The following table lists the supported authentication methods for Azure Storage external tables and the permissions needed to read or write to the table. The authentication method to access an external table is based on the connection string provided during its creation, and the permissions required to access the table vary depending on the authentication method. Export will distribute the writes between all accounts provided. Provide more than a single storage account to avoid storage throttling while exporting large amounts of data to the external table. See storage connection strings.Ī key-value property pair in the format PropertyName = PropertyValue. The external table storage type is determined by the provided connection strings. One or more comma-separated paths to Azure Blob Storage blob containers, Azure Data Lake Gen 2 file systems or Azure Data Lake Gen 1 containers, including credentials.

When using an external table for export scenario, you're limited to the following formats: CSV, TSV, JSON and Parquet. We recommend using the Parquet format for external tables to improve query and export performance, unless you use JSON paths mapping. The data format, which can be any of the ingestion formats. See partitions formatting to learn how this value should look.Īn external data folder URI path format to use with partitions. Partition column can exist in the data file itself, or as part of the file path. If the schema is unknown, use infer_storage_schema to infer the schema based on external file contents.Ī comma-separated list of columns by which the external table is partitioned. The external data schema is a comma-separated list of one or more column names and data types, where each item follows the format: ColumnName : ColumnType.

An external table can't have the same name as a regular table in the same database. Parameters NameĪn external table name that adheres to the entity names rules. Kind is storage for all Azure Storage external data store types.

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