![]() You might wonder "this syntax looks similar to Python?" Well, it is! The build process actually parses the spec files as Python code and meta-programs necessary C/C++ implementation files. Shoot for simplicity, try to avoid things like inheritance for Column objects, loops in your table spec, etc. implementation( can leave the comments out in your production spec. # Use the to communicate the C++ symbol name. Column( "hour", INTEGER, "The current hour"),Ĭolumn( "minutes", INTEGER, "The current minutes past the hour"),Ĭolumn( "seconds", INTEGER, "The current seconds past the minute"), # The supported types are INTEGER, BIGINT, TEXT, DATE, and DATETIME. # Declare the name, type, and documentation description for each column. # You may also describe foreign keys and "action" columns. # Define your schema, which accepts a list of Column instances at minimum. # Provide a short "one line" description, please use punctuation! description( "Returns the current hour, minutes, and seconds.") table file is called a "spec" and is written in Python # This syntax (several definitions) is defined in /tools/codegen/gentable.py. specs/time_example.table would look like the following: The current specs are organized by operating system in the specs source folder.įor our time exercise, a new spec file written to. To make table-creation simple, osquery uses a table spec file. osquery has abstracted this complexity away, allowing you to write a simple table declaration. The default API for creating virtual tables is relatively complex. Under the hood, osquery uses libraries from SQLite core to create "virtual tables". The table will have one row, and that row will have three columns: hour, minute, and second.Ĭolumn values (a single row) will be dynamically computed at query time. Let's walk through an exercise where we build a 'time' table. Tables that are up for grabs in terms of development can be found on GitHub issues using the "virtual tables" + " up for grabs tag". While osquery ships with a default set of tables, osquery provides an API that allows you to create new tables. This allows for a rich data exploration experience. SQL tables are used to represent abstract operating system concepts, such as running processes.Ī table can be used in conjunction with other tables via operations like sub-queries and joins. width + Set column widths for "column" mode trace FILE|off Output each SQL statement as it is run show Show the current values for various settings separator STR Change separator used by output mode and. nullvalue STR Use STRING in place of NULL values mode MODE Set output mode where MODE is one of:Ĭolumn Left-aligned columns. header(s) ON|OFF Turn display of headers on or off bail ON|OFF Stop after hitting an error default OFF You are connected to a transient 'in-memory' virtual database. Osquery> SELECT name, path, pid FROM processes where name= "java" Package: osquery-s3-centos6-repo-1-0.0.noarch (installed)įrom : /etc/pki/rpm-gpg/OSQUERY-S3-RPM-REPO-GPGKEY ![]() Retrieving key from file:///etc/pki/rpm-gpg/OSQUERY-S3-RPM-REPO-GPGKEY Warning: rpmts_HdrFromFdno: Header V4 RSA/SHA1 Signature, key ID c9d8b80b: NOKEY Osquery-s3-centos6-repo/primary_db | 11 kB 00:00 Loading mirror speeds from cached hostfile # ġ:osquery-s3-centos6-repo# ~]# yum install osquery Warning: /var/tmp/rpm-tmp.rCrgXh: Header V4 RSA/SHA1 Signature, key ID c9d8b80b: NOKEY Whether your goal is intrusion detection, infrastructure reliability, or compliance, osquery gives you the ability to empower and inform a broad set of organizations within your company. Osquery allows you to easily ask questions about your Linux and OSX infrastructure.
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