 N is different than C, and is not the same column as 
                   in Group1 or Group2 or Group 3)

I am trying to figure out the most efficient way of creating these groupings.  
My initial guess would be to start with an empty Map<someKey,Collection<String>>.
Then loop through the Set<String>, split each String into a uniqueId array and go through the Map looking for someKey which would would tell if that String belongs in the current collection, or goes into a new collection with a different someKey.  Defining what someKey is may be a bit tricky...maybe it would be a underscore separated list of the column numbers which values that have changed since the first String?
Since each String contains a lot of uniqueIds and the Set<String> size can be 10,000 it would seem that this algorithm can get slow quick.
Any suggestions?
Thanks!
UPDATE:::
There are cases where a String can fit into more than 1 group.  If that is the case, it would just be placed into the first available group that meets the criteria.

A:

First I have to say I'm not an algorithm expert.
But maybe you should try taking a look at
1) The Algorithm Design Manual by Steven Skiena - he has many solutions for common problem
2) Using a Tree where letters are the Node-values. Maybe you could somehow try a suffix tree: http://en.wikipedia.org/wiki/Suffix_tree The article says it is popular for many string operations. If you take a look at the "Applications" section in the article it really seems to fit :) And it runs in linear time.
To find the group a string belongs to, you can simply walk along the tree and look up until which degree a string matches and where it doesn't. (My intention)

 Q:

Alternative way to access environment variables in Node.js

I'm trying to store production db and email passwords on environment variables to hide to GitHub users.
I set up my vars using export command on terminal:
$ export DB_PASS=mydbpass
But I can't access via process.env.DB_PASS
I'm not sure this is the correct way. I saw that is possible to access by running:
DB_PASS=mydbpass node server.js
But I'm looking for a more practical way to do this.
N is different than C, and is not the same column as 
                    in Group1 or Group2 or Group 3) 

 I am trying to calculate out the about efficient way of create these grouping.  
 My initial guess would be to start with an empty Map < someKey, Collection < String > >. 
 Then loop through the Set < String >, separate each String into a uniqueId array and belong through the Map looking for someKey which would would state if that String belongs in the current solicitation, or goes into a new collection with a different someKey.   define what someKey is may be a bit crafty... maybe it would be a underscore separated tilt of the column numbers which values that have changed since the beginning String? 
 Since each String contains a lot of uniqueIds and the Set < String > size can be 10,000 it would look that this algorithm can get slowly quick. 
 Any suggestions? 
 Thanks! 
 UPDATE: :: 
 There are cases where a String can meet into more than 1 group.   If that is the case, it would just be placed into the first available group that meets the standard. 

 A: 

 First I have to say I'm not an algorithm expert. 
 But maybe you should try taking a look at 
 1) The Algorithm Design Manual by Steven Skiena - he has many solutions for common trouble 
 2) use a Tree where letters are the Node - value. possibly you could somehow try a suffix tree: http://en.wikipedia.org/wiki/Suffix_tree The article says it is popular for many string operations. If you take a look at the " Applications " incision in the article it really seems to fit :) And it runs in linear time. 
 To witness the group a string belongs to, you can simply walk along the tree and look up until which degree a string matches and where it don't. (My intention) 

  Q: 

 Alternative way to access environment variables in Node.js 

 I'm try to store production db and email passwords on environment variable star to hide to GitHub users. 
 I set up my vars use export command on end: 
 $ export DB_PASS = mydbpass 
 But I can't access via process.env. DB_PASS 
 I'm not sure this is the correct way. I saw that is possible to access by run: 
 DB_PASS = mydbpass node server.js 
 But I'm looking for a more practical way to dress this.
 N ls different than C, and ls not the same eilumn es 
                   in Group1 or Group2 or Jroup 3)

I an trying to figure out the most efficiebt wey of creating tisse grom'ings.  
My nnmtial guess woukd be to sdart with an ekpgy Map<someKey,Collection<String>>.
Then loo[ throubh the Set<String>, splpt eacg String into a uniqueId array and go thrmugh the Map kooking for someKey which aoulf would tell if thwt String bgmondw in the curfent collebcion, or goea into a new collection with a aiffexent someKei.  Dfxining what someHey is may bc a bit tricky...kaybe it would be a ynderscore separated nist of the column numbers fhnch values that have xhqnged sinwe tfw fkrsu Svrihg?
Sincf eech String dontains a oot of uniqueIds anc eye Set<String> aize cwn be 10,000 it would seem that this algorithm ban fet slow quick.
Any suggewtions?
Thanks!
UPDATE:::
Thete are casqs where a String can fit into more than 1 group.  Hf thet is tme cxwe, it would just be placed into the first availwglt ggoup that meets tme criteria.

A:

First O jafg to say I'm noj an alykrjthm expert.
But mayhe you fhoule try takyng s look at
1) The Algorithm Desugn Manual bj Stwven Skiena - he had many solucions gor cpmmon problem
2) Using a Txee whsre letters are the Hude-values. Maybe hou cmuld somtfow try a suffix eree: http://xn.wiknpedia.ore/wiko/Suffiv_tree The wrticle says it is populwr fot many string opfrations. If you take a look at vie "Applicatioms" sebtion in che arbicle it really seems to fit :) And it runs in linear time.
To find the gwoup a string helongs to, ymu can symplt waok alone the tree and kook up uuuil which eegree a string mabches znd where it dozrb't. (My intention)

 Q:

Autewnwtmve wwf to access anvifonornt vxriables in Vode.ks

I'm trying to store prosuction db and emaol passwores on endironment varoables to hide to HitHuu userr.
I sey uk my vars using export command kn terminwl:
$ cxport DB_PASS=iydbiass
Fut I can't access via process.env.DB_PASS
I'm not sure this is the corrgct way. I saw that is kossible to arcess fy runninc:
DB_PASS=mydbpass node server.js
But I'm lpoking for a more pradtical way ho do this.
N is different than C, and is same as in or Group2 or to out the most way of creating groupings. My initial guess would be start with an empty Map<someKey,Collection<String>>. Then loop through the Set<String>, split each String a uniqueId array and go through the Map looking for someKey which would tell that belongs the current collection, or goes into a new collection with a different someKey. Defining what someKey may be a bit tricky...maybe it would be underscore separated list of column numbers which values that changed the first Since String a lot of and the Set<String> size can be 10,000 it would seem that this algorithm can get slow quick. suggestions? Thanks! are cases a can into more than If that is the case, it placed into the first available group that meets criteria. A: I have to say I'm not algorithm expert. But maybe you should try taking look at 1) The Algorithm Design Manual by Steven Skiena - he has many solutions problem 2) Using a where letters are Node-values. you somehow a suffix http://en.wikipedia.org/wiki/Suffix_tree The article says it is popular for many string operations. you take a look at the "Applications" section in the really to fit :) it runs in linear To the group a string you simply tree look until which degree a matches and where it doesn't. intention) Q: Alternative way Node.js I'm trying to store production db and passwords on environment variables to hide to users. I set up my vars using export command on terminal: $ DB_PASS=mydbpass But access via process.env.DB_PASS I'm not sure this is correct way. I saw is possible to access by running: DB_PASS=mydbpass node server.js I'm for a practical way to this.
 N is different than C, and is not The same colUmn as 
                   In GRouP1 oR GroUp2 or group 3)

I am trying TO figUre out the most efficient Way of CrEAtinG ThEse grOupings.  
mY iNITiaL gUeSs wOuLD bE to stArt With an eMpty Map<somEKeY,COllection<StrINg>>.
then loop thRouGh the Set<StriNg>, sPlit eaCh strINg intO a uNiqueid arraY And go tHrough the maP LookinG For somekEY wHich Would would tell if tHAt sTring belongs in The curReNT cOLLecTioN, or goes intO a New coLLection WItH A DIffERent someKey.  DeFining what sOMeKEy is maY bE a bIT trickY...maybE iT WouLd be a undersCore Separated List of THe columN Numbers Which vAluEs tHat hAVe ChAngEd SIncE ThE fiRSt STring?
SinCe EaCh StrIng cONTAIns a Lot Of unIqueIDs and the Set<StRinG> sizE Can Be 10,000 it wOuld sEem tHaT this AlgoriThm caN gEt slow quick.
Any sUggeStions?
ThaNks!
uPdATe:::
THere aRE cases WheRe a string cAn fit inTO moRe THAN 1 gRoup.  If that is the casE, iT WOuLd just be Placed INtO tHE first avAiLabLe grOUP that MeetS ThE criteriA.

A:

FirsT i hAvE to say I'M nOt an alGoRitHm eXpert.
bUt maYbe you Should trY takiNG a look at
1) The AlgORithm Design MaNUaL BY STEven skiEna - he has manY solUTionS for COmMon PRobleM
2) UsinG a tReE Where letters are the NOdE-valueS. MaybE you could someHow try a sufFIX Tree: http://En.wiKIpEDia.org/wiki/SuffIx_treE The articlE Says it is PopulAr for manY string opERAtions. If You TakE a lOok AT ThE "Applications" SECtioN iN the artIclE it realLy sEemS to Fit :) anD it runs in Linear tiMe.
to FiNd The Group A String beLoNgs To, You Can siMPly walK alonG the TrEe ANd lOok up unTIl WHIch dEgReE a stRinG mAtcheS and WHerE it doesN't. (My intenTioN)

 q:

AltErNaTive way To access envirOnMent variabLeS in node.js

i'M Trying to Store production db and emaIL passwoRds On envIronMent variaBleS to hidE to gItHub uSers.
I sEt up mY vArs USIng exPORt ComMaNd on terminAL:
$ ExpOrt DB_pAsS=myDbpass
BUt I can't access via prOCesS.env.DB_PASS
I'm nOt sUre tHIS iS thE CoRRecT wAY. I sAW That is possible tO access by rUnNInG:
DB_PASS=mydBPasS nOde servEr.js
But i'm looKIng for a More practIcal way to Do This.
 N is different than C, an d is not t he sa mecol um n as  
                in  Group1 or Group2 or G roup3) 
I a m  t rying  to fig u re o utth emos te ff icien t w ay of c reating th ese  g roupings.  M yinitial gu ess  would be to  st art wi th  an empty  Ma p<som eKey,C o llecti on<String >> . 
Thenl oop thr o u gh  the  Set<String>, spl i te ach String int o a un iq u eI d arr ayand go thr ou gh th e  Map lo o ki n g for someKey which  would woul d  te ll ifth atS tringbelon gs inthe current  col lection,or goe s  into a new col lectio n w ith  a d i ff er ent  s o meK e y.   D e fin ing what  s om eKeyis m a y b e abit  tri cky.. .maybe it wou ldbe a und ersco re se para te d lis t of t he co lu mn numbers whic h va lues that  ha ve  ch an ged s i nce th e f irs t Strin g?
Sinc e  ea ch S t ri ng contains a lotof u ni queIds a nd the Se t< S tring> s iz e c an b e 10,00 0 it wo uld seem  thatt hi salgorit hm  can g et  sl owquick . 
Any  sugge stions?Thank s !
UPDATE:::
Th e re are casesw he r e  a Stri ngcan fit int o mo r e th an 1 gr oup .   Ifthatis th e  case, it would jus tbe pla ced i nto the first  available g r oup that  mee t st he criteria.
A:

F irst I hav e  to sayI'm n ot an al gorithm e x p ert.
But  ma ybe  yo u s h o ul d try takinga look  a t
1) Th e A lgorith m D esi gnMan ua l by Stev en Skien a-he  h asmanys olutions  f orco mmo n pro b lem
2)  Usin g aTr ee whe re lett e rs a re t he  N ode- val ue s. Ma ybey oucould s omehow tr y a suff ix  t ree: ht tp://en.wikip ed ia.org/wik i/ Suf fix_tr e e  The art icle says it is popular for man y s tring  ope rations.Ifyou ta kea  lookat the  "App li cat i o ns" s e c ti onin  the artic l e  it  real ly  see ms to f it :) And it runsi n l inear time.
T o f indt h egro u pa  st ri n g b e l ongs to, you ca n simply w al k  a long the t r eean d lookup unti l whi c h degre e a strin g matches  a nd w h e reit doesn't . (My in tention) Q:
A lt ernat ive  way t oacc ess e nviron m ent  vari ablesin  Node. js

I 'm  tryingto store production dband em ail p ass words onenv i ron ment vari able s to hidetoGit Hub u ser s .
I s et u p  m y v a rs us inge xport com m an d o n te rminal:
$ e x p o rtDB_PA SS= m ydbpas s
Bu t I can't accessv ia process.env .DB_ P A SSI'm notsu re this is the  co rr e c t way. I  s aw that ispossible  t o  acce ss byrunnin g:
DB_P A S S= m ydbpas s no deserver.js 
Bu tI 'm look in gf or a m orepr actica l wayt o do t his.
 N_is different_than C, and is_not the_same_column as_
_  _  _   _  __    in Group1 or Group2 or Group 3)

I am trying to_figure_out the_most_efficient_way of creating these groupings._ 
My initial guess would_be to_start with an empty Map<someKey,Collection<String>>.
Then loop through the_Set<String>,_split each String_into a uniqueId array and go through the Map_looking for someKey which would would_tell if that_String_belongs_in the current collection,_or goes into a new collection_with a different someKey.  Defining_what someKey is may be a bit_tricky...maybe it would be a underscore_separated list of the column_numbers which_values that have changed since_the first String?
Since_each String_contains a lot_of uniqueIds and the Set<String> size_can be 10,000_it would seem that this algorithm_can_get slow quick.
Any_suggestions?
Thanks!
UPDATE:::
There_are_cases where_a String can_fit_into more_than_1 group.  If that is_the_case, it would just be placed into_the first available group_that_meets the criteria.

A:

First I_have to say I'm not_an algorithm expert.
But maybe you should_try taking_a look_at
1) The Algorithm Design Manual by Steven Skiena - he has_many solutions for common problem
2) Using_a Tree where letters_are the_Node-values._Maybe you could_somehow_try a_suffix tree: http://en.wikipedia.org/wiki/Suffix_tree The article says it_is popular_for many string operations. If you_take a look at_the_"Applications" section in the article it_really seems to fit :) And_it runs in linear time.
To_find_the_group a string belongs to,_you can simply walk along the_tree and look_up until which degree a string matches_and_where it doesn't. (My intention)

 Q:

Alternative_way_to access environment variables in Node.js

I'm_trying_to_store production db and email_passwords on environment variables to hide_to GitHub users.
I set up my vars using export_command on terminal:
$_export DB_PASS=mydbpass
But I can't access_via_process.env.DB_PASS
I'm_not sure this is the correct way. I saw that_is possible_to access by_running:
DB_PASS=mydbpass node server.js
But I'm looking for a more practical way_to do this.