Step 2: Create an index The index specifies the fields in a document, attributes, and other constructs that shape the search experience. Here's how to create an index with a searchable content field to store the text extracted from blobs: post https service t/indexes? Api-version Content-Type: application/json api-key: admin key "name" : "my-target-index "fields "name "id "type "ring "key true, "searchable false, "name "content "type "ring "searchable true, "filterable false, "sortable false, "facetable false for more on creating indexes, see create Index Step 3: Create an indexer An indexer. Once the index and data source have been created, you're ready to create the indexer: post https service t/indexers? Api-version Content-Type: application/json api-key: admin key "name" : "blob-indexer "datasourceName" : "blob-datasource "targetIndexName" : "my-target-index "schedule" : "interval" : "PT2H" this indexer will run every two hours (schedule interval is set to "PT2H. To run an indexer every 30 minutes, set the interval to "PT30M". The shortest supported interval is 5 minutes.
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To create a data source: post https service t/datasources? Api-version, content-Type: application/json api-key: admin key "name" : "blob-datasource "type" : "azureblob "credentials" : "connectionString" : name Accountkey account key ", "container" : "name" : "my-container "query" : for more on the Create datasource api, see. How to specify credentials, you can provide the credentials for the blob container in one of these ways: proposal Full access storage account connection string : storage account Accountkey your account key. You can get the connection string from the azure portal by navigating to the storage account blade settings keys (for Classic storage accounts) or Settings access keys (for azure resource manager storage accounts). Storage account shared access signature (SAS) connection string: BlobEndpointhttps your validity end The sas should have the list and read permissions on containers and objects (blobs in this case). Container shared access signature : storage account t/ container signature se the validity end time sprl. The sas should have the list and read permissions on the container. For more info on storage shared access signatures, see. Using Shared Access Signatures. Note If you use sas credentials, you will need to update the data source credentials periodically with renewed signatures to prevent their expiration. If sas credentials expire, the indexer will fail with an error message similar to Credentials provided in the connection string are invalid or have expired.
A data source specifies which data to index, credentials needed to access the listing data, and policies to efficiently identify changes in the data (new, modified, or deleted rows). A data source can be used by multiple indexers in the same search service. For blob indexing, the data source must have the following required properties: name is the unique name of the data source within your search service. Type must be azureblob. Credentials provides the storage account connection string as the nnectionString parameter. How to specify credentials below for details. Container specifies a container in your storage account. By default, all blobs within the container are retrievable. If you only want to index blobs in a particular virtual directory, you can specify that directory using the optional query parameter.
Then, it offers a deeper exploration of behaviors and scenarios you are likely to encounter. Supported document formats, the blob indexer can extract text from the following document formats: Important, support for csv and json arrays is currently in preview. These formats are available only using version -Preview of the rest api or version.x-preview of the. Please remember, preview apis are intended for testing and evaluation, and should not be used in production environments. Setting up blob indexing, you can set up an azure Blob Storage indexer using: Note. Some parts features (for example, field mappings) are not yet available in the portal, and have to be used programmatically. Here, we demonstrate the flow using the rest api. Step 1: Create a data source.
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