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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/08/19 10:33:21 UTC
[GitHub] [spark] wangyum commented on pull request #29243: [SPARK-32444][SQL] Infer filters from DPP
wangyum commented on pull request #29243:
URL: https://github.com/apache/spark/pull/29243#issuecomment-676111794
Before this pr. We can only prune on `fact_stats.store_id` column:
```
== Physical Plan ==
*(3) Project [store_id#2705, code#2706, product_id#2708L]
+- *(3) BroadcastHashJoin [cast(store_id#2705 as bigint)], [store_id#2709L], Inner, BuildRight, false
:- *(3) Project [store_id#2705, code#2706]
: +- *(3) BroadcastHashJoin [store_id#2705], [store_id#2707], Inner, BuildRight, false
: :- *(3) ColumnarToRow
: : +- FileScan parquet default.fact_stats[store_id#2705] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex[file:/Users/yumwang/spark/SPARK-27227/sql/core/spark-warehouse/org.apache.spark..., PartitionFilters: [isnotnull(store_id#2705), dynamicpruningexpression(cast(store_id#2705 as bigint) IN subquery#2716)], PushedFilters: [], ReadSchema: struct<>
: : +- Subquery subquery#2716, [id=#245]
: : +- *(2) HashAggregate(keys=[store_id#2709L#2715L], functions=[])
: : +- Exchange hashpartitioning(store_id#2709L#2715L, 5), true, [id=#241]
: : +- *(1) HashAggregate(keys=[store_id#2709L AS store_id#2709L#2715L], functions=[])
: : +- *(1) Filter ((isnotnull(product_id#2708L) AND (product_id#2708L < 3)) AND isnotnull(store_id#2709L))
: : +- *(1) ColumnarToRow
: : +- FileScan parquet default.product[product_id#2708L,store_id#2709L] Batched: true, DataFilters: [isnotnull(product_id#2708L), (product_id#2708L < 3), isnotnull(store_id#2709L)], Format: Parquet, Location: InMemoryFileIndex[file:/Users/yumwang/spark/SPARK-27227/sql/core/spark-warehouse/org.apache.spark..., PartitionFilters: [], PushedFilters: [IsNotNull(product_id), LessThan(product_id,3), IsNotNull(store_id)], ReadSchema: struct<product_id:bigint,store_id:bigint>
: +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [id=#275]
: +- *(1) ColumnarToRow
: +- FileScan parquet default.code_stats[code#2706,store_id#2707] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex[file:/Users/yumwang/spark/SPARK-27227/sql/core/spark-warehouse/org.apache.spark..., PartitionFilters: [isnotnull(store_id#2707)], PushedFilters: [], ReadSchema: struct<code:int>
+- BroadcastExchange HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [id=#283]
+- *(2) Filter ((isnotnull(product_id#2708L) AND (product_id#2708L < 3)) AND isnotnull(store_id#2709L))
+- *(2) ColumnarToRow
+- FileScan parquet default.product[product_id#2708L,store_id#2709L] Batched: true, DataFilters: [isnotnull(product_id#2708L), (product_id#2708L < 3), isnotnull(store_id#2709L)], Format: Parquet, Location: InMemoryFileIndex[file:/Users/yumwang/spark/SPARK-27227/sql/core/spark-warehouse/org.apache.spark..., PartitionFilters: [], PushedFilters: [IsNotNull(product_id), LessThan(product_id,3), IsNotNull(store_id)], ReadSchema: struct<product_id:bigint,store_id:bigint>
```
After this pr. We can also prune on `code_stats.store_id` column:
```
== Physical Plan ==
*(3) Project [store_id#2705, code#2706, product_id#2708L]
+- *(3) BroadcastHashJoin [cast(store_id#2705 as bigint)], [store_id#2709L], Inner, BuildRight, false
:- *(3) Project [store_id#2705, code#2706]
: +- *(3) BroadcastHashJoin [store_id#2705], [store_id#2707], Inner, BuildRight, false
: :- *(3) ColumnarToRow
: : +- FileScan parquet default.fact_stats[store_id#2705] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex[file:/Users/yumwang/spark/SPARK-27227/sql/core/spark-warehouse/org.apache.spark..., PartitionFilters: [isnotnull(store_id#2705), dynamicpruningexpression(cast(store_id#2705 as bigint) IN subquery#2716)], PushedFilters: [], ReadSchema: struct<>
: : +- Subquery subquery#2716, [id=#250]
: : +- *(2) HashAggregate(keys=[store_id#2709L#2715L], functions=[])
: : +- Exchange hashpartitioning(store_id#2709L#2715L, 5), true, [id=#246]
: : +- *(1) HashAggregate(keys=[store_id#2709L AS store_id#2709L#2715L], functions=[])
: : +- *(1) Filter ((isnotnull(product_id#2708L) AND (product_id#2708L < 3)) AND isnotnull(store_id#2709L))
: : +- *(1) ColumnarToRow
: : +- FileScan parquet default.product[product_id#2708L,store_id#2709L] Batched: true, DataFilters: [isnotnull(product_id#2708L), (product_id#2708L < 3), isnotnull(store_id#2709L)], Format: Parquet, Location: InMemoryFileIndex[file:/Users/yumwang/spark/SPARK-27227/sql/core/spark-warehouse/org.apache.spark..., PartitionFilters: [], PushedFilters: [IsNotNull(product_id), LessThan(product_id,3), IsNotNull(store_id)], ReadSchema: struct<product_id:bigint,store_id:bigint>
: +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [id=#309]
: +- *(1) ColumnarToRow
: +- FileScan parquet default.code_stats[code#2706,store_id#2707] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex[file:/Users/yumwang/spark/SPARK-27227/sql/core/spark-warehouse/org.apache.spark..., PartitionFilters: [isnotnull(store_id#2707), dynamicpruningexpression(cast(store_id#2707 as bigint) IN subquery#2718)], PushedFilters: [], ReadSchema: struct<code:int>
: +- Subquery subquery#2718, [id=#279]
: +- *(2) HashAggregate(keys=[store_id#2709L#2717L], functions=[])
: +- Exchange hashpartitioning(store_id#2709L#2717L, 5), true, [id=#275]
: +- *(1) HashAggregate(keys=[store_id#2709L AS store_id#2709L#2717L], functions=[])
: +- *(1) Filter ((isnotnull(product_id#2708L) AND (product_id#2708L < 3)) AND isnotnull(store_id#2709L))
: +- *(1) ColumnarToRow
: +- FileScan parquet default.product[product_id#2708L,store_id#2709L] Batched: true, DataFilters: [isnotnull(product_id#2708L), (product_id#2708L < 3), isnotnull(store_id#2709L)], Format: Parquet, Location: InMemoryFileIndex[file:/Users/yumwang/spark/SPARK-27227/sql/core/spark-warehouse/org.apache.spark..., PartitionFilters: [], PushedFilters: [IsNotNull(product_id), LessThan(product_id,3), IsNotNull(store_id)], ReadSchema: struct<product_id:bigint,store_id:bigint>
+- BroadcastExchange HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [id=#317]
+- *(2) Filter ((isnotnull(product_id#2708L) AND (product_id#2708L < 3)) AND isnotnull(store_id#2709L))
+- *(2) ColumnarToRow
+- FileScan parquet default.product[product_id#2708L,store_id#2709L] Batched: true, DataFilters: [isnotnull(product_id#2708L), (product_id#2708L < 3), isnotnull(store_id#2709L)], Format: Parquet, Location: InMemoryFileIndex[file:/Users/yumwang/spark/SPARK-27227/sql/core/spark-warehouse/org.apache.spark..., PartitionFilters: [], PushedFilters: [IsNotNull(product_id), LessThan(product_id,3), IsNotNull(store_id)], ReadSchema: struct<product_id:bigint,store_id:bigint>
```
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