Splunk® Enterprise

Splunk Dashboard Studio

This documentation does not apply to the most recent version of Splunk® Enterprise. For documentation on the most recent version, go to the latest release.

Trellis layout

Trellis is only available for single value visualizations.

Organize your search results with the trellis layout for a holistic view of your data. Trellis layout visualizes your search results by separating each field value or aggregation.

The search in the following example returns customer purchases by product category. Applying a trellis layout creates a view of each product category as its own single value visualization. 

index="sample-data" | stats count by productName

The "sample-data" in this example is a data set from the Search Tutorial in the Search Tutorial manual.

A visualization split into five columns and four rows. Each cell of the visualization is labeled by a game name with the number of customer purchases below the label.

Create a trellis layout

  1. Select a single value or single value radial visualization using the visual editor by clicking the Add chart dropdown menu in the editing toolbar. You can add a single value icon from the Add icon dropdown.
  2. Select the single value on your dashboard so that it's highlighted with the blue editing outline.
  3. Set up a new data source by selecting + Create search and adding a search to the Search query window. Or, select an existing data source under the Search, Saved search, or Chain search dropdown lists.
  4. Activate the trellis layout by toggling on Trellis layout in the Data display section of the Configuration panel.

You can also configure your visualization for the trellis layout by adding the splitByLayout:trellis option in the options stanza of your dashboard definition. The trellis layout might need some manual adjustment to fit your dashboard.

Configurations for trellis layout

Add the following trellis configurations to the options stanza of your dashboard definition for further customization.

Option Type Default Description
splitByLayout string off Specify the layout method to display the visualization, which splits the data into individual visualizations based on a specific category. The available values are off and trellis.
trellisBackgroundColor string > themes.defaultBackgroundColor Specify the background color of the whole panel in the trellis layout display. For example, #ff0000. You can use a hexadecimal code to apply the color. The default for Enterprise light is #ffffff. The default for Enterprise dark is #000000. The default for Prisma dark is #0b0c0e.
trellisColumns number n/a Specify the number of columns in a trellis layout container. For example, six columns allow six visualizations per row. Rows populate to accommodate the total number of visualizations. If no column number is specified, the number of columns is automatically set based on the value specified for trellisMinColumnWidth.
trellisMinColumnWidth number 100 Specify the minimum width, in pixels, of each visualization in the trellis container. If you resize the window or panel, you can view the remaining visualizations by scrolling.
trellisPageCount number 20 Specify the maximum number of visualizations to display on a single page in the trellis container. The remaining visualizations paginate accordingly.
trellisRowHeight number 70 Specify each visualization's height, in pixels, in the trellis container. If you resize the window or panel, you can view the remaining visualizations by scrolling.
trellisSplitBy string n/a If applicable, specify the column's field name with categories used or aggregations to split the data into individual visualizations for trellis display. If you use an SPL timechart command, this might default to the SPL by clause field. If you use an SPL chart command, this might default to the first string field.

Overview of data-splitting logic

The trellis layout splits data visualizations based on the SPL commands and associated metadata or configurations provided. The data-splitting logic defaults to SPL commands and associated metadata first, then option configurations. If you apply configuration options, any of those options could impact how the logic behaves with SPL commands or data field types. The following examples show different scenarios of data-splitting logic.

Split data with the timechart command

When using the SPL timechart command, the trellis layout defaults to an associated by clause. The following example shows how the trellis layout categorizes each single value visualization by product name as a result of the SPL search index="sample-data" | timechart count by productName. The "sample-data" in this example is a data set from the Search Tutorial in the Search Tutorial manual.

A visualization split into five columns and three rows. A game name labels each cell of the visualization with the number of customer purchases and an arrow indicating if the number has trended down or up and by how much.

A table split into seven columns and eight rows. The first column shows dates in ascending order. The remaining columns show different games and the number of customer purchases of each game for each date.

Source code

The following source code example shows a dashboard definition that uses the trellis layout and splits data with the timechart command. 

{
   "visualizations": {
       "viz_DgbNcpY7": {
           "type": "splunk.singlevalue",
           "options": {
               "splitByLayout": "trellis"
           },
           "dataSources": {
               "primary": "ds_RWdnS6Rc"
           }
       }
   },
   "dataSources": {
       "ds_RWdnS6Rc": {
           "type": "ds.search",
           "options": {
               "query": " index=\"sample-data\" | timechart count by productName"
           },
           "name": "Search_1"
       }
   },
   "defaults": {
       "dataSources": {
           "ds.search": {
               "options": {
                   "queryParameters": {
                       "latest": "$global_time.latest$",
                       "earliest": "$global_time.earliest$"
                   }
               }
           }
       }
   },
   "inputs": {
       "input_global_trp": {
           "type": "input.timerange",
           "options": {
               "token": "global_time",
               "defaultValue": "-24h@h,now"
           },
           "title": "Global Time Range"
       }
   },
   "layout": {
       "type": "absolute",
       "options": {
           "width": 1440,
           "height": 960,
           "display": "auto"
       },
       "structure": [
           {
               "item": "viz_DgbNcpY7",
               "type": "block",
               "position": {
                   "x": 300,
                   "y": 100,
                   "w": 700,
                   "h": 260
               }
           }
       ],
       "globalInputs": [
           "input_global_trp"
       ]
   },
   "description": "",
   "title": "Single value for trellis with timechart command"
}

Split data with the chart or stats commands

The trellis layout defaults to the first string field when using the SPL chart or stats command with one by clause. The following example shows how the trellis layout categorizes each single value visualization by the productName column as a result of the SPL search index="sample-data" | chart count by productName. The "sample-data" in this example is a data set from the Search Tutorial in the Search Tutorial manual.

A visualization split into five columns and four rows. A game name labels each cell of the visualization with the number of customer purchases.

A table split into two columns and eleven rows. The first column shows the product name of different games, and the second column shows the number of total customer purchases for each game.

Source code

The following source code example shows a dashboard definition that uses the trellis layout and splits data with the chart command. 


{
   "visualizations": {
       "viz_3V5QUYuU": {
           "type": "splunk.singlevalue",
           "options": {
               "splitByLayout": "trellis"
           },
           "dataSources": {
               "primary": "ds_fyNUplwK"
           }
       }
   },
   "dataSources": {
       "ds_fyNUplwK": {
           "type": "ds.search",
           "options": {
               "query": "index=\"sample-data\" | chart count by productName"
           },
           "name": "Search_2"
       }
   },
   "defaults": {
       "dataSources": {
           "ds.search": {
               "options": {
                   "queryParameters": {
                       "latest": "$global_time.latest$",
                       "earliest": "$global_time.earliest$"
                   }
               }
           }
       }
   },
   "inputs": {
       "input_global_trp": {
           "type": "input.timerange",
           "options": {
               "token": "global_time",
               "defaultValue": "-24h@h,now"
           },
           "title": "Global Time Range"
       }
   },
   "layout": {
       "type": "absolute",
       "options": {
           "width": 1440,
           "height": 960,
           "display": "auto"
       },
       "structure": [
           {
               "item": "viz_3V5QUYuU",
               "type": "block",
               "position": {
                   "x": 280,
                   "y": 150,
                   "w": 840,
                   "h": 420
               }
           }
       ],
       "globalInputs": [
           "input_global_trp"
       ]
   },
   "description": "",
   "title": "Single value for trellis with chart command"
}

Split specific data with the trellisSplitBy option

If you don't want to rely on the default data-splitting logic, you can split your data by a specific field name using the trellisSplitBy option. For example, you can split the data by price if you have multiple products with different price points. Using trellisSplitBy overrides the logic to split the data by product name.

The following example sets trellisSplitBy: price with the SPL search index="sample-data" | chart count by productName, price. The "sample-data" in this example is a data set from the Search Tutorial in the Search Tutorial manual.

A visualization split into five columns and two rows. Each visualization shows the price of the product and the number of units sold at the associated price point.

A table split into ten columns and six rows. The first column shows the product name of different games, and the following columns show different price points and the number of games sold at each price point.

Source code

The following source code example shows a dashboard definition that uses the trellis layout and splits data with the trellisSplitBy option and field name price. 

{
   "visualizations": {
       "viz_NmTGVKht": {
           "type": "splunk.singlevalue",
           "options": {
               "splitByLayout": "trellis"
           },
           "dataSources": {
               "primary": "ds_1XNNmpxt"
           }
       }
   },
   "dataSources": {
       "ds_1XNNmpxt": {
           "type": "ds.search",
           "options": {
               "query": "index=\"sample-data\" | chart count by productName, price"
           },
           "name": "Search_3"
       }
   },
   "defaults": {
       "dataSources": {
           "ds.search": {
               "options": {
                   "queryParameters": {
                       "latest": "$global_time.latest$",
                       "earliest": "$global_time.earliest$"
                   }
               }
           }
       }
   },
   "inputs": {
       "input_global_trp": {
           "type": "input.timerange",
           "options": {
               "token": "global_time",
               "defaultValue": "-24h@h,now"
           },
           "title": "Global Time Range"
       }
   },
   "layout": {
       "type": "absolute",
       "options": {
           "width": 1440,
           "height": 960,
           "display": "auto"
       },
       "structure": [
           {
               "item": "viz_NmTGVKht",
               "type": "block",
               "position": {
                   "x": 150,
                   "y": 90,
                   "w": 930,
                   "h": 200
               }
           }
       ],
       "globalInputs": [
           "input_global_trp"
       ]
   },
   "description": "",
   "title": "Single value for trellis with trellisSplitBy option"
}

Configure trellisSplitBy with aggregations

Aggregations are categories specified by field name prefixes. For example, avg(price) is an aggregation of the average price, and max(price) is an aggregation of the maximum price. You can split your data by aggregations using the trellisSplitBy option.

The following example sets trellisSplitBy aggregations with the SPL search index="sample-data" | timechart avg(price), max(price).

A visualization split into two cells. The first cell shows the value of the average price of each product and the second cell shows the maximum product price.

A table split into three columns and nine rows. The first column shows different dates by year, month and day. The second column shows the average price with its associated date. The third column shows the maximum price with each associated date.

Source code

The following source code example shows a dashboard definition that uses the trellis layout and splits data with aggregations. 

{
   "visualizations": {
       "viz_ngtz80fU": {
           "type": "splunk.singlevalue",
           "options": {
               "splitByLayout": "trellis"
           },
           "dataSources": {
               "primary": "ds_dKKG8nXI"
           }
       }
   },
   "dataSources": {
       "ds_dKKG8nXI": {
           "type": "ds.search",
           "options": {
               "query": "index=\"sample-data\" | timechart avg(price), max(price)"
           },
           "name": "Search_4"
       }
   },
   "defaults": {
       "dataSources": {
           "ds.search": {
               "options": {
                   "queryParameters": {
                       "latest": "$global_time.latest$",
                       "earliest": "$global_time.earliest$"
                   }
               }
           }
       }
   },
   "inputs": {
       "input_global_trp": {
           "type": "input.timerange",
           "options": {
               "token": "global_time",
               "defaultValue": "-24h@h,now"
           },
           "title": "Global Time Range"
       }
   },
   "layout": {
       "type": "absolute",
       "options": {
           "width": 1440,
           "height": 960,
           "display": "auto"
       },
       "structure": [
           {
               "item": "viz_ngtz80fU",
               "type": "block",
               "position": {
                   "x": 130,
                   "y": 90,
                   "w": 1010,
                   "h": 330
               }
           }
       ],
       "globalInputs": [
           "input_global_trp"
       ]
   },
   "description": "",
   "title": "Single value for trellis with aggregations"
}

Customize trellis columns with trellisMinColumnWidth and trellisColumns

You can customize the width of each visualization in the trellis layout with the trellisMinColumnWidth option. By default, trellisMinColumnWidth adjusts based on the configuration of the config.ts file and the parent panel width.

The following example shows how the trellis layout changes when the default trellisMinColumnWidth is updated to trellisMinColumnWidth: 150.

A visualization split into an eight by two grid. Each cell shows the product name of a game the number of games sold. To the side of the visualization is a configuration panel with a user interface that lets the user manipulate turning the trellis layout on, splitting the data by product name, adjusting the number of columns, the column width, the row height, and the maximum number of components per page. The minimum column width is set to 100.

A visualization split into an five by three grid. Each cell shows the product name of a game the number of games sold. To the side of the visualization is a configuration panel with a user interface that lets the user manipulate turning the trellis layout on, splitting the data by product name, adjusting the number of columns, the column width, the row height, and the maximum number of components per page. The minimum column width is set to 150.

You can customize the number of visualizations to display in a single row of the trellis panel with trellisColumns. Visualizations with an undefined trellisColumns fill and wrap within the set width of the trellis panel.

The following example shows how visualizations might extend beyond the trellis panel with a trellisMinColumnWidth: 150 and trellisColumns: 6.

A visualization split into an six by two grid. Each cell shows the product name of a game the number of games sold. The visualization has a scroll bar that allows the viewer to scroll left and right to see more cells in the visualization. To the side of the visualization is a configuration panel with a user interface that lets the user manipulate turning the trellis layout on, splitting the data by product name, adjusting the number of columns, the column width, the row height, and the maximum number of components per page. The number of columns is set to 6.

Last modified on 15 August, 2024
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This documentation applies to the following versions of Splunk® Enterprise: 9.2.0, 9.2.1, 9.2.2, 9.2.3, 9.2.4, 9.3.0, 9.3.1, 9.3.2

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