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Describes unknown properties. The value of an unknown property can be of "any" type.
Optional
allowIf true, will create a path //document//file_data that is an object representing the original file data downloaded from your blob data source. This allows you to pass the original file data to a custom skill for processing within the enrichment pipeline, or to the Document Extraction skill.
Optional
dataSpecifies the data to extract from Azure blob storage and tells the indexer which data to extract from image content when "imageAction" is set to a value other than "none". This applies to embedded image content in a .PDF or other application, or image files such as .jpg and .png, in Azure blobs.
Optional
delimitedFor CSV blobs, specifies the end-of-line single-character delimiter for CSV files where each line starts a new document (for example, "|").
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delimitedFor CSV blobs, specifies a comma-delimited list of column headers, useful for mapping source fields to destination fields in an index.
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documentFor JSON arrays, given a structured or semi-structured document, you can specify a path to the array using this property.
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excludedComma-delimited list of filename extensions to ignore when processing from Azure blob storage. For example, you could exclude ".png, .mp4" to skip over those files during indexing.
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executionSpecifies the environment in which the indexer should execute.
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failFor Azure blobs, set to false if you want to continue indexing if a document fails indexing.
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failFor Azure blobs, set to false if you want to continue indexing when an unsupported content type is encountered, and you don't know all the content types (file extensions) in advance.
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firstFor CSV blobs, indicates that the first (non-blank) line of each blob contains headers.
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imageDetermines how to process embedded images and image files in Azure blob storage. Setting the "imageAction" configuration to any value other than "none" requires that a skillset also be attached to that indexer.
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indexedComma-delimited list of filename extensions to select when processing from Azure blob storage. For example, you could focus indexing on specific application files ".docx, .pptx, .msg" to specifically include those file types.
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indexFor Azure blobs, set this property to true to still index storage metadata for blob content that is too large to process. Oversized blobs are treated as errors by default. For limits on blob size, see https://learn.microsoft.com/azure/search/search-limits-quotas-capacity.
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markdownSpecifies the max header depth that will be considered while grouping markdown content. Default is h6
.
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markdownSpecifies the submode that will determine whether a markdown file will be parsed into exactly one search document or multiple search documents. Default is oneToMany
.
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parsingRepresents the parsing mode for indexing from an Azure blob data source.
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pdfDetermines algorithm for text extraction from PDF files in Azure blob storage.
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queryIncreases the timeout beyond the 5-minute default for Azure SQL database data sources, specified in the format "hh:mm:ss".
A dictionary of indexer-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type.