Se ha denunciado esta presentación.
Utilizamos tu perfil de LinkedIn y tus datos de actividad para personalizar los anuncios y mostrarte publicidad más relevante. Puedes cambiar tus preferencias de publicidad en cualquier momento.
Complex Event Processing      with EsperReal-time Event Stream & Complex Event Processing                    Ted Won      ...
Complex Event Processing
Nanosecond● CEP 세계의 측정 단위는 nanosecond● A nanosecond (ns) is one billionth of a second
Nanosecond 1 second is...   1,000 ms  1,000,000 us1,000,000,000 ns
Concept of CEP● 교회에서... ● 벨이 울린다.● 턱시도를 입은 남자와 꽃을 든 여자가 함께 걷는다.● 두 사람 위로 꽃 잎이 날리고 푹죽이 터진다.
Concept of CEPCEP 기술은 이러한 Complex한 Event를 참조하여     결혼식이라는 것을 알아 차린다.
Imagination Beyond Reality● Imaginary CEP Use Cases
Imagination Beyond Reality● E-mart에서...● 고객들이 카트를 끌고 매장을 돌아 다닌다.● 카트의 이동 경로와 패턴을 알 수 없을까?● 계산대에서 대기하는 고객들 상태 파악 후 실시간 조치● ...
Imagination Beyond Reality● 전국의 이마트 매장이 130개...● 엄청난 양의 데이터를 어찌 실시간으로 처리한단 말인가??● Starbucks 매장에서...● 파주 프리미엄 아웃렛 매장에서...● ...
Imagination Beyond Reality● Algorithmic Stock-Trading● Applying CEP to the RHQ alert feature  as a Operational Intelligenc...
What is CEP?
What is CEP● Complex Event Processing● CEP는 Event 중심의 실시간 대용량 데이터 처리 기술● CEP는 실시간 대용량 Event 처리 기술● CEP는 EDA(Event-driven a...
What is CEP● Identifying the most meaningful events from event cloud● Real-time computation and pattern detection over eve...
What is CEP● Real-time Processing● Intelligence System● Real-time Business Intelligence● Event Stream Intelligence
What is CEP● Extreme Transaction Processing● Publish/Subscribe Model● Loosley-coupled● Asynchronous Style                 ...
Open Source CEP● EsperTech Esper (Stream-oriented)● JBoss Drools Fusion (Rule-oriented)
CEP Language Style● Strem-oriented    ○ EsperTech Esper    ○ MS StreamInsight● Rule-oriented   ○ JBoss Drools Fusion   ○ T...
What is EDA?
What is EDA● Event Driven Architecture● EDA는 event의 production, detection, consumption과  reaction 하기위한 구조를 정의한 software ar...
What is EDA● More Loosely-coupled than SOA● Event 표준 스펙 논의가 OASIS에서   Common Base Events라는 이름으로 진행 중● Response가 아닌 Reactio...
Classical Request-response Architecture● Synchronous interactions● Request에 대한 Response를 하는 구조● 선저장 후처리 패러다임
Event Processing Styles● SEP - Simple Event Processing   ○ Single event based   ○ 상태가 없는 Event를 처리하는 케이스   ○ JMS(Java Mess...
Event Processing Application                  Source: Event Processing in Action
ESP vs. CEP● ESP - Event Stream Processing   ○ Monitor streams of event data, analyse those events, and act     upon oppor...
SOA vs. EDA● SOA   ○ RPC calls   ○ Point-to-Point communication   ○ Request and reply   ○ Vertical interaction● EDA   ○ Me...
Point-To-Point
Publish-and-Subscribe
What is an Event?
What is an Event● Event란 무엇인가?● 무엇을 Event로 정의 할 수 있는가?
What is an Event● Something that happens● 실제로 발생한 사건, 일, 메세지● 상태의 변경
What is an Event● An event is an immutable record of a past occurrence  of an action or state change.● Event properties ca...
What is an EventEvent란 어떤 것이 변화한 것이다!
What is an Event● 변화한다는 것은 어떠한 상태를 가지고 있다는 의미● 상태를 가지고 변화하는 모든 것이 Event로 정의될 수 있다.● 이 세상의 모든 것은 변화한다.● 변화량을 정량적으로 측정가능하도록 ...
What is an Event● 상태가 없는 Event를 처리하는 경우도 존재● SEP(Simple Event Processing)의 경우 존재● JMS가 하나의 예
Event Examples● Stock tick● 비밀번호 변경● 10초마다 실내 온도 측정● 서비스 응답 시간● 고객이 들고 다가오는 Starbucks membership cards with RFID● 고객이 끌고 다...
Events vs. Messages● Event는 때로는 Message로 표현됨● Message는 단순히 Event의 다른 표현이라는 측면도 존재● Event의 상태라는 속성이 Message에서는 어떤 내용(conten...
What is Event Type?
What is Event Type● Event Representation Schema● 개념적인 Event를 실제 프로그래밍적으로 표현하는 방법● Event의 개념적 표현을 Event Schema라 할 수 있는데● Ev...
Event Type Data Format● POJO● Map● XML● JSON● CSV
What is Event Stream?
What is Event Stream● 시간의 순서대로 연속되는 Event● 시작과 끝이 없는 Event의 연속된 흐름
What is Real-time?
What is Real-timeReal-time system은 다음의 조건들을 충족해야 합니다● Low latency● Regularities in Response time● Providing predictable pe...
CEP Usages● Algorithmic Stock-Trading● Operational Intelligence(OI) solutions● Real-time analytics● Predictive analytics● ...
CEP Products
Esper
EsperTech Esper● Event Stream and Complex Event Processing platform● Convergence of ESP and CEP● Open Source ESP/CEP Engin...
EsperTech Esper● High Throughput, Low Latency● Highly Available (EsperHA)● Rich Multi-Window GUI (Enterprise Edition)● Rea...
EsperTech Esper● Usability● Maintainability● Scalability● Availability and Reliability● Extensibility● Security● Portability
EsperTech Esper● Technical Support (Enterprise Edition)● Lightweight & Embeddable● No Runtime Support● GNU GPL(General Pub...
Runtime: Esper + Java EE platform
Runtime: Esper + OSGi
Esper Documentation● Esper Documentation Home   ○ http://goo.gl/isNb6● Esper 4.4.0 Reference documentation   ○ http://goo....
Esper Architecture
Esper EDAS
CEP Architecture
CEP Architecture
CEP Architecture
Sample CEP Architecture
Real-time Log Aggregator & CEP
Input / Output Adapters● Binary File Reader Input● Binary File Writer Output● CSV File Reader Input● CSV File Writer Outpu...
Input / Output Adapters● IP Packet Capture /POP3● IP Packet Capture /SMTP● IRC Output adapter● Jabber Output Adapter● JDBC...
Input / Output Adapters● Regular Expression File Reader Input● Regular Expression Socket Reader Input● RSS● Twitter● Unica...
Esper EPL
Event Processing Languageselect symbol, symbolDesc from OrderEvent.win:time(30 min)
Event Processing Language● No standard● SQL-like language● Data windows● Pattern matching● Continuous query
Event Processing Language
Event Processing Model
Event Processing Model
Event Processing Model
Event Processing Model
Event Processing Language● Event filtering● Sliding windows and aggregation● Grouped windows and output rate limiting● Joi...
Event Example: The RFID Domain● RFID: Radio Frequency Identification● LocationReport    ○ asset id - a unique identifier o...
EPL Statement Sample● If a given set of assets are not moving together from zone to zone,● then alert    insert into Count...
EPL Statement Sampleselect Part.zone from pattern [    every Part=CountZone(cnt in (1, 2)) ->    ( timer:interval(1 min) a...
Listener and Engine// Get engine instance and register statementEPServiceProvider engine = EPServiceProviderManager.getDef...
Sending events// Get the same engine instanceEPServiceProvider engine = EPServiceProviderManager.getDefaultProvider();EPRu...
Event filtering// Filter for location report by location rectangleselect * from LR(x in [4:10], y in [6:12])
Sliding windows and aggregation// Count all assets reporting zone 10 in last 30 secselect count(*) from LR(zone=10).win:ti...
Grouped windows and output rate limiting// Get X location range of the last 100 events per zone// every 1 minuteselect zon...
Continuous joins// Fire when any asset enters zone 2 before zone 1select Zone2.assetIdfrom  LR(zone=2).win:time(1 day) Zon...
Historical or reference data// Alert when we hit the minimum inventory// for a given zoneselect zone, count(*)from LR.std:...
Subquery// Notify when the asset id is not knownselect * from LRwhere assetId not in(select assetIdfrom KnownAsset.std:uni...
Data window views● win:length● win:length_batch● win:time● win:time_batch● win:time_length_batch● win:time_accum● win:ext_...
Data window views● std:unique● std:groupwin● std:lastevent● std:firstevent● std:firstunique● win:firstlength● win:firsttime
Statistics views● std:size● stat:uni● stat:linest● stat:correl● stat:weighted_avg
CEP Application Development Steps● Define Event● Define Event Type● Define EPL Statements● Publish EPL Statements● Subscri...
CEP Application Development Points● Runtime 환경 결정● Resilience를 지원 여부● Zero-downtime event processing● Support dynamic EPL ...
CEP Application Key Considerations● Low Latency● High Throughput● High Availability - Failover● Zero-downtime
Performance● Throughput   ○ events/sec● Latency    ○ us/event● 성능 측정은 throughput을 고정하고 latency statistics로 측정● http://docs...
Latency statistics● Throughput 995900 (active 0 pending 0) ---Stats - engine (unit: ns)  Avg: 2656 #9936457        0<    5...
Thanks Q&A
Thanks Q&A
Practice!!http://goo.gl/5ijAu
JBoss Community (http://www.jboss.org)Korea JBoss User Group (http://cafe.naver.com/jbossug)
Complex Event Processing with Esper
Complex Event Processing with Esper
Próxima SlideShare
Cargando en…5
×

Complex Event Processing with Esper

Real-time Event Stream & Complex Event Processing
CEP Overview
CEP Usage
Esper Overview
Esper Example

Libros relacionados

Gratis con una prueba de 30 días de Scribd

Ver todo

Audiolibros relacionados

Gratis con una prueba de 30 días de Scribd

Ver todo
  • Sé el primero en comentar

Complex Event Processing with Esper

  1. 1. Complex Event Processing with EsperReal-time Event Stream & Complex Event Processing Ted Won 2011. 11. 12. http://tedwon.com
  2. 2. Complex Event Processing
  3. 3. Nanosecond● CEP 세계의 측정 단위는 nanosecond● A nanosecond (ns) is one billionth of a second
  4. 4. Nanosecond 1 second is... 1,000 ms 1,000,000 us1,000,000,000 ns
  5. 5. Concept of CEP● 교회에서... ● 벨이 울린다.● 턱시도를 입은 남자와 꽃을 든 여자가 함께 걷는다.● 두 사람 위로 꽃 잎이 날리고 푹죽이 터진다.
  6. 6. Concept of CEPCEP 기술은 이러한 Complex한 Event를 참조하여 결혼식이라는 것을 알아 차린다.
  7. 7. Imagination Beyond Reality● Imaginary CEP Use Cases
  8. 8. Imagination Beyond Reality● E-mart에서...● 고객들이 카트를 끌고 매장을 돌아 다닌다.● 카트의 이동 경로와 패턴을 알 수 없을까?● 계산대에서 대기하는 고객들 상태 파악 후 실시간 조치● 카트 + 멤버십 카드라면 카트에 달린 모니터를 통해  개인화된 실시간 추천/쿠폰 발행● 카트에 물건을 담으면 자동으로 계산
  9. 9. Imagination Beyond Reality● 전국의 이마트 매장이 130개...● 엄청난 양의 데이터를 어찌 실시간으로 처리한단 말인가??● Starbucks 매장에서...● 파주 프리미엄 아웃렛 매장에서...● 교통 관리에서 실시간으로 교통 상태/패턴을 인지하고 적절한 조치
  10. 10. Imagination Beyond Reality● Algorithmic Stock-Trading● Applying CEP to the RHQ alert feature as a Operational Intelligence (OI) solution
  11. 11. What is CEP?
  12. 12. What is CEP● Complex Event Processing● CEP는 Event 중심의 실시간 대용량 데이터 처리 기술● CEP는 실시간 대용량 Event 처리 기술● CEP는 EDA(Event-driven architecture) 기반 시스템● Mutliple event stream에서 발생하는 패턴 감지 기술
  13. 13. What is CEP● Identifying the most meaningful events from event cloud● Real-time computation and pattern detection over event streams● Response가 아닌 Reaction을 하는 시스템● http://en.wikipedia.org/wiki/Complex_Event_Processing
  14. 14. What is CEP● Real-time Processing● Intelligence System● Real-time Business Intelligence● Event Stream Intelligence
  15. 15. What is CEP● Extreme Transaction Processing● Publish/Subscribe Model● Loosley-coupled● Asynchronous Style Source: Event Processing in Action
  16. 16. Open Source CEP● EsperTech Esper (Stream-oriented)● JBoss Drools Fusion (Rule-oriented)
  17. 17. CEP Language Style● Strem-oriented ○ EsperTech Esper ○ MS StreamInsight● Rule-oriented ○ JBoss Drools Fusion ○ TIBCO TIBCO BusinessEvents
  18. 18. What is EDA?
  19. 19. What is EDA● Event Driven Architecture● EDA는 event의 production, detection, consumption과 reaction 하기위한 구조를 정의한 software architecture Source: Event Processing in Action
  20. 20. What is EDA● More Loosely-coupled than SOA● Event 표준 스펙 논의가 OASIS에서  Common Base Events라는 이름으로 진행 중● Response가 아닌 Reaction을 하는 시스템● 선처리 후저장 패러다임● http://en.wikipedia.org/wiki/Event-driven_architecture
  21. 21. Classical Request-response Architecture● Synchronous interactions● Request에 대한 Response를 하는 구조● 선저장 후처리 패러다임
  22. 22. Event Processing Styles● SEP - Simple Event Processing ○ Single event based ○ 상태가 없는 Event를 처리하는 케이스 ○ JMS(Java Message Service)가 대표적인 예 ○ ESB(Enterprise Service Bus)● ESP - Event Stream Processing● CEP - Complex Event Processing
  23. 23. Event Processing Application Source: Event Processing in Action
  24. 24. ESP vs. CEP● ESP - Event Stream Processing ○ Monitor streams of event data, analyse those events, and act upon opportunities ○ Volume weighted average of Google stock over the last (moving) 30min● CEP - Complex Event Processing ○ Detecting patterns among events ○ If this Google VWAP increased more than 5% two times followed by Yahoo! VWAP decreased more than 10% then…
  25. 25. SOA vs. EDA● SOA ○ RPC calls ○ Point-to-Point communication ○ Request and reply ○ Vertical interaction● EDA ○ Message based ○ Less coupled than SOA ○ Publish and subscribe ○ Horizontal communication between tiers in process chain
  26. 26. Point-To-Point
  27. 27. Publish-and-Subscribe
  28. 28. What is an Event?
  29. 29. What is an Event● Event란 무엇인가?● 무엇을 Event로 정의 할 수 있는가?
  30. 30. What is an Event● Something that happens● 실제로 발생한 사건, 일, 메세지● 상태의 변경
  31. 31. What is an Event● An event is an immutable record of a past occurrence of an action or state change.● Event properties capture the useful information for an event.
  32. 32. What is an EventEvent란 어떤 것이 변화한 것이다!
  33. 33. What is an Event● 변화한다는 것은 어떠한 상태를 가지고 있다는 의미● 상태를 가지고 변화하는 모든 것이 Event로 정의될 수 있다.● 이 세상의 모든 것은 변화한다.● 변화량을 정량적으로 측정가능하도록 정의해야함● Event를 추상화하여 표현한 것을 Event type이라함
  34. 34. What is an Event● 상태가 없는 Event를 처리하는 경우도 존재● SEP(Simple Event Processing)의 경우 존재● JMS가 하나의 예
  35. 35. Event Examples● Stock tick● 비밀번호 변경● 10초마다 실내 온도 측정● 서비스 응답 시간● 고객이 들고 다가오는 Starbucks membership cards with RFID● 고객이 끌고 다니는 E-mart carts with RFID
  36. 36. Events vs. Messages● Event는 때로는 Message로 표현됨● Message는 단순히 Event의 다른 표현이라는 측면도 존재● Event의 상태라는 속성이 Message에서는 어떤 내용(contents)이 라는 차이● EDA에 속한 개념으로써 SEP(Simple Event Processing)의 한 종류 인 JMS와 같은 기술에서 사용하는 전문 용어라는 측면
  37. 37. What is Event Type?
  38. 38. What is Event Type● Event Representation Schema● 개념적인 Event를 실제 프로그래밍적으로 표현하는 방법● Event의 개념적 표현을 Event Schema라 할 수 있는데● Event Schema의 표현을 Event Type 으로 한다.● DBMS의 테이블 스키마와 유사한 개념● 대표적인 Data Format을 이용하여 정의 할 수 있다.
  39. 39. Event Type Data Format● POJO● Map● XML● JSON● CSV
  40. 40. What is Event Stream?
  41. 41. What is Event Stream● 시간의 순서대로 연속되는 Event● 시작과 끝이 없는 Event의 연속된 흐름
  42. 42. What is Real-time?
  43. 43. What is Real-timeReal-time system은 다음의 조건들을 충족해야 합니다● Low latency● Regularities in Response time● Providing predictable performance
  44. 44. CEP Usages● Algorithmic Stock-Trading● Operational Intelligence(OI) solutions● Real-time analytics● Predictive analytics● Event-driven business process management● BAM - Business Activity Monitoring● BI - Business intelligence● BRMSs - Business rule management systems● Network and System Management● MOM- Message-oriented middleware● Stream computing● ETL(Extract, Transform, Load)
  45. 45. CEP Products
  46. 46. Esper
  47. 47. EsperTech Esper● Event Stream and Complex Event Processing platform● Convergence of ESP and CEP● Open Source ESP/CEP Engine● Event Processing Language (EPL)● Java and .Net
  48. 48. EsperTech Esper● High Throughput, Low Latency● Highly Available (EsperHA)● Rich Multi-Window GUI (Enterprise Edition)● Real-time Displays (Enterprise Edition)● Enterprise *ilities (Enterprise Edition)
  49. 49. EsperTech Esper● Usability● Maintainability● Scalability● Availability and Reliability● Extensibility● Security● Portability
  50. 50. EsperTech Esper● Technical Support (Enterprise Edition)● Lightweight & Embeddable● No Runtime Support● GNU GPL(General Public License) v2
  51. 51. Runtime: Esper + Java EE platform
  52. 52. Runtime: Esper + OSGi
  53. 53. Esper Documentation● Esper Documentation Home ○ http://goo.gl/isNb6● Esper 4.4.0 Reference documentation ○ http://goo.gl/5TXel● EsperIO 4.4.0 Reference documentation ○ http://goo.gl/76uOe
  54. 54. Esper Architecture
  55. 55. Esper EDAS
  56. 56. CEP Architecture
  57. 57. CEP Architecture
  58. 58. CEP Architecture
  59. 59. Sample CEP Architecture
  60. 60. Real-time Log Aggregator & CEP
  61. 61. Input / Output Adapters● Binary File Reader Input● Binary File Writer Output● CSV File Reader Input● CSV File Writer Output● CSV Socket Reader Input● CSV Socket Writer Output● Email (IMAP) Reader Input● Email Sender● HA Heartbeat Input● IP Packet Capture /HTTP● IP Packet Capture /IRC
  62. 62. Input / Output Adapters● IP Packet Capture /POP3● IP Packet Capture /SMTP● IRC Output adapter● Jabber Output Adapter● JDBC● JMS Publish/Subscribe*● Log Output● Microsoft Excel RTD*● Multicast UDP Input and Output*● Quartz Enterprise Scheduler Input*
  63. 63. Input / Output Adapters● Regular Expression File Reader Input● Regular Expression Socket Reader Input● RSS● Twitter● Unicast UDP Input Adapter● XML File Writer Output● XML over HTTP Writer Output● Hadoop HDFS Input Adapter● Hadoop HDFS Output Adapter
  64. 64. Esper EPL
  65. 65. Event Processing Languageselect symbol, symbolDesc from OrderEvent.win:time(30 min)
  66. 66. Event Processing Language● No standard● SQL-like language● Data windows● Pattern matching● Continuous query
  67. 67. Event Processing Language
  68. 68. Event Processing Model
  69. 69. Event Processing Model
  70. 70. Event Processing Model
  71. 71. Event Processing Model
  72. 72. Event Processing Language● Event filtering● Sliding windows and aggregation● Grouped windows and output rate limiting● Joins and Outer Joins● Historical or reference data● Subquery
  73. 73. Event Example: The RFID Domain● RFID: Radio Frequency Identification● LocationReport ○ asset id - a unique identifier of the tagged asset ○ x - the x location value ○ y - the y location value ○ zone - derived from x and y● Use cases ○ “When a given group of assets are not moving together from zone to zone, then...” ○ “When a given asset stays too long in the same zone, then...”
  74. 74. EPL Statement Sample● If a given set of assets are not moving together from zone to zone,● then alert insert into CountZone select zone, count(*) as cnt from LocationReport.std:unique(assetId) where assetId in (1, 2, 3) group by zone
  75. 75. EPL Statement Sampleselect Part.zone from pattern [ every Part=CountZone(cnt in (1, 2)) -> ( timer:interval(1 min) and not CountZone(zone=Part.zone, cnt in (0, 3)) )]
  76. 76. Listener and Engine// Get engine instance and register statementEPServiceProvider engine = EPServiceProviderManager.getDefaultProvider();EPStatement statement = engine.getEPAdministrator().createEQL("...");// Attach a listenerstatement.addListener(new UpdateListener() {public void update(EventBean[] newEvents, EventBean[] oldEvents) { // Handle complex event ...}});
  77. 77. Sending events// Get the same engine instanceEPServiceProvider engine = EPServiceProviderManager.getDefaultProvider();EPRuntime runtimeEngine = engine.getRuntime();...LocationReport event = new LocationReport(assetId,x,y,zone);runtimeEngine.sendEvent(event);
  78. 78. Event filtering// Filter for location report by location rectangleselect * from LR(x in [4:10], y in [6:12])
  79. 79. Sliding windows and aggregation// Count all assets reporting zone 10 in last 30 secselect count(*) from LR(zone=10).win:time(30 sec)
  80. 80. Grouped windows and output rate limiting// Get X location range of the last 100 events per zone// every 1 minuteselect zone, min(x), max(x)from LR.std:groupby(zone).win:length(100 events)output every 1 min
  81. 81. Continuous joins// Fire when any asset enters zone 2 before zone 1select Zone2.assetIdfrom LR(zone=2).win:time(1 day) Zone2left outer join LR(zone=1).win:time(1 day) Zone1on Zone1.assetId = Zone2.assetIdwhere Zone1.assetId is null
  82. 82. Historical or reference data// Alert when we hit the minimum inventory// for a given zoneselect zone, count(*)from LR.std:unique(assetId) as lr,sql:db[select mini from Minimum where zone=${lr.zone}]having mini < count(*)
  83. 83. Subquery// Notify when the asset id is not knownselect * from LRwhere assetId not in(select assetIdfrom KnownAsset.std:unique(assetId))
  84. 84. Data window views● win:length● win:length_batch● win:time● win:time_batch● win:time_length_batch● win:time_accum● win:ext_timed● ext:sort_window● ext:time_order
  85. 85. Data window views● std:unique● std:groupwin● std:lastevent● std:firstevent● std:firstunique● win:firstlength● win:firsttime
  86. 86. Statistics views● std:size● stat:uni● stat:linest● stat:correl● stat:weighted_avg
  87. 87. CEP Application Development Steps● Define Event● Define Event Type● Define EPL Statements● Publish EPL Statements● Subscribe Output Adapter● Attache Input Adapter
  88. 88. CEP Application Development Points● Runtime 환경 결정● Resilience를 지원 여부● Zero-downtime event processing● Support dynamic EPL Statement updates● Input/Output Adapter에서 bottleneck이 발생● 그러므로 Adapter의 성능이 중요● Event의 타입과 용량에 따라서 성능에 영향● Input Adapter의 통신 protocol 결정 중요● CEP Engine Performance Tuning
  89. 89. CEP Application Key Considerations● Low Latency● High Throughput● High Availability - Failover● Zero-downtime
  90. 90. Performance● Throughput ○ events/sec● Latency ○ us/event● 성능 측정은 throughput을 고정하고 latency statistics로 측정● http://docs.codehaus.org/display/ESPER/Esper+performance
  91. 91. Latency statistics● Throughput 995900 (active 0 pending 0) ---Stats - engine (unit: ns) Avg: 2656 #9936457 0< 5000: 99.78% 99.78% #9914178 5000 < 10000: 0.20% 99.98% #20120 10000 < 15000: 0.01% 99.98% #646 15000 < 20000: 0.00% 99.99% #69 20000 < 25000: 0.00% 99.99% #36 25000 < 50000: 0.00% 99.99% #56 50000 < 100000: 0.00% 99.99% #26 100000 < 500000: 0.00% 99.99% #189 500000 < 1000000: 0.00% 99.99% #2 1000000 < 2500000: 0.00% 99.99% #68
  92. 92. Thanks Q&A
  93. 93. Thanks Q&A
  94. 94. Practice!!http://goo.gl/5ijAu
  95. 95. JBoss Community (http://www.jboss.org)Korea JBoss User Group (http://cafe.naver.com/jbossug)

×