# Modularizing SOLR Query Creation for Multi-Market Scale

DevFeed: [Modularizing SOLR Query Creation for Multi-Market Scale](<https://devfeed.tech/articles/modularizing-solr-query-creation-for-multi-market-scale-22544.md>)

Original publisher: [Read original article](<https://medium.com/walmartglobaltech/modularizing-solr-query-creation-for-multi-market-scale-a1f34e28b631?source=rss----905ea2b3d4d1---4>)

Author: Naman Parikh

Published: 2026-03-03T12:18:55Z

Content type: tutorial

Language: en

Sources: [Walmart Global Tech](<https://devfeed.tech/sources/walmart-global-tech.md>)

Topics: [Code](<https://devfeed.tech/topics/code.md>), [configuration](<https://devfeed.tech/topics/configuration.md>), [implementation](<https://devfeed.tech/topics/implementation.md>), [Testing](<https://devfeed.tech/topics/testing.md>), [debug](<https://devfeed.tech/topics/debug.md>)

Tags: [article](<https://devfeed.tech/tags/article.md>), [code](<https://devfeed.tech/tags/code.md>), [complexity](<https://devfeed.tech/tags/complexity.md>), [configuration](<https://devfeed.tech/tags/configuration.md>), [developer](<https://devfeed.tech/tags/developer.md>), [errors](<https://devfeed.tech/tags/errors.md>), [exceptions](<https://devfeed.tech/tags/exceptions.md>), [implementation](<https://devfeed.tech/tags/implementation.md>), [information-retrieval](<https://devfeed.tech/tags/information-retrieval.md>), [modular-monolith](<https://devfeed.tech/tags/modular-monolith.md>), [monolithic-architecture](<https://devfeed.tech/tags/monolithic-architecture.md>), [regression](<https://devfeed.tech/tags/regression.md>), [software-architecture](<https://devfeed.tech/tags/software-architecture.md>), [software-engineering](<https://devfeed.tech/tags/software-engineering.md>), [technical](<https://devfeed.tech/tags/technical.md>), [testing](<https://devfeed.tech/tags/testing.md>)

## AI overview

This article describes modularizing a 12,000-line SOLR query creation implementation used across multiple markets. It explains how separating query concerns, adding market-specific configuration, and using stronger typing aimed to reduce coupling, regression risk, and runtime errors.

## Source excerpt

Introduction When the SOLR query logic expanded into a 12,000-line monolithic implementation, each modification introduced significant risk, making every change feel akin to defusing a critical system. Adding a market-specific override required yet another if block, compounding complexity and slowing time-to-market. In this article, we will deep dive how we broke that SOLR query creation logic, enabling clean configuration per market, stronger typing, reducing technical debts and dramatically reduced runtime errors. Image generated with DALL-E via ChatGPTThe Problem: When SOLR Queries Creation Logic Become Technical Debt The SOLR query logic class was handling filtering logic, boosting logic, boost functions, pagination etc. All the parameters related to SOLR query was getting generated using single class. Overthe time, this core class handled various logics related to different type of queries: Primary search queries Item insertions via business tools Item insertions via semantic sources Thousands of lines tangled edge-case handling, scoring tweaks, and boosting logic. This unscalable approach: Blocked rapid iteration for new markets Tight Coupling: All query-handling logic lived in one massive class, making it difficult to cleanly separate concerns. Market-specific changes could unintentionally affect unrelated logic, requiring exhaustive regression testing. High Risk of Unintended Consequences: Changing business requirements (such as supporting different filtering or boosting strategies for a new market) entailed changing existing code that already served other markets. Developers had to be extremely cautious, as a bug or oversight could break unrelated functionality. No Configuration Flexibility: There was no clear system for externalizing market-specific configuration. Instead, all logic changes happened directly in code, preventing business users or product managers from making simple market changes without developer intervention. Increased Runtime exceptions