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https://phoenix.apache.org/docs/features/table-sampling
Given a sampling rate, it leverages Phoenix statistics and HBase region distribution to perform table sampling
https://phoenix.apache.org/docs/features/segment-scan
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Phoenix translates these predicates into the underlying HBase scan bounds for you, so a worker pool can stay in plain SQL — each worker runs its own query against one segment, in parallel
https://phoenix.apache.org/docs/features/skip-scan
How Phoenix Skip Scan uses key-range hints to efficiently skip non-matching row-key regions
https://phoenix.apache.org/docs/features/ttl
TTL
Phoenix TTL flavors (time-based, view, conditional) and the IS_STRICT_TTL property that controls visibility of expired rows
https://phoenix.apache.org/docs/features/conditional-ttl
Phoenix compaction: expired rows are physically removed by Phoenix's compaction during HBase region compactions
https://phoenix.apache.org/docs/features/phoenix-row-timestamp
Feature
PHOENIX_ROW_TIMESTAMP() functionReturn the underlying HBase row timestamp Phoenix already maintains on every row's empty cell
https://phoenix.apache.org/docs/features/change-data-capture
Change Data Capture (CDC)
Query row-level change events on a Phoenix table using standard SQL — pull pre/post images and change deltas with bounded, resumable reads