Skip to content

[SPARK-37527][SQL] Compile COVAR_POP, COVAR_SAMP and CORR in H2Dialet #35145

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
beliefer wants to merge 1 commit into from
Closed

[SPARK-37527][SQL] Compile COVAR_POP, COVAR_SAMP and CORR in H2Dialet #35145

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 12 additions & 0 deletions sql/core/src/main/scala/org/apache/spark/sql/jdbc/H2Dialect.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,18 @@ private object H2Dialect extends JdbcDialect {
assert(f.inputs().length == 1)
val distinct = if (f.isDistinct) "DISTINCT " else ""
Some(s"STDDEV_SAMP($distinct${f.inputs().head})")
case f: GeneralAggregateFunc if f.name() == "COVAR_POP" =>
assert(f.inputs().length == 2)
val distinct = if (f.isDistinct) "DISTINCT " else ""
Some(s"COVAR_POP($distinct${f.inputs().head}, ${f.inputs().last})")
case f: GeneralAggregateFunc if f.name() == "COVAR_SAMP" =>
assert(f.inputs().length == 2)
val distinct = if (f.isDistinct) "DISTINCT " else ""
Some(s"COVAR_SAMP($distinct${f.inputs().head}, ${f.inputs().last})")
case f: GeneralAggregateFunc if f.name() == "CORR" =>
assert(f.inputs().length == 2)
val distinct = if (f.isDistinct) "DISTINCT " else ""
Some(s"CORR($distinct${f.inputs().head}, ${f.inputs().last})")
case _ => None
}
Copy link
Contributor

@cloud-fan cloud-fan Jan 10, 2022

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

do we cover all the aggregate functions (defined by DS v2) in H2 now?

Copy link
Contributor Author

@beliefer beliefer Jan 10, 2022

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

No, H2 support some aggregate functions like regr_*, Spark not support yet.
I want add them in next batch.

)
Expand Down
12 changes: 8 additions & 4 deletions sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -745,11 +745,13 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
val df = sql("select COVAR_POP(bonus, bonus), COVAR_SAMP(bonus, bonus)" +
" FROM h2.test.employee where dept > 0 group by DePt")
checkFiltersRemoved(df)
checkAggregateRemoved(df, false)
checkAggregateRemoved(df)
df.queryExecution.optimizedPlan.collect {
case _: DataSourceV2ScanRelation =>
val expected_plan_fragment =
"PushedFilters: [IsNotNull(DEPT), GreaterThan(DEPT,0)]"
"PushedAggregates: [COVAR_POP(BONUS, BONUS), COVAR_SAMP(BONUS, BONUS)], " +
"PushedFilters: [IsNotNull(DEPT), GreaterThan(DEPT,0)], " +
"PushedGroupByColumns: [DEPT]"
checkKeywordsExistsInExplain(df, expected_plan_fragment)
}
checkAnswer(df, Seq(Row(10000d, 20000d), Row(2500d, 5000d), Row(0d, null)))
Expand All @@ -759,11 +761,13 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
val df = sql("select CORR(bonus, bonus) FROM h2.test.employee where dept > 0" +
" group by DePt")
checkFiltersRemoved(df)
checkAggregateRemoved(df, false)
checkAggregateRemoved(df)
df.queryExecution.optimizedPlan.collect {
case _: DataSourceV2ScanRelation =>
val expected_plan_fragment =
"PushedFilters: [IsNotNull(DEPT), GreaterThan(DEPT,0)]"
"PushedAggregates: [CORR(BONUS, BONUS)], " +
"PushedFilters: [IsNotNull(DEPT), GreaterThan(DEPT,0)], " +
"PushedGroupByColumns: [DEPT]"
checkKeywordsExistsInExplain(df, expected_plan_fragment)
}
checkAnswer(df, Seq(Row(1d), Row(1d), Row(null)))
Expand Down