object IPAddress
Factory for IPAddress instances.
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- def apply(bs: Array[Byte]): IPAddress
Construct an IP address from an
Array[Byte]
representing the bytes of the address.Construct an IP address from an
Array[Byte]
representing the bytes of the address. If the byte array is of length 4, an IPv4Address will be produced. If the byte array is of length 16, an IPv6Address will be produced. Any other length array will result in aIllegalArgumentException
.- bs
array of address bytes
- returns
IPv4 or IPv6 address encoded by the array
- Exceptions thrown
java.lang.IllegalArgumentException
if the array is of an invalid length- See also
- def apply(s: String): IPAddress
Construct an IP address from a valid string representation (legal IPv4 and IPv6 addresses are allowed).
Construct an IP address from a valid string representation (legal IPv4 and IPv6 addresses are allowed). The resulting object will be either an IPv4Address if the address was parsable as IPv4, or an IPv6Address otherwise.
- s
string representation of address
- Exceptions thrown
java.text.ParseException
when the string does not represent a valid IP address- See also
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- implicit def ipAddressOrdering[A <: IPAddress]: Ordering[A]
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- def maxValue: IPAddress
Maximum value of IPAddresses
- def minValue: IPAddress
Minimum value of IPAddresses
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- def parseOption(s: String): Option[IPAddress]
Construct an IP address from a valid string representation (legal IPv4 and IPv6 addresses are allowed).
Construct an IP address from a valid string representation (legal IPv4 and IPv6 addresses are allowed). The resulting object will be
None
if the string was not parsable, orSome(a)
wherea
is either an IPv4Address if the address was parsable as IPv4, or an IPv6Address otherwise.- s
string representation of address
- returns
None
if the string is not parsable, orSome(a)
where a is an IPAddress, otherwise.
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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.