[
https://issues.apache.org/jira/browse/SPARK-38041?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jackey Lee updated SPARK-38041:
-------------------------------
Description:
At present, the Filter is divided into DataFilter and PartitionFilter when it
is pushed down, but when the Filter removes the PartitionFilter, it means that
all Partitions will scan all DataFilter conditions, which may cause full data
scan.
Here is a example.
before
{code:java}
== Physical Plan ==
*(1) Filter (((a#40L < 10) AND (c#42 = 0)) OR (((a#40L >= 10) AND (c#42 >= 1))
AND (c#42 < 3)))
+- *(1) ColumnarToRow
+- BatchScan[a#40L, b#41L, c#42, d#43] ParquetScan DataFilters: [(((a#40L <
10) AND (c#42 = 0)) OR (((a#40L >= 10) AND (c#42 >= 1)) AND (c#42 < 3)))],
Format: parquet, Location: InMemoryFileIndex(1 paths)[path, PartitionFilters:
[((c#42 = 0) OR ((c#42 >= 1) AND (c#42 < 3)))], PushedAggregation: [],
PushedFilters: [Or(LessThan(a,10),GreaterThanOrEqual(a,10))], PushedGroupBy:
[], ReadSchema: struct<a:bigint,b:bigint>, PushedFilters:
[Or(LessThan(a,10),GreaterThanOrEqual(a,10))], PushedAggregation: [],
PushedGroupBy: [] RuntimeFilters: []
{code}
after
{code:java}
== Physical Plan ==
*(1) Filter (((a#40L < 10) AND (c#42 = 0)) OR (((a#40L >= 10) AND (c#42 >= 1))
AND (c#42 < 3)))
+- *(1) ColumnarToRow
+- BatchScan[a#40L, b#41L, c#42, d#43] ParquetScan DataFilters: [(((a#40L <
10) AND (c#42 = 0)) OR (((a#40L >= 10) AND (c#42 >= 1)) AND (c#42 < 3)))],
Format: parquet, Location: InMemoryFileIndex(1 paths)[path, PartitionFilters:
[((c#42 = 0) OR ((c#42 >= 1) AND (c#42 < 3)))], PushedAggregation: [],
PushedFilters:
[Or(And(LessThan(a,10),EqualTo(c,0)),And(And(GreaterThanOrEqual(a,10),GreaterThanOrEqual(c,1)),Le...,
PushedGroupBy: [], ReadSchema: struct<a:bigint,b:bigint>, PushedFilters:
[Or(And(LessThan(a,10),EqualTo(c,0)),And(And(GreaterThanOrEqual(a,10),GreaterThanOrEqual(c,1)),LessThan(c,3)))],
PushedAggregation: [], PushedGroupBy: [] RuntimeFilters: [] {code}
was:
At present, the Filter is divided into DataFilter and PartitionFilter when it
is pushed down, but when the Filter removes the PartitionFilter, it means that
all Partitions will scan all DataFilter conditions, which may cause full data
scan.
Here is a example.
before
{code:java}
== Physical Plan ==
*(1) Filter (((a#0 < 10) AND (c#2 = 0)) OR (((a#0 >= 10) AND (c#2 >= 1)) AND
(c#2 < 3)))
+- *(1) ColumnarToRow
+- FileScan parquet datasources.test_push_down[a#0,b#1,c#2] Batched: true,
DataFilters: [((a#0 < 10) OR (a#0 >= 10))], Format: Parquet, Location:
InMemoryFileIndex(0 paths)[], PartitionFilters: [((c#2 = 0) OR ((c#2 >= 1) AND
(c#2 < 3)))], PushedFilters: [Or(LessThan(a,10),GreaterThanOrEqual(a,10))],
ReadSchema: struct<a:int,b:int> {code}
after
{code:java}
== Physical Plan ==
*(1) Filter (((a#0 < 10) AND (c#2 = 0)) OR (((a#0 >= 10) AND (c#2 >= 1)) AND
(c#2 < 3)))
+- *(1) ColumnarToRow
+- FileScan parquet datasources.test_push_down[a#0,b#1,c#2] Batched: true,
DataFilters: [(((a#0 < 10) AND (c#2 = 0)) OR (((a#0 >= 10) AND (c#2 >= 1)) AND
(c#2 < 3)))], Format: Parquet, Location: InMemoryFileIndex(0 paths)[],
PartitionFilters: [((c#2 = 0) OR ((c#2 >= 1) AND (c#2 < 3)))], PushedFilters:
[Or(LessThan(a,10),GreaterThanOrEqual(a,10))], ReadSchema: struct<a:int,b:int>
{code}
> DataFilter pushed down with PartitionFilter
> -------------------------------------------
>
> Key: SPARK-38041
> URL: https://issues.apache.org/jira/browse/SPARK-38041
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Jackey Lee
> Priority: Major
>
> At present, the Filter is divided into DataFilter and PartitionFilter when it
> is pushed down, but when the Filter removes the PartitionFilter, it means
> that all Partitions will scan all DataFilter conditions, which may cause full
> data scan.
> Here is a example.
> before
> {code:java}
> == Physical Plan ==
> *(1) Filter (((a#40L < 10) AND (c#42 = 0)) OR (((a#40L >= 10) AND (c#42 >=
> 1)) AND (c#42 < 3)))
> +- *(1) ColumnarToRow
> +- BatchScan[a#40L, b#41L, c#42, d#43] ParquetScan DataFilters: [(((a#40L
> < 10) AND (c#42 = 0)) OR (((a#40L >= 10) AND (c#42 >= 1)) AND (c#42 < 3)))],
> Format: parquet, Location: InMemoryFileIndex(1 paths)[path, PartitionFilters:
> [((c#42 = 0) OR ((c#42 >= 1) AND (c#42 < 3)))], PushedAggregation: [],
> PushedFilters: [Or(LessThan(a,10),GreaterThanOrEqual(a,10))], PushedGroupBy:
> [], ReadSchema: struct<a:bigint,b:bigint>, PushedFilters:
> [Or(LessThan(a,10),GreaterThanOrEqual(a,10))], PushedAggregation: [],
> PushedGroupBy: [] RuntimeFilters: []
> {code}
> after
> {code:java}
> == Physical Plan ==
> *(1) Filter (((a#40L < 10) AND (c#42 = 0)) OR (((a#40L >= 10) AND (c#42 >=
> 1)) AND (c#42 < 3)))
> +- *(1) ColumnarToRow
> +- BatchScan[a#40L, b#41L, c#42, d#43] ParquetScan DataFilters: [(((a#40L
> < 10) AND (c#42 = 0)) OR (((a#40L >= 10) AND (c#42 >= 1)) AND (c#42 < 3)))],
> Format: parquet, Location: InMemoryFileIndex(1 paths)[path, PartitionFilters:
> [((c#42 = 0) OR ((c#42 >= 1) AND (c#42 < 3)))], PushedAggregation: [],
> PushedFilters:
> [Or(And(LessThan(a,10),EqualTo(c,0)),And(And(GreaterThanOrEqual(a,10),GreaterThanOrEqual(c,1)),Le...,
> PushedGroupBy: [], ReadSchema: struct<a:bigint,b:bigint>, PushedFilters:
> [Or(And(LessThan(a,10),EqualTo(c,0)),And(And(GreaterThanOrEqual(a,10),GreaterThanOrEqual(c,1)),LessThan(c,3)))],
> PushedAggregation: [], PushedGroupBy: [] RuntimeFilters: [] {code}
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