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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 turns a Phoenix table into a stream of change events that downstream consumers can read using regular SQL
https://phoenix.apache.org/docs/quick-start
Check out my presentation for various existing and to-be-done Phoenix features to support your favorite HBase trick
https://phoenix.apache.org/docs/fundamentals/performance
In addition, to minimize startup costs, Phoenix uses native HBase APIs rather than going through the MapReduce framework
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/skip-scan
How Phoenix Skip Scan uses key-range hints to efficiently skip non-matching row-key regions