--- title: Elasticsearch and OpenSearch schema rough edges | daily.dev description: Elasticsearch and OpenSearch have several non-obvious schema behaviors that can cause data loss and performance issues. First, the schema is implicitly defined... canonical: https://daily.dev/posts/elasticsearch-and-opensearch-schema-rough-edges-wzfqahkgd twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Elasticsearch and OpenSearch schema rough edges | daily.dev og:description: Elasticsearch and OpenSearch have several non-obvious schema behaviors that can cause data loss and performance issues. First, the schema is implicitly defined... og:url: https://daily.dev/posts/elasticsearch-and-opensearch-schema-rough-edges-wzfqahkgd og:image: https://api.daily.dev/og/posts/wZFqaHKGD.png og:image:alt: Elasticsearch and OpenSearch schema rough edges og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Elasticsearch and OpenSearch schema rough edges **[Quesma](https://daily.dev/sources/quesma)** · 6 min read · 0 upvotes · 0 comments ## Summary Elasticsearch and OpenSearch have several non-obvious schema behaviors that can cause data loss and performance issues. First, the schema is implicitly defined by the first indexed document, meaning subsequent documents with conflicting field types are silently dropped during bulk ingestion. Second, there is a 1000-field limit that, when exceeded, degrades both search performance and UI usability — a trap for multi-tenant apps with custom attributes. Third, despite documents appearing as JSON, arrays of objects are internally flattened into per-field arrays, causing different document structures to appear identical in search results. The post argues these rough edges are especially dangerous in observability and security contexts, and hints at Quesma's gateway approach as a potential solution. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Guide to Migrating from Apache Solr to OpenSearch](https://daily.dev/posts/guide-to-migrating-from-apache-solr-to-opensearch-5b3pqrwmf) · BigData Boutique blog · 4 upvotes · 0 comments - [Unlocking Observability by Design With Inferred Schemas](https://daily.dev/posts/unlocking-observability-by-design-with-inferred-schemas-yjrs7fuwg) · DevOps.com · 0 upvotes · 0 comments --- Tags: [#data-engineering](https://daily.dev/tags/data-engineering), [#elk](https://daily.dev/tags/elk), [#opensearch](https://daily.dev/tags/opensearch), [#full-text-search](https://daily.dev/tags/full-text-search) [View this post on daily.dev](https://daily.dev/posts/elasticsearch-and-opensearch-schema-rough-edges-wzfqahkgd) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Elasticsearch and OpenSearch schema rough edges","url":"https://daily.dev/posts/elasticsearch-and-opensearch-schema-rough-edges-wzfqahkgd","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/elasticsearch-and-opensearch-schema-rough-edges-wzfqahkgd"},"datePublished":"2026-03-31T13:39:55.600Z","dateModified":"2026-03-31T13:50:41.714Z","description":"Elasticsearch and OpenSearch have several non-obvious schema behaviors that can cause data loss and performance issues. 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