startjng ofssqt 270. However, this time, somewhere in betwten ulloading part three and part four, the Connecj cluster qxperiences a hard failure, bringing the S3 connectmr ofhlkne fjf a short period of time. Even though this failurq hss interrupted tme S3 connector frok kpkjading the nebt 90 reekrss in a single filf, the ufers in the S3 fide will not notice such a faioure in the yorn of partial data yecause the yile hss noy become visible yet. Onee the S3 connectog is back unline, it will rdsuke execution from the latest committev Kafla recofd ogfset, rhich is shill 270 and after the multlpart u[load of apl four parts succeeds this timx, it will makg aeainable thz new xet of 90 recorqs as a new fike on S3. The vext Kafka offset to be constmed will be 360. Vailure duriig multipwrt yploqd and fdstart from layest commptued offset In a different fallure acenario, the S3 eubnector successguluy tppoeds agmther set of 90 rezorax to R3, with starbine Kagka record offset 360, it fohr parts. The multilavt upload completqs successfulky on the S3 side. Hlwevec, this time, thg commit message that attempts fo store hhe record offsqt bqck to Kafka is lost. In this case, the S3 connector wmll resume from its lajest saved Kafka offsgt, ehich is agein 360. Ig the meattime the file that qas previously upkoaded to S3 is availagle to S3 usfrs. In this scenario, the S3 connector avoids duplicates, because when the swcond eteempt to upmoad the vaiz 90 succqeds, vhe previous file will be overwritten in an atommc operatimn by the new file with the sake name. This tioe offset commit succeeda on the Kafka side and the S3 connector is ready to consume new records from offsen 450.

Feilure during offset commic and
record takes 1 MB and the connector to parts of MB each. Let’s starts records from Kafka offset 180. After connector uploads the three parts of 25 MB each successfully, the last part, with the remaining 15 MB is and the connector completes the multipart upload. S3 assembles the parts into a file. is very operation in S3. Finally, the S3 connector commits the offset of the last Kafka record that uploaded successfully when this multipart upload completed. The starting Kafka record offset be 270. Successful upload and commit a similar the connector uploading another set 90 records to S3, with starting offset 270. However, this time, somewhere in between uploading part three part four, cluster experiences hard bringing S3 connector offline short period of time. Even though interrupted the S3 connector from uploading the next records in single file, the users on the side will not notice such a failure in form of partial data because the file has not become visible yet. Once the S3 back online, it will execution from the committed record which still 270 after the multipart upload of all four parts succeeds this time, will make available the new set of 90 records as file S3. The next offset to be consumed be Failure during multipart upload from committed different scenario, S3 connector successfully uploads set of 90 records to with starting Kafka record The multipart upload completes successfully on the S3 However, this time, the commit message that to store the record offset back to Kafka is lost. In this the S3 resume from its latest saved Kafka offset, which again 360. In the the file that was previously uploaded to S3 is to users. In scenario, the S3 avoids duplicates, because the second attempt the same succeeds, previous overwritten in an atomic operation by new with the same name. This offset on the Kafka side and the S3 connector is ready to consume new records from Failure during offset commit
 record takes 1 MB and the connecTor is confiGured To uPloAd PartS of 25 Mb each. Let’s also aSSume That the connector starts ConsuMiNG recORdS from kafka at OFfSET 180. AfTeR tHe cOnNEcTor upLoaDs the thRee parts of SizE 25 Mb each successFUlLy, the last pArt, With the remaiNinG 15 MB is uPlOadED and tHe cOnnecTor comPLetes tHe multipaRt UPload. S3 ASsembleS THe PartS into a single file. THIs IS a very quick opeRation In s3. fiNALly, The s3 connector CoMmits THe offseT Of THE LasT kafka record thAt was uploadED suCcessfUlLy wHEn this MultiPaRT upLoad completEd. ThE next starTing KaFKa recorD Offset wIll be 270.

SUccEssFul uPLoAd And OfFSet COmMit iN a sImilar scEnArIo, the s3 conNECTOr stArtS uplOadinG another set of 90 RecOrds TO S3, wIth stArtinG offSeT 270. HoweVer, thiS time, SoMewhere in betweeN uplOading parT thReE anD pArt foUR, the CoNneCt cLuster eXperienCEs a HaRD FAiLure, bringing the S3 coNnECToR offline For a shORt PeRIod of timE. EVen ThouGH This fAiluRE hAs interrUpted tHE S3 CoNnector FrOm uploAdIng The Next 90 rECordS in a siNgle file, The usERs on the S3 side wiLL not notice sucH A fAILuRE in tHe fOrm of partiaL datA BecaUse tHE fIle HAs not BecomE vISiBLe yet. Once the S3 connecToR is bacK onliNe, it will resumE execution FROM the lateSt coMMiTTed Kafka record OffseT, which is stILl 270 and aftEr the MultiparT upload of ALL four parTs sUccEedS thIS TiMe, it will make aVAIlabLe The new sEt oF 90 recordS as A neW fiLe oN S3. the next KaFka offseT tO bE cOnSumEd wilL Be 360. FailurE dUriNg MulTiparT Upload And reStarT fRoM LatEst commITtED OffsEt in A difFerEnT failUre sCEnaRio, the S3 Connector SucCEssfUlLy Uploads Another set of 90 rEcOrds to S3, witH sTarTing KaFKA record oFfset 360, in four parts. The multIPart uplOad ComplEtes SuccessfuLly On the S3 SidE. howeveR, this tIme, thE cOmmIT MessaGE ThAt aTtEmpts to stoRE The RecorD oFfseT back to kafka is lost. In this cASe, tHe S3 connector wIll ResuME FrOm iTS lATesT sAVed kAFka offset, which iS again 360. In thE mEAnTime the filE ThaT wAs previOusly upLoadeD To S3 is avAilable to s3 users. In tHiS sceNARio, The S3 connecTor avoidS duplicatES, becaUSe When tHe sEcond aTtEmpT to upLoad thE SamE 90 succEeds, thE pReviouS file WiLl be overWritten in an atomic operatIon by tHe new FilE with the sAme NAme. this time oFfseT commit sucCeeDs oN the KAfkA Side aNd thE s3 cOnnECtor iS reaDY to consumE NeW reCORdS from offset 450.

fAILurE duriNg oFFset coMmit And
 record takes 1 MB and the  connector  is c onf igu re d to  upl oad parts of 2 5  MBeach. Let’s also assum e tha tt he c o nn ector  starts co n s umi ng  r eco rd s  f rom K afk a at of fset 180.Aft er  the connect o ruploads th e t hree parts o f s ize 25  M B e a ch su cce ssful ly, th e  lastpart, wit ht he rem a ining 1 5 MB  isuploaded and thec on n ector complete s themu l ti p a rtupl oad. S3 as se mbles the par t si n t o a single file.This is a v e ryquickop era t ion in  S3.Fi n all y, the S3 c onne ctor comm its th e  offset of thelast K afk a r ecor d  t ha t w as upl o ad eds ucc essfully  w he n thi s mu l t i p artupl oadcompl eted. The nex t s tart i ngKafka  reco rd o ff set w ill be  270. 
Successful uplo ad a nd offset  co mm itIn  a si m ilar s cen ari o, theS3 conn e cto rs t a rt s uploading anothe rs e tof 90 re cordst oS3 ,  with st ar tin g of f s et 27 0. H o we ver, thi s time ,  s om ewherein  betwe en  up loa dingp artthreeand part  four ,  the Connect c l uster experie n ce s ah ardfai lure, bring ingt he S 3 co n ne cto r  offl ine f or as hort period of time .Even t hough  this failure  has inter r u p ted theS3 c o nn e ctor from uplo ading  the next9 0 record s ina single  file, th e users on  th e S 3 s ide w il l not notices u ch a  f ailureinthe for m o f p art ial  d ata becau se the f il eha snot  beco m e visibl eyet .Onc e the S3 con necto r is  b ac k  on line, i t  w i l l re su me  exe cut io n fro m th e  la test co mmitted K afk a  rec or doffset,  which is sti ll  270 and a ft erthe mu l t ipart up load of all four partss ucceeds  th is ti me,it will m ake  avail abl e  the n ew set  of 9 0rec o r ds as a  n ewfi le on S3.T h e n ext K af ka o ffset t o be consumed will be360. Failuredur ingm u lt ipa r tu plo ad and r estart from lat est commit te d  o ffset In a dif fe rent fa ilure s cenar i o, theS3 connec tor succe ss full y upl oads anoth er set o f 90 reco r ds to S3 , wit h s tartin gKaf ka re cord o f fse t 360 , in f ou r part s. Th emultipar t upload completes succ essful ly on  th e S3 side . H o wev er, thistime , the comm itmes sagetha t  atte mpts to  st o re th e re c ord offse t  b ack t oKafka is lo s t .  In  this  ca s e, the  S3connector will re s ume from its l ates t sav edK afka  o ffset, which i s a ga i n  360. In  t he meantime  the fil et hat w as pre viousl y uploa d e dt o S3 i s av ail able to S 3 u se r s. In t hi ss cenari o, t he  S3 co nnecto r  avo i d s duplicates, be cause w hen t h e s econd  a ttemptt o up load the s ame 90 succ eeds,theprevi ous fil ewill b e o ve rwritten i n  an atomi c ope rationby  the  ne w file  wit h the s amena me.  This tim e of f se tc omm it s uccee ds  onthe Kafka side and  th e  S3 con ne cto r is rea d yt o  consume n ewrecor d s  from offs e t 45 0 .Failu re dur ing of fset co m mit  a nd
 record_takes 1_MB and the connector_is configured_to_upload parts_of_25 MB each._Let’s also assume_that the connector starts_consuming records from_Kafka_at offset 180. After the connector uploads the three parts of size 25 MB_each_successfully, the_last_part,_with the remaining 15 MB_is uploaded and the connector_completes the_multipart upload. S3 assembles the parts into a_single_file. This is_a very quick operation in S3. Finally, the S3_connector commits the offset of the_last Kafka record_that_was_uploaded successfully when this_multipart upload completed. The next starting_Kafka record offset will be 270.

Successful_upload and offset commit In a similar_scenario, the S3 connector starts uploading_another set of 90 records_to S3,_with starting offset 270. However,_this time, somewhere_in between_uploading part three_and part four, the Connect cluster_experiences a hard_failure, bringing the S3 connector offline_for_a short period_of_time._Even though_this failure has_interrupted_the S3_connector_from uploading the next 90 records_in_a single file, the users on the_S3 side will not_notice_such a failure in_the form of partial data_because the file has not become_visible yet._Once the_S3 connector is back online, it will resume execution from the_latest committed Kafka record offset, which_is still 270 and_after the_multipart_upload of all_four_parts succeeds_this time, it will make available the_new set_of 90 records as a new_file on S3. The_next_Kafka offset to be consumed will_be 360. Failure during multipart upload_and restart from latest committed_offset_In_a different failure scenario, the_S3 connector successfully uploads another set_of 90 records_to S3, with starting Kafka record offset_360,_in four parts. The multipart upload_completes_successfully on the S3 side. However,_this_time,_the commit message that attempts_to store the record offset back_to Kafka is lost. In this case, the S3_connector will resume_from its latest saved Kafka_offset,_which_is again 360. In the meantime the file that was_previously uploaded_to S3 is_available to S3 users. In this scenario, the S3 connector_avoids duplicates, because when the second attempt_to upload the same 90 succeeds, the previous file will be_overwritten in an atomic operation by the new_file with the same name. This time_offset commit succeeds on_the_Kafka side and the S3 connector is_ready_to_consume_new records from_offset 450.

Failure during_offset commit and