Add blog: Streaming Real-Time Features to Lakebase with the Native Sink - #101
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muralitalluri-db wants to merge 4 commits into
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Add blog: Streaming Real-Time Features to Lakebase with the Native Sink#101muralitalluri-db wants to merge 4 commits into
muralitalluri-db wants to merge 4 commits into
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Adds a self-serve example under
2026-09-rtm-native-lakebase-sink/that uses Spark RTM to compute features and ingest them to Databricks Lakebase via the native Lakebase sink — for a real-time personalization use case.What it does:
transformWithState(single ValueState).toTable()(native sink) — no ForeachWriter, no offline→online syncContents:
ingest-source-data/— data generator, Kafka topic admin, Delta→Kafka replaysss-rtm-to-lakebase/— Lakebase table creation + the RTM feature pipelineREADME.md— end-to-end self-serve instructions (workspace-specific values are placeholders)Requires DBR 18 LTS.