Esper - CEP Engine

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Tech Talk about Esper - Complex Event Processing Engine in Java.

Presented at JTeam Tech Meeting by Aparna Chaudhary

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Esper - CEP Engine

  1. 1. Esper The Power to Predict JTeam Innovating J2EE Development Wednesday, April 1, 2009
  2. 2. Agenda • Predictive Business • Complex Event Processing • Esper • Demo • Questions JTeam Innovating J2EE Development Wednesday, April 1, 2009
  3. 3. Predictive Business "In the future, every company must be able to recognize what is coming early enough to take evasive action or steer towards an emerging opportunity."[Frederick W. Smith-CEO FedEx] JTeam Innovating J2EE Development Wednesday, April 1, 2009
  4. 4. Business Demands High throughput Complexity High Availability Low latency Insight JTeam Innovating J2EE Development Wednesday, April 1, 2009
  5. 5. Conventional Models • RDBMS • Adds delays into data storage • Uses Polling Model • Wasteful Use of Resources JTeam Innovating J2EE Development Wednesday, April 1, 2009
  6. 6. Conventional Models • Messaging Systems • Process Unitary Events • No Correlation support JTeam Innovating J2EE Development Wednesday, April 1, 2009
  7. 7. Agenda • Predictive Business • Complex Event Processing • Esper • Demo • Questions JTeam Innovating J2EE Development Wednesday, April 1, 2009
  8. 8. Complex Event Processing JTeam Innovating J2EE Development Wednesday, April 1, 2009
  9. 9. Concepts - Event An event is a piece of data that represents that something happened in the real world, or in software system. e.g. Stock Tick, Weather, UserClick JTeam Innovating J2EE Development Wednesday, April 1, 2009
  10. 10. Concepts - Complex Event An event that could only happen when lots of other events happen. e.g. Housing Price Drop JTeam Innovating J2EE Development Wednesday, April 1, 2009
  11. 11. Concepts - Event Stream A linearly ordered (often by time) sequence of events forms Event Stream. e.g. Click Stream JTeam Innovating J2EE Development Wednesday, April 1, 2009
  12. 12. Concepts - Event Cloud A partially ordered set of events form Event Cloud e.g. Set of all stock trades for GOOG within a 5 minute time window is an Event Stream. While all Stocks sold in a business day is an Event Cloud. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  13. 13. Concepts - Event Cloud JTeam Innovating J2EE Development Wednesday, April 1, 2009
  14. 14. ESP and CEP Event Stream Processing is focused more on high-speed querying of data in streams of events and applying mathematical algorithms to the event data. Complex Event Processing includes event data analysis, but places emphasis on patterns of events, and abstracting and simplifying information in the patterns. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  15. 15. CEP Engine An event processor is an application that performs operations on event objects, including creating, reading, transforming, aggregating, correlating or removing them. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  16. 16. CEP Engine JTeam Innovating J2EE Development Wednesday, April 1, 2009
  17. 17. CEP Engine Characteristics 1. Keep the data moving 2. Query on streams 3. Handle Stream Imperfections 4. Integrate Stored and Streaming Data 5. Guarantee Data Safety and Availability JTeam Innovating J2EE Development Wednesday, April 1, 2009
  18. 18. CEP Engine Characteristics 6. Partition and scale applications automatically 7. Process and Respond instantaneously 8. Interoperability JTeam Innovating J2EE Development Wednesday, April 1, 2009
  19. 19. CEP in Application Architecture JTeam Innovating J2EE Development Wednesday, April 1, 2009
  20. 20. Commercial CEP Products • Weblogic Event Server • Coral8 • TIBCO • IBM • StreamBase • Progress JTeam Innovating J2EE Development Wednesday, April 1, 2009
  21. 21. CEP/EDA and SOA [1/3] EDA is SOA 2.0 EDA is Proactive SOA EDA and SOA Complementary JTeam Innovating J2EE Development Wednesday, April 1, 2009
  22. 22. CEP/EDA and SOA [2/3] JTeam Innovating J2EE Development Wednesday, April 1, 2009
  23. 23. CEP/EDA and SOA [3/3] JTeam Innovating J2EE Development Wednesday, April 1, 2009
  24. 24. Real World Applications Capital Markets BAM - Business Activity Monitoring Supply Chain Management Flight Operations Monitoring Fraud Detection JTeam Innovating J2EE Development Wednesday, April 1, 2009
  25. 25. Agenda • Predictive Business • Complex Event Processing • Esper • Demo • Questions JTeam Innovating J2EE Development Wednesday, April 1, 2009
  26. 26. Esper • Dual Licensing model • Open Source GPL • Esper Tech • Q2/2007 BEA Partner JTeam Innovating J2EE Development Wednesday, April 1, 2009
  27. 27. Good Documentation • Nice reference document • Patterns catalogue available online • Lots of examples JTeam Innovating J2EE Development Wednesday, April 1, 2009
  28. 28. Lightweight • ANTLR • CGLIB • LOG4J JTeam Innovating J2EE Development Wednesday, April 1, 2009
  29. 29. Ohloh Analysis Summary JTeam Innovating J2EE Development Wednesday, April 1, 2009
  30. 30. Pluggability • Works with any Java Process • OSGI Enabled JTeam Innovating J2EE Development Wednesday, April 1, 2009
  31. 31. Architecture ESPER Engine EPServiceProvider Event EPL JDB Objects Statements Confi C gurat Adap ion Listeners ter Subscribers JTeam Innovating J2EE Development Wednesday, April 1, 2009
  32. 32. API Overview • EPServiceProvider • Acts as Engine • EPStatement • Queries written in EQL • UpdateListener JTeam Innovating J2EE Development Wednesday, April 1, 2009
  33. 33. Event • POJOs • Key value pairs (java.util.Map) • XML Documents JTeam Innovating J2EE Development Wednesday, April 1, 2009
  34. 34. Event JTeam Innovating J2EE Development Wednesday, April 1, 2009
  35. 35. Event Properties Type Syntax Example Simple name sensor Indexed name[index] sensor[0] Mapped name(key) sensor(‘light’) Nested name.nested sensor.value Name JTeam Innovating J2EE Development Wednesday, April 1, 2009
  36. 36. UpdateListener Receives updated data as soon as it is processed for the statement. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  37. 37. Subscriber • Must provide a method by name update to receive insert stream events row-by- row • The number and types of parameters declared by the update method must match the number and types of columns as specified in the select clause, in the same order as in the select clause • JTeam Innovating J2EE Development Wednesday, April 1, 2009
  38. 38. Subscriber select orderId, price, count(*) from OrderEvent public class MySubscriber { ... public void update(String orderId, double price, long count) {...} } JTeam Innovating J2EE Development Wednesday, April 1, 2009
  39. 39. Esper Engine Integration • Obtain an Esper engine instance • Create a statement (using the Esper query language) • Register the statement with the engine • Create a listener (by implementing a Java interface that will be triggered when the statement evaluates to true) and attach it to the statement JTeam Innovating J2EE Development Wednesday, April 1, 2009
  40. 40. Esper Engine Integration //Register events Configuration configuration = new Configuration(); configuration.addEventType("TempEvent", BodyTemperatureEvent.class.getName()); // Get Esper CEP Engine EPServiceProvider cepEngine = EPServiceProviderManager.getProvider("esper-sports- poc", configuration); // Create EPStatement PlayerBMIStatement playerBMIStatement = new PlayerBMIStatement(cepEngine.getEPAdministrator()); playerBMIStatement.addListener(new PlayerBMIListener()); // Dispatch Event cepEngine.getEPRuntime().sendEvent(eventInstance); JTeam Innovating J2EE Development Wednesday, April 1, 2009
  41. 41. EPL Similar to SQL Stream Name BP Event Ross 110 Rachel 120 Joe 100 JTeam Innovating J2EE Development Wednesday, April 1, 2009
  42. 42. Sliding Window Support JTeam Innovating J2EE Development Wednesday, April 1, 2009
  43. 43. Streams Input stream denotes new events arriving, the term remove stream denotes events leaving a data window. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  44. 44. Windows • win:length(4) • win:time(4 sec) • win:time_batch(4 sec) • win:length_batch(4) JTeam Innovating J2EE Development Wednesday, April 1, 2009
  45. 45. Batch Time Window JTeam Innovating J2EE Development Wednesday, April 1, 2009
  46. 46. Named Windows • Analogous to database views • Created using SELECT queries • Define window (view) first and insert data create window OrdersTimeWindow.win:time(30 sec) as select symbol, volume, price from OrderEvent JTeam Innovating J2EE Development Wednesday, April 1, 2009
  47. 47. Filters select * from Withdrawal(amount>=200).win:le ngth(5) JTeam Innovating J2EE Development Wednesday, April 1, 2009
  48. 48. Aggregations • sum • avg • count • min/max • stddev JTeam Innovating J2EE Development Wednesday, April 1, 2009
  49. 49. Output Rate Limiting Engine dispatches to Listener when output condition occurs. e.g. select irstream symbol, volume, price from MarketData.win:time(5.5 sec) output every 1 seconds JTeam Innovating J2EE Development Wednesday, April 1, 2009
  50. 50. Event Patterns Pattern Expression = Pattern atoms + Pattern Operators every (spike=ServiceMeasurement(latency>20000) or error=ServiceMeasurement(success=false)) select s from pattern [every s=SubmitOrderEvent -> (timer:interval(30 sec) and not OrderAcceptedEvent(theOrder.id=s.theOrder.id))] JTeam Innovating J2EE Development Wednesday, April 1, 2009
  51. 51. RDBMS Integration JTeam Innovating J2EE Development Wednesday, April 1, 2009
  52. 52. RDBMS Integration select name, healthy_temp from TempEvent.win:time(60 sec) temp, sql:mydb3 [' select name,healthy_temp from Player where name = ${temp.playerName} and $ {temp.temperature} > healthy_temp '] JTeam Innovating J2EE Development Wednesday, April 1, 2009
  53. 53. Non Event Based Data Integration public class InstrumentRepository { public static Exchange[] getExchangesForSymbol(String symbol) { ... } select ord, eligibleExchanges from TheOrder as ord, method:com.ociweb.jnb.esper.InstrumentRepository.ge tExchangesForSymbol(ord.symbol) as eligibleExchanges } JTeam Innovating J2EE Development Wednesday, April 1, 2009
  54. 54. CEP Design Patterns (1/9) Filtering: e.g. Click-stream analysis: a filter may be used to capture the trades that originate from a certain set of IP addresses. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  55. 55. CEP Design Patterns (2/9) In Memory Caching: e.g. Click-stream analysis: a typical application may hold the recent clicks and searches performed by the users, coupled with the relevant historical and reference information. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  56. 56. CEP Design Patterns (3/9) Aggregation over Windows: e.g. Click-stream analysis: it is often useful to compute the number of visitors who click on a particular link within a specified time interval. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  57. 57. CEP Design Patterns (4/9) Database Lookups: e.g. Trading: a trading application may look up historical price for a stock, or certain information about an order, or certain rules and regulations stored in a database. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  58. 58. CEP Design Patterns (5/9) Database Writes: e.g. Click-stream analysis: storing the raw click-stream history, together with derived data, in the database JTeam Innovating J2EE Development Wednesday, April 1, 2009
  59. 59. CEP Design Patterns (6/9) Correlation (Joins): e.g. Trading: correlating information from multiple exchanges to find arbitrage opportunities. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  60. 60. CEP Design Patterns (7/9) Event Pattern Matching: e.g. Fraud detection: fraud patterns are often described as a sequence of events, in one or more streams. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  61. 61. CEP Design Patterns (8/9) Hierarchical Events: e.g. Order Processing: Purchase Order can have multiple items which needs to be processed differently. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  62. 62. CEP Design Patterns (9/9) Dynamic Queries: e.g. Trading environments: every trader can enter their subscriptions like X=MSFT, Y=.1%, Z=10 am. JTeam Innovating J2EE Development Wednesday, April 1, 2009
  63. 63. EsperIO Provides adapters support: • CSVAdapter • JMSAdapter • OpenTick Adapter JTeam Innovating J2EE Development Wednesday, April 1, 2009
  64. 64. Demo JTeam Innovating J2EE Development Wednesday, April 1, 2009
  65. 65. Performance Tips // Better performance select * from RFIDEvent // Less good performance select assetId, zone, xlocation, ylocation from RFIDEvent JTeam Innovating J2EE Development Wednesday, April 1, 2009
  66. 66. Conclusion Do I really need it? Do I have the right infrastructure? JTeam Innovating J2EE Development Wednesday, April 1, 2009
  67. 67. Conclusion • Learning Curve of EPL • No Standardization of EPL • EPL is still evolving JTeam Innovating J2EE Development Wednesday, April 1, 2009
  68. 68. Questions? JTeam Innovating J2EE Development Wednesday, April 1, 2009
  69. 69. CEP in Dutch Market • KLM - TIBCO • Boekhandels Groep Nederlands (BGN) JTeam Innovating J2EE Development Wednesday, April 1, 2009
  70. 70. Resources Esper http://esper.codehaus.org/ http://complexevents.com/ CEP http://www.cepbusinesscast.com/ Open Source SOA JTeam Innovating J2EE Development Wednesday, April 1, 2009

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