final case class Identifier(elementId: Int, enterpriseId: Long = 0L) extends Ordered[Identifier] with Product with Serializable
An Information Element Identifier provides a way to identify an Information Element of an Information Model. The Identifier is also used when creating a Field Specifier.
An Identifier consists of two numbers: an Element ID and an optional Private Enterprise Number (PEN). An absent PEN is represented as a zero value. The valid range of the Element ID is 1 to 32767 (0x7fff) inclusive. The valid range of Enterprise ID is 1 to 4294967295 (0xffffffff).
- elementId
The numeric identifier for the element.
- enterpriseId
The PEN for the element.
- Exceptions thrown
IllegalInfoElementAttributeException
when both the elementId and enterpriseId are 0, when the elementId is negative or larger than 32767 (0x7fff), or when the enterpriseId is not representable as an unsigned 32-bit number.
- Alphabetic
- By Inheritance
- Identifier
- Serializable
- Product
- Equals
- Ordered
- Comparable
- AnyRef
- Any
- Hide All
- Show All
- Public
- Protected
Instance Constructors
- new Identifier(elementId: Int, enterpriseId: Long = 0L)
- elementId
The numeric identifier for the element.
- enterpriseId
The PEN for the element.
- Exceptions thrown
IllegalInfoElementAttributeException
when both the elementId and enterpriseId are 0, when the elementId is negative or larger than 32767 (0x7fff), or when the enterpriseId is not representable as an unsigned 32-bit number.
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- def <(that: Identifier): Boolean
- Definition Classes
- Ordered
- def <=(that: Identifier): Boolean
- Definition Classes
- Ordered
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- def >(that: Identifier): Boolean
- Definition Classes
- Ordered
- def >=(that: Identifier): Boolean
- Definition Classes
- Ordered
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- def compare(that: Identifier): Int
- Definition Classes
- Identifier → Ordered
- def compareTo(that: Identifier): Int
- Definition Classes
- Ordered → Comparable
- val elementId: Int
- val enterpriseId: Long
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.Throwable])
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def toString(): String
- Definition Classes
- Identifier → AnyRef → Any
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
This is documentation for Mothra, a collection of Scala and Spark library functions for working with Internet-related data. Some modules contain APIs of general use to Scala programmers. Some modules make those tools more useful on Spark data-processing systems.
Please see the documentation for the individual packages for more details on their use.
Scala Packages
These packages are useful in Scala code without involving Spark:
org.cert.netsa.data
This package, which is collected as the
netsa-data
library, provides types for working with various kinds of information:org.cert.netsa.data.net
- types for working with network dataorg.cert.netsa.data.time
- types for working with time dataorg.cert.netsa.data.unsigned
- types for working with unsigned integral valuesorg.cert.netsa.io.ipfix
The
netsa-io-ipfix
library provides tools for reading and writing IETF IPFIX data from various connections and files.org.cert.netsa.io.silk
To read and write CERT NetSA SiLK file formats and configuration files, use the
netsa-io-silk
library.org.cert.netsa.util
The "junk drawer" of
netsa-util
so far provides only two features: First, a method for equipping Scala scala.collection.Iterators with exception handling. And second, a way to query the versions of NetSA libraries present in a JVM at runtime.Spark Packages
These packages require the use of Apache Spark:
org.cert.netsa.mothra.datasources
Spark datasources for CERT file types. This package contains utility features which add methods to Apache Spark DataFrameReader objects, allowing IPFIX and SiLK flows to be opened using simple
spark.read...
calls.The
mothra-datasources
library contains both IPFIX and SiLK functionality, whilemothra-datasources-ipfix
andmothra-datasources-silk
contain only what's needed for the named datasource.org.cert.netsa.mothra.analysis
A grab-bag of analysis helper functions and example analyses.
org.cert.netsa.mothra.functions
This single Scala object provides Spark SQL functions for working with network data. It is the entirety of the
mothra-functions
library.