A Go library that converts SQL queries to Elasticsearch DSL for easier query construction.
ElasticSQL is a Go library that converts SQL queries into Elasticsearch Domain Specific Language (DSL). It allows developers to write queries using familiar SQL syntax while generating the corresponding Elasticsearch JSON queries underneath. This tool solves the problem of Elasticsearch's steep learning curve by providing a SQL interface to its powerful search capabilities.
Go developers working with Elasticsearch who want to write queries using SQL syntax rather than learning Elasticsearch's native query DSL. It's particularly useful for teams transitioning from relational databases to Elasticsearch.
Developers choose ElasticSQL because it significantly reduces the learning curve for Elasticsearch querying while maintaining compatibility with most Elasticsearch versions. Unlike other solutions, it focuses specifically on Go applications and avoids deprecated DSL patterns.
convert sql to elasticsearch DSL in golang(go)
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Handles a wide range of SQL operators including =, !=, >, <, IN, NOT IN, LIKE, and BETWEEN, as detailed in the README's feature list, making it versatile for common queries.
Supports not only standard SQL functions like COUNT and AVG but also Elasticsearch-native stats, extended_stats, and percentiles, enhancing analytical capabilities beyond typical SQL.
Avoids deprecated DSL filters, ensuring compatibility across multiple Elasticsearch versions, which is explicitly noted in the README for broader adoption.
Properly handles Elasticsearch keywords through backtick escaping, preventing conflicts with reserved terms like 'order' or 'timestamp', as shown in the usage examples.
Lacks support for NULL checks, JOIN expressions, and HAVING clauses, limiting its use for full SQL equivalence and complex data relationships, as admitted in the README's todo list.
Currently uses match phrase queries for SQL LIKE, which may not behave identically to SQL wildcard patterns and could change in future updates, adding uncertainty for pattern matching.
Locked to the Go ecosystem, making it unsuitable for projects in other languages or teams seeking cross-platform query translation tools.