In this case, the resulting binary XML stream contains all token definitions inline and is not dependent on schema or external token sets. The vocabulary is schema.Īlso set a flag to indicate that the encoding produces a binary XML stream that is independent of a schema. If the schema is available in the database, it is fetched from the repository or database in the binary XML format and registered with the local vocabulary manager. For a repository-based or a database-based processor, the encoder queries the repository or the database for the compiled schema based on the schema URL. Set the schemaAware flag on the encoder that specifies whether the encoding is schema-aware or schema-less.įor schema-aware encoding, the encoder determines whether the schema with the specified schema URL has been registered with the vocabulary manager. The encoding of the XML text is based on the results of parsing the XML text. It reads the XML text using streaming SAX. It takes XML text as input, and it outputs the encoded binary XML to the BinXMLStream. The encoder is created from a BinXMLStream. The BinXMLProcessor is not thread-safe, so multiple threads or clients accessing the repository must implement their own thread safety scheme. If the first binary XML processor registers a schema and the second binary XML processor registers the same schema in the repository, the binary XML processor does not compile the schema, but simply returns the vocabulary-id of the existing compiled schema in the local vocabulary cache. The second binary XML processor is used for decoding, is not aware of the location of the schema, and fetches the schema from the repository. The first binary XML processor ensures that the schema is registered with the repository before performing the encoding, or the schema might be automatically registered using the xsi:schemaLocation tag at the time of encoding. It can be a file system or some other repository. There is a common repository (that is not necessarily a database) connected to all the clients for metadata storage. In this scenario there are multiple clients, each running a binary XML processor. Partial validity implies no validation for unique keys, keyrefs, identifiers (IDs), or DTD attributes such as IDREF. Partial validity: Binary XML stream encoding using schema implies at least partial validity with the schema. It is incremented by the binary XML processor when a schema is evolved (that is, a new version of the same schema is registered with the binary XML processor). The version number is specified as part of the system level annotations. Schema version: Every annotated schema has a version number associated with it. A schema-id represents the entire set of schema documents, including imported and included schemas. The schema-id remains constant even when the schema is evolved. The schema-id is unique for a binary XML processor and is identifiable only within the scope of that binary XML processor. Schema-id: A unique opaque binary identifier for a schema scoped to the binary XML processor. Vocabulary id: Can be a schema-id or a namespace Universal Resource Identifier (URI) for a token table. Token table: When a text XML document does not have a schema associated with it, then a token (or symbol) table is used to minimize space for repeated items. It is either a 16-byte Global User identifier (GUID) or an opaque sequence of bytes like a URL. SalesPerson-Contains unparsed JSON text strings with information about the FirstName and LastName of the sales person, as in the following example.Terms related to binary XML usage are described.ĭoc-id: Each encoded XML document is identified by a unique doc-id. Transform tab-This button will transform the existing column by parsing its contents.Īdd column tab-This button will add a new column to the table parsing the contents of the selected column.įor this article, you'll be using the following sample table that contains the following columns that you need to parse: You can perform this parse operation by selecting the Parse button found inside the following places in the Power Query Editor: In Power Query, you can parse the contents of a column with text strings by identifying the contents as either a JSON or XML text string.
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