<ul data-eligibleForWebStory="true"><li>Maneshwar encountered a bug with Meilisearch when indexing deeply structured API data, due to a 65535-field limit.</li><li>Meilisearch flattens nested objects when indexing, causing each path to become a field.</li><li>Excessive nesting in JSON can lead to surpassing the field limit quickly.</li><li>To address the issue, Maneshwar flattened the structure and converted deep substructures into strings.</li><li>By using JSON.stringify for complex arrays, the field count was reduced, keeping the data searchable and avoiding field explosion.</li><li>Recommendations include flattening nested objects, stringify complex arrays, and using prefix naming to avoid field explosion.</li><li>It is advised to audit field count at scale to prevent ingestion failures.</li><li>Flattening hierarchical data early and smartly is recommended for efficient indexing.</li><li>Maneshwar emphasized the importance of understanding Meilisearch's limitations to avoid production-scale failures.</li><li>LiveAPI simplifies API documentation by automatically indexing API endpoints across repositories, making it easier to interact with APIs in large infrastructures.</li></ul>

Hitting Meilisearch’s Field Limit? Here's the Real Culprit—and the Fix

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