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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