SQL Keywords

SQL XML

What is SQL XML?

SQL XML is a collection of language features that let you generate, store, and query XML data directly from SQL statements.
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Compatible dialects for SQL XML: SQL Server (FOR XML, xml data type) – Full PostgreSQL (xml type, SQL\/XML functions) – Full Oracle Database – Full IBM Db2 – Full MySQL 8.0 – Partial (XML functions via XPath; no xml data type) SQLite – None (requires extensions)

SQL XML Full Explanation

SQL XML (also written SQL\/XML) refers to the ISO\/IEC standard extensions that merge relational SQL with XML technology. These extensions introduce: 1) an XML data type for persisting XML documents, 2) publishing features that convert relational result sets into XML, and 3) XQuery\/XPath-based functions for querying and modifying the stored XML.Most implementations expose two complementary capabilities:- Publishing XML – turning query results into well-formed XML via clauses such as FOR XML (SQL Server) or functions like XMLELEMENT, XMLFOREST, XMLAGG (PostgreSQL, Oracle, DB2).- Querying XML – extracting or filtering data inside an XML column using XMLQUERY, XMLEXISTS, XMLTABLE, or proprietary methods like the .value() and .query() methods in SQL Server.Because XML is hierarchical while SQL tables are tabular, the standard maps rows and columns to XML elements, attributes, and nested nodes. The XML data type enforces well-formedness and usually supports indexes (XML indexes, full-text) to speed up XPath lookups.Caveats:- XML processing is CPU-intensive; large payloads can slow queries if not indexed.- Implicit conversions between xml and character types are vendor-specific.- Some databases treat XML as a LOB (Large Object) rather than a first-class typed column, limiting indexing.- Namespaces must be handled explicitly; forgetting them leads to empty results in XPath expressions.

SQL XML Syntax

-- Publish relational data as XML (SQL Server style)
SELECT id, name, price
FROM products
FOR XML PATH('product'), ROOT('products'), TYPE;

-- Standard SQL\/XML construction
SELECT XMLELEMENT(NAME "product",
                  XMLATTRIBUTES(id),
                  XMLFOREST(name AS "name", price AS "price"))
FROM products;

SQL XML Parameters

  • - mode (RAW|AUTO|PATH|EXPLICIT) - string - Formatting style
  • - ROOT ('name') - string - Optional root element
  • - TYPE (keyword) - Return as xml data type instead of NVARCHAR
  • - XMLELEMENT (name, content) - variadic - Builds an element
  • - XMLATTRIBUTES (expr AS attr) - variadic - Adds attributes
  • - XMLFOREST (expr AS elem, ...) - variadic - Converts columns to sibling elements
  • - XMLAGG (xml_expr) - xml - Aggregates XML fragments into one document

Example Queries Using SQL XML

-- 1. Publish orders as XML document
SELECT order_id, customer_id, total
FROM orders
FOR XML AUTO, ROOT('orders'), TYPE;

-- 2. Create XML from columns (Oracle\/PostgreSQL)
SELECT XMLELEMENT(NAME "order",
                  XMLATTRIBUTES(order_id AS "id"),
                  XMLFOREST(customer_id AS "customer", total AS "total")) AS order_xml
FROM orders;

-- 3. Store and query XML data
CREATE TABLE invoices (
  id INT PRIMARY KEY,
  doc XML
);
INSERT INTO invoices VALUES (1, '<invoice><amount>100</amount></invoice>');
SELECT id
FROM invoices
WHERE XMLQUERY('declare default element namespace ""; /invoice/amount[text()=100]' PASSING doc) IS NOT NULL;

Expected Output Using SQL XML

  • 1) FOR XML returns a single xml-typed column containing a root with nested elements
  • 2) XMLELEMENT builds one XML fragment per row
  • 3) The SELECT returns invoice id 1 because its node equals 100

Use Cases with SQL XML

  • Exposing database records as XML for legacy SOAP services
  • Migrating relational data to XML-based configuration files
  • Persisting semi-structured data that does not fit rigid columns
  • Running XQuery analytics over embedded XML documents
  • Interfacing with applications that accept XML payloads

Common Mistakes with SQL XML

  • Forgetting the TYPE directive in SQL Server, causing XML to be returned as NVARCHAR instead of xml
  • Omitting namespaces in XPath, resulting in empty result sets
  • Treating XML columns as text and losing well-formedness validation
  • Using RAW mode with large tables, producing huge, memory-heavy XML strings
  • Not indexing xml columns, leading to full table scans on every XMLQUERY

Related Topics

FOR XML, JSON functions, XMLELEMENT, XMLQUERY, XMLTABLE, XQuery, JSON_TABLE

First Introduced In

ISO\/IEC 9075-14:2003 (SQL\/XML)

Frequently Asked Questions

What is the difference between FOR XML and SQL\/XML functions?

FOR XML is a proprietary SQL Server clause for publishing XML. SQL\/XML functions like XMLELEMENT and XMLAGG are part of the ISO standard and available in databases such as PostgreSQL, Oracle, and Db2.

Does SQL XML replace JSON handling?

No. SQL XML targets XML documents. Many modern databases also offer dedicated JSON data types and functions. Choose the format that aligns with your application requirements.

How can I speed up XML queries?

Create XML indexes (SQL Server) or functional indexes on XPath expressions (PostgreSQL). Keep XML documents small and filter early to avoid full document scans.

Can I validate XML against an XSD in the database?

Yes, SQL Server and Oracle allow binding an XML schema to a column, enforcing structure at insert and update time.

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