Fix links for 2.5 doc changes. (#2465)
* Fix links for 2.5 doc changes. Signed-off-by: Naarcha-AWS <naarcha@amazon.com> * Add CLI redirect Signed-off-by: Naarcha-AWS <naarcha@amazon.com> Signed-off-by: Naarcha-AWS <naarcha@amazon.com>
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@ -199,7 +199,7 @@ GET _cluster/health?level=awareness_attributes&awareness_attribute=zone
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In response to the preceding request, OpenSearch returns cluster health information only for the `zone` awareness attribute.
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The unassigned shard information will be accurate only if you [enable replica count enforcement]({{site.url}}{{site.baseurl}}/opensearch/cluster#forced-replica-count-enforcement) and [configure forced awareness]({{site.url}}{{site.baseurl}}/opensearch/cluster#forced-awareness) for the awareness attribute either before cluster start or after cluster start but before any indexing requests. If you enable replica enforcement after the cluster receives indexing requests, the unassigned shard information may be inaccurate. If you don't configure replica count enforcement and forced awareness, the `unassigned_shards` field will contain -1.
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The unassigned shard information will be accurate only if you [enable replica count enforcement]({{site.url}}{{site.baseurl}}/opensearch/cluster#replica-count-enforcement) and [configure forced awareness]({{site.url}}{{site.baseurl}}/opensearch/cluster#forced-awareness) for the awareness attribute either before cluster start or after cluster start but before any indexing requests. If you enable replica enforcement after the cluster receives indexing requests, the unassigned shard information may be inaccurate. If you don't configure replica count enforcement and forced awareness, the `unassigned_shards` field will contain -1.
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{: .warning}
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## Required permissions
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@ -20,7 +20,7 @@ For example, a 1.0.0 client works with an OpenSearch 1.1.0 cluster, but might no
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{% comment %}
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* [OpenSearch Java client]({{site.url}}{{site.baseurl}}/clients/java/)
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{% endcomment %}
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* [OpenSearch Python client]({{site.url}}{{site.baseurl}}/clients/python/)
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* [OpenSearch Python client]({{site.url}}{{site.baseurl}}/clients/python-low-level/)
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* [OpenSearch JavaScript (Node.js) client]({{site.url}}{{site.baseurl}}/clients/javascript/index)
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* [OpenSearch .NET clients]({{site.url}}{{site.baseurl}}/clients/dot-net/)
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* [OpenSearch Go client]({{site.url}}{{site.baseurl}}/clients/go/)
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@ -14,7 +14,7 @@ nav_order: 11
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## Prerequisites
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To use `opensearch-py-ml`, install the [OpenSearch Python client]({{site.url}}{{site.baseurl}}/clients/python#setup). The Python client allows OpenSearch to use the Python syntax required to run DataFrames in `opensearch-py-ml`.
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To use `opensearch-py-ml`, install the [OpenSearch Python client]({{site.url}}{{site.baseurl}}/clients/python-low-level#setup). The Python client allows OpenSearch to use the Python syntax required to run DataFrames in `opensearch-py-ml`.
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## Install `opensearch-py-ml`
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@ -61,7 +61,7 @@ Create an SM policy to set up automatic snapshots. An SM policy defines an autom
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1. (Optional) Enter the policy description.
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1. In the **Source and destination** section:
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1. Select or enter source indexes either as a list or as an index pattern.
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1. Select a repository for snapshots. To [create a new repository](#create-a-repository), select the **Create** button.
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1. Select a repository for snapshots. To [create a new repository](#creating-a-repository), select the **Create** button.
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1. In the **Snapshot schedule** section:
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1. Select the desired snapshot frequency or enter a custom cron expression for snapshot frequency.
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1. Select the start time and time zone.
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@ -1,7 +1,11 @@
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---
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layout: default
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title: Maps
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title: Using maps
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nav_order: 15
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parent: Visualization types
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grand_parent: Visualize
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redirect_from:
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- /dashboards/maps/
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---
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# Maps
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@ -15,13 +15,13 @@ Dashboards has several visualization types to support your data analysis needs.
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## Area charts
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Area charts depict changes over time, and they are commonly used to show trends. Area charts more efficiently identify patterns in log data, such as sales data for a time range and trends over that time. See [Graphs and charts]({{site.url}}{{site.baseurl}}/dashboards/visualize/graphs-and-charts) to learn more about how to create and use them in Dashboards.
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Area charts depict changes over time, and they are commonly used to show trends. Area charts more efficiently identify patterns in log data, such as sales data for a time range and trends over that time. See [Using area charts]({{site.url}}{{site.baseurl}}/dashboards/visualize/area/) to learn more about how to create and use them in Dashboards.
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<img src="{{site.url}}{{site.baseurl}}/images/area-chart-1.png" alt="Example area chart in OpenSearch Dashboards" height="90%">
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## Bar charts
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Bar charts, vertical or horizontal, compare categorical data and depict changes of a variable over a period of time. See [Graphs and charts]({{site.url}}{{site.baseurl}}/dashboards/visualize/graphs-and-charts) to learn more about how to create and use them in Dashboards.
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Bar charts, vertical or horizontal, compare categorical data and depict changes of a variable over a period of time.
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<table style="table-layout: fixed ; width: 100%;">
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<tbody>
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@ -45,7 +45,6 @@ Controls is a panel, instead of a visualization type, added to a dashboard to fi
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## Data tables
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Data tables, or tables, show your raw data in tabular form.
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See [Data tables]({{site.url}}{{site.baseurl}}/dashboards/visualize/tables) to learn how to create and use them in Dashboards.
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<img src="{{site.url}}{{site.baseurl}}/images/data-table-1.png" alt="Example data table in OpenSearch Dashboards" height="100">
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@ -57,32 +56,33 @@ Gantt charts show the start, end, and duration of unique events in a sequence. G
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## Gauge charts
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Gauge charts look similar to an analog speedometer that reads left to right from zero. They display how much there is of the thing you are measuring, and this measurement can exist alone or in relation to another measurement, such as tracking performance against benchmarks or goals. Reference [Gauge charts]({{site.url}}{{site.baseurl}}/dashboards/visualize/gauge) to learn how to create and use them in Dashboards.
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Gauge charts look similar to an analog speedometer that reads left to right from zero. They display how much there is of the thing you are measuring, and this measurement can exist alone or in relation to another measurement, such as tracking performance against benchmarks or goals.
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<img src="{{site.url}}{{site.baseurl}}/images/gauge-1.png" alt="Example gauge chart in OpenSearch Dashboards" width="90%">
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## Heat maps
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A heat map is a view of a histogram (a graphical representation of the distribution of numerical data) over time. Instead of using bar height as a representation of frequency, as with a histogram, heat maps display data in a tabular form using colors to differentiate where values fall in a range. See [Heat maps]({{site.url}}{{site.baseurl}}/dashboards/visualize/heat-maps) to learn how to create and use them in Dashboards.
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A heat map is a view of a histogram (a graphical representation of the distribution of numerical data) over time. Instead of using bar height as a representation of frequency, as with a histogram, heat maps display data in a tabular form using colors to differentiate where values fall in a range.
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<img src="{{site.url}}{{site.baseurl}}/images/heat-map-1.png" alt="Example heat map in OpenSearch Dashboards" height="65">
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## Line charts
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Line charts compare changes in measured values over a period of time, such as gross sales by month or gross sales and net sales by month. See [Graphs and charts]({{site.url}}{{site.baseurl}}/dashboards/visualize/graphs-and-charts) to learn more about how to create and use them in Dashboards.
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Line charts compare changes in measured values over a period of time, such as gross sales by month or gross sales and net sales by month.
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<img src="{{site.url}}{{site.baseurl}}/images/line-1.png" alt="Example line graph in OpenSearch Dashboards" height="100">
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## Maps
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You can create two types of maps in Dashboards: Coordinate maps and Region maps. Coordinate maps show the difference between data values for each location by size. Region maps show the difference between data values for each location by varying shades of color.
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### Coordinate maps
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Coordinate maps show location-based data on a map. Use coordinate maps to visualize GPS data (latitude and longitude coordinates) on a map. For information about OpenSearch-supported coordinate field types, see [Geographic field types]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/geo-shape/) and [Cartesian field types]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/xy/).
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### Region maps
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Region maps show patterns and trends across geographic locations. A region map is one of the basemaps in Dashboards. For information about creating custom vector maps in Dashboards, see [Region map visualizations](https://opensearch.org/docs/latest/dashboards/geojson-regionmaps/).
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Region maps show patterns and trends across geographic locations. A region map is one of the basemaps in Dashboards. For information about creating custom vector maps in Dashboards, see [Region map visualizations]({{site.url}}{{site.baseurl}}/dashboards/geojson-regionmaps/).
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See [Maps]({{site.url}}{{site.baseurl}}/dashboards/visualize/maps/) to learn how to create and use them in Dashboards.
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@ -90,43 +90,43 @@ See [Maps]({{site.url}}{{site.baseurl}}/dashboards/visualize/maps/) to learn how
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## Markdown
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Markdown is a the markup language used in Dashboards to provide context to your data visualizations. Using Markdown, you can display information and instructions along with the visualization. See [Markdown]({{site.url}}{{site.baseurl}}/dashboards/visualize/markdown/) to learn how to use this markup language with visualizations in Dashboards.
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Markdown is a the markup language used in Dashboards to provide context to your data visualizations. Using Markdown, you can display information and instructions along with the visualization.
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<img src="{{site.url}}{{site.baseurl}}/images/markdown-1.png" alt="Example coordinate map in OpenSearch Dashboards" height="100">
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## Metric values
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Metric values, or number charts, compare values in different measures. For example, you can create a metrics visualization to compare two values, such as actual sales compared to sales goals. See [Metric values]({{site.url}}{{site.baseurl}}/dashboards/visualize/metric-values) to learn how to create and use them in Dashboards.
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Metric values, or number charts, compare values in different measures. For example, you can create a metrics visualization to compare two values, such as actual sales compared to sales goals.
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<img src="{{site.url}}{{site.baseurl}}/images/metric-chart-1.png" alt="Example metric chart in OpenSearch Dashboards" height="100">
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## Pie charts
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Pie charts compare values for items in a dimension, such as a percentage of a total amount. See [Pie charts]({{site.url}}{{site.baseurl}}/dashboards/visualize/pie-charts/) to learn how to create and use them in Dashboards.
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Pie charts compare values for items in a dimension, such as a percentage of a total amount.
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<img src="{{site.url}}{{site.baseurl}}/images/pie-1.png" alt="Example pie chart in OpenSearch Dashboards" height="100">
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## TSVB
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The time-series visual builder (TSVB) is a data visualization tool in Dashboards used to create detailed time-series visualizations. For example, you can use TSVB to build visualizations that show data over time, such as flights by status over time or flight delays by delay type over time. Currently, TSVB can be used to create the following Dashboards visualization types: Area, Line, Metric, Gauge, Markdown, and Data Table. See [TSVB]({{site.url}}{{site.baseurl}}/dashboards/visualize/TSVB/) to learn how to create and use this set of visualization types in Dashboards.
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The time-series visual builder (TSVB) is a data visualization tool in Dashboards used to create detailed time-series visualizations. For example, you can use TSVB to build visualizations that show data over time, such as flights by status over time or flight delays by delay type over time. Currently, TSVB can be used to create the following Dashboards visualization types: Area, Line, Metric, Gauge, Markdown, and Data Table.
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<img src="{{site.url}}{{site.baseurl}}/images/TSVB-1.png" alt="Example TSVB in OpenSearch Dashboards" height=100>
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## Tag cloud
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Tag (or word) clouds are a way to display how often a word is used in relation to other words in a dataset. The best use for this type of visual is to show word or phrase frequency. See [Tag clouds]({{site.url}}{{site.baseurl}}/dashboards/visualize/tag-clouds/) to learn how to create and use in Dashboards.
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Tag (or word) clouds are a way to display how often a word is used in relation to other words in a dataset. The best use for this type of visual is to show word or phrase frequency.
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<img src="{{site.url}}{{site.baseurl}}/images/word-cloud-1.png" alt="Example Tag cloud in OpenSearch Dashboards" height="100">
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## Timeline
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Timeline is a data visualization tool in Dashboards that you can use to create time-series visualizations. Currently, Timeline can be used to create the following Dashboards visualization types: Area and Line. See [Timelines]({{site.url}}{{site.baseurl}}/dashboards/visualize/timeline/) to learn how to create and use them in Dashboards.
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Timeline is a data visualization tool in Dashboards that you can use to create time-series visualizations. Currently, Timeline can be used to create the following Dashboards visualization types: Area and Line.
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<img src="{{site.url}}{{site.baseurl}}/images/timeline-1.png" alt="Example Timeline in OpenSearch Dashboards" height="100">
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## VisBuilder
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VisBuilder is a drag-and-drop data visualization tool in Dashboards. It gives you an immediate view of your data without the need to preselect the data source or visualization type output. Currently, VisBuilder can be used to create the following Dashboards visualization types: Area, Bar, Line, Metric, and Data Table. See [VisBuilder]({{site.url}}{{site.baseurl}}/dashboards/visbuilder/) to learn how to create and use drag-and-drop visualizations in Dashboards.
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VisBuilder is a drag-and-drop data visualization tool in Dashboards. It gives you an immediate view of your data without the need to preselect the data source or visualization type output. Currently, VisBuilder can be used to create the following Dashboards visualization types: Area, Bar, Line, Metric, and Data Table. See [VisBuilder]({{site.url}}{{site.baseurl}}/dashboards/visualize/visbuilder/) to learn how to create and use drag-and-drop visualizations in Dashboards.
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<img src="{{site.url}}{{site.baseurl}}/images/drag-drop-generated-viz.png" alt="Example Timeline in OpenSearch Dashboards" height="100">
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@ -134,6 +134,4 @@ VisBuilder is a drag-and-drop data visualization tool in Dashboards. It gives yo
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[Vega](https://vega.github.io/vega/) and [Vega-Lite](https://vega.github.io/vega-lite/) are open-source, declarative language visualization grammars for creating, sharing, and saving interactive data visualizations. Vega visualizations give you the flexibility to visualize multidimensional data using a layered approach in order to build and manipulate visualizations in a structured manner. Vega can be used to create customized visualizations using any Dashboards visualization type.
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See [Vega and Vega-Lite]({{site.url}}{{site.baseurl}}/dashboards/visualize/vega) to learn how to create and use these visualization grammars in Dashboards.
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<img src="{{site.url}}{{site.baseurl}}/images/vega-1.png" alt="Example Vega visualization with JSON specification in OpenSearch Dashboards" height="100">
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@ -3,6 +3,8 @@ layout: default
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title: Configuring Data Prepper
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has_children: true
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nav_order: 100
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redirect_from:
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- /clients/data-prepper/data-prepper-reference/
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---
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# Configuring Data Prepper
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@ -4,6 +4,8 @@ title: Getting started
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nav_order: 5
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redirect_from:
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- /clients/data-prepper/getting-started/
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- /data-prepper/get-started/
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- /clients/data-prepper/get-started/
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---
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# Getting started with Data Prepper
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@ -2,6 +2,8 @@
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layout: default
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title: Migrating from Logstash
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nav_order: 30
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redirect_from:
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- /data-prepper/configure-logstash-data-prepper/
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---
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# Migrating from Logstash
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@ -26,7 +28,7 @@ As of the Data Prepper 1.2 release, the following plugins from the Logstash conf
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## Running Data Prepper with a Logstash configuration
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1. To install Data Prepper's Docker image, see the Installing Data Prepper in [Get Started]({{site.url}}{{site.baseurl}}/data-prepper/get-started#1-installing-data-prepper).
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1. To install Data Prepper's Docker image, see the Installing Data Prepper in [Get Started]({{site.url}}{{site.baseurl}}/data-prepper/getting-started#1-installing-data-prepper).
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2. Run the Docker image installed in Step 1 by supplying your `logstash.conf` configuration.
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@ -2,6 +2,8 @@
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layout: default
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title: Pipelines
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nav_order: 10
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redirect_from:
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- /clients/data-prepper/pipelines/
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---
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# Pipelines
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@ -1,7 +1,7 @@
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---
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layout: default
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title: Debian
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parent: Install OpenSearch Dashboards
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parent: Installing OpenSearch Dashboards
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nav_order: 33
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---
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@ -1,7 +1,7 @@
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---
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layout: default
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title: Docker
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parent: Install OpenSearch Dashboards
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parent: Installing OpenSearch Dashboards
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nav_order: 1
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redirect_from:
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- /dashboards/install/docker/
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@ -1,7 +1,7 @@
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---
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layout: default
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title: Helm
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parent: Install OpenSearch Dashboards
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parent: Installing OpenSearch Dashboards
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nav_order: 35
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redirect_from:
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- /dashboards/install/helm/
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@ -1,7 +1,7 @@
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---
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layout: default
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title: OpenSearch Dashboards plugins
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parent: Install OpenSearch Dashboards
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parent: Installing OpenSearch Dashboards
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nav_order: 50
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redirect_from:
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- /dashboards/install/plugins
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@ -1,7 +1,7 @@
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---
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layout: default
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||||
title: RPM
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parent: Install OpenSearch Dashboards
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parent: Installing OpenSearch Dashboards
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||||
nav_order: 31
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redirect_from:
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- /dashboards/install/rpm/
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@ -1,7 +1,7 @@
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|||
---
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||||
layout: default
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||||
title: Tarball
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||||
parent: Install OpenSearch Dashboards
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parent: Installing OpenSearch Dashboards
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nav_order: 30
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redirect_from:
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- /dashboards/install/tar/
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||||
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@ -1,7 +1,7 @@
|
|||
---
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||||
layout: default
|
||||
title: Configure TLS
|
||||
parent: Install OpenSearch Dashboards
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||||
parent: Installing OpenSearch Dashboards
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nav_order: 40
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redirect_from:
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- /dashboards/install/tls/
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@ -1,7 +1,7 @@
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|||
---
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||||
layout: default
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||||
title: Windows
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||||
parent: Install OpenSearch Dashboards
|
||||
parent: Installing OpenSearch Dashboards
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||||
nav_order: 37
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||||
redirect_from:
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- /dashboards/install/windows/
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||||
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@ -1,7 +1,7 @@
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|||
---
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||||
layout: default
|
||||
title: Ansible playbook
|
||||
parent: Install OpenSearch
|
||||
parent: Installing OpenSearch
|
||||
nav_order: 60
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redirect_from:
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- /opensearch/install/ansible/
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|
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@ -1,7 +1,7 @@
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|||
---
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||||
layout: default
|
||||
title: Debian
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||||
parent: Install OpenSearch
|
||||
parent: Installing OpenSearch
|
||||
nav_order: 55
|
||||
---
|
||||
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||||
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@ -1,7 +1,7 @@
|
|||
---
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||||
layout: default
|
||||
title: Docker
|
||||
parent: Install OpenSearch
|
||||
parent: Installing OpenSearch
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nav_order: 5
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redirect_from:
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- /opensearch/install/docker/
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@ -1,7 +1,7 @@
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|||
---
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||||
layout: default
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||||
title: Helm
|
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parent: Install OpenSearch
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||||
parent: Installing OpenSearch
|
||||
nav_order: 6
|
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redirect_from:
|
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- /opensearch/install/helm/
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||||
|
|
|
@ -1,7 +1,7 @@
|
|||
---
|
||||
layout: default
|
||||
title: RPM
|
||||
parent: Install OpenSearch
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||||
parent: Installing OpenSearch
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||||
nav_order: 51
|
||||
---
|
||||
|
||||
|
|
|
@ -1,7 +1,7 @@
|
|||
---
|
||||
layout: default
|
||||
title: Tarball
|
||||
parent: Install OpenSearch
|
||||
parent: Installing OpenSearch
|
||||
nav_order: 10
|
||||
redirect_from:
|
||||
- /opensearch/install/tar/
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||||
|
|
|
@ -1,7 +1,7 @@
|
|||
---
|
||||
layout: default
|
||||
title: Windows
|
||||
parent: Install OpenSearch
|
||||
parent: Installing OpenSearch
|
||||
nav_order: 65
|
||||
---
|
||||
|
||||
|
|
|
@ -88,7 +88,7 @@ source ~/.bash_profile
|
|||
Next, create a shell script file called `prepare_torch_neuron.sh`. You can copy and customize one of the following examples based on your Linux operating system:
|
||||
|
||||
- [Ubuntu 20.04](#ubuntu-2004)
|
||||
- [Amazon Linux 2](#amazon-linux2)
|
||||
- [Amazon Linux 2](#amazon-linux-2)
|
||||
|
||||
After you've run the scripts, exit your current terminal and open a new terminal to start OpenSearch.
|
||||
|
||||
|
|
|
@ -44,7 +44,7 @@ We don't recommend setting up the same repository for multiple SM policies with
|
|||
|
||||
## Failure management
|
||||
|
||||
If a snapshot operation fails, it is retried a maximum of three times. The failure message is saved in `metadata.latest_execution` and is overwritten when a subsequent snapshot operation starts. You can view the failure message using the [explain API]({{site.url}}{{site.baseurl}}/opensearch/snapshots/sm-api#explain). When using OpenSearch Dashboards, you can view the failure message on the [policy details page]({{site.url}}{{site.baseurl}}/opensearch/snapshots/sm-dashboards#view-edit-or-delete-an-sm-policy). Possible reasons for failure include red index status and shard reallocation.
|
||||
If a snapshot operation fails, it is retried a maximum of three times. The failure message is saved in `metadata.latest_execution` and is overwritten when a subsequent snapshot operation starts. You can view the failure message using the [explain API]({{site.url}}{{site.baseurl}}/opensearch/snapshots/sm-api#explain). When using OpenSearch Dashboards, you can view the failure message on the [policy details page]({{site.url}}{{site.baseurl}}/dashboards/admin-ui-index/sm-dashboards/#enable-disable-or-delete-sm-policies). Possible reasons for failure include red index status and shard reallocation.
|
||||
|
||||
## Security
|
||||
|
||||
|
|
|
@ -3,6 +3,8 @@ layout: default
|
|||
title: OpenSearch CLI
|
||||
nav_order: 70
|
||||
has_children: false
|
||||
redirect_from:
|
||||
- /clients/cli/
|
||||
---
|
||||
|
||||
# OpenSearch CLI
|
||||
|
|
Loading…
Reference in New Issue