table

Description

The table command returns a table that is formed by only the fields that you specify in the arguments. Columns are displayed in the same order that fields are specified. Column headers are the field names. Rows are the field values. Each row represents an event.

The table command is similar to the fields command in that it lets you specify the fields you want to keep in your results. Use table command when you want to retain data in tabular format.

With the exception of a scatter plot to show trends in the relationships between discrete values of your data, you should not use the table command for charts. See Usage.

Syntax

table <wc-field-list>

Arguments

<wc-field-list>

Syntax: <wc-field> ...

Description: A list of valid field names. The list can be space-delimited or comma-delimited. You can use the asterisk ( * ) as a wildcard to specify a list of fields with similar names. For example, if you want to specify all fields that start with "value", you can use a wildcard such as value*.value*.

Usage

The table command is a transforming command. See Command types.

Visualizations

To generate visualizations, the search results must contain numeric, datetime, or aggregated data such as count, sum, or average.

Command type

The table command is a non-streaming command. If you are looking for a streaming command similar to the table command, use the fields command.

Field renaming

The table command doesn't let you rename fields, only specify the fields that you want to show in your tabulated results. If you're going to rename a field, do it before piping the results to table.

Truncated results

The table command truncates the number of results returned based on settings in the limits.conf file. In the [search] stanza, if the value for the truncate_report parameter is 1, the number of results returned is truncated.

The number of results is controlled by the max_count parameter in the [search] stanza. If truncate_report is set to 0, the max_count parameter is not applied.

Examples

Example 1

This example uses recent earthquake data downloaded from the USGS Earthquakes website. The data is a comma separated ASCII text file that contains magnitude (mag), coordinates (latitude, longitude), region (place), etc., for each earthquake recorded. You can download a current CSV file from the USGS Earthquake Feeds and add it as an input to your Splunk deployment.

Search for recent earthquakes in and around California and display only the time of the quake (Datetime), where it occurred (Region), and the quake's magnitude (Magnitude) and depth (Depth).

index=usgs_* source=usgs place=*California | table time, place, mag, depth

This simply reformats your events into a table and displays only the fields that you specified as arguments.

Example 2

This example uses recent earthquake data downloaded from the USGS Earthquakes website. The data is a comma separated ASCII text file that contains magnitude (mag), coordinates (latitude, longitude), region (place), etc., for each earthquake recorded. You can download a current CSV file from the USGS Earthquake Feeds and add it as an input to your Splunk deployment.

Show the date, time, coordinates, and magnitude of each recent earthquake in Northern California.

index=usgs_* source=usgs place=*California | rename lat as latitude lon as longitude | table time, place, lat*, lon*, mag

This example begins with a search for all recent earthquakes in Northern California (Region="Northern California").

Then it pipes these events into the rename command to change the names of the coordinate fields, from lat and lon to latitude and longitude. (The table command doesn't let you rename or reformat fields, only specify the fields that you want to show in your tabulated results.)

Finally, it pipes the results into the table command and specifies both coordinate fields with lat*, lon*, the magnitude with mag, and the date and time with time.

This example just illustrates how the table command syntax allows you to specify multiple fields using the asterisk wildcard.

Example 3

This example uses the sample dataset from the tutorial but should work with any format of Apache Web access log. Download the data set from the Add data tutorial and follow the instructions to get the sample data into your Splunk deployment. Then, run this search using the time range, All time.

Search for IP addresses and classify the network they belong to.

sourcetype=access_* | dedup clientip | eval network=if(cidrmatch("192.0.0.0/16", clientip), "local", "other") | table clientip, network

This example searches for Web access data and uses the dedup command to remove duplicate values of the IP addresses (clientip) that access the server. These results are piped into the eval command, which uses the cidrmatch() function to compare the IP addresses to a subnet range (192.0.0.0/16). This search also uses the if() function, which says that if the value of clientip falls in the subnet range, then network is given the value local. Otherwise, network=other.

The results are then piped into the table command to show only the distinct IP addresses (clientip) and the network classification (network):

More examples

Example 1: Create a table for fields foo, bar, then all fields that start with 'baz'.

... | table foo bar baz*

See Also

fields