object IEFieldSpecifier extends Serializable
An IEFieldSpecifier factory.
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- def apply(infoModel: InfoModel, name: String, length: Int): IEFieldSpecifier
A field specifier using the Identifier of the Information Element found by searching
infoModel
for the element whose name isname
and the specifiedlength
.A field specifier using the Identifier of the Information Element found by searching
infoModel
for the element whose name isname
and the specifiedlength
.- infoModel
The InfoModel to search
- name
The name of the InfoElement to find in
infoModel
- length
The octet length of the element
- Exceptions thrown
IllegalFieldSpecifierException
iflength
is negative or larger than VARLEN.java.util.NoSuchElementException
ifname
is not known toinfoModel
.
- def apply(pair: (InfoElement, Int)): IEFieldSpecifier
A field specifier from an InfoElement, length pair.
A field specifier from an InfoElement, length pair.
- pair
A tuple of the InfoElement and its length
- Exceptions thrown
IllegalFieldSpecifierException
iflength
is negative or larger than VARLEN.
- def apply(infoElement: InfoElement, length: Int): IEFieldSpecifier
A field specifier with the Identifier of the specified
infoElement
and the specifiedlength
.A field specifier with the Identifier of the specified
infoElement
and the specifiedlength
.- infoElement
The InfoElement to use
- length
The octet length of the element
- Exceptions thrown
IllegalFieldSpecifierException
iflength
is negative or larger than VARLEN.
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- def fromBuffer(buffer: ByteBuffer): IEFieldSpecifier
Creates a field specifier by reading the element's identifier and length from a buffer containing two 16-bit values and an optional 32-bit Private Enterprise Number.
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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.