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articles/search/search-howto-large-index.md

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ms.author: delegenz
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ms.service: cognitive-search
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ms.topic: conceptual
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ms.date: 12/17/2019
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ms.date: 5/8/2020
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# How to index large data sets in Azure Cognitive Search
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### Service tier and number of partitions/replicas
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Adding partitions is a great way to improve the indexing throughput of your search service.
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Adding partitions or increasing the tier of your search service will both increase indexing speeds.
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Adding additional replicas may also increase indexing speeds but it is not guaranteed.
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Adding additional replicas may also increase indexing speeds but it is not guaranteed. On the other hand, additional replicas will increase the query volume your search service can handle.
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Before adding partition/replicas or upgrading
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Before adding partition/replicas or upgrading to a higher tier, consider the cost and allocation time. Adding partitions can significantly increase indexing speed but adding/removing them can take anywhere from 15 minutes to several hours.
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For additional guidance, see the documentation on [adjusting capacity](search-capacity-planning.md)
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### Index Schema
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adding fields and adding additional properties to fields (such as *searchable*, *facetable*, or *filterable*) both decrease indexing speeds.
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The schema of your index plays an important role in indexing data. Adding fields and adding additional properties to those fields (such as *searchable*, *facetable*, or *filterable*) both reduce indexing speeds.
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In general, we recommend only adding additional properties to fields if you intend to use them.
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articles/search/tutorial-optimize-indexing-pushapi.md

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ms.author: delegenz
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ms.service: cognitive-search
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ms.topic: tutorial
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ms.date: 04/20/2020
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ms.date: 05/08/2020
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# Tutorial: Optimize Indexing with the Push API

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