fallintoplace opened a new pull request, #1960: URL: https://github.com/apache/iceberg-go/pull/1960
## What - Port the equality-delete metrics pruning used by Java `DeleteFileIndex`. - After partition and sequence filtering, use equality-field null counts and lower/upper bounds from the data file and delete file. - Keep the match when stats are missing, malformed, nested, or otherwise uncertain. - Cache typed bounds so the hot loop avoids repeated literal/interface work. ⚡ Java reference: https://github.com/apache/iceberg/blob/main/core/src/main/java/org/apache/iceberg/DeleteFileIndex.java ## Why With many equality deletes in one partition, most delete files can be ruled out from a data file by its metrics. This reduces the delete files attached to each `FileScanTask`, which also reduces downstream delete-file reads. ## Benchmark Workload: 10,000 data files, 10,000 equality deletes, one partition, 100 disjoint key-range groups. Each data file overlaps 100 delete files (1%). ``` ns/op B/op attached deletes/data file baseline 1.41-1.69s 6.66GB 10,000 metrics pruning 0.93-1.11s 52.5MB 100 ``` The benchmark was run with `go test ./table -run ^$ -bench ^BenchmarkEqualityDeleteIndexMetrics$ -benchtime=1x -count=5` on an Apple M1 Pro. ## Checks - `go test ./...` - `go test -race ./table` - `go vet ./...` ✅ -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
