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# Build visualizations by dragging and dropping fields
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The drag and drop visualization wizard an experimental feature with OpenSearch 2.3. Therefore, we do not recommend the use of drag and drop wizard in a production environment. For updates on the progress of drag and drop or if you want leave feedback that could help improve the feature, see the [Drag and drop git issue](https://github.com/opensearch-project/OpenSearch-Dashboards/issues/1157).
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{: .warning}
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# Drag and drop wizard
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You can use the drag and drop visualization wizard in OpenSearch Dashboards to create your data visualizations easily with just a few clicks or a single mouse gesture.
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<imgsrc="{{site.url}}{{site.baseurl}}/images/drag-drop-ui.png"alt="Drag and drop user interface">
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Beginning with OpenSearch release 1.3, the drag and drop wizard is available as an experimental feature. We invite you to try the wizard and let us know how you feel about it. Experimental features may change, break, or disappear at any time and shouldn’t be enabled in production environments.
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{: .note}
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# Enable the experimental features
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##Enable the wizard
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To experiment with the drag and drop wizard, you first need to enable experimental visualizations in your OpenSearch playground:
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1. Open [OpenSearch Dashboards playground](https://playground.opensearch.org/app/home#/).
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2. Go to **Management****>****Stack Management****>****Advanced Settings**.
#Try out the drag and drop wizard in the playground or create a new visualization wizard
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## Create new visualization in OpenSearch Dashboards playground
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You can explore the drag and drop wizard directly from the [OpenSearch Wizard playground](https://playground.opensearch.org/app/wizard), or you can create a new visualization and select wizard.
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You can explore the drag and drop wizard directly from the [OpenSearch Dashboards playground](https://playground.opensearch.org/app/wizard), or you can create a new visualization and select wizard.
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The following steps walk you through creating a new visualization using the wizard:
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1. Open [OpenSearch Dashboards playground](https://playground.opensearch.org/app/home#/).
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2. Under the menu icon, select **Visualize****>****Create visualization****>****Wizard**.
3. Use sample data to add fields and generate a visualization.
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Here’s an example visualization. Your visualization will look different depending on the sample data you select.
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<imgsrc="{{site.url}}{{site.baseurl}}/images/drag-drop-generated-viz.png"alt="Visualization generated using sample data in the Wizard">
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# Related topics
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##Related topics
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*[OpenSearch News, September 14, 2022](https://opensearch.org/)
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*[Drag and drop visualizations demo at OpenSearch Community Meeting, August 16, 2022](https://forum.opensearch.org/t/opensearch-community-meeting-2022-0816/10323)
Copy file name to clipboardExpand all lines: _opensearch/segment-replication/configuration.md
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---
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layout: default
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title: Segment Replication Configuration
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title: Segment replication configuration
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nav_order: 12
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parent: Segment Replication Feature
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grand_parent: Opensearch
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parent: Segment replication
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---
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## Segment replication configuration
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Segment replication is an experimental feature. Therefore, we do not recommend the use of segment replication in a production environment. For updates on the progress of segment replication or if you want to leave feedback that could help improve the feature, see the [Segment replication issue](https://github.com/opensearch-project/OpenSearch/issues/2229).
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{: .warning }
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# Segment replication configuration
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To enable the segment replication type, reference the steps below.
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###Enabling the feature flag
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## Enabling the feature flag
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There are several methods for enabling segment replication, depending on the install type. You will also need to set the replication strategy to `SEGMENT` when creating the index.
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####Enable on a node using a tarball install
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### Enable on a node using a tarball install
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The flag is toggled using a new jvm parameter that is set either in `OPENSEARCH_JAVA_OPTS` or in config/jvm.options.
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}
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````
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#### Enable with Docker containers
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### Enable with Docker containers
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If you're running Docker, add the following line to docker-compose.yml underneath the `opensearch-node` and `environment` section:
To set the replication strategy to segment replication, create an index with replication.type set to `SEGMENT`:
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}
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````
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### Known limitations
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Segment replication is an experimental feature. Therefore, we do not recommend the use of segment replication in a production environment. For updates on the progress of segment replication or if you want to leave feedback that could help improve the feature, see the [Segment Replication Git Issue](https://github.com/opensearch-project/OpenSearch/issues/2229).
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{: .note }
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## Known limitations
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1. Enabling segment replication for an existing index requires [reindexing](https://github.com/opensearch-project/OpenSearch/issues/3685).
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1. Rolling upgrades are currently not supported. Full cluster restarts are required when upgrading indexes using segment replication. [Issue 3881](https://github.com/opensearch-project/OpenSearch/issues/3881).
Segment replication is an experimental feature with OpenSearch 2.3. Therefore, we do not recommend the use of segment replication in a production environment. For updates on the progress of segment replication or if you want leave feedback that could help improve the feature, see the [Segment replication git issue](https://github.com/opensearch-project/OpenSearch/issues/2229).
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{: .warning}
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OpenSearch 2.3 contains an experimental version of segment replication.
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# Segment replication
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With segment replication, segment files are copied across shards instead of documents being indexed on each shard copy. This improves indexing throughput and lowers resource utilization at the expense of increased network utilization.
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### Potential use cases
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- Users who have very high write loads but do not have high search requirements and are comfortable with longer refresh times.
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- Users who have high write loads but do not have high search requirements and are comfortable with longer refresh times.
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- Users with very high loads who want to add new nodes, as you do not need to index all nodes when adding a new node to the cluster.
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This is the first step in a series of features designed to decouple reads and writes in order to lower compute costs.
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