abstract class ListElement extends AnyRef
An abstract class that represents an element in a Record that is a structured data; i.e., a BasicList, a SubTemplateList, or a SubTemplateMultiList.
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Instance Constructors
- new ListElement()
Abstract Value Members
- abstract def allBasicListElements: Set[InfoElement]
Creates a Set containing the InfoElement used by any BasicList on this list and its sub-lists, recursively.
- abstract def allTemplates: Set[Template]
Creates a Set containing the
Template
s used by the list and any sub-lists, recursively. - abstract def apply(idx: Int): Record
Returns a Record that represents an entry in the list.
Returns a Record that represents an entry in the list.
- idx
The index of the entry to return. Entries are numbered from 0 up to
size
.
- abstract def formatted: String
- abstract def iterator: Iterator[Record]
Returns an iterator over the records in the list.
- abstract def octetLength: Int
Returns the length of the ListElement when writing to an IPFIX stream.
- abstract val semanticId: Short
The ID of the semantic value for the list.
The ID of the semantic value for the list.
- Attributes
- protected
- abstract def size: Int
Returns the number of entries in the list.
- abstract def toBuffer(outbuf: ByteBuffer, session: Session): ByteBuffer
Appends the list to a buffer for writing to an IPFIX stream.
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- final def !=(arg0: Any): Boolean
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- def readSemanticId(buffer: ByteBuffer): Short
Read the semanticId
Read the semanticId
- Attributes
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- final lazy val semantics: ListSemantics
Returns the sematics of the elements in this list.
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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.