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upgrade to df55 - #83
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| DataSourceExec: file_groups={1 group: [[/data/tpch/plan_sf0.02/region/1.parquet, /data/tpch/plan_sf0.02/region/10.parquet, /data/tpch/plan_sf0.02/region/11.parquet, /data/tpch/plan_sf0.02/region/12.parquet, /data/tpch/plan_sf0.02/region/13.parquet, /data/tpch/plan_sf0.02/region/14.parquet, /data/tpch/plan_sf0.02/region/15.parquet, /data/tpch/plan_sf0.02/region/16.parquet, /data/tpch/plan_sf0.02/region/2.parquet, /data/tpch/plan_sf0.02/region/3.parquet, /data/tpch/plan_sf0.02/region/4.parquet, /data/tpch/plan_sf0.02/region/5.parquet, /data/tpch/plan_sf0.02/region/6.parquet, /data/tpch/plan_sf0.02/region/7.parquet, /data/tpch/plan_sf0.02/region/8.parquet, /data/tpch/plan_sf0.02/region/9.parquet]]}, projection=[r_regionkey, r_name], file_type=parquet, predicate=r_name@1 = EUROPE, pruning_predicate=r_name_null_count@2 != row_count@3 AND r_name_min@0 <= EUROPE AND EUROPE <= r_name_max@1, required_guarantees=[r_name in (EUROPE)] | ||
| CuDFProjectionExec: expr=[p_partkey@2 as p_partkey, p_mfgr@3 as p_mfgr, s_name@4 as s_name, s_address@5 as s_address, s_phone@6 as s_phone, s_acctbal@7 as s_acctbal, s_comment@8 as s_comment, ps_supplycost@9 as ps_supplycost, n_name@0 as n_name, n_regionkey@1 as n_regionkey] | ||
| CuDFLoadExec | ||
| HashJoinExec: mode=CollectLeft, join_type=LeftSemi, on=[(p_partkey@0, ps_partkey@1), (ps_supplycost@7, min(partsupp.ps_supplycost)@0)], projection=[s_acctbal@5, s_name@2, n_name@8, p_partkey@0, p_mfgr@1, s_address@3, s_phone@4, s_comment@6] |
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Example of a new left semi join which isn't supported, so we have to Load and Unload.
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Minor Changes
Similar changes to what we say in datafusion-distributed
Code Changes
ExecutionPlan::as_any()ExecutionPlan::apply_expressions()tpchgenmakes it so that the generators (ex.RegionArrow) return aResultex. `Iterator<Item = Result<RecordBatch, ArrowError>>,Plan Changes
dynamic_rg_pruning=eligiblereverse_row_groups=truesort_order_for_reorder=...preserve_partitioning=[false]SortExec/ProjectionExecordering is swapped.Significant Changes
RecordBatches as they are produced. This is a schema-level operation on existing GPU buffers /cudf::columns.ScalarSubqueryExpr. These are supported automatically. We just had to make sure they aren't blocked by ourexpr_to_cudf_exprgate.CuDFLoad/CuDFUnloadin plans.