RSS to ClickHouse Integration
AI-first ETL from RSS into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads RSS into ClickHouse
Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
RSS: Syndicated feed items from publishers and blogs.
ClickHouse: Columnar OLAP engine for fast aggregations.
How RSS entities map to ClickHouse
| RSS entity | ClickHouse object | Notes |
|---|---|---|
| feed items | rss_feed_items | id PK · custom fields → JSON or Map columns |
| titles | rss_titles | id PK · linked to rss_feed_items |
| links | rss_links | id PK · linked to rss_feed_items |
| publication dates | rss_publication_dates | id PK · linked to rss_feed_items |
FAQ
How does Datrise handle RSS's custom fields in ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the RSS to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
Related pipelines
More destinations for RSS
More sources for ClickHouse
Early access
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