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Ohad Raviv commented on SPARK-23985: ------------------------------------ the same is true for Spark 2.4: {code} sparkSession.range(10).selectExpr("cast(id as string) as a", "id as b", "id").write.saveAsTable("t1") val w = sparkSession.sql( "select *, row_number() over (partition by concat(a,'lit') order by b) from t1 where a>'1'") w.explain val windowSpec = Window.partitionBy(concat(col("a"), lit("lit"))).orderBy("b") sparkSession.table("t1").withColumn("d", row_number() over windowSpec) .where("a>'1'") .explain {code} plans: {code} == Physical Plan == *(3) Project [a#11, b#12L, id#13L, row_number() OVER (PARTITION BY concat(a, lit) ORDER BY b ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)#22] +- Window [row_number() windowspecdefinition(_w0#23, b#12L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS row_number() OVER (PARTITION BY concat(a, lit) ORDER BY b ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)#22], [_w0#23], [b#12L ASC NULLS FIRST] +- *(2) Sort [_w0#23 ASC NULLS FIRST, b#12L ASC NULLS FIRST], false, 0 +- Exchange hashpartitioning(_w0#23, 1) +- *(1) Project [a#11, b#12L, id#13L, concat(a#11, lit) AS _w0#23] +- *(1) Filter (isnotnull(a#11) && (a#11 > 1)) +- *(1) FileScan parquet default.t1[a#11,b#12L,id#13L] Batched: true, Format: Parquet, Location: InMemoryFileIndex[file:../catalyst/spark-warehouse/t1], PartitionFilters: [], PushedFilters: [IsNotNull(a), GreaterThan(a,1)], ReadSchema: struct<a:string,b:bigint,id:bigint> == Physical Plan == *(3) Project [a#11, b#12L, id#13L, d#28] +- *(3) Filter (isnotnull(a#11) && (a#11 > 1)) +- Window [row_number() windowspecdefinition(_w0#29, b#12L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS d#28], [_w0#29], [b#12L ASC NULLS FIRST] +- *(2) Sort [_w0#29 ASC NULLS FIRST, b#12L ASC NULLS FIRST], false, 0 +- Exchange hashpartitioning(_w0#29, 1) +- *(1) Project [a#11, b#12L, id#13L, concat(a#11, lit) AS _w0#29] +- *(1) FileScan parquet default.t1[a#11,b#12L,id#13L] Batched: true, Format: Parquet, Location: InMemoryFileIndex[file:../catalyst/spark-warehouse/t1], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<a:string,b:bigint,id:bigint> {code} > predicate push down doesn't work with simple compound partition spec > -------------------------------------------------------------------- > > Key: SPARK-23985 > URL: https://issues.apache.org/jira/browse/SPARK-23985 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 2.4.0 > Reporter: Ohad Raviv > Priority: Minor > > while predicate push down works with this query: > {code:sql} > select *, row_number() over (partition by a order by b) from t1 where a>1 > {code} > it dowsn't work with: > {code:sql} > select *, row_number() over (partition by concat(a,'lit') order by b) from t1 > where a>1 > {code} > > I added a test to FilterPushdownSuite which I think recreates the problem: > {code:scala} > test("Window: predicate push down -- ohad") { > val winExpr = windowExpr(count('b), > windowSpec(Concat('a :: Nil) :: Nil, 'b.asc :: Nil, UnspecifiedFrame)) > val originalQuery = testRelation.select('a, 'b, 'c, > winExpr.as('window)).where('a > 1) > val correctAnswer = testRelation > .where('a > 1).select('a, 'b, 'c) > .window(winExpr.as('window) :: Nil, 'a :: Nil, 'b.asc :: Nil) > .select('a, 'b, 'c, 'window).analyze > comparePlans(Optimize.execute(originalQuery.analyze), correctAnswer) > } > {code} > will try to create a PR with a correction -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org