
Contributed a targeted documentation update to the opensearch-project/documentation-website repository, focusing on clarifying boolean query support for star-tree indexes. The work detailed which query clauses—must, filter, and should—are supported, explicitly noting that must_not is not, and included practical Markdown examples to illustrate both valid and unsupported query structures. This technical writing effort improved user guidance and reduced ambiguity, helping users align their queries with actual product behavior. The update was linked to a specific pull request for traceability and demonstrated skills in documentation, product-domain knowledge of star-tree indexing, and collaborative workflows using pull request-based review processes.
May 2025 performance: Delivered targeted documentation update for boolean query support in star-tree indexes on the OpenSearch documentation site. The entry clarifies that must, filter, and should are supported while must_not is not, and provides concrete examples of both supported and unsupported structures. Linked to commit ce0d981c973466e4590e82066a79a1d1e6ea324e (PR #9825). This work improves user guidance, reduces potential support questions, and accelerates self-service adoption for star-tree indexing features. No major bugs fixed this month. Technologies demonstrated include technical writing, product-domain knowledge of star-tree indexing, and PR-based collaboration.
May 2025 performance: Delivered targeted documentation update for boolean query support in star-tree indexes on the OpenSearch documentation site. The entry clarifies that must, filter, and should are supported while must_not is not, and provides concrete examples of both supported and unsupported structures. Linked to commit ce0d981c973466e4590e82066a79a1d1e6ea324e (PR #9825). This work improves user guidance, reduces potential support questions, and accelerates self-service adoption for star-tree indexing features. No major bugs fixed this month. Technologies demonstrated include technical writing, product-domain knowledge of star-tree indexing, and PR-based collaboration.

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