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Kaarina Tungseth
GitHub
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commit
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You can customize the colors of your visualization by clicking the color dot next to each label to display the
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_color picker_.
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image::images/color-picker.png[An array of color dots that users can select]
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@ -6,22 +6,9 @@ Display graphical representations of data where the individual values are repres
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[role="screenshot"]
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image::images/visualize_heat_map_example.png[]
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[float]
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[[build-heat-map]]
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==== Build a heat map
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To display your data on the heat map, use the supported aggregations.
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Heat maps support the following aggregations:
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* <<visualize-metric-aggregations,Metric>>
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* <<visualize-parent-pipeline-aggregations,Parent pipeline>>
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* <<visualize-sibling-pipeline-aggregations,Sibling pipeline>>
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* <<visualize-bucket-aggregations,Bucket>>
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[float]
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[[navigate-heatmap]]
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==== Change the color ranges
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=== Change the color ranges
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When only one color displays on the heat map, you might need to change the color ranges.
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@ -14,20 +14,6 @@ beta[]
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* Save your visualization for use in a dashboard.
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[float]
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[[lens-aggregation]]
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=== Supported aggregations
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Lens supports the following aggregations:
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* <<visualize-metric-aggregations,Metric>>
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* <<visualize-parent-pipeline-aggregations,Parent pipeline>>
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* <<visualize-sibling-pipeline-aggregations,Sibling pipeline>>
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* <<visualize-bucket-aggregations,Bucket>>
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[float]
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[[drag-drop]]
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=== Drag and drop
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@ -13,20 +13,6 @@ The most frequently used visualizations include:
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[[metric-chart]]
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[float]
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[[frequently-used-viz-aggregation]]
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=== Supported aggregations
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The most frequently used visualizations support the following aggregations:
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* <<visualize-metric-aggregations,Metric>>
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* <<visualize-parent-pipeline-aggregations,Parent pipeline>>
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* <<visualize-sibling-pipeline-aggregations,Sibling pipeline>>
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* <<visualize-bucket-aggregations,Bucket>>
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[float]
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=== Configure your visualization
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@ -43,18 +43,6 @@ Table:: Display data from multiple time series by defining the field group to sh
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[role="screenshot"]
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image:images/tsvb-table.png["Table visualization"]
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[float]
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[[tsvb-aggregation]]
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=== Supported aggregations
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TSVB supports the following aggregations:
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* <<visualize-metric-aggregations,Metric>>
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* <<visualize-parent-pipeline-aggregations,Parent pipeline>>
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* <<visualize-sibling-pipeline-aggregations,Sibling pipeline>>
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[float]
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[[create-tsvb-visualization]]
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=== Create TSVB visualizations
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@ -1,43 +0,0 @@
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[role="xpack"]
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[[visualize-rollup-data]]
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== Use rolled up data in a visualization
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beta[]
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You can visualize your rolled up data in a variety of charts, tables, maps, and
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more. Most visualizations support rolled up data, with the exception of
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Timelion and Vega visualizations.
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To get started, go to *Management > Kibana > Index patterns.*
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If a rollup index is detected in the cluster, *Create index pattern*
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includes an item for creating a rollup index pattern.
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[role="screenshot"]
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image::images/management_create_rollup_menu.png[Create index pattern menu]
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You can match an index pattern to only rolled up data, or mix both rolled up
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and raw data to visualize all data together. An index pattern can match only one
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rolled up index, not multiple. There is no restriction on the number of standard
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indices that an index pattern can match. When matching multiple indices,
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use a comma to separate the names, with no space after the comma.
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Keep the following in mind when creating a visualization from rolled up data:
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* The data in a rollup index only has summarized metrics for specific fields.
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You can’t search any other field from the original raw data.
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* Data is summarized into time buckets that might be split into sub buckets for
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numeric field values or terms. You can ask for a time aggregation that takes
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several time buckets and combines them to lower granularity. For example,
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if the rollup job was aggregated by hours, you can ask for buckets of days.
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The following visualization of rolled up data shows the date histogram
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interval multiple and the limited metrics aggregations.
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[role="screenshot"]
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image::images/management_rollups_visualization.png[][Rollups in visualizations]
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Dashboards can have a mixture of rollup visualizations and regular visualizations,
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as shown in the following figure. Note that not all queries and filters support rollups.
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[role="screenshot"]
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image::images/management_rolled_dashboard.png[][Rollups in dashboards]
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