andygrove commented on code in PR #4587:
URL: https://github.com/apache/datafusion-comet/pull/4587#discussion_r4107051685


##########
spark/src/main/scala/org/apache/spark/sql/comet/operators.scala:
##########
@@ -3003,6 +3024,8 @@ object CometSortMergeJoinExec extends 
CometOperatorSerde[SortMergeJoinExec] {
         case FullOuter => JoinType.FullOuter
         case LeftSemi => JoinType.LeftSemi
         case LeftAnti => JoinType.LeftAnti
+        // Existence SMJ falls back to Spark: DF 55.1.0's BitwiseSortMergeJoin 
buffers output

Review Comment:
   This says existence SMJs fall back, but with 
`spark.comet.exec.forceShuffledHashJoin=true` they don't. `RewriteJoin` turns 
them into a `ShuffledHashJoinExec` with `BuildRight`, which now runs natively. 
I confirmed that with AQE on and off, and the answers matched on a small table. 
`RewriteJoin` skips that rewrite for `LeftSemi` with `BuildRight` because of 
the q69 wrong results in #2667, and #2697 is still open. Should `ExistenceJoin` 
get the same exclusion for now? If you think it's safe, could you add a test 
with that config on?



##########
spark/src/test/resources/sql-tests/join/existence_join.sql:
##########
@@ -0,0 +1,234 @@
+-- Licensed to the Apache Software Foundation (ASF) under one
+-- or more contributor license agreements.  See the NOTICE file
+-- distributed with this work for additional information
+-- regarding copyright ownership.  The ASF licenses this file
+-- to you under the Apache License, Version 2.0 (the
+-- "License"); you may not use this file except in compliance
+-- with the License.  You may obtain a copy of the License at
+--
+--   http://www.apache.org/licenses/LICENSE-2.0
+--
+-- Unless required by applicable law or agreed to in writing,
+-- software distributed under the License is distributed on an
+-- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+-- KIND, either express or implied.  See the License for the
+-- specific language governing permissions and limitations
+-- under the License.
+
+-- Tests for ExistenceJoin: produced when EXISTS / NOT EXISTS is combined
+-- with another predicate via OR, preventing rewrite to LeftSemi / LeftAnti.
+--
+-- Strategy hints are placed INSIDE the EXISTS subquery (on the subquery's own
+-- relation alias), because an outer hint referencing the subquery table cannot
+-- resolve it and silently falls back to a broadcast hash join. Subquery-local
+-- hints (verified on Spark 4.1.3 with AQE off) select ShuffledHashJoin /
+-- SortMergeJoin.
+--
+-- Native existence support is currently hash-only: BROADCAST and SHUFFLE_HASH
+-- cases exercise CometBroadcastHashJoinExec / CometHashJoinExec, while MERGE
+-- cases fall back to Spark's SortMergeJoin (existence SMJ is not yet native) 
and
+-- verify result parity under the Comet-enabled config.
+
+-- Native ExistenceJoin support is experimental and disabled by default.
+-- Config: spark.comet.exec.existenceJoin.enabled=true
+
+-- ============================================================
+-- Setup: NULLs (both sides), duplicates, empty build, all-NULL build
+-- ============================================================
+
+statement
+CREATE TABLE ex_left(id int, k int, region string) USING parquet
+
+statement
+INSERT INTO ex_left VALUES
+  (1, 1, 'US'),
+  (2, 2, 'EU'),
+  (3, NULL, 'US'),
+  (4, 4, 'EU'),
+  (5, 5, 'EU'),
+  (6, NULL, 'EU')
+
+statement
+CREATE TABLE ex_right(id int, k int) USING parquet
+
+statement
+INSERT INTO ex_right VALUES (10, 1), (11, 2), (12, 2), (13, NULL)
+
+statement
+CREATE TABLE ex_right_no_nulls(id int, k int) USING parquet
+
+statement
+INSERT INTO ex_right_no_nulls VALUES (10, 1), (11, 5)
+
+statement
+CREATE TABLE ex_right_empty(id int, k int) USING parquet
+
+statement
+CREATE TABLE ex_right_dups(id int, k int) USING parquet
+
+statement
+INSERT INTO ex_right_dups VALUES (10, 1), (11, 1), (12, 1), (13, 2)
+
+statement
+CREATE TABLE ex_right_all_null(id int, k int) USING parquet
+
+statement
+INSERT INTO ex_right_all_null VALUES (10, NULL), (11, NULL)
+
+statement
+CREATE TABLE ex_left_empty(id int, k int, region string) USING parquet
+
+-- ============================================================
+-- EXISTS with OR across all three strategies (hint in subquery)
+-- ============================================================
+
+query
+SELECT * FROM ex_left l
+WHERE l.region = 'US'
+   OR EXISTS (SELECT /*+ BROADCAST(r) */ 1 FROM ex_right r WHERE r.k = l.k)

Review Comment:
   Every query here reads the marker through `OR`, so rows where the other side 
is true pass whatever the marker says. Could we add cases that select it 
directly, such as `SELECT l.id, EXISTS (SELECT 1 FROM ex_right r WHERE r.k = 
l.k) FROM ex_left l` and the `l.k IN (SELECT r.k ...)` form, plus a string key? 
`IN` has no coverage yet even though the config doc lists it. I ran those 
shapes on BHJ and SHJ with nulls, duplicates and an empty build side, and they 
matched Spark, so this just locks that in.



##########
spark/src/main/scala/org/apache/comet/CometConf.scala:
##########
@@ -235,6 +235,11 @@ object CometConf extends ShimCometConf {
     createExecEnabledConfig("broadcastNestedLoopJoin", defaultValue = true)
   val COMET_EXEC_SORT_MERGE_JOIN_ENABLED: ConfigEntry[Boolean] =
     createExecEnabledConfig("sortMergeJoin", defaultValue = true)
+  val COMET_EXEC_EXISTENCE_JOIN_ENABLED: ConfigEntry[Boolean] =
+    createExecEnabledConfig(
+      "existenceJoin",
+      defaultValue = true,
+      notes = Some("Enables native ExistenceJoin (EXISTS/NOT EXISTS/IN 
combined with OR)."))

Review Comment:
   This renders as "Whether to enable existenceJoin by default. Enables native 
ExistenceJoin (EXISTS/NOT EXISTS/IN combined with OR).." with a double period, 
because `createExecEnabledConfig` adds its own. Now that the flag is on by 
default, could it be a plain `conf(...)` whose doc says what still falls back 
(sort-merge joins, extra join conditions, computed keys, `NOT IN`)? Could the 
joins table in `docs/source/user-guide/latest/operators.md` carry the same note?



##########
spark/src/test/scala/org/apache/comet/exec/CometJoinSuite.scala:
##########
@@ -1572,4 +1572,132 @@ class CometJoinSuite extends CometTestBase {
       }
     }
   }
+
+  test("ExistenceJoin via BroadcastHashJoin (EXISTS combined with OR)") {
+    withSQLConf(
+      CometConf.COMET_EXEC_EXISTENCE_JOIN_ENABLED.key -> "true",
+      SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "10MB",
+      SQLConf.ADAPTIVE_AUTO_BROADCASTJOIN_THRESHOLD.key -> "10MB") {
+      withParquetTable((0 until 100).map(i => (i, if (i % 3 == 0) "US" else 
"EU")), "tbl_a") {
+        withParquetTable((0 until 30).map(i => (i, i + 1)), "tbl_b") {
+          val df = sql("SELECT * FROM tbl_a a " +
+            "WHERE a._2 = 'US' OR EXISTS (SELECT /*+ BROADCAST(b) */ 1 FROM 
tbl_b b WHERE b._1 = a._1)")
+          checkSparkAnswerAndOperator(
+            df,
+            Seq(classOf[CometBroadcastExchangeExec], 
classOf[CometBroadcastHashJoinExec]))
+        }
+      }
+    }
+  }
+
+  test("ExistenceJoin via ShuffledHashJoin (EXISTS combined with OR)") {
+    withSQLConf(
+      CometConf.COMET_EXEC_EXISTENCE_JOIN_ENABLED.key -> "true",
+      SQLConf.PREFER_SORTMERGEJOIN.key -> "false",
+      "spark.sql.join.forceApplyShuffledHashJoin" -> "true",
+      SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1",
+      SQLConf.ADAPTIVE_AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1") {
+      withParquetTable((0 until 100).map(i => (i, if (i % 3 == 0) "US" else 
"EU")), "tbl_a") {
+        withParquetTable((0 until 30).map(i => (i, i + 1)), "tbl_b") {
+          val df = sql(
+            "SELECT * FROM tbl_a a " +
+              "WHERE a._2 = 'US' OR EXISTS (SELECT 1 FROM tbl_b b WHERE b._1 = 
a._1)")
+          checkSparkAnswerAndOperator(df, Seq(classOf[CometHashJoinExec]))
+        }
+      }
+    }
+  }
+
+  test("ExistenceJoin via SortMergeJoin falls back to Spark") {

Review Comment:
   This test and the residual-condition and computed-key tests below only call 
`checkSparkAnswer`, so they pass whether or not Comet falls back. I deleted the 
`condition.isEmpty` and key checks and added an `ExistenceJoin` case to the SMJ 
serde. All three queries then ran natively and every ExistenceJoin test still 
passed. Could they use `checkSparkAnswerAndFallbackReason` instead? It would 
also help if each guard had its own reason. Today the flag being off, a 
residual condition and a computed key all report `Unsupported join type 
ExistenceJoin(exists#N)`, so the tests can't tell which guard fired, and the 
message reads like a permanent limitation to someone looking at their plan.



##########
spark/src/test/resources/sql-tests/join/existence_join.sql:
##########
@@ -0,0 +1,234 @@
+-- Licensed to the Apache Software Foundation (ASF) under one
+-- or more contributor license agreements.  See the NOTICE file
+-- distributed with this work for additional information
+-- regarding copyright ownership.  The ASF licenses this file
+-- to you under the Apache License, Version 2.0 (the
+-- "License"); you may not use this file except in compliance
+-- with the License.  You may obtain a copy of the License at
+--
+--   http://www.apache.org/licenses/LICENSE-2.0
+--
+-- Unless required by applicable law or agreed to in writing,
+-- software distributed under the License is distributed on an
+-- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+-- KIND, either express or implied.  See the License for the
+-- specific language governing permissions and limitations
+-- under the License.
+
+-- Tests for ExistenceJoin: produced when EXISTS / NOT EXISTS is combined
+-- with another predicate via OR, preventing rewrite to LeftSemi / LeftAnti.
+--
+-- Strategy hints are placed INSIDE the EXISTS subquery (on the subquery's own
+-- relation alias), because an outer hint referencing the subquery table cannot
+-- resolve it and silently falls back to a broadcast hash join. Subquery-local
+-- hints (verified on Spark 4.1.3 with AQE off) select ShuffledHashJoin /
+-- SortMergeJoin.
+--
+-- Native existence support is currently hash-only: BROADCAST and SHUFFLE_HASH
+-- cases exercise CometBroadcastHashJoinExec / CometHashJoinExec, while MERGE
+-- cases fall back to Spark's SortMergeJoin (existence SMJ is not yet native) 
and
+-- verify result parity under the Comet-enabled config.
+
+-- Native ExistenceJoin support is experimental and disabled by default.
+-- Config: spark.comet.exec.existenceJoin.enabled=true
+
+-- ============================================================
+-- Setup: NULLs (both sides), duplicates, empty build, all-NULL build
+-- ============================================================
+
+statement
+CREATE TABLE ex_left(id int, k int, region string) USING parquet
+
+statement
+INSERT INTO ex_left VALUES
+  (1, 1, 'US'),
+  (2, 2, 'EU'),
+  (3, NULL, 'US'),
+  (4, 4, 'EU'),
+  (5, 5, 'EU'),
+  (6, NULL, 'EU')
+
+statement
+CREATE TABLE ex_right(id int, k int) USING parquet
+
+statement
+INSERT INTO ex_right VALUES (10, 1), (11, 2), (12, 2), (13, NULL)
+
+statement
+CREATE TABLE ex_right_no_nulls(id int, k int) USING parquet
+
+statement
+INSERT INTO ex_right_no_nulls VALUES (10, 1), (11, 5)
+
+statement
+CREATE TABLE ex_right_empty(id int, k int) USING parquet
+
+statement
+CREATE TABLE ex_right_dups(id int, k int) USING parquet
+
+statement
+INSERT INTO ex_right_dups VALUES (10, 1), (11, 1), (12, 1), (13, 2)
+
+statement
+CREATE TABLE ex_right_all_null(id int, k int) USING parquet
+
+statement
+INSERT INTO ex_right_all_null VALUES (10, NULL), (11, NULL)
+
+statement
+CREATE TABLE ex_left_empty(id int, k int, region string) USING parquet
+
+-- ============================================================
+-- EXISTS with OR across all three strategies (hint in subquery)
+-- ============================================================
+
+query
+SELECT * FROM ex_left l
+WHERE l.region = 'US'
+   OR EXISTS (SELECT /*+ BROADCAST(r) */ 1 FROM ex_right r WHERE r.k = l.k)
+ORDER BY l.id
+
+query
+SELECT * FROM ex_left l
+WHERE l.region = 'US'
+   OR EXISTS (SELECT /*+ SHUFFLE_HASH(r) */ 1 FROM ex_right r WHERE r.k = l.k)
+ORDER BY l.id
+
+query

Review Comment:
   Confirmed locally. With the four `MERGE` cases switched to `query 
expect_fallback(Unsupported join type)`, the rest of the file passes.



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