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articles/search/search-howto-reindex.md

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During active development, it's common to drop and rebuild indexes when you're iterating over index design. Most developers work with a small representative sample of their data so that reindexing goes faster.
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For large schema changes on applications already in production, we recommend creating a new index that runs side by side an existing index to avoid query downtime and using an [index alias](search-how-to-alias.md) to avoid changing your application code.
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For schema changes on applications already in production, we recommend creating and testing a new index that runs side by side an existing index. Use an [index alias](search-how-to-alias.md) to swap in the new index while avoiding changes your application code.
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## Update content
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{
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"@search.action": "mergeOrUpload",
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"HotelId": "1",
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"Description": "I'm changing the description and city for Secret Point Hotel, and keeping everything else."
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"Description": "Change the description and city for Secret Point Hotel. Keep everything else."
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"Address": {
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"City": "Miami"
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}
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Azure AI Search supports document-level operations so that you can look up, update, and delete a specific document in isolation. The following example shows how to delete a document.
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Recall that deleted documents don't immediately free up space in the index. Every few minutes, a background process performs the physical deletion. Whether you use the portal or an API to return index statistics, you can expect a small delay before the deletion is reflected in the portal and through APIs.
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Deleting a document doesn't immediately free up space in the index. Every few minutes, a background process performs the physical deletion. Whether you use the portal or an API to return index statistics, you can expect a small delay before the deletion is reflected in the portal and API mertrics.
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1. Identify which field is the document key. In the portal, you can view the fields of each index. Document keys are string fields and are denoted with a key icon to make them easier to spot.
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articles/search/service-configure-firewall.md

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+ It takes time to fully identify IP ranges and set up firewalls, and if you're in early stages of proof-of-concept testing and investigation and using sample data, you might want to defer network access controls until you actually need them.
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+ Some workflows require access to a public endpoint. Specifically, the [**import wizards**](search-data-import-portal.md) in the Azure portal connect to built-in (hosted) sample data and embedding models over the public endpoint. You can switch to code or script to complete the same tasks when firewall rules in place, but if you want to run the wizards, the public endpoint must be available. For more information, see [Secure connections in the import wizards](search-import-data-portal.md#secure-connections).
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+ Some workflows require access to a public endpoint. Specifically, the [**import wizards**](search-import-data-portal.md) in the Azure portal connect to built-in (hosted) sample data and embedding models over the public endpoint. You can switch to code or script to complete the same tasks when firewall rules in place, but if you want to run the wizards, the public endpoint must be available. For more information, see [Secure connections in the import wizards](search-import-data-portal.md#secure-connections).
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<a id="configure-ip-policy"></a>
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