trait Message extends AnyRef
An IPFIX stream consists of Messages, which contain Sets (represented by the IpfixSet class). The Message trait exposes data that applies to all Sets and Records within that Message.
A message is collected as part of a Session.
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-   abstract  def dataRecordCount: IntReturns the number of data records in this Message. Returns the number of data records in this Message. - returns
- the count of data records 
 
-   abstract  def exportEpochMilliseconds: LongGets the export time of the message, as a number of milliseconds since 1970-01-01T00:00:00. Gets the export time of the message, as a number of milliseconds since 1970-01-01T00:00:00. - returns
- export time in milliseconds 
 
-   abstract  def exportEpochSeconds: LongGets the export time of the message, as a number of seconds since 1970-01-01T00:00:00. Gets the export time of the message, as a number of seconds since 1970-01-01T00:00:00. - returns
- export time in seconds 
 
-   abstract  def exportTime: InstantGets the export time of the message. Gets the export time of the message. - returns
- message export time 
 
-   abstract  def observationID: IntGets the observation domain identifier associated with the message. Gets the observation domain identifier associated with the message. - returns
- the observation domain id 
 
-   abstract  def sequenceNumber: LongGets the sequence number of the message. Gets the sequence number of the message. The sequence number is unique per domain, and is the complete number of data records that have been sent in the session prior to this message. It can be used to calculate statistics about missing data records. - returns
- the sequence number 
 
-   abstract  def session: SessionReturns a session that can be used to interpret template ids in this message. Returns a session that can be used to interpret template ids in this message. - returns
- the session associated with this message 
 
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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-datalibrary, 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-ipfixlibrary 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-silklibrary.org.cert.netsa.util
The "junk drawer" of
netsa-utilso far provides only two features: First, a method for equipping Scala 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-datasourceslibrary contains both IPFIX and SiLK functionality, whilemothra-datasources-ipfixandmothra-datasources-silkcontain 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-functionslibrary.