>>>>> "Andrew" == Andrew Gierth <and...@tao11.riddles.org.uk> writes:

 Andrew> My inclination is to fix this in the planner rather than the
 Andrew> executor; there seems no good reason to actually hash a
 Andrew> duplicate column more than once.

I take this back; I don't believe it's possible to eliminate duplicates
in all cases. Consider (a,b) IN (select c,c from...), where a,b,c are
different types; I don't think we can assume that (a=c) and (b=c)
cross-type comparisons will necessarily induce the same hash function on
c, and so we might legitimately need to keep it duplicated.

So I'm going with a simpler method of ensuring the array is adequately
sized at execution time and not touching the planner at all. Draft patch
is attached, will commit it later.

-- 
Andrew (irc:RhodiumToad)

diff --git a/src/backend/executor/nodeAgg.c b/src/backend/executor/nodeAgg.c
index 5b4a602952..6b8ef40599 100644
--- a/src/backend/executor/nodeAgg.c
+++ b/src/backend/executor/nodeAgg.c
@@ -1312,9 +1312,14 @@ build_hash_table(AggState *aggstate)
  * by themselves, and secondly ctids for row-marks.
  *
  * To eliminate duplicates, we build a bitmapset of the needed columns, and
- * then build an array of the columns included in the hashtable.  Note that
- * the array is preserved over ExecReScanAgg, so we allocate it in the
- * per-query context (unlike the hash table itself).
+ * then build an array of the columns included in the hashtable. We might
+ * still have duplicates if the passed-in grpColIdx has them, which can happen
+ * in edge cases from semijoins/distinct; these can't always be removed,
+ * because it's not certain that the duplicate cols will be using the same
+ * hash function.
+ *
+ * Note that the array is preserved over ExecReScanAgg, so we allocate it in
+ * the per-query context (unlike the hash table itself).
  */
 static void
 find_hash_columns(AggState *aggstate)
@@ -1335,6 +1340,7 @@ find_hash_columns(AggState *aggstate)
 		AttrNumber *grpColIdx = perhash->aggnode->grpColIdx;
 		List	   *hashTlist = NIL;
 		TupleDesc	hashDesc;
+		int			maxCols;
 		int			i;
 
 		perhash->largestGrpColIdx = 0;
@@ -1359,15 +1365,24 @@ find_hash_columns(AggState *aggstate)
 					colnos = bms_del_member(colnos, attnum);
 			}
 		}
-		/* Add in all the grouping columns */
-		for (i = 0; i < perhash->numCols; i++)
-			colnos = bms_add_member(colnos, grpColIdx[i]);
+
+		/*
+		 * Compute maximum number of input columns accounting for possible
+		 * duplications in the grpColIdx array, which can happen in some edge
+		 * cases where HashAggregate was generated as part of a semijoin or a
+		 * DISTINCT.
+		 */
+		maxCols = bms_num_members(colnos) + perhash->numCols;
 
 		perhash->hashGrpColIdxInput =
-			palloc(bms_num_members(colnos) * sizeof(AttrNumber));
+			palloc(maxCols * sizeof(AttrNumber));
 		perhash->hashGrpColIdxHash =
 			palloc(perhash->numCols * sizeof(AttrNumber));
 
+		/* Add all the grouping columns to colnos */
+		for (i = 0; i < perhash->numCols; i++)
+			colnos = bms_add_member(colnos, grpColIdx[i]);
+
 		/*
 		 * First build mapping for columns directly hashed. These are the
 		 * first, because they'll be accessed when computing hash values and
diff --git a/src/test/regress/expected/aggregates.out b/src/test/regress/expected/aggregates.out
index fed69dc9e1..2e5ce8cc32 100644
--- a/src/test/regress/expected/aggregates.out
+++ b/src/test/regress/expected/aggregates.out
@@ -2270,3 +2270,21 @@ select v||'a', case when v||'a' = 'aa' then 1 else 0 end, count(*)
  ba       |    0 |     1
 (2 rows)
 
+-- Make sure that generation of HashAggregate for uniqification purposes
+-- does not lead to array overflow due to unexpected duplicate hash keys
+-- see cafeejokku0u+a_a9r9316djw-yw3-+gtgvy3ju655qrhr3j...@mail.gmail.com
+explain (costs off)
+  select 1 from tenk1
+   where (hundred, thousand) in (select twothousand, twothousand from onek);
+                         QUERY PLAN                          
+-------------------------------------------------------------
+ Hash Join
+   Hash Cond: (tenk1.hundred = onek.twothousand)
+   ->  Seq Scan on tenk1
+         Filter: (hundred = thousand)
+   ->  Hash
+         ->  HashAggregate
+               Group Key: onek.twothousand, onek.twothousand
+               ->  Seq Scan on onek
+(8 rows)
+
diff --git a/src/test/regress/sql/aggregates.sql b/src/test/regress/sql/aggregates.sql
index 230f44666a..ca0d5e66b2 100644
--- a/src/test/regress/sql/aggregates.sql
+++ b/src/test/regress/sql/aggregates.sql
@@ -988,3 +988,10 @@ select v||'a', case v||'a' when 'aa' then 1 else 0 end, count(*)
 select v||'a', case when v||'a' = 'aa' then 1 else 0 end, count(*)
   from unnest(array['a','b']) u(v)
  group by v||'a' order by 1;
+
+-- Make sure that generation of HashAggregate for uniqification purposes
+-- does not lead to array overflow due to unexpected duplicate hash keys
+-- see cafeejokku0u+a_a9r9316djw-yw3-+gtgvy3ju655qrhr3j...@mail.gmail.com
+explain (costs off)
+  select 1 from tenk1
+   where (hundred, thousand) in (select twothousand, twothousand from onek);

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