Replicate MySQL to ClickHouse with Sling
The article discusses how to replicate MySQL databases to ClickHouse using Sling. It provides a guide for setting up Sling, configuring MySQL and ClickHouse connections, and performing full-refresh replication. The process is aimed at users looking to leverage ClickHouse for analytics while maintaining MySQL for transactional operations.
- ▪Sling is a tool designed to facilitate the replication of MySQL data into ClickHouse.
- ▪The article outlines installation methods for Sling on various platforms including macOS, Linux, and Windows.
- ▪Users can configure MySQL and ClickHouse connections through environment variables or configuration files.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/flarco/replicate-mysql-to-clickhouse-with-sling-3ghj |
| Publication time | Tue, 26 May 2026 13:29:56 +0000 |
| Retrieval time | 2026-05-26T13:37:49.521Z |
| Last seen | 2026-05-26T13:37:49.521Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | pur5LvcJ0cIu |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3283560) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Fritz Larco Posted on May 26 • Originally published at slingdata.io Replicate MySQL to ClickHouse with Sling #mysql #clickhouse #dataengineering #etl Introduction ClickHouse is a columnar OLAP database. It runs aggregate queries across billions of rows in seconds. MySQL is what most apps run on for transactional reads and writes.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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