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Tables enable analysis and correlation of network state information and parameters on the fly. Most of the tables display live snapshot data generated by graph algorithms without a preexisting cache. The first load of a large table usually takes longer than subsequent loads, however all tables were built to handle large capacities and complex queries, so the outcome is likely to be better than analyzing the output in external applications like Excel.

Network Or Site View

Tables display data for the whole network by default. To only display data for a specific site, select “site” from the drop down menu on the top left.

Table Filtering

Simple or advanced filters can be applied to each table. By default, filtering is available above each column, and accepted filtering values can be strings, numbers, IP addresses, networks, boolean values, or select box values.

RegEx can be used in a string filter by adding =~ after the expression. An exact match of the value can be achieved by adding = before the expression. For more information about supported RegEx, check the section below.

Fields containing IP Addresses can be filtered by entering the IP/prefix length in the CIDR notation. For example, will find addresses between and including and

Advanced filters can be used to construct arbitrary complex expressions by combining nested filters and filter groups with any number of logical AND and OR operators between them. Advanced filters can be saved and recalled for each specific table. Filters are stored per table and are available to all users.

Table Exports

Table outputs can be exported into CSV format for further processing and the text can be opened by any spreadsheet processor. In some cases, Microsoft Excel and Google Spreadsheets convert strings from the CSV files into dates, but these can remain as exact values by renaming the content to string to force the spreadsheet to retain the original content.


It may take several seconds to prepare an export of large tables.


Each table contains built in help with the table description by clicking on the question mark tooltip.

Hover the mouse over the column name for a description of column content.

Column Visibility

Tables can be especially large to facilitate easier information correlation, however not all columns need to always be visible. To hide or show individual columns, click the visibility (toggle column visibility) button and select which the columns to be displayed. The first column can be set as “sticky” to facilitate analysis of tables with many columns. Row height can be adjusted by selecting small, medium or large font.

Persistent Table View

To improve usability, each table remembers the settings and filtering for each user. To reset a table to it’s original state, click the restore (restore table settings) button on the right hand side of the column header.

Regular Expression Syntax

A regular expression may consist of literal characters and the following characters and sequences:

  • . – the dot matches any single character except line terminators. To include line terminators, use [\s\S] instead to simulate . with DOTALL flag.
  • \d – matches a single digit, equivalent to [0-9]
  • \s – matches a single whitespace character
  • \S – matches a single non-whitespace character
  • \b – matches a word boundary. This match is zero-length
  • \B – Negation of \b. The match is zero-length
  • [xyz] – set of characters. Matches any of the enclosed characters (here: x, y, or z)
  • [^xyz] – negated set of characters. Matches any other character than the enclosed ones (i.e. anything but x, y, or z in this case)
  • [x-z] – range of characters. Matches any of the characters in the specified range, e.g. [0-9A-F] to match any character in 0123456789ABCDEF
  • [^x-z] – negated range of characters. Matches any other character than the ones specified in the range
  • (xyz) – defines and matches a pattern group. Also defines a capturing group.
  • (?:xyz) – defines and matches a pattern group without capturing the match
  • (xy|z) – matches either xy or z
  • ^ – matches the beginning of the string (e.g. ^xyz)
  • $ – matches the end of the string (e.g. xyz$)

To literally match one of the characters that have a special meaning in regular expressions (., *, ?, [, ], (, ), {, }, ^, $, and \) you may need to escape the character with a backslash, which typically requires escaping itself. The backslash of shorthand character classes like \d, \s, and \b counts as literal backslash. The backslash of JSON escape sequences like \t (tabulation), \r (carriage return), and \n (line feed) does not, however.

Literal backlashes require different amounts of escaping depending on the context

  • \ in bind variables (Table view mode) in the Web UI (automatically escaped to \\ unless the value is wrapped in double quotes and already escaped properly)
  • \\ in bind variables (JSON view mode) and queries in the Web UI
  • \\ in bind variables in arangosh
  • \\\\ in queries in arangosh
  • Double the amount compared to arangosh in shells that use backslashes for escaping (\\\\ in bind variables and \\\\\\\\ in queries)

Characters and sequences may optionally be repeated using the following quantifiers:

  • x? – matches one or zero occurrences of x
  • x* – matches zero or more occurrences of x (greedy)
  • x+ – matches one or more occurrences of x (greedy)
  • x*? – matches zero or more occurrences of x (non-greedy)
  • x+? – matches one or more occurrences of x (non-greedy)
  • x{y} – matches exactly y occurrences of x
  • x{y,z} – matches between y and z occurrences of x
  • x{y,} – matches at least y occurrences of x

Note that xyz+ matches xyzzz, but if you want to match xyzxyz instead, you need to define a pattern group by wrapping the sub-expression in parentheses and place the quantifier right behind it, like (xyz)+.

You can use 3rd party services, like regex101 to fine-tune and troubleshoot your regular expressions.