Xml to tabular format6/15/2023 You can use XML format files to bulk import data into tables or non-partitioned views and to bulk export data.įor the OPENROWSET(BULK.) function specifying a target table is optional. The XML syntax is independent of the direction of the operation that is, the syntax is the same for bulk export and bulk import. This is useful if you have to map all or some of the data fields to columns in different tables or views. Furthermore, the clarity of XML encoding facilitates the creation of multiple format files for a given data file. For example, if a data file contains a character representation of the data, the corresponding SQL column type is lost.Īn XML format file allows for loading of a field that contains a single large object (LOB) data type from a data file.Īn XML format file can be enhanced yet remain compatible with its earlier versions. This enables separation between how data is represented in the data file and what data type is associated with each field in the file. The XML encoding clearly describes the data types and data elements of the data file and also the mapping between data elements and table columns. XML format files contain the data types of target columns. They are human readable, making it easy to understand how data is interpreted during bulk operations. XML format files are self-describing, making them easy to read, create, and extend. In Azure Synapse Analytics and other cloud database platform integrations, accomplish data movement via the COPY statement in Azure Data Factory, or by using T-SQL statements such as COPY INTO and PolyBase. This syntax, including bulk insert, is not supported in Azure Synapse Analytics.
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