XML Splitter

XML Splitter operates on large XML documents to produce smaller, well-formed fragments suitable for testing, parsing, and data preparation. It targets back-end engineers, data engineers, QA analysts, and integration specialists who regularly encounter multi‑hundred‑megabyte XML payloads. By producing isolated subtrees or record collections, it enables focused validation, selective extraction, and easier downstream processing without manual copy/paste.\n\nSupported split modes include by_tag (split when a specified element opens), by_pattern (split at user-defined regex boundaries), by_size (create chunks with a target number of elements or records), and by_delimiter (split on a literal delimiter in mixed content). Required inputs are the XML text and the chosen mode; optional inputs add tag_name, pattern, chunk_size, and preserve_structure to maintain hierarchy. The tool guarantees boundary safety by emitting complete fragments when applicable and by reporting any non‑trimmed trailing content as a final chunk.\n\nInternally, the implementation relies on streaming XML parsing to minimize memory usage and improve performance on large files. It tracks open elements, enforces well-formedness within chunks, and avoids loading the entire document into memory. Outputs can be a collection of XML fragments or plain text segments, depending on mode, with an emphasis on determinism so repeated runs produce identical chunk sets given the same inputs. The design favors scriptability, reproducibility, and integration with automated pipelines.\n\nUse cases span data migration projects, test dataset generation, log analysis, and feed preparation for microservices. Users benefit from reduced manual editing, consistent chunk boundaries, and the ability to feed results into ETL processes or version-controlled test data repositories.