Structured concurrency control in object oriented databases

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Structured concurrency control in object oriented databases

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              STRUCTURED  CONCURRENCY  CONTROL     IN     OBJECT  ORIENTED  DATABASES                                     Francisco  Mariátegui                           STRUCTURED  CONCURRENCY  CONTROL   IN   OBJECT  ORIENTED  DATABASES             A  Dissertation  Presented  to  the  Graduate  Faculty  of   The  School  of  Engineering  and  Applied  Science   of   Southern  Methodist  University   in   Partial  Fulfillment  of  the  Requirements   for  the  Degree  of   Doctor  of  Philosophy   with  a   Major  in  Computer  Science   By   Francisco  José  Mariátegui   B.Sc.,  Honors,  Naval  Academy  of  Peru,  1974   Systems  Engineering  Specialization  Degree,  Honors,  University  of   Lima,  1977   M.Sc  Computer  Science,  U.S.A  Naval  Postgraduate  School,  1979   M.Sc  Computer  Systems  Management  U.S.A  Naval  Postgraduate   School,  1979         May  13,  1989                               COPYRIGHT  @  1989     Francisco  J  Mariategui     All  Rights  Reserved                       Mariategui,  Francisco  J       B.Sc  Naval  Sciences,  Naval  Academy  of  Peru,  1974   System  Engineering,  University  of  Lima,  1977   M.Sc  Computer  Science,  U.S  Naval  Postgraduate  School,  1979   M.Sc  Computer  Systems  Management,  U.S  Naval  Postgraduate  School,  1979       STRUCTURED  CONCURRENCY  CONTROL  IN     OBJECT  ORIENTED  DATABASES       Advisor:  Dr  Margaret  H  Eich     Doctor  of  Philosophy  degree  conferred  August  12,  1989     Dissertation  completed  May  13,  1989     In   the   last   few   years   a   number   of   object-­‐oriented   database   systems   have   appeared   in   the   literature,   most   of   which   addresses   specific   areas   such   as   office   information   systems   (OIS),   computer   aided   design   (CAD),   computer   aided   manufacturing   (CAM),   software   engineering   (SE),   and   artificial   intelligence   (AI)   Unfortunately,   hardly   any   one   of   them  addresses  the  problem  of  concurrency   control  from  the  general-­‐ purpose   database   point   of   view   Due   to   the   extreme   differences   in   types  of  transactions  supported  by  these  environments,  the  need  for               combining   different   concurrency   control   approaches   has   been   recognized  but  never  thoroughly  investigated     A  high  level  design  of  a  Multi-­‐Group  Multi-­‐Layer  approach  to   concurrency  control  for  object-­‐oriented  message-­‐passing  based   databases  is  presented  The  design  follows  a  formal  definition  of   transaction  The  concurrency  control  takes  advantage  of  the   structured  nature  of  transactions  to  manage  an  on-­‐line  serializer  The   serializer  is  specified  as  a  set  of  filters  These  filters  are  specifications   of  algorithms  that  ensure  serializable  histories  The  concurrency   control  manages  these  histories  by  layers  Each  layer,  along  with  its   corresponding  filters,  constitutes  a  different  level  of  abstraction  in   concurrency  control  processing  Mutually  exclusive  groups  of   transactions  being  processed  in  parallel  are  assumed  The  availability   of  a  processor  per  group  is  also  assumed  The  performance  is   improved  when  this  case  of  large  granularity  and  limited  interaction  is   applied  The  decomposition  of  the  histories  into  layers  allows  the   problem  to  be  more  manageable,  the  principles  of  hierarchical  design   to  be  applied,  and  the  benefits  of  hierarchical  thought  to  be  utilized     Summarizing,  this  research  has  led  to  the  following  results:                 1) First   cut   definition   of   an   Object-­‐Oriented   Data   Model   (OODM)   which   encompasses   data   structures,   operations,   and   integrity   constraints   2) Transaction   processing   model   for   the   OODM   environment,   which   facilitates   not   only   definition   of   transactions   but   also,   allows   investigation  of  concurrency  control   3) Multi-­‐group   Multi-­‐Layer   concurrency   control   technique   built   on   the   OODM   and   transaction   models   that   allow   the   use   of   several   different   concurrency   control   techniques   in   parallel   in   the   same   environment                   TABLE  OF  CONTENTS   TABLE  OF  CONTENTS     LIST  OF  FIGURES   13   ACKNOWLEDGEMENTS   15   CHAPTER  1  -­‐  INTRODUCTION   16   1.1  THE  PROBLEM   1.2  THE  APPROACH   1.3  CONTRIBUTION   1.4  SIGNIFICANCE   1.5  THE  CONCURRENCY  CONTROL  MANAGER   1.5.1  PURPOSE   1.5.2  CONCEPTS  AND  MEANS   1.5.3  BENEFITS   1.5.4  INTERFACE   1.6  GENERAL  OVERVIEW  OF  THE  CCMM   1.7  OUTLINE  OF  THE  DISSERTATION   2.1  INTRODUCTION   2.2  OBJECT-­‐ORIENTED  DATABASES:  AN  OVERVIEW   2.2.1  BACKGROUND   2.2.2  DEFINITION  OF  TERMS   2.2.3  DEFINITION  OF  PROPERTIES  OF  OODBS   2.3  DATA  MODELS   2.4  AN  OBJECT-­‐ORIENTED  DATA  MODEL   2.4.1  DATA  STRUCTURE   16   18   19   20   21   21   22   22   23   24   28   30   32   33   35   38   41   44   45               2.4.2  OPERATORS   2.4.3  INTEGRITY  RULES   2.4.4  SUMMARY   2.5  MODELING  ABILITY  OF  THE  OODM   2.6  SUMMARY   57   62   63   65   67   CHAPTER  3  -­‐  UNIT  OF  CONSISTENCY   69   3.1  INTRODUCTION   3.2  PRELIMINARIES   3.4  THE  PAIR  <  GM,  DM  >  AS  A  MODELING  TOOL   3.5  EXPANDING  THE  MODEL  TO  INCLUDE  LEAVES   3.6  THE  COMPLETE  STRUCTURE  OF  A  TRANSACTION   3.5  SUMMARY   69   70   79   87   93   102   CHAPTER  4  -­‐  THEORY  OF  EXECUTION  AND  SERIALIZABILITY   104   4.1  INTRODUCTION   4.2  PRELIMINARIES   4.3  SERIALIZABILITY   4.4  SERIALIZABILITY  AND  THE  PAIR     4.5  INFORMAL  COMPRESSION  OF  TRANSACTION  TREES   4.6  FROM  TRANSACTION  TREES  TO  TRANSACTION  HISTORIES   4.7  SUMMARY   104   105   107   118   119   128   130   CHAPTER  5  -­‐  MULTI-­‐LAYER  CONCURRENCY:  RATIONALE   132   5.1  INTRODUCTION   5.2  THE  NEED  FOR  CHANGE   5.3  REPRESENTATIVE  CONCURRENCY  CONTROL  TECHNIQUES   132   133   137               5.4  STRUCTURED  CONCURRENCY  CONTROL   5.5  THE  LAYERED  APPROACH   5.6  EXPANDING  THE  THEORY  OF  EXECUTION:  GROUP  HISTORY   5.7  SUMMARY   142   144   145   147   CHAPTER  6  -­‐  MULTI-­‐LAYER  CONCURRENCY  ARCHITECTURE   149   6.1  INTRODUCTION   6.2  BACKGROUND   6.3  ACTIVE  HISTORIES   6.4  PREFIXES   6.5  CONTENTS  OF  PREFIXES  OF  ACTIVE  HISTORIES   6.5.1  NOTATION  FOR  PREFIXES   6.5.2  MEANING  OF  THE  INDEXES  OF  HISTORIES   6.5.3  CONTENTS  OF  HISTORIES   6.6  HIERARCHY  OF  HISTORIES   6.7  ELEVATOR  FUNCTIONS   6.8  NOTATION   6.9  FILTERS   6.9.1  COMPONENT  HISTORIES  FILTERS   6.9.1.1  Filter  F0rsws   6.9.1.2  Filter  F0ccg   6.9.2  TRANSACTION  HISTORIES  FILTERS   6.9.2.1  Filter  F1rsws   6.9.2.2  Filter  F1ccg   6.9.3  FOREST  HISTORIES  FILTERS   6.9.3.1  Filter  F2rsws   6.9.3.2  Filter  F2tcg   6.9.4  GROUP  HISTORY  FILTERS       149   150   151   155   158   158   159   160   164   165   173   175   177   179   181   182   183   184   185   186   187   189   10         8.2.5  Early  Evaluation  of  Inter-­‐Group  Conflicts   The   Multi-­‐Group   Multi-­‐Layer   Approach   to   concurrency   "waits"   until   conflicts   have   gotten   to   the   top   of   the   hierarchy   to   detect   them   and   take   appropriate   action   It   is   in   this   way   that   inconsistencies   among   groups   are   not   allowed   The   explicit   maintenance   of   the   conflict   graphs   constitutes   not   only   the   way   to   guarantee   serializable   executions,   but   it   is   also   the   common   denominator   to   maintain   all   the   different  techniques  synchronized   It  may  seem  (at  first  glance)  that  the  detection  of  conflicts  at  the  top   level   of   the   hierarchy   is   a   "little"   too   late   (actually,   it   is   not)   The   underlying   assumption   of   this   work   is   that   different   types   of   transactions,   or   applications,   or   environments   must   be   supported   in   the   same   (logical)   data   bank   Furthermore,   this   data   bank   ought   to   provide   flexible   and   adaptable   concurrency   control   techniques   so   each   user   would   be   able   to   suit   their   needs   (or   lack   of   thereof)   It   is   more   likely   than   not,   that   different   transactions   will   access   different   data  due  to  their  different  nature,  their  different  type  of  application,   and  most  important,  their  different  environment  In  other  words,  the   probability  of  conflicts  among  groups  should  be  low  But,  then  again,       261         every   concurrency   control   technique   works   better   when   the   conflict   probability  is  low   In  any  event,  and  as  the  title  of  this  subsection  suggests,  it  would  be   interesting  to  learn  about  the  potential  benefits  of  early  evaluation  of   conflicts  There  are  several  early  evaluation  times:  levels  0,  1,  and  2  of   the   hierarchy   (ℎ𝐻)   In   the   case   that   these   early   evaluations   were   beneficial,  the  issue  about  how  much  space  is  needed  would  become   a   problem   But   more   important,   global   data   structures   would   be   needed   This   would   make   it   problematic   to   implement   in   distributed   systems   8.2.6  Increase  the  Number  of  Processors   So   far,   the   existence   of   only   four   processors   was   assumed,   one   per   group,   performing   concurrency   control   processing   At   the   top   of   the   hierarchy  and  given  the  sequential  nature  of  its  filters,  any  processor   (out   of   the   four)   may   execute   The   processing   needed   to   be   performed  at  each  level  of  the  hierarchy  is  simple  It  consists  mainly  of   cycle   detections   and   updates   to   data   structures   containing   read   sets   and  write  sets  and  other  bookkeeping  information   The   potential   for   speedup   using   parallel   algorithms   and   an   appropriate   number   of   processors,   is   substantial   For   example,       262         Kruskal's   parallel   prefix   algorithm   [Kruskal,   1985],   which   could   be   interpreted   as   a   variant   of   the   precede   and   conflict   relations,   has   a   time  complexity  of   O(  (  (𝑙𝑜𝑔  𝑛)/𝑙𝑜𝑔(2𝑛/𝑝    )).(𝑛/𝑝  )),     where  𝑝  in  the  number  of  processors  and  𝑛  the  number  of  elements     The   creation   of   a   hardware   version   of   the   Concurrency   Control   Manager  Module  (CCMM)  is  possible  This  version  could  take  the  form   of   a   concurrency   control   board,   which   among   other   things   (such   as   memory)  would  contain  a  set  of  processors  acting  on  the  hierarchy  of   histories   The   speedup   could   be   equivalent   to   several   orders   of   magnitude   when   parallel   processors   are   used   instead   of   only   one   processor  per  group   8.2.7  Pipeline  the  Cycle  Algorithm   As  is,  the  cycle  algorithm  is  processed  a  step  at  a  time,  that  is,  a  level   of   the   hierarchy   at   a   time   An   improvement   over   the   original   high-­‐ level   design   could   be   achieved   by   pipelining   the   steps   of   the   cycle   algorithm       263         Given   that   the   algorithm   is   described   in   terms   of   elevator   functions,   filters,  and  bookkeeping  information,  it  would  be  relatively  simple  to   pipeline   the   processing   of   different   levels   of   the   hierarchy   One   would   need  to  investigate  which  would  be  the  collision  vector  of  the  whole   scheme   In   other   words,   what   are   the   resources   used   by   each   level   and   how     they   collide   Here,   resources   mean   logical   as   well   as   physical  structures  (e.g.,  memory,  cpu's,  read  sets,  etc.)  By  “collide”  it   is  meant  if  they  are  used  simultaneously,  and  if  they  are,  how  are  they   going  to  interfere  with  each  other   Once   this   "interference"   is   understood,   the   pipeline   mechanism   may   be   constructed   and   optimized,   giving   a   further   gain   in   performance   The   gains   in   using   pipelines   can   be   quite   impressive   As   a   reminder,   consider   that   the   so-­‐called   "supercomputers"   are   (in   their   majority)   highly  pipelined  vector  processing  architectures   8.2.8  Router  Issues   It   is   assumed   throughout   this   work   that   there   exists   a   router   that   would   balance   the   load   in   the   groups   The   router,   as   mentioned   in   chapter   7,   should   be   smart   enough   to   assign   each   transaction   to   its   "most   appropriate"   group   and   at   the   same   time   perform   load   balancing  These  two  minimum  requirements  could  be  conflicting  At       264         this   point   there   are   no   definitive   answers   to   put   forward   concerning   this  problem  although  there  are  some  suggestions     Basically,  the  router  may  be  qualified  by  its  level  of  achievement,  i.e.,   how   well   would   it     its   job   Also,   the   quality   of   the   router   may   be   directly  dependent  on  the  number  of  characteristics  of  transactions  it   is   able   to   analyze   If   complexity   were   directly   correlated   with   capability,   then   the   router   would   be   more   efficient   if   it   is   more   complex  (up  to  a  certain  point,  of  course)   A   router   could   be   a   simple   round   robin   algorithm   that   would   assign   the   first   transaction   to   the   first   group,   the   second   transaction   to   the   second   group,   and   so   on   Or   it   can   be   a   complex   analyzer   of   a   transaction  or  a  group  of  transactions  using  techniques  from  artificial   intelligence,   statistics,   optimization,   etc   The   definitive   answer   may   lie   somewhere   in   between   The   router   should   be   simple   enough   to     the   job   efficiently   and   complex   enough   to   satisfy   most   of   the   requirements   Another  unanswered  question  about  the  router  is  where  to  situate  it   In   other   words,   is   the   router   a   new   and   separate   module?   It   was   assumed   throughout   this   work   that   this   is   the   case,   for   purposes   of   modularizing   the   presentation   and   thought   It   could   be   seen   as   a       265         smart   transaction   manager   or   even   a   combination   of   a   query   processor  and  a  transaction  manager  driven  by  an  expert  system   The   two   questions   presented   above   must   be   answered   before   an   attempt  is  made  to  study  the  impact  that  such  a  device  will 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Mục lục

  • Preface

  • Table of Contents

  • Ch1 Introduction

  • 1.2 The Approach

  • 1.3 Contribution

  • 1.4 Significance

  • 1.5 The Concurrency Control Manager

  • 1.6 General Overview of the CCMM

  • 1.7 Outline of the Dissertation

  • Ch2 An Objet-Oriented Data Model

  • 2.2 Object-Oriented Databases: An Overview

  • 2.3 Data Models

  • 2.4 An Object-Oriented Data Model

  • 2.5 Modeling Ability of the OODM

  • 2.6 Summary

  • Ch3 Unit of Consistency

  • 3.2 Preliminaries

  • 3.4 The Pair <GM, DM> as a Modeling Tool

  • 3.5 Expanding the Model to Include Leaves

  • 3.6 The Complete Structure of a Transaction

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