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Azure File Sync doesn’t directly index files; it focuses on synchronization, but you can try exploring Azure AI Search which is a search-as-a-service cloud solution that offers a rich set of capabilities including ingestion, enrichment, and indexing of data. This can be another option to index and search your data within Azure Files.
Azure Files indexer is currently in public preview and there are some prerequisites to access this feature. By default, most files are indexed as a single search document in the index, including files with structured content, such as JSON or CSV, which are indexed as a single chunk of text.
A compound or embedded document (such as a ZIP archive, a Word document with embedded Outlook email containing attachments, or an .MSG file with attachments) is also indexed as a single document. For example, all images extracted from the attachments of an .MSG file will be returned in the normalized images field. If you have images, consider adding AI enrichment to get more search utility from that content. Textual content of a document is extracted into a string field named "content". You can also extract standard and user-defined metadata.
refer this doc - https://learn.microsoft.com/en-us/azure/search/search-file-storage-integration for more detailed guidance.
The Windows Search Service is not directly related to Azure File Sync. If you install the Windows Search Service on your file server, it will index files locally on the server, but it won’t impact the synchronization process with Azure file shares, and this could potentially speed up file searches significantly. The search index created by Windows Search Service is separate from the synchronization cache managed by Azure File Sync.
Azure File Sync allows you to cache Azure file shares on an on-premises Windows Server or cloud VM. You can choose to directly mount Azure file shares (SMB) or cache them on-premises using Azure File Sync. When using Azure File Sync, your on-premises server acts as a quick cache for the Azure file share.
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