Querying a Channel Once the event source, channel, and processor are
1.1.1.2 Relations
Time varying relation R is a mapping from the time domain to an unbounded bag of tuples to the schema of R. A relation is an unordered, time-varying bag of tuples: in other words, an instantaneous relation. At every instant of time, a relation is a bounded set. It can also be represented as a sequence of timestamped tuples that includes insertions, deletions, and updates to capture the changing state of the relation. Like streams, relations have a fixed schema to which all tuples conform. Oracle CEP supports both base and derived streams and relations. The external sources supply data to the base streams and relations. A base explicit stream is a source data stream that arrives at an Oracle CEP adapter so that time is non-decreasing. That is, there could be events that carry same value of time. A derived implicit streamrelation is an intermediate streamrelation that query operators produce. Note that these intermediate operators can be named through views and can therefore be specified in further queries. A base relation is an input relation. A derived relation is an intermediate relation that query operators produce. Note that these intermediate operators can be named through views and can therefore be specified in further queries. In Oracle CEP, you do not create base relations yourself. The Oracle CEP server creates base relations for you as required. When we say that a relation is a time-varying bag of tuples, time refers to an instant in the time domain. Input relations are presented to the system as a sequence of timestamped updates which capture how the relation changes over time. An update is either a tuple insertion or deletion. The updates are required to arrive at the system in the order of increasing timestamps. For more information, see: ■ Channels Representing Streams and Relations in the Oracle Complex Event Processing Developers Guide for Eclipse ■ Section 1.1.13, Time1.1.1.3 Relations and Oracle CEP Tuple Kind Indicator
By default, Oracle CEP includes time stamp and an Oracle CEP tuple kind indicator in the relations it generates as Example 1–6 shows. Example 1–6 Oracle CEP Tuple Kind Indicator in Relation Output Timestamp Tuple Kind Tuple 1000: + ,abc,abc 2000: + hihi,abchi,hiabc 6000: - ,abc,abc 7000: - hihi,abchi,hiabc 8000: + hi1hi1,abchi1,hi1abc 9000: + ,abc,abc 13000: - hi1hi1,abchi1,hi1abc 14000: - ,abc,abc 15000: + xyzxyz,abcxyz,xyzabc 20000: - xyzxyz,abcxyz,xyzabc The Oracle CEP tuple kind indicators are:Parts
» 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
» Number Format Models Format Models
» 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
» Logical Conditions Oracle Fusion Middleware Online Documentation Library
» Range Conditions Oracle Fusion Middleware Online Documentation Library
» Null Conditions Compound Conditions
» 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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