zhuqi-lucas commented on issue #16710:
URL: https://github.com/apache/datafusion/issues/16710#issuecomment-3082712617

   Updated parquet result from my local using the 1e8 dataset, it even faster:
   
   ```rust
   ./bench.sh run h2o_medium_join_parquet
   ***************************
   DataFusion Benchmark Script
   COMMAND: run
   BENCHMARK: h2o_medium_join_parquet
   QUERY: All
   DATAFUSION_DIR: /Users/zhuqi/arrow-datafusion/benchmarks/..
   BRANCH_NAME: support_parquet_for_h2o
   DATA_DIR: /Users/zhuqi/arrow-datafusion/benchmarks/data
   RESULTS_DIR: 
/Users/zhuqi/arrow-datafusion/benchmarks/results/support_parquet_for_h2o
   CARGO_COMMAND: cargo run --release
   PREFER_HASH_JOIN: true
   ***************************
   RESULTS_FILE: 
/Users/zhuqi/arrow-datafusion/benchmarks/results/support_parquet_for_h2o/h2o_join.json
   Running h2o join benchmark...
   + cargo run --release --bin dfbench -- h2o --iterations 3 --join-paths 
/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_NA_0.parquet,/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_1e2_0.parquet,/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_1e5_0.parquet,/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_1e8_NA.parquet
 --queries-path /Users/zhuqi/arrow-datafusion/benchmarks/queries/h2o/join.sql 
-o 
/Users/zhuqi/arrow-datafusion/benchmarks/results/support_parquet_for_h2o/h2o_join.json
       Finished `release` profile [optimized] target(s) in 0.34s
        Running 
`/Users/zhuqi/arrow-datafusion/target/aarch64-apple-darwin/release/dfbench h2o 
--iterations 3 --join-paths 
/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_NA_0.parquet,/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_1e2_0.parquet,/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_1e5_0.parquet,/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_1e8_NA.parquet
 --queries-path /Users/zhuqi/arrow-datafusion/benchmarks/queries/h2o/join.sql 
-o 
/Users/zhuqi/arrow-datafusion/benchmarks/results/support_parquet_for_h2o/h2o_join.json`
   Running benchmarks with the following options: RunOpt { query: None, common: 
CommonOpt { iterations: 3, partitions: None, batch_size: None, mem_pool_type: 
"fair", memory_limit: None, sort_spill_reservation_bytes: None, debug: false }, 
queries_path: "/Users/zhuqi/arrow-datafusion/benchmarks/queries/h2o/join.sql", 
path: "benchmarks/data/h2o/G1_1e7_1e7_100_0.csv", join_paths: 
"/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_NA_0.parquet,/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_1e2_0.parquet,/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_1e5_0.parquet,/Users/zhuqi/arrow-datafusion/benchmarks/data/h2o/J1_1e8_1e8_NA.parquet",
 output_path: 
Some("/Users/zhuqi/arrow-datafusion/benchmarks/results/support_parquet_for_h2o/h2o_join.json")
 }
   Q1: SELECT x.id1, x.id2, x.id3, x.id4 as xid4, small.id4 as smallid4, x.id5, 
x.id6, x.v1, small.v2 FROM x INNER JOIN small ON x.id1 = small.id1;
   Query 1 iteration 1 took 6.2 ms and returned 90 rows
   Query 1 iteration 2 took 0.7 ms and returned 90 rows
   Query 1 iteration 3 took 0.6 ms and returned 90 rows
   Query 1 avg time: 2.51 ms
   Q2: SELECT x.id1 as xid1, medium.id1 as mediumid1, x.id2, x.id3, x.id4 as 
xid4, medium.id4 as mediumid4, x.id5 as xid5, medium.id5 as mediumid5, x.id6, 
x.v1, medium.v2 FROM x INNER JOIN medium ON x.id2 = medium.id2;
   Query 2 iteration 1 took 5.4 ms and returned 89 rows
   Query 2 iteration 2 took 4.1 ms and returned 89 rows
   Query 2 iteration 3 took 4.4 ms and returned 89 rows
   Query 2 avg time: 4.64 ms
   Q3: SELECT x.id1 as xid1, medium.id1 as mediumid1, x.id2, x.id3, x.id4 as 
xid4, medium.id4 as mediumid4, x.id5 as xid5, medium.id5 as mediumid5, x.id6, 
x.v1, medium.v2 FROM x LEFT JOIN medium ON x.id2 = medium.id2;
   Query 3 iteration 1 took 4.1 ms and returned 100 rows
   Query 3 iteration 2 took 3.8 ms and returned 100 rows
   Query 3 iteration 3 took 4.2 ms and returned 100 rows
   Query 3 avg time: 4.02 ms
   Q4: SELECT x.id1 as xid1, medium.id1 as mediumid1, x.id2, x.id3, x.id4 as 
xid4, medium.id4 as mediumid4, x.id5 as xid5, medium.id5 as mediumid5, x.id6, 
x.v1, medium.v2 FROM x JOIN medium ON x.id5 = medium.id5;
   Query 4 iteration 1 took 3.0 ms and returned 89 rows
   Query 4 iteration 2 took 2.9 ms and returned 89 rows
   Query 4 iteration 3 took 2.8 ms and returned 89 rows
   Query 4 avg time: 2.90 ms
   Q5: SELECT x.id1 as xid1, large.id1 as largeid1, x.id2 as xid2, large.id2 as 
largeid2, x.id3, x.id4 as xid4, large.id4 as largeid4, x.id5 as xid5, large.id5 
as largeid5, x.id6 as xid6, large.id6 as largeid6, x.v1, large.v2 FROM x JOIN 
large ON x.id3 = large.id3;
   Query 5 iteration 1 took 468.4 ms and returned 92 rows
   Query 5 iteration 2 took 464.7 ms and returned 92 rows
   Query 5 iteration 3 took 449.2 ms and returned 92 rows
   Query 5 avg time: 460.75 ms
   + set +x
   Done
   ```


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