Event Sources Event Sources and Event Sinks
1.1.8.2 Event Sinks
An Oracle CQL event sink connected to a CQL processor is a consumer of query results. In Oracle CEP, the following elements may be event sinks: ■ adapter JMS, HTTP, and file ■ channel ■ processor ■ cache You can associate the same query with more than one event sink and with different types of event sink.1.1.8.3 Connecting Event Sources and Event Sinks
In Oracle CEP, you define event sources and event sinks using Oracle CEP IDE for Eclipse to create the Event Processing Network EPN as Figure 1–5 shows. In this EPN, adapter PriceAdapter is the event source for channel priceStream; channel priceStream is the event source for Oracle CQL processor filterFanoutProcessor. Similarly, Oracle CQL processor filterFanoutProcessor is the event sink for channel priceStream. Figure 1–5 Event Sources and Event Sinks in the Event Processing Network For more information, see: ■ Section 1.1.1, Streams and Relations ■ Section 18.1, Introduction to Oracle CQL Queries, Views, and Joins ■ Oracle Complex Event Processing Developers Guide for Eclipse1.1.9 Table Event Sources
Using Oracle CQL, you can access tabular data, including: ■ Section 1.1.9.1, Relational Database Table Event Sources ■ Section 1.1.9.2, XML Table Event Sources ■ Section 1.1.9.3, Function Table Event Sources For more information, see Section 1.1.8, Event Sources and Event Sinks 1-16 Oracle Complex Event Processing CQL Language Reference1.1.9.1 Relational Database Table Event Sources
Using an Oracle CQL processor, you can specify a relational database table as an event source. You can query this event source, join it with other event sources, and so on. For more information, see Section 18.6, Oracle CQL Queries and Relational Database Tables .1.1.9.2 XML Table Event Sources
Using the Oracle CQL XMLTABLE clause, you can parse data from an xmltype stream into columns using XPath expressions and conveniently access the data by column name. For more information, see Section 18.2.6, XMLTable Query .1.1.9.3 Function Table Event Sources
Use the TABLE clause to access, as a relation, the multiple rows returned by a built-in or user-defined function, as an array or Collection type, in the FROM clause of an Oracle CQL query. For more information, see: ■ Section 18.2.7, Function TABLE Query ■ Section 1.1.11, Functions1.1.10 Cache Event Sources
Using an Oracle CQL processor, you can specify an Oracle CEP cache as an event source. You can query this event source and join it with other event sources using a now window only. For more information, see: ■ Section 1.1.8, Event Sources and Event SinksParts
» Oracle Fusion Middleware Online Documentation Library
» Streams and Channels Oracle CEP represents a stream as a channel as
» Channel Schema The event source you connect to a stream determines the
» Querying a Channel Once the event source, channel, and processor are
» Controlling Which Queries Output to a Downstream Channel If you specify more
» Relations Relations and Oracle CEP Tuple Kind Indicator
» Range, Rows, and Slide at Query Start-Up and for Empty Relations The descriptions
» Partition Stream-to-Relation Operators Windows
» Default Stream-to-Relation Operator Stream-to-Relation Operators Windows
» Relation-to-Relation Operators Stream-to-Stream Operators
» Event Sources Event Sources and Event Sinks
» Relational Database Table Event Sources
» Function Table Event Sources
» Pattern Recognition Cache Event Sources Functions
» Data Cartridges Fundamentals of Oracle CQL
» Lexical Conventions Oracle CQL Statements
» Oracle CQL and SQL Standards
» Oracle CEP Visualizer Oracle CEP Tools
» Oracle CQL Built-in Datatypes
» Numeric Values Datatype Comparison Rules
» Date Values Datatype Comparison Rules
» Implicit Datatype Conversion Datatype Conversion
» Explicit Datatype Conversion Datatype Conversion
» SQL Datatype Conversion Datatype Conversion
» Oracle Data Cartridge Datatype Conversion
» User-Defined Function Datatype Conversion
» Integer Literals Numeric Literals
» Floating-Point Literals Numeric Literals
» Text Literals Datetime Literals
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» Aliases in the relation_variable Clause
» How to Define a Data Type Alias Using the Aliases Element
» Schema Object Naming Guidelines Schema Object Naming Examples
» ELEMENT_TIME for a System-Timestamped Stream
» Using ELEMENT_TIME With SELECT
» Using ELEMENT_TIME With GROUP BY
» Using ELEMENT_TIME With PATTERN
» What You May Need to Know About Unary and Binary Operators
» What You May Need to Know About Operator Precedence
» Comparison Conditions Oracle Fusion Middleware Online Documentation Library
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» Using IN and NOT IN as a Set Operation Using IN and NOT IN as a Membership Condition
» Introduction to Common Oracle CQL DDL Clauses
» Introduction to Oracle CQL Built-In Single-Row Functions
» Built-In Aggregate Functions and the Where, Group By, and Having Clauses
» Introduction to Oracle CQLBuilt-In Single-Row Colt Functions
» double c Oracle Fusion Middleware Online Documentation Library
» Introduction to Oracle CQL Built-In java.lang.Math Functions
» User-Defined Single-Row Functions Types of User-Defined Functions
» How to Implement a User-Defined Single-Row Function
» How to Implement a User-Defined Aggregate Function
» Data Cartridge Name Data Cartridge Application Context
» Oracle CQL Data Cartridge Types
» Application Class Space Policy
» No Automatic Import Class Space Policy Server Class Space Policy
» Class Loading Example Class Loading
» Data Cartridge Name Method Resolution
» How to Query Using the Java API How to Query Using Exported Java Classes
» Data Cartridge Name Understanding Oracle Spatial
» Element Info Array Ordinates and Coordinate Systems and the SDO_SRID
» Geometric Relation Operators Scope
» com.oracle.cep.cartridge.spatial.Geometry Methods
» oracle.spatial.geometry.JGeometry Methods The following JGeometry public
» Datatype Mapping Oracle Spatial Application Context
» How to Access the Geometry Types That the Oracle Spatial Java API Supports
» How to Create a Geometry How to Access Geometry Type Public Methods and Fields
» Data Cartridge Name Understanding the Oracle CEP JDBC Data Cartridge
» Scope Understanding the Oracle CEP JDBC Data Cartridge
» Datatype Mapping Understanding the Oracle CEP JDBC Data Cartridge
» function Element Attributes Defining SQL Statements: function Element
» Multiple Parameter JDBC Cartridge Context Functions Using the Oracle CEP
» Overloading JDBC Cartridge Context Functions Using the Oracle CEP JDBC data
» Using SELECT List Aliases Using the TABLE Clause
» Using a Native CQL Type as a return-component-type
» How to Create an Oracle CQL Query
» Where Clause Query Building Blocks
» MATCH_RECOGNIZE Query Queries
» Relational Database Table Query XMLTable Query
» Function TABLE Query Queries
» Sorting Query Results Queries
» Detecting Differences in Query Results
» Parameterized Queries in Oracle CQL Statements
» The bindings Element Parameterized Queries
» Run-Time Query Naming Lexical Conventions for Parameter Values
» Views and Joins Views and Schemas
» Cache Key First and Simple Equality No Arithmetic Operations on Cache Keys
» Oracle CQL Queries and Oracle Data Cartridges
» MATCH_RECOGNIZE and the WHERE Clause Referencing Singleton and Group Matches
» Running Aggregates and Final Aggregates
» Operating on the Same Correlation Variable Referencing Variables That Have not Been Matched Yet
» Using prev Understanding Pattern Recognition With MATCH_RECOGNIZE
» Functions Over Correlation Variables in the MEASURES Clause
» Pattern Quantifiers and Regular Expressions
» Referencing One Correlation Variable From Another in the DEFINE Clause
» PARTITION BY Clause Oracle Fusion Middleware Online Documentation Library
» ORDER BY Clause ALL MATCHES Clause
» WITHIN Clause Oracle Fusion Middleware Online Documentation Library
» Fixed Duration Non-Event Detection
» Recurring Non-Event Detection DURATION Clause
» INCLUDE TIMER EVENTS Clause SUBSET Clause
» Pattern Detection MATCH_RECOGNIZE Examples
» Pattern Detection With PARTITION BY
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