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From: Jeff Davis <pgsql@j-davis.com>
To: Tomas Vondra <tomas.vondra@2ndquadrant.com>
Cc: Melanie Plageman <melanieplageman@gmail.com>
Cc: Heikki Linnakangas <hlinnaka@iki.fi>
Cc: Taylor Vesely <tvesely@pivotal.io>
Cc: Adam Lee <ali@pivotal.io>
Cc: Melanie Plageman <mplageman@pivotal.io>
Cc: Pg Hackers <pgsql-hackers@postgresql.org>
Subject: Re: Memory-Bounded Hash Aggregation
Date: Thu, 20 Feb 2020 16:56:38 -0800
Message-ID: <732b17848c2333e50f146e656a9c4f75ff818f05.camel@j-davis.com> (raw)
In-Reply-To: <20200219191636.gvdywx32kwbix6kd@development>
References: <617fea8258ba3df7bc8b21cd7f3afc219f2383d9.camel@j-davis.com>
	<20190802152123.ichmacgx3y3x7dc3@development>
	<CAFaX_4Ls5UGQ2UDYkWhn2xFq=V6BKpUbKSQnWmy27VWhQ2=enA@mail.gmail.com>
	<e52707d4665e32867fb6dd181825ef15f853b8bf.camel@j-davis.com>
	<20191214173225.3kzsbncr6brpxdll@development>
	<d72e494db7b075ef02c3163e6614e698701d2c3e.camel@j-davis.com>
	<775d754c-9a61-5363-6998-f87d15f1b592@iki.fi>
	<CAAKRu_aefEsv+UkQWqu+ioEnoiL2LJu9Diuh9BR8MbyXuZ0j4A@mail.gmail.com>
	<20200218185749.srk733n4z57lzxf2@development>
	<7612ea4d636b6341d0606f4e852d584798e04901.camel@j-davis.com>
	<20200219191636.gvdywx32kwbix6kd@development>

On Wed, 2020-02-19 at 20:16 +0100, Tomas Vondra wrote:
> 1) explain.c currently does this:
> 
> I wonder if we could show something for plain explain (without
> analyze).
> At least the initial estimate of partitions, etc. I know not showing
> those details until after execution is what e.g. sort does, but I
> find
> it a bit annoying.

Looks like you meant to include some example explain output, but I
think I understand what you mean. I'll look into it.

> 2) The ExecBuildAggTrans comment should probably explain "spilled".

Done.

> 3) I wonder if we need to invent new opcodes? Wouldn't it be simpler
> to
> just add a new flag to the agg_* structs instead? I haven't tried
> hacking
> this, so maybe it's a silly idea.

There was a reason I didn't do it this way, but I'm trying to remember
why. I'll look into this, also.

> 4) lookup_hash_entries says
> 
>    /* check to see if we need to spill the tuple for this grouping
> set */
> 
> But that seems bogus, because AFAIK we can't spill tuples for
> grouping
> sets. So maybe this should say just "grouping"?

Yes, we can spill tuples for grouping sets. Unfortunately, I think my
tests (which covered this case previously) don't seem to be exercising
that path well now. I am going to improve my tests, too.

> 5) Assert(nbuckets > 0);

I did not repro this issue, but I did set a floor of 256 buckets.

> which fails with segfault at execution time:

Fixed. I was resetting the hash table context without setting the
pointers to NULL.

Thanks! I attached a new, rebased version. The fixes are quick fixes
for now and I will revisit them after I improve my test cases (which
might find more issues).

Regards,
	Jeff Davis

Attachments:

hashagg-20200220.patch (text/x-patch, 104.4K) download
diff --git a/doc/src/sgml/config.sgml b/doc/src/sgml/config.sgml
index c1128f89ec7..85f559387f9 100644
--- a/doc/src/sgml/config.sgml
+++ b/doc/src/sgml/config.sgml
@@ -1751,6 +1751,23 @@ include_dir 'conf.d'
       </listitem>
      </varlistentry>
 
+     <varlistentry id="guc-hashagg-mem-overflow" xreflabel="hashagg_mem_overflow">
+      <term><varname>hashagg_mem_overflow</varname> (<type>boolean</type>)
+      <indexterm>
+       <primary><varname>hashagg_mem_overflow</varname> configuration parameter</primary>
+      </indexterm>
+      </term>
+      <listitem>
+       <para>
+         If hash aggregation exceeds <varname>work_mem</varname> at query
+         execution time, and <varname>hashagg_mem_overflow</varname> is set
+         to <literal>on</literal>, continue consuming more memory rather than
+         performing disk-based hash aggregation. The default
+         is <literal>off</literal>.
+       </para>
+      </listitem>
+     </varlistentry>
+
      <varlistentry id="guc-max-stack-depth" xreflabel="max_stack_depth">
       <term><varname>max_stack_depth</varname> (<type>integer</type>)
       <indexterm>
@@ -4476,6 +4493,24 @@ ANY <replaceable class="parameter">num_sync</replaceable> ( <replaceable class="
       </listitem>
      </varlistentry>
 
+     <varlistentry id="guc-enable-hashagg-spill" xreflabel="enable_hashagg_spill">
+      <term><varname>enable_hashagg_spill</varname> (<type>boolean</type>)
+      <indexterm>
+       <primary><varname>enable_hashagg_spill</varname> configuration parameter</primary>
+      </indexterm>
+      </term>
+      <listitem>
+       <para>
+        Enables or disables the query planner's use of hashed aggregation plan
+        types when the memory usage is expected to
+        exceed <varname>work_mem</varname>. This only affects the planner
+        choice; actual behavior at execution time is dictated by
+        <xref linkend="guc-hashagg-mem-overflow"/>. The default
+        is <literal>on</literal>.
+       </para>
+      </listitem>
+     </varlistentry>
+
      <varlistentry id="guc-enable-hashjoin" xreflabel="enable_hashjoin">
       <term><varname>enable_hashjoin</varname> (<type>boolean</type>)
       <indexterm>
diff --git a/src/backend/commands/explain.c b/src/backend/commands/explain.c
index d901dc4a50e..2923f4ba46d 100644
--- a/src/backend/commands/explain.c
+++ b/src/backend/commands/explain.c
@@ -104,6 +104,7 @@ static void show_tablesample(TableSampleClause *tsc, PlanState *planstate,
 							 List *ancestors, ExplainState *es);
 static void show_sort_info(SortState *sortstate, ExplainState *es);
 static void show_hash_info(HashState *hashstate, ExplainState *es);
+static void show_hashagg_info(AggState *hashstate, ExplainState *es);
 static void show_tidbitmap_info(BitmapHeapScanState *planstate,
 								ExplainState *es);
 static void show_instrumentation_count(const char *qlabel, int which,
@@ -1882,6 +1883,8 @@ ExplainNode(PlanState *planstate, List *ancestors,
 		case T_Agg:
 			show_agg_keys(castNode(AggState, planstate), ancestors, es);
 			show_upper_qual(plan->qual, "Filter", planstate, ancestors, es);
+			if (es->analyze)
+				show_hashagg_info((AggState *) planstate, es);
 			if (plan->qual)
 				show_instrumentation_count("Rows Removed by Filter", 1,
 										   planstate, es);
@@ -2769,6 +2772,55 @@ show_hash_info(HashState *hashstate, ExplainState *es)
 	}
 }
 
+/*
+ * If EXPLAIN ANALYZE, show information on hash aggregate memory usage and
+ * batches.
+ */
+static void
+show_hashagg_info(AggState *aggstate, ExplainState *es)
+{
+	Agg		*agg	   = (Agg *)aggstate->ss.ps.plan;
+	long	 memPeakKb = (aggstate->hash_mem_peak + 1023) / 1024;
+
+	Assert(IsA(aggstate, AggState));
+
+	if (agg->aggstrategy != AGG_HASHED &&
+		agg->aggstrategy != AGG_MIXED)
+		return;
+
+	if (es->format == EXPLAIN_FORMAT_TEXT)
+	{
+		appendStringInfoSpaces(es->str, es->indent * 2);
+		appendStringInfo(
+			es->str,
+			"Memory Usage: %ldkB",
+			memPeakKb);
+
+		if (aggstate->hash_batches_used > 0)
+		{
+			appendStringInfo(
+				es->str,
+				"  Batches: %d  Disk: %ldkB",
+				aggstate->hash_batches_used, aggstate->hash_disk_used);
+		}
+
+		appendStringInfo(
+			es->str,
+			"\n");
+	}
+	else
+	{
+		ExplainPropertyInteger("Peak Memory Usage", "kB", memPeakKb, es);
+		if (aggstate->hash_batches_used > 0)
+		{
+			ExplainPropertyInteger("HashAgg Batches", NULL,
+								   aggstate->hash_batches_used, es);
+			ExplainPropertyInteger("Disk Usage", "kB",
+								   aggstate->hash_disk_used, es);
+		}
+	}
+}
+
 /*
  * If it's EXPLAIN ANALYZE, show exact/lossy pages for a BitmapHeapScan node
  */
diff --git a/src/backend/executor/execExpr.c b/src/backend/executor/execExpr.c
index 121eff97a0c..5236d6f3935 100644
--- a/src/backend/executor/execExpr.c
+++ b/src/backend/executor/execExpr.c
@@ -79,7 +79,8 @@ static void ExecInitCoerceToDomain(ExprEvalStep *scratch, CoerceToDomain *ctest,
 static void ExecBuildAggTransCall(ExprState *state, AggState *aggstate,
 								  ExprEvalStep *scratch,
 								  FunctionCallInfo fcinfo, AggStatePerTrans pertrans,
-								  int transno, int setno, int setoff, bool ishash);
+								  int transno, int setno, int setoff, bool ishash,
+								  bool spilled);
 
 
 /*
@@ -2924,10 +2925,13 @@ ExecInitCoerceToDomain(ExprEvalStep *scratch, CoerceToDomain *ctest,
  * check for filters, evaluate aggregate input, check that that input is not
  * NULL for a strict transition function, and then finally invoke the
  * transition for each of the concurrently computed grouping sets.
+ *
+ * If "spilled" is true, the generated code will take into account the
+ * possibility that a Hash Aggregation has spilled to disk.
  */
 ExprState *
 ExecBuildAggTrans(AggState *aggstate, AggStatePerPhase phase,
-				  bool doSort, bool doHash)
+				  bool doSort, bool doHash, bool spilled)
 {
 	ExprState  *state = makeNode(ExprState);
 	PlanState  *parent = &aggstate->ss.ps;
@@ -3158,7 +3162,8 @@ ExecBuildAggTrans(AggState *aggstate, AggStatePerPhase phase,
 			for (int setno = 0; setno < processGroupingSets; setno++)
 			{
 				ExecBuildAggTransCall(state, aggstate, &scratch, trans_fcinfo,
-									  pertrans, transno, setno, setoff, false);
+									  pertrans, transno, setno, setoff, false,
+									  spilled);
 				setoff++;
 			}
 		}
@@ -3177,7 +3182,8 @@ ExecBuildAggTrans(AggState *aggstate, AggStatePerPhase phase,
 			for (int setno = 0; setno < numHashes; setno++)
 			{
 				ExecBuildAggTransCall(state, aggstate, &scratch, trans_fcinfo,
-									  pertrans, transno, setno, setoff, true);
+									  pertrans, transno, setno, setoff, true,
+									  spilled);
 				setoff++;
 			}
 		}
@@ -3227,7 +3233,8 @@ static void
 ExecBuildAggTransCall(ExprState *state, AggState *aggstate,
 					  ExprEvalStep *scratch,
 					  FunctionCallInfo fcinfo, AggStatePerTrans pertrans,
-					  int transno, int setno, int setoff, bool ishash)
+					  int transno, int setno, int setoff, bool ishash,
+					  bool spilled)
 {
 	int			adjust_init_jumpnull = -1;
 	int			adjust_strict_jumpnull = -1;
@@ -3249,7 +3256,8 @@ ExecBuildAggTransCall(ExprState *state, AggState *aggstate,
 		fcinfo->flinfo->fn_strict &&
 		pertrans->initValueIsNull)
 	{
-		scratch->opcode = EEOP_AGG_INIT_TRANS;
+		scratch->opcode = spilled ?
+			EEOP_AGG_INIT_TRANS_SPILLED : EEOP_AGG_INIT_TRANS;
 		scratch->d.agg_init_trans.pertrans = pertrans;
 		scratch->d.agg_init_trans.setno = setno;
 		scratch->d.agg_init_trans.setoff = setoff;
@@ -3265,7 +3273,8 @@ ExecBuildAggTransCall(ExprState *state, AggState *aggstate,
 	if (pertrans->numSortCols == 0 &&
 		fcinfo->flinfo->fn_strict)
 	{
-		scratch->opcode = EEOP_AGG_STRICT_TRANS_CHECK;
+		scratch->opcode = spilled ?
+			EEOP_AGG_STRICT_TRANS_CHECK_SPILLED : EEOP_AGG_STRICT_TRANS_CHECK;
 		scratch->d.agg_strict_trans_check.setno = setno;
 		scratch->d.agg_strict_trans_check.setoff = setoff;
 		scratch->d.agg_strict_trans_check.transno = transno;
@@ -3282,9 +3291,11 @@ ExecBuildAggTransCall(ExprState *state, AggState *aggstate,
 
 	/* invoke appropriate transition implementation */
 	if (pertrans->numSortCols == 0 && pertrans->transtypeByVal)
-		scratch->opcode = EEOP_AGG_PLAIN_TRANS_BYVAL;
+		scratch->opcode = spilled ?
+			EEOP_AGG_PLAIN_TRANS_BYVAL_SPILLED : EEOP_AGG_PLAIN_TRANS_BYVAL;
 	else if (pertrans->numSortCols == 0)
-		scratch->opcode = EEOP_AGG_PLAIN_TRANS;
+		scratch->opcode = spilled ?
+			EEOP_AGG_PLAIN_TRANS_SPILLED : EEOP_AGG_PLAIN_TRANS;
 	else if (pertrans->numInputs == 1)
 		scratch->opcode = EEOP_AGG_ORDERED_TRANS_DATUM;
 	else
diff --git a/src/backend/executor/execExprInterp.c b/src/backend/executor/execExprInterp.c
index 35eb8b99f69..e21e0c440ea 100644
--- a/src/backend/executor/execExprInterp.c
+++ b/src/backend/executor/execExprInterp.c
@@ -426,9 +426,13 @@ ExecInterpExpr(ExprState *state, ExprContext *econtext, bool *isnull)
 		&&CASE_EEOP_AGG_STRICT_INPUT_CHECK_ARGS,
 		&&CASE_EEOP_AGG_STRICT_INPUT_CHECK_NULLS,
 		&&CASE_EEOP_AGG_INIT_TRANS,
+		&&CASE_EEOP_AGG_INIT_TRANS_SPILLED,
 		&&CASE_EEOP_AGG_STRICT_TRANS_CHECK,
+		&&CASE_EEOP_AGG_STRICT_TRANS_CHECK_SPILLED,
 		&&CASE_EEOP_AGG_PLAIN_TRANS_BYVAL,
+		&&CASE_EEOP_AGG_PLAIN_TRANS_BYVAL_SPILLED,
 		&&CASE_EEOP_AGG_PLAIN_TRANS,
+		&&CASE_EEOP_AGG_PLAIN_TRANS_SPILLED,
 		&&CASE_EEOP_AGG_ORDERED_TRANS_DATUM,
 		&&CASE_EEOP_AGG_ORDERED_TRANS_TUPLE,
 		&&CASE_EEOP_LAST
@@ -1619,6 +1623,35 @@ ExecInterpExpr(ExprState *state, ExprContext *econtext, bool *isnull)
 
 			EEO_NEXT();
 		}
+		EEO_CASE(EEOP_AGG_INIT_TRANS_SPILLED)
+		{
+			AggState   *aggstate = castNode(AggState, state->parent);
+			AggStatePerGroup pergroup;
+			AggStatePerGroup pergroup_allaggs;
+
+			pergroup_allaggs = aggstate->all_pergroups[op->d.agg_init_trans.setoff];
+
+			if (pergroup_allaggs == NULL)
+				EEO_NEXT();
+
+			pergroup = &pergroup_allaggs[op->d.agg_init_trans.transno];
+
+			/* If transValue has not yet been initialized, do so now. */
+			if (pergroup->noTransValue)
+			{
+				AggStatePerTrans pertrans = op->d.agg_init_trans.pertrans;
+
+				aggstate->curaggcontext = op->d.agg_init_trans.aggcontext;
+				aggstate->current_set = op->d.agg_init_trans.setno;
+
+				ExecAggInitGroup(aggstate, pertrans, pergroup);
+
+				/* copied trans value from input, done this round */
+				EEO_JUMP(op->d.agg_init_trans.jumpnull);
+			}
+
+			EEO_NEXT();
+		}
 
 		/* check that a strict aggregate's input isn't NULL */
 		EEO_CASE(EEOP_AGG_STRICT_TRANS_CHECK)
@@ -1635,6 +1668,24 @@ ExecInterpExpr(ExprState *state, ExprContext *econtext, bool *isnull)
 
 			EEO_NEXT();
 		}
+		EEO_CASE(EEOP_AGG_STRICT_TRANS_CHECK_SPILLED)
+		{
+			AggState   *aggstate = castNode(AggState, state->parent);
+			AggStatePerGroup pergroup;
+			AggStatePerGroup pergroup_allaggs;
+
+			pergroup_allaggs = aggstate->all_pergroups[op->d.agg_strict_trans_check.setoff];
+
+			if (pergroup_allaggs == NULL)
+				EEO_NEXT();
+
+			pergroup = &pergroup_allaggs[op->d.agg_strict_trans_check.transno];
+
+			if (unlikely(pergroup->transValueIsNull))
+				EEO_JUMP(op->d.agg_strict_trans_check.jumpnull);
+
+			EEO_NEXT();
+		}
 
 		/*
 		 * Evaluate aggregate transition / combine function that has a
@@ -1683,6 +1734,51 @@ ExecInterpExpr(ExprState *state, ExprContext *econtext, bool *isnull)
 
 			EEO_NEXT();
 		}
+		EEO_CASE(EEOP_AGG_PLAIN_TRANS_BYVAL_SPILLED)
+		{
+			AggState   *aggstate = castNode(AggState, state->parent);
+			AggStatePerTrans pertrans;
+			AggStatePerGroup pergroup;
+			AggStatePerGroup pergroup_allaggs;
+			FunctionCallInfo fcinfo;
+			MemoryContext oldContext;
+			Datum		newVal;
+
+			pertrans = op->d.agg_trans.pertrans;
+
+			pergroup_allaggs = aggstate->all_pergroups[op->d.agg_trans.setoff];
+			pergroup = &pergroup_allaggs[op->d.agg_trans.transno];
+
+			if (pergroup_allaggs == NULL)
+				EEO_NEXT();
+
+			Assert(pertrans->transtypeByVal);
+
+			fcinfo = pertrans->transfn_fcinfo;
+
+			/* cf. select_current_set() */
+			aggstate->curaggcontext = op->d.agg_trans.aggcontext;
+			aggstate->current_set = op->d.agg_trans.setno;
+
+			/* set up aggstate->curpertrans for AggGetAggref() */
+			aggstate->curpertrans = pertrans;
+
+			/* invoke transition function in per-tuple context */
+			oldContext = MemoryContextSwitchTo(aggstate->tmpcontext->ecxt_per_tuple_memory);
+
+			fcinfo->args[0].value = pergroup->transValue;
+			fcinfo->args[0].isnull = pergroup->transValueIsNull;
+			fcinfo->isnull = false; /* just in case transfn doesn't set it */
+
+			newVal = FunctionCallInvoke(fcinfo);
+
+			pergroup->transValue = newVal;
+			pergroup->transValueIsNull = fcinfo->isnull;
+
+			MemoryContextSwitchTo(oldContext);
+
+			EEO_NEXT();
+		}
 
 		/*
 		 * Evaluate aggregate transition / combine function that has a
@@ -1726,6 +1822,66 @@ ExecInterpExpr(ExprState *state, ExprContext *econtext, bool *isnull)
 
 			newVal = FunctionCallInvoke(fcinfo);
 
+			/*
+			 * For pass-by-ref datatype, must copy the new value into
+			 * aggcontext and free the prior transValue.  But if transfn
+			 * returned a pointer to its first input, we don't need to do
+			 * anything.  Also, if transfn returned a pointer to a R/W
+			 * expanded object that is already a child of the aggcontext,
+			 * assume we can adopt that value without copying it.
+			 */
+			if (DatumGetPointer(newVal) != DatumGetPointer(pergroup->transValue))
+				newVal = ExecAggTransReparent(aggstate, pertrans,
+											  newVal, fcinfo->isnull,
+											  pergroup->transValue,
+											  pergroup->transValueIsNull);
+
+			pergroup->transValue = newVal;
+			pergroup->transValueIsNull = fcinfo->isnull;
+
+			MemoryContextSwitchTo(oldContext);
+
+			EEO_NEXT();
+		}
+		EEO_CASE(EEOP_AGG_PLAIN_TRANS_SPILLED)
+		{
+			AggState   *aggstate = castNode(AggState, state->parent);
+			AggStatePerTrans pertrans;
+			AggStatePerGroup pergroup;
+			AggStatePerGroup pergroup_allaggs;
+			FunctionCallInfo fcinfo;
+			MemoryContext oldContext;
+			Datum		newVal;
+
+			pertrans = op->d.agg_trans.pertrans;
+
+			pergroup_allaggs = aggstate->all_pergroups[op->d.agg_trans.setoff];
+
+			if (pergroup_allaggs == NULL)
+				EEO_NEXT();
+
+			pergroup = &pergroup_allaggs[op->d.agg_trans.transno];
+
+			Assert(!pertrans->transtypeByVal);
+
+			fcinfo = pertrans->transfn_fcinfo;
+
+			/* cf. select_current_set() */
+			aggstate->curaggcontext = op->d.agg_trans.aggcontext;
+			aggstate->current_set = op->d.agg_trans.setno;
+
+			/* set up aggstate->curpertrans for AggGetAggref() */
+			aggstate->curpertrans = pertrans;
+
+			/* invoke transition function in per-tuple context */
+			oldContext = MemoryContextSwitchTo(aggstate->tmpcontext->ecxt_per_tuple_memory);
+
+			fcinfo->args[0].value = pergroup->transValue;
+			fcinfo->args[0].isnull = pergroup->transValueIsNull;
+			fcinfo->isnull = false; /* just in case transfn doesn't set it */
+
+			newVal = FunctionCallInvoke(fcinfo);
+
 			/*
 			 * For pass-by-ref datatype, must copy the new value into
 			 * aggcontext and free the prior transValue.  But if transfn
diff --git a/src/backend/executor/nodeAgg.c b/src/backend/executor/nodeAgg.c
index 2e9a21bf400..517a2649f7e 100644
--- a/src/backend/executor/nodeAgg.c
+++ b/src/backend/executor/nodeAgg.c
@@ -194,6 +194,29 @@
  *	  transition values.  hashcontext is the single context created to support
  *	  all hash tables.
  *
+ *	  Spilling To Disk
+ *
+ *	  When performing hash aggregation, if the hash table memory exceeds the
+ *	  limit (see hash_agg_check_limits()), we enter "spill mode". In spill
+ *	  mode, we advance the transition states only for groups already in the
+ *	  hash table. For tuples that would need to create a new hash table
+ *	  entries (and initialize new transition states), we instead spill them to
+ *	  disk to be processed later. The tuples are spilled in a partitioned
+ *	  manner, so that subsequent batches are smaller and less likely to exceed
+ *	  work_mem (if a batch does exceed work_mem, it must be spilled
+ *	  recursively).
+ *
+ *	  Spilled data is written to logical tapes. These provide better control
+ *	  over memory usage, disk space, and the number of files than if we were
+ *	  to use a BufFile for each spill.
+ *
+ *	  Note that it's possible for transition states to start small but then
+ *	  grow very large; for instance in the case of ARRAY_AGG. In such cases,
+ *	  it's still possible to significantly exceed work_mem. We try to avoid
+ *	  this situation by estimating what will fit in the available memory, and
+ *	  imposing a limit on the number of groups separately from the amount of
+ *	  memory consumed.
+ *
  *    Transition / Combine function invocation:
  *
  *    For performance reasons transition functions, including combine
@@ -233,12 +256,100 @@
 #include "utils/acl.h"
 #include "utils/builtins.h"
 #include "utils/datum.h"
+#include "utils/dynahash.h"
 #include "utils/expandeddatum.h"
+#include "utils/logtape.h"
 #include "utils/lsyscache.h"
 #include "utils/memutils.h"
 #include "utils/syscache.h"
 #include "utils/tuplesort.h"
 
+/*
+ * Control how many partitions are created when spilling HashAgg to
+ * disk.
+ *
+ * HASHAGG_PARTITION_FACTOR is multiplied by the estimated number of
+ * partitions needed such that each partition will fit in memory. The factor
+ * is set higher than one because there's not a high cost to having a few too
+ * many partitions, and it makes it less likely that a partition will need to
+ * be spilled recursively. Another benefit of having more, smaller partitions
+ * is that small hash tables may perform better than large ones due to memory
+ * caching effects.
+ *
+ * We also specify a min and max number of partitions per spill. Too few might
+ * mean a lot of wasted I/O from repeated spilling of the same tuples. Too
+ * many will result in lots of memory wasted buffering the spill files (which
+ * could instead be spent on a larger hash table).
+ *
+ * For reading from tapes, the buffer size must be a multiple of
+ * BLCKSZ. Larger values help when reading from multiple tapes concurrently,
+ * but that doesn't happen in HashAgg, so we simply use BLCKSZ. Writing to a
+ * tape always uses a buffer of size BLCKSZ.
+ */
+#define HASHAGG_PARTITION_FACTOR 1.50
+#define HASHAGG_MIN_PARTITIONS 4
+#define HASHAGG_MAX_PARTITIONS 256
+#define HASHAGG_MIN_BUCKETS 256
+#define HASHAGG_READ_BUFFER_SIZE BLCKSZ
+#define HASHAGG_WRITE_BUFFER_SIZE BLCKSZ
+
+/*
+ * Track all tapes needed for a HashAgg that spills. We don't know the maximum
+ * number of tapes needed at the start of the algorithm (because it can
+ * recurse), so one tape set is allocated and extended as needed for new
+ * tapes. When a particular tape is already read, rewind it for write mode and
+ * put it in the free list.
+ *
+ * Tapes' buffers can take up substantial memory when many tapes are open at
+ * once. We only need one tape open at a time in read mode (using a buffer
+ * that's a multiple of BLCKSZ); but we need up to HASHAGG_MAX_PARTITIONS
+ * tapes open in write mode (each requiring a buffer of size BLCKSZ).
+ */
+typedef struct HashTapeInfo
+{
+	LogicalTapeSet	*tapeset;
+	int				 ntapes;
+	int				*freetapes;
+	int				 nfreetapes;
+} HashTapeInfo;
+
+/*
+ * Represents partitioned spill data for a single hashtable. Contains the
+ * necessary information to route tuples to the correct partition, and to
+ * transform the spilled data into new batches.
+ *
+ * The high bits are used for partition selection (when recursing, we ignore
+ * the bits that have already been used for partition selection at an earlier
+ * level).
+ */
+typedef struct HashAggSpill
+{
+	HashTapeInfo *tapeinfo;		/* borrowed reference to tape info */
+	int		 npartitions;		/* number of partitions */
+	int		*partitions;		/* spill partition tape numbers */
+	int64   *ntuples;			/* number of tuples in each partition */
+	uint32   mask;				/* mask to find partition from hash value */
+	int      shift;				/* after masking, shift by this amount */
+} HashAggSpill;
+
+/*
+ * Represents work to be done for one pass of hash aggregation (with only one
+ * grouping set).
+ *
+ * Also tracks the bits of the hash already used for partition selection by
+ * earlier iterations, so that this batch can use new bits. If all bits have
+ * already been used, no partitioning will be done (any spilled data will go
+ * to a single output tape).
+ */
+typedef struct HashAggBatch
+{
+	int				 setno;			/* grouping set */
+	int				 used_bits;		/* number of bits of hash already used */
+	HashTapeInfo	*tapeinfo;		/* borrowed reference to tape info */
+	int				 input_tapenum;	/* input partition tape */
+	int64			 input_tuples;	/* number of tuples in this batch */
+} HashAggBatch;
+
 static void select_current_set(AggState *aggstate, int setno, bool is_hash);
 static void initialize_phase(AggState *aggstate, int newphase);
 static TupleTableSlot *fetch_input_tuple(AggState *aggstate);
@@ -275,11 +386,38 @@ static Bitmapset *find_unaggregated_cols(AggState *aggstate);
 static bool find_unaggregated_cols_walker(Node *node, Bitmapset **colnos);
 static void build_hash_tables(AggState *aggstate);
 static void build_hash_table(AggState *aggstate, int setno, long nbuckets);
+static void hashagg_recompile_expressions(AggState *aggstate);
+static long hash_choose_num_buckets(AggState *aggstate,
+									long estimated_nbuckets,
+									Size memory);
+static int hash_choose_num_partitions(uint64 input_groups,
+									  double hashentrysize,
+									  int used_bits,
+									  int *log2_npartittions);
 static AggStatePerGroup lookup_hash_entry(AggState *aggstate, uint32 hash);
 static void lookup_hash_entries(AggState *aggstate);
 static TupleTableSlot *agg_retrieve_direct(AggState *aggstate);
 static void agg_fill_hash_table(AggState *aggstate);
+static bool agg_refill_hash_table(AggState *aggstate);
 static TupleTableSlot *agg_retrieve_hash_table(AggState *aggstate);
+static TupleTableSlot *agg_retrieve_hash_table_in_memory(AggState *aggstate);
+static void hash_agg_check_limits(AggState *aggstate);
+static void hashagg_finish_initial_spills(AggState *aggstate);
+static void hashagg_reset_spill_state(AggState *aggstate);
+static HashAggBatch *hashagg_batch_new(HashTapeInfo *tapeinfo,
+									   int input_tapenum, int setno,
+									   int64 input_tuples, int used_bits);
+static MinimalTuple hashagg_batch_read(HashAggBatch *batch, uint32 *hashp);
+static void hashagg_spill_init(HashAggSpill *spill, HashTapeInfo *tapeinfo,
+							   int used_bits, uint64 input_tuples,
+							   double hashentrysize);
+static Size hashagg_spill_tuple(HashAggSpill *spill, TupleTableSlot *slot,
+								uint32 hash);
+static void hashagg_spill_finish(AggState *aggstate, HashAggSpill *spill,
+								 int setno);
+static void hashagg_tapeinfo_assign(HashTapeInfo *tapeinfo, int *dest,
+									int ndest);
+static void hashagg_tapeinfo_release(HashTapeInfo *tapeinfo, int tapenum);
 static Datum GetAggInitVal(Datum textInitVal, Oid transtype);
 static void build_pertrans_for_aggref(AggStatePerTrans pertrans,
 									  AggState *aggstate, EState *estate,
@@ -1261,7 +1399,7 @@ find_unaggregated_cols_walker(Node *node, Bitmapset **colnos)
 }
 
 /*
- * (Re-)initialize the hash table(s) to empty.
+ * Initialize the hash table(s).
  *
  * To implement hashed aggregation, we need a hashtable that stores a
  * representative tuple and an array of AggStatePerGroup structs for each
@@ -1272,9 +1410,9 @@ find_unaggregated_cols_walker(Node *node, Bitmapset **colnos)
  * We have a separate hashtable and associated perhash data structure for each
  * grouping set for which we're doing hashing.
  *
- * The contents of the hash tables always live in the hashcontext's per-tuple
- * memory context (there is only one of these for all tables together, since
- * they are all reset at the same time).
+ * The hash tables and their contents always live in the hashcontext's
+ * per-tuple memory context (there is only one of these for all tables
+ * together, since they are all reset at the same time).
  */
 static void
 build_hash_tables(AggState *aggstate)
@@ -1284,11 +1422,24 @@ build_hash_tables(AggState *aggstate)
 	for (setno = 0; setno < aggstate->num_hashes; ++setno)
 	{
 		AggStatePerHash perhash = &aggstate->perhash[setno];
+		long			nbuckets;
+		Size			memory;
 
 		Assert(perhash->aggnode->numGroups > 0);
 
-		build_hash_table(aggstate, setno, perhash->aggnode->numGroups);
+		memory = aggstate->hash_mem_limit / aggstate->num_hashes;
+
+		/* choose reasonable number of buckets per hashtable */
+		nbuckets = hash_choose_num_buckets(
+			aggstate, perhash->aggnode->numGroups, memory);
+
+		build_hash_table(aggstate, setno, nbuckets);
 	}
+
+	aggstate->hash_alloc_current = MemoryContextMemAllocated(
+		aggstate->hashcontext->ecxt_per_tuple_memory, true);
+	aggstate->hash_alloc_last = aggstate->hash_alloc_current;
+	aggstate->hash_ngroups_current = 0;
 }
 
 /*
@@ -1298,7 +1449,7 @@ static void
 build_hash_table(AggState *aggstate, int setno, long nbuckets)
 {
 	AggStatePerHash perhash = &aggstate->perhash[setno];
-	MemoryContext	metacxt = aggstate->ss.ps.state->es_query_cxt;
+	MemoryContext	metacxt;
 	MemoryContext	hashcxt = aggstate->hashcontext->ecxt_per_tuple_memory;
 	MemoryContext	tmpcxt	= aggstate->tmpcontext->ecxt_per_tuple_memory;
 	Size            additionalsize;
@@ -1306,6 +1457,12 @@ build_hash_table(AggState *aggstate, int setno, long nbuckets)
 	Assert(aggstate->aggstrategy == AGG_HASHED ||
 		   aggstate->aggstrategy == AGG_MIXED);
 
+	/*
+	 * We don't try to preserve any part of the hash table. Set the metacxt to
+	 * hashcxt, which will be reset for each batch.
+	 */
+	metacxt = hashcxt;
+
 	/*
 	 * Used to make sure initial hash table allocation does not exceed
 	 * work_mem. Note that the estimate does not include space for
@@ -1481,14 +1638,250 @@ hash_agg_entry_size(int numAggs, Size tupleWidth, Size transitionSpace)
 		transitionSpace;
 }
 
+/*
+ * Recompile the expressions for advancing aggregates while hashing. This is
+ * necessary for certain kinds of state changes that affect the resulting
+ * expression. For instance, changing aggstate->hash_ever_spilled or
+ * aggstate->ss.ps.outerops requires recompilation.
+ *
+ * A compiled expression where hash_ever_spilled is true will work even when
+ * hash_spill_mode is false, because it merely introduces additional branches
+ * that are unnecessary when hash_spill_mode is false. That allows us to only
+ * recompile when hash_ever_spilled changes, rather than every time
+ * hash_spill_mode changes.
+ */
+static void
+hashagg_recompile_expressions(AggState *aggstate)
+{
+	AggStatePerPhase phase;
+
+	Assert(aggstate->aggstrategy == AGG_HASHED ||
+		   aggstate->aggstrategy == AGG_MIXED);
+
+	if (aggstate->aggstrategy == AGG_HASHED)
+		phase = &aggstate->phases[0];
+	else /* AGG_MIXED */
+		phase = &aggstate->phases[1];
+
+	phase->evaltrans = ExecBuildAggTrans(
+		aggstate, phase,
+		aggstate->aggstrategy == AGG_MIXED ? true : false, /* dosort */
+		true, /* dohash */
+		aggstate->hash_ever_spilled);
+}
+
+/*
+ * Set limits that trigger spilling to avoid exceeding work_mem. Consider the
+ * number of partitions we expect to create (if we do spill).
+ *
+ * There are two limits: a memory limit, and also an ngroups limit. The
+ * ngroups limit becomes important when we expect transition values to grow
+ * substantially larger than the initial value.
+ */
+void
+hash_agg_set_limits(double hashentrysize, uint64 input_groups, int used_bits,
+					Size *mem_limit, long *ngroups_limit, int *num_partitions)
+{
+	int npartitions;
+	Size partition_mem;
+
+	/* no attempt to obey work_mem */
+	if (hashagg_mem_overflow)
+	{
+		*mem_limit = SIZE_MAX;
+		*ngroups_limit = LONG_MAX;
+		return;
+	}
+
+	/* if not expected to spill, use all of work_mem */
+	if (input_groups * hashentrysize < work_mem * 1024L)
+	{
+		*mem_limit = work_mem * 1024L;
+		*ngroups_limit = *mem_limit / hashentrysize;
+		return;
+	}
+
+	/*
+	 * Calculate expected memory requirements for spilling, which is the size
+	 * of the buffers needed for all the tapes that need to be open at
+	 * once. Then, subtract that from the memory available for holding hash
+	 * tables.
+	 */
+	npartitions = hash_choose_num_partitions(input_groups,
+											 hashentrysize,
+											 used_bits,
+											 NULL);
+	if (num_partitions != NULL)
+		*num_partitions = npartitions;
+
+	partition_mem =
+		HASHAGG_READ_BUFFER_SIZE +
+		HASHAGG_WRITE_BUFFER_SIZE * npartitions;
+
+	/*
+	 * Don't set the limit below 3/4 of work_mem. In that case, we are at the
+	 * minimum number of partitions, so we aren't going to dramatically exceed
+	 * work mem anyway.
+	 */
+	if (work_mem * 1024L > 4 * partition_mem)
+		*mem_limit = work_mem * 1024L - partition_mem;
+	else
+		*mem_limit = work_mem * 1024L * 0.75;
+
+	if (*mem_limit > hashentrysize)
+		*ngroups_limit = *mem_limit / hashentrysize;
+	else
+		*ngroups_limit = 1;
+}
+
+/*
+ * hash_agg_check_limits
+ *
+ * After adding a new group to the hash table, check whether we need to enter
+ * spill mode. Allocations may happen without adding new groups (for instance,
+ * if the transition state size grows), so this check is imperfect.
+ *
+ * Memory usage is tracked by how much is allocated to the underlying memory
+ * context, not individual chunks. This is more accurate because it accounts
+ * for all memory in the context, and also accounts for fragmentation and
+ * other forms of overhead and waste that can be difficult to estimate. It's
+ * also cheaper because we don't have to track each chunk.
+ *
+ * When memory is first allocated to a memory context, it is not actually
+ * used. So when the next allocation happens, we consider the
+ * previously-allocated amount to be the memory currently used.
+ */
+static void
+hash_agg_check_limits(AggState *aggstate)
+{
+	Size allocation;
+
+	/*
+	 * Even if already in spill mode, it's possible for memory usage to grow,
+	 * and we should still track it for the purposes of EXPLAIN ANALYZE.
+	 */
+	allocation = MemoryContextMemAllocated(
+		aggstate->hashcontext->ecxt_per_tuple_memory, true);
+
+	/* has allocation grown since the last observation? */
+	if (allocation > aggstate->hash_alloc_current)
+	{
+		aggstate->hash_alloc_last = aggstate->hash_alloc_current;
+		aggstate->hash_alloc_current = allocation;
+	}
+
+	if (aggstate->hash_alloc_last > aggstate->hash_mem_peak)
+		aggstate->hash_mem_peak = aggstate->hash_alloc_last;
+
+	/*
+	 * Don't spill unless there's at least one group in the hash table so we
+	 * can be sure to make progress even in edge cases.
+	 */
+	if (aggstate->hash_ngroups_current > 0 &&
+		(aggstate->hash_alloc_last      > aggstate->hash_mem_limit ||
+		 aggstate->hash_ngroups_current > aggstate->hash_ngroups_limit))
+	{
+		aggstate->hash_spill_mode = true;
+
+		if (!aggstate->hash_ever_spilled)
+		{
+			aggstate->hash_ever_spilled = true;
+			aggstate->hash_spills = palloc0(
+				sizeof(HashAggSpill) * aggstate->num_hashes);
+			aggstate->hash_tapeinfo = palloc0(sizeof(HashTapeInfo));
+			hashagg_recompile_expressions(aggstate);
+		}
+	}
+}
+
+/*
+ * Choose a reasonable number of buckets for the initial hash table size.
+ */
+static long
+hash_choose_num_buckets(AggState *aggstate, long ngroups, Size memory)
+{
+	long	max_nbuckets;
+	long	nbuckets = ngroups;
+
+	max_nbuckets = memory / aggstate->hashentrysize;
+
+	/*
+	 * Leave room for slop to avoid a case where the initial hash table size
+	 * exceeds the memory limit (though that may still happen in edge cases).
+	 */
+	max_nbuckets *= 0.75;
+
+	if (nbuckets > max_nbuckets)
+		nbuckets = max_nbuckets;
+	if (nbuckets < HASHAGG_MIN_BUCKETS)
+		nbuckets = HASHAGG_MIN_BUCKETS;
+	return nbuckets;
+}
+
+/*
+ * Determine the number of partitions to create when spilling, which will
+ * always be a power of two. If log2_npartitions is non-NULL, set
+ * *log2_npartitions to the log2() of the number of partitions.
+ */
+static int
+hash_choose_num_partitions(uint64 input_groups, double hashentrysize,
+						   int used_bits, int *log2_npartitions)
+{
+	Size	mem_wanted;
+	int		partition_limit;
+	int		npartitions;
+	int		partition_bits;
+
+	/*
+	 * Avoid creating so many partitions that the memory requirements of the
+	 * open partition files are greater than 1/4 of work_mem.
+	 */
+	partition_limit =
+		(work_mem * 1024L * 0.25 - HASHAGG_READ_BUFFER_SIZE) /
+		HASHAGG_WRITE_BUFFER_SIZE;
+
+	/* pessimistically estimate that each input tuple creates a new group */
+	mem_wanted = HASHAGG_PARTITION_FACTOR * input_groups * hashentrysize;
+
+	/* make enough partitions so that each one is likely to fit in memory */
+	npartitions = 1 + (mem_wanted / (work_mem * 1024L));
+
+	if (npartitions > partition_limit)
+		npartitions = partition_limit;
+
+	if (npartitions < HASHAGG_MIN_PARTITIONS)
+		npartitions = HASHAGG_MIN_PARTITIONS;
+	if (npartitions > HASHAGG_MAX_PARTITIONS)
+		npartitions = HASHAGG_MAX_PARTITIONS;
+
+	/* ceil(log2(npartitions)) */
+	partition_bits = my_log2(npartitions);
+
+	/* make sure that we don't exhaust the hash bits */
+	if (partition_bits + used_bits >= 32)
+		partition_bits = 32 - used_bits;
+
+	if (log2_npartitions != NULL)
+		*log2_npartitions = partition_bits;
+
+	/* number of partitions will be a power of two */
+	npartitions = 1L << partition_bits;
+
+	return npartitions;
+}
+
 /*
  * Find or create a hashtable entry for the tuple group containing the current
  * tuple (already set in tmpcontext's outertuple slot), in the current grouping
  * set (which the caller must have selected - note that initialize_aggregate
  * depends on this).
  *
- * When called, CurrentMemoryContext should be the per-query context. The
- * already-calculated hash value for the tuple must be specified.
+ * When called, CurrentMemoryContext should be the per-query context.
+ *
+ * If the hash table is at the memory limit, then only find existing hashtable
+ * entries; don't create new ones. If a tuple's group is not already present
+ * in the hash table for the current grouping set, return NULL and the caller
+ * will spill it to disk.
  */
 static AggStatePerGroup
 lookup_hash_entry(AggState *aggstate, uint32 hash)
@@ -1496,16 +1889,27 @@ lookup_hash_entry(AggState *aggstate, uint32 hash)
 	AggStatePerHash perhash = &aggstate->perhash[aggstate->current_set];
 	TupleTableSlot *hashslot = perhash->hashslot;
 	TupleHashEntryData *entry;
-	bool		isnew;
+	bool			isnew = false;
+	bool		   *p_isnew;
+
+	/* if hash table already spilled, don't create new entries */
+	p_isnew = aggstate->hash_spill_mode ? NULL : &isnew;
 
 	/* find or create the hashtable entry using the filtered tuple */
-	entry = LookupTupleHashEntryHash(perhash->hashtable, hashslot, &isnew,
+	entry = LookupTupleHashEntryHash(perhash->hashtable, hashslot, p_isnew,
 									 hash);
 
+	if (entry == NULL)
+		return NULL;
+
 	if (isnew)
 	{
-		AggStatePerGroup pergroup;
-		int			transno;
+		AggStatePerGroup	pergroup;
+		int					transno;
+
+		aggstate->hash_ngroups_current++;
+		if (!hashagg_mem_overflow)
+			hash_agg_check_limits(aggstate);
 
 		pergroup = (AggStatePerGroup)
 			MemoryContextAlloc(perhash->hashtable->tablecxt,
@@ -1533,23 +1937,51 @@ lookup_hash_entry(AggState *aggstate, uint32 hash)
  * returning an array of pergroup pointers suitable for advance_aggregates.
  *
  * Be aware that lookup_hash_entry can reset the tmpcontext.
+ *
+ * Some entries may be left NULL if we have reached the limit and have begun
+ * to spill. The same tuple will belong to different groups for each set, so
+ * may match a group already in memory for one set and match a group not in
+ * memory for another set. If we have begun to spill and a tuple doesn't match
+ * a group in memory for a particular set, it will be spilled.
+ *
+ * NB: It's possible to spill the same tuple for several different grouping
+ * sets. This may seem wasteful, but it's actually a trade-off: if we spill
+ * the tuple multiple times for multiple grouping sets, it can be partitioned
+ * for each grouping set, making the refilling of the hash table very
+ * efficient.
  */
 static void
 lookup_hash_entries(AggState *aggstate)
 {
-	int			numHashes = aggstate->num_hashes;
 	AggStatePerGroup *pergroup = aggstate->hash_pergroup;
 	int			setno;
 
-	for (setno = 0; setno < numHashes; setno++)
+	for (setno = 0; setno < aggstate->num_hashes; setno++)
 	{
-		AggStatePerHash perhash = &aggstate->perhash[setno];
+		AggStatePerHash	perhash = &aggstate->perhash[setno];
 		uint32			hash;
 
 		select_current_set(aggstate, setno, true);
 		prepare_hash_slot(aggstate);
 		hash = TupleHashTableHash(perhash->hashtable, perhash->hashslot);
 		pergroup[setno] = lookup_hash_entry(aggstate, hash);
+
+		/* check to see if we need to spill the tuple for this grouping set */
+		if (pergroup[setno] == NULL)
+		{
+			HashAggSpill	*spill	 = &aggstate->hash_spills[setno];
+			TupleTableSlot	*slot	 = aggstate->tmpcontext->ecxt_outertuple;
+
+			if (spill->partitions == NULL)
+				hashagg_spill_init(spill, aggstate->hash_tapeinfo, 0,
+								   perhash->aggnode->numGroups,
+								   aggstate->hashentrysize);
+
+			hashagg_spill_tuple(spill, slot, hash);
+
+			aggstate->hash_disk_used = LogicalTapeSetBlocks(
+				aggstate->hash_tapeinfo->tapeset) * (BLCKSZ / 1024);
+		}
 	}
 }
 
@@ -1872,6 +2304,12 @@ agg_retrieve_direct(AggState *aggstate)
 					if (TupIsNull(outerslot))
 					{
 						/* no more outer-plan tuples available */
+
+						/* if we built hash tables, finalize any spills */
+						if (aggstate->aggstrategy == AGG_MIXED &&
+							aggstate->current_phase == 1)
+							hashagg_finish_initial_spills(aggstate);
+
 						if (hasGroupingSets)
 						{
 							aggstate->input_done = true;
@@ -1974,6 +2412,9 @@ agg_fill_hash_table(AggState *aggstate)
 		ResetExprContext(aggstate->tmpcontext);
 	}
 
+	/* finalize spills, if any */
+	hashagg_finish_initial_spills(aggstate);
+
 	aggstate->table_filled = true;
 	/* Initialize to walk the first hash table */
 	select_current_set(aggstate, 0, true);
@@ -1981,11 +2422,196 @@ agg_fill_hash_table(AggState *aggstate)
 						   &aggstate->perhash[0].hashiter);
 }
 
+/*
+ * If any data was spilled during hash aggregation, reset the hash table and
+ * reprocess one batch of spilled data. After reprocessing a batch, the hash
+ * table will again contain data, ready to be consumed by
+ * agg_retrieve_hash_table_in_memory().
+ *
+ * Should only be called after all in memory hash table entries have been
+ * consumed.
+ *
+ * Return false when input is exhausted and there's no more work to be done;
+ * otherwise return true.
+ */
+static bool
+agg_refill_hash_table(AggState *aggstate)
+{
+	HashAggBatch	*batch;
+	HashAggSpill	 spill;
+	HashTapeInfo	*tapeinfo = aggstate->hash_tapeinfo;
+	long			 nbuckets;
+	int				 setno;
+
+	if (aggstate->hash_batches == NIL)
+		return false;
+
+	spill.npartitions = 0;
+	spill.partitions = NULL;
+	/*
+	 * Each spill file contains spilled data for only a single grouping
+	 * set. We want to ignore all others, which is done by setting the other
+	 * pergroups to NULL.
+	 */
+	memset(aggstate->all_pergroups, 0,
+		   sizeof(AggStatePerGroup) *
+		   (aggstate->maxsets + aggstate->num_hashes));
+
+	batch = linitial(aggstate->hash_batches);
+	aggstate->hash_batches = list_delete_first(aggstate->hash_batches);
+
+	hash_agg_set_limits(aggstate->hashentrysize, batch->input_tuples,
+						batch->used_bits, &aggstate->hash_mem_limit,
+						&aggstate->hash_ngroups_limit, NULL);
+
+	/*
+	 * Free memory and rebuild a single hash table for this batch's grouping
+	 * set. Estimate the number of groups to be the number of input tuples in
+	 * this batch.
+	 */
+	ReScanExprContext(aggstate->hashcontext);
+	for (setno = 0; setno < aggstate->num_hashes; setno++)
+		aggstate->perhash[setno].hashtable = NULL;
+
+	nbuckets = hash_choose_num_buckets(
+		aggstate, batch->input_tuples, aggstate->hash_mem_limit);
+	build_hash_table(aggstate, batch->setno, nbuckets);
+	aggstate->hash_alloc_current = MemoryContextMemAllocated(
+		aggstate->hashcontext->ecxt_per_tuple_memory, true);
+	aggstate->hash_alloc_last = aggstate->hash_alloc_current;
+	aggstate->hash_ngroups_current = 0;
+
+	Assert(aggstate->current_phase == 0);
+
+	if (aggstate->phase->aggstrategy == AGG_MIXED)
+	{
+		aggstate->current_phase = 1;
+		aggstate->phase = &aggstate->phases[aggstate->current_phase];
+	}
+
+	/*
+	 * The first pass (agg_fill_hash_table) reads whatever kind of slot comes
+	 * from the outer plan, and considers the slot fixed. But spilled tuples
+	 * are always MinimalTuples, so if that's different from the outer plan we
+	 * need to change it and recompile the aggregate expressions.
+	 */
+	if (aggstate->ss.ps.outerops != &TTSOpsMinimalTuple)
+	{
+		aggstate->ss.ps.outerops = &TTSOpsMinimalTuple;
+		hashagg_recompile_expressions(aggstate);
+	}
+
+	LogicalTapeRewindForRead(tapeinfo->tapeset, batch->input_tapenum,
+							 HASHAGG_READ_BUFFER_SIZE);
+	for (;;) {
+		TupleTableSlot	*slot = aggstate->hash_spill_slot;
+		MinimalTuple	 tuple;
+		uint32			 hash;
+
+		CHECK_FOR_INTERRUPTS();
+
+		tuple = hashagg_batch_read(batch, &hash);
+		if (tuple == NULL)
+			break;
+
+		ExecStoreMinimalTuple(tuple, slot, true);
+		aggstate->tmpcontext->ecxt_outertuple = slot;
+
+		select_current_set(aggstate, batch->setno, true);
+		prepare_hash_slot(aggstate);
+		aggstate->hash_pergroup[batch->setno] = lookup_hash_entry(aggstate, hash);
+
+		/* if there's no memory for a new group, spill */
+		if (aggstate->hash_pergroup[batch->setno] == NULL)
+		{
+			/*
+			 * Estimate the number of groups for this batch as the total
+			 * number of tuples in its input file. Although that's a worst
+			 * case, it's not bad here for two reasons: (1) overestimating
+			 * is better than underestimating; and (2) we've already
+			 * scanned the relation once, so it's likely that we've
+			 * already finalized many of the common values.
+			 */
+			if (spill.partitions == NULL)
+				hashagg_spill_init(&spill, tapeinfo, batch->used_bits,
+								   batch->input_tuples,
+								   aggstate->hashentrysize);
+
+			hashagg_spill_tuple(&spill, slot, hash);
+
+			aggstate->hash_disk_used = LogicalTapeSetBlocks(
+				aggstate->hash_tapeinfo->tapeset) * (BLCKSZ / 1024);
+		}
+
+		/* Advance the aggregates (or combine functions) */
+		advance_aggregates(aggstate);
+
+		/*
+		 * Reset per-input-tuple context after each tuple, but note that the
+		 * hash lookups do this too
+		 */
+		ResetExprContext(aggstate->tmpcontext);
+	}
+
+	hashagg_tapeinfo_release(tapeinfo, batch->input_tapenum);
+
+	aggstate->current_phase = 0;
+	aggstate->phase = &aggstate->phases[aggstate->current_phase];
+
+	/* update hashentrysize estimate based on contents */
+	if (aggstate->hash_ngroups_current > 0)
+	{
+		aggstate->hashentrysize = (double)aggstate->hash_alloc_last /
+			(double)aggstate->hash_ngroups_current;
+	}
+
+	hashagg_spill_finish(aggstate, &spill, batch->setno);
+	aggstate->hash_spill_mode = false;
+
+	pfree(batch);
+
+	/* Initialize to walk the first hash table */
+	select_current_set(aggstate, 0, true);
+	ResetTupleHashIterator(aggstate->perhash[0].hashtable,
+						   &aggstate->perhash[0].hashiter);
+
+	return true;
+}
+
 /*
  * ExecAgg for hashed case: retrieving groups from hash table
+ *
+ * After exhausting in-memory tuples, also try refilling the hash table using
+ * previously-spilled tuples. Only returns NULL after all in-memory and
+ * spilled tuples are exhausted.
  */
 static TupleTableSlot *
 agg_retrieve_hash_table(AggState *aggstate)
+{
+	TupleTableSlot *result = NULL;
+
+	while (result == NULL)
+	{
+		result = agg_retrieve_hash_table_in_memory(aggstate);
+		if (result == NULL)
+		{
+			if (!agg_refill_hash_table(aggstate))
+			{
+				aggstate->agg_done = true;
+				break;
+			}
+		}
+	}
+
+	return result;
+}
+
+/*
+ * Retrieve the groups from the in-memory hash tables without considering any
+ * spilled tuples.
+ */
+static TupleTableSlot *
+agg_retrieve_hash_table_in_memory(AggState *aggstate)
 {
 	ExprContext *econtext;
 	AggStatePerAgg peragg;
@@ -2014,7 +2640,7 @@ agg_retrieve_hash_table(AggState *aggstate)
 	 * We loop retrieving groups until we find one satisfying
 	 * aggstate->ss.ps.qual
 	 */
-	while (!aggstate->agg_done)
+	for (;;)
 	{
 		TupleTableSlot *hashslot = perhash->hashslot;
 		int			i;
@@ -2039,14 +2665,15 @@ agg_retrieve_hash_table(AggState *aggstate)
 
 				perhash = &aggstate->perhash[aggstate->current_set];
 
+				if (perhash->hashtable == NULL)
+					return NULL;
+
 				ResetTupleHashIterator(perhash->hashtable, &perhash->hashiter);
 
 				continue;
 			}
 			else
 			{
-				/* No more hashtables, so done */
-				aggstate->agg_done = true;
 				return NULL;
 			}
 		}
@@ -2103,6 +2730,296 @@ agg_retrieve_hash_table(AggState *aggstate)
 	return NULL;
 }
 
+/*
+ * Assign unused tapes to spill partitions, extending the tape set if
+ * necessary.
+ */
+static void
+hashagg_tapeinfo_assign(HashTapeInfo *tapeinfo, int *partitions,
+						int npartitions)
+{
+	int partidx = 0;
+
+	/* use free tapes if available */
+	while (partidx < npartitions && tapeinfo->nfreetapes > 0)
+		partitions[partidx++] = tapeinfo->freetapes[--tapeinfo->nfreetapes];
+
+	if (tapeinfo->tapeset == NULL)
+		tapeinfo->tapeset = LogicalTapeSetCreate(npartitions, NULL, NULL, -1);
+	else if (partidx < npartitions)
+	{
+		tapeinfo->tapeset = LogicalTapeSetExtend(
+			tapeinfo->tapeset, npartitions - partidx);
+	}
+
+	while (partidx < npartitions)
+		partitions[partidx++] = tapeinfo->ntapes++;
+}
+
+/*
+ * After a tape has already been written to and then read, this function
+ * rewinds it for writing and adds it to the free list.
+ */
+static void
+hashagg_tapeinfo_release(HashTapeInfo *tapeinfo, int tapenum)
+{
+	LogicalTapeRewindForWrite(tapeinfo->tapeset, tapenum);
+	if (tapeinfo->freetapes == NULL)
+		tapeinfo->freetapes = palloc(sizeof(int));
+	else
+		tapeinfo->freetapes = repalloc(
+			tapeinfo->freetapes, sizeof(int) * (tapeinfo->nfreetapes + 1));
+	tapeinfo->freetapes[tapeinfo->nfreetapes++] = tapenum;
+}
+
+/*
+ * hashagg_spill_init
+ *
+ * Called after we determined that spilling is necessary. Chooses the number
+ * of partitions to create, and initializes them.
+ */
+static void
+hashagg_spill_init(HashAggSpill *spill, HashTapeInfo *tapeinfo, int used_bits,
+				   uint64 input_groups, double hashentrysize)
+{
+	int		npartitions;
+	int     partition_bits;
+
+	npartitions = hash_choose_num_partitions(
+		input_groups, hashentrysize, used_bits, &partition_bits);
+
+	spill->partitions = palloc0(sizeof(int) * npartitions);
+	spill->ntuples = palloc0(sizeof(int64) * npartitions);
+
+	hashagg_tapeinfo_assign(tapeinfo, spill->partitions, npartitions);
+
+	spill->tapeinfo = tapeinfo;
+	spill->shift = 32 - used_bits - partition_bits;
+	spill->mask = (npartitions - 1) << spill->shift;
+	spill->npartitions = npartitions;
+}
+
+/*
+ * hashagg_spill_tuple
+ *
+ * No room for new groups in the hash table. Save for later in the appropriate
+ * partition.
+ */
+static Size
+hashagg_spill_tuple(HashAggSpill *spill, TupleTableSlot *slot, uint32 hash)
+{
+	LogicalTapeSet		*tapeset = spill->tapeinfo->tapeset;
+	int					 partition;
+	MinimalTuple		 tuple;
+	int					 tapenum;
+	int					 total_written = 0;
+	bool				 shouldFree;
+
+	Assert(spill->partitions != NULL);
+
+	/* may contain unnecessary attributes, consider projecting? */
+	tuple = ExecFetchSlotMinimalTuple(slot, &shouldFree);
+
+	partition = (hash & spill->mask) >> spill->shift;
+	spill->ntuples[partition]++;
+
+	tapenum = spill->partitions[partition];
+
+	LogicalTapeWrite(tapeset, tapenum, (void *) &hash, sizeof(uint32));
+	total_written += sizeof(uint32);
+
+	LogicalTapeWrite(tapeset, tapenum, (void *) tuple, tuple->t_len);
+	total_written += tuple->t_len;
+
+	if (shouldFree)
+		pfree(tuple);
+
+	return total_written;
+}
+
+/*
+ * hashagg_batch_new
+ *
+ * Construct a HashAggBatch item, which represents one iteration of HashAgg to
+ * be done. Should be called in the aggregate's memory context.
+ */
+static HashAggBatch *
+hashagg_batch_new(HashTapeInfo *tapeinfo, int tapenum, int setno,
+				  int64 input_tuples, int used_bits)
+{
+	HashAggBatch *batch = palloc0(sizeof(HashAggBatch));
+
+	batch->setno = setno;
+	batch->used_bits = used_bits;
+	batch->tapeinfo = tapeinfo;
+	batch->input_tapenum = tapenum;
+	batch->input_tuples = input_tuples;
+
+	return batch;
+}
+
+/*
+ * read_spilled_tuple
+ * 		read the next tuple from a batch file.  Return NULL if no more.
+ */
+static MinimalTuple
+hashagg_batch_read(HashAggBatch *batch, uint32 *hashp)
+{
+	LogicalTapeSet *tapeset = batch->tapeinfo->tapeset;
+	int				tapenum = batch->input_tapenum;
+	MinimalTuple	tuple;
+	uint32			t_len;
+	size_t			nread;
+	uint32			hash;
+
+	nread = LogicalTapeRead(tapeset, tapenum, &hash, sizeof(uint32));
+	if (nread == 0)
+		return NULL;
+	if (nread != sizeof(uint32))
+		ereport(ERROR,
+				(errcode_for_file_access(),
+				 errmsg("unexpected EOF for tape %d: requested %zu bytes, read %zu bytes",
+						tapenum, sizeof(uint32), nread)));
+	if (hashp != NULL)
+		*hashp = hash;
+
+	nread = LogicalTapeRead(tapeset, tapenum, &t_len, sizeof(t_len));
+	if (nread != sizeof(uint32))
+		ereport(ERROR,
+				(errcode_for_file_access(),
+				 errmsg("unexpected EOF for tape %d: requested %zu bytes, read %zu bytes",
+						tapenum, sizeof(uint32), nread)));
+
+	tuple = (MinimalTuple) palloc(t_len);
+	tuple->t_len = t_len;
+
+	nread = LogicalTapeRead(tapeset, tapenum,
+							(void *)((char *)tuple + sizeof(uint32)),
+							t_len - sizeof(uint32));
+	if (nread != t_len - sizeof(uint32))
+		ereport(ERROR,
+				(errcode_for_file_access(),
+				 errmsg("unexpected EOF for tape %d: requested %zu bytes, read %zu bytes",
+						tapenum, t_len - sizeof(uint32), nread)));
+
+	return tuple;
+}
+
+/*
+ * hashagg_finish_initial_spills
+ *
+ * After a HashAggBatch has been processed, it may have spilled tuples to
+ * disk. If so, turn the spilled partitions into new batches that must later
+ * be executed.
+ */
+static void
+hashagg_finish_initial_spills(AggState *aggstate)
+{
+	int setno;
+
+	if (aggstate->hash_spills == NULL)
+		return;
+
+	/* update hashentrysize estimate based on contents */
+	Assert(aggstate->hash_ngroups_current > 0);
+	aggstate->hashentrysize = (double)aggstate->hash_alloc_last /
+		(double)aggstate->hash_ngroups_current;
+
+	for (setno = 0; setno < aggstate->num_hashes; setno++)
+		hashagg_spill_finish(aggstate, &aggstate->hash_spills[setno], setno);
+
+	aggstate->hash_spill_mode = false;
+
+	/*
+	 * We're not processing tuples from outer plan any more; only processing
+	 * batches of spilled tuples. The initial spill structures are no longer
+	 * needed.
+	 */
+	pfree(aggstate->hash_spills);
+	aggstate->hash_spills = NULL;
+}
+
+/*
+ * hashagg_spill_finish
+ *
+ * Transform spill partitions into new batches.
+ */
+static void
+hashagg_spill_finish(AggState *aggstate, HashAggSpill *spill, int setno)
+{
+	int i;
+	int used_bits = 32 - spill->shift;
+
+	if (spill->npartitions == 0)
+		return;	/* didn't spill */
+
+	for (i = 0; i < spill->npartitions; i++)
+	{
+		int				 tapenum = spill->partitions[i];
+		MemoryContext    oldContext;
+		HashAggBatch    *new_batch;
+
+		oldContext = MemoryContextSwitchTo(aggstate->ss.ps.state->es_query_cxt);
+		new_batch = hashagg_batch_new(aggstate->hash_tapeinfo,
+									  tapenum, setno, spill->ntuples[i],
+									  used_bits);
+		aggstate->hash_batches = lcons(new_batch, aggstate->hash_batches);
+		aggstate->hash_batches_used++;
+		MemoryContextSwitchTo(oldContext);
+	}
+
+	pfree(spill->ntuples);
+	pfree(spill->partitions);
+}
+
+/*
+ * Free resources related to a spilled HashAgg.
+ */
+static void
+hashagg_reset_spill_state(AggState *aggstate)
+{
+	ListCell *lc;
+
+	/* free spills from initial pass */
+	if (aggstate->hash_spills != NULL)
+	{
+		int setno;
+
+		for (setno = 0; setno < aggstate->num_hashes; setno++)
+		{
+			HashAggSpill *spill = &aggstate->hash_spills[setno];
+			if (spill->ntuples != NULL)
+				pfree(spill->ntuples);
+			if (spill->partitions != NULL)
+				pfree(spill->partitions);
+		}
+		pfree(aggstate->hash_spills);
+		aggstate->hash_spills = NULL;
+	}
+
+	/* free batches */
+	foreach(lc, aggstate->hash_batches)
+	{
+		HashAggBatch *batch = (HashAggBatch*) lfirst(lc);
+		pfree(batch);
+	}
+	list_free(aggstate->hash_batches);
+	aggstate->hash_batches = NIL;
+
+	/* close tape set */
+	if (aggstate->hash_tapeinfo != NULL)
+	{
+		HashTapeInfo *tapeinfo = aggstate->hash_tapeinfo;
+		if (tapeinfo->tapeset != NULL)
+			LogicalTapeSetClose(tapeinfo->tapeset);
+		if (tapeinfo->freetapes != NULL)
+			pfree(tapeinfo->freetapes);
+		pfree(tapeinfo);
+		aggstate->hash_tapeinfo = NULL;
+	}
+}
+
+
 /* -----------------
  * ExecInitAgg
  *
@@ -2287,6 +3204,10 @@ ExecInitAgg(Agg *node, EState *estate, int eflags)
 			aggstate->ss.ps.outeropsfixed = false;
 	}
 
+	if (use_hashing)
+		aggstate->hash_spill_slot = ExecInitExtraTupleSlot(estate, scanDesc,
+														   &TTSOpsMinimalTuple);
+
 	/*
 	 * Initialize result type, slot and projection.
 	 */
@@ -2512,9 +3433,22 @@ ExecInitAgg(Agg *node, EState *estate, int eflags)
 	 */
 	if (use_hashing)
 	{
+		Plan   *outerplan = outerPlan(node);
+		long	totalGroups = 0;
+		int 	i;
+
 		/* this is an array of pointers, not structures */
 		aggstate->hash_pergroup = pergroups;
 
+		aggstate->hashentrysize = hash_agg_entry_size(
+			aggstate->numtrans, outerplan->plan_width, node->transitionSpace);
+
+		for (i = 0; i < aggstate->num_hashes; i++)
+			totalGroups = aggstate->perhash[i].aggnode->numGroups;
+
+		hash_agg_set_limits(aggstate->hashentrysize, totalGroups, 0,
+							&aggstate->hash_mem_limit,
+							&aggstate->hash_ngroups_limit, NULL);
 		find_hash_columns(aggstate);
 		build_hash_tables(aggstate);
 		aggstate->table_filled = false;
@@ -2922,7 +3856,8 @@ ExecInitAgg(Agg *node, EState *estate, int eflags)
 		else
 			Assert(false);
 
-		phase->evaltrans = ExecBuildAggTrans(aggstate, phase, dosort, dohash);
+		phase->evaltrans = ExecBuildAggTrans(aggstate, phase, dosort, dohash,
+											 false);
 
 	}
 
@@ -3417,6 +4352,8 @@ ExecEndAgg(AggState *node)
 	if (node->sort_out)
 		tuplesort_end(node->sort_out);
 
+	hashagg_reset_spill_state(node);
+
 	for (transno = 0; transno < node->numtrans; transno++)
 	{
 		AggStatePerTrans pertrans = &node->pertrans[transno];
@@ -3472,12 +4409,13 @@ ExecReScanAgg(AggState *node)
 			return;
 
 		/*
-		 * If we do have the hash table, and the subplan does not have any
-		 * parameter changes, and none of our own parameter changes affect
-		 * input expressions of the aggregated functions, then we can just
-		 * rescan the existing hash table; no need to build it again.
+		 * If we do have the hash table, and it never spilled, and the subplan
+		 * does not have any parameter changes, and none of our own parameter
+		 * changes affect input expressions of the aggregated functions, then
+		 * we can just rescan the existing hash table; no need to build it
+		 * again.
 		 */
-		if (outerPlan->chgParam == NULL &&
+		if (outerPlan->chgParam == NULL && !node->hash_ever_spilled &&
 			!bms_overlap(node->ss.ps.chgParam, aggnode->aggParams))
 		{
 			ResetTupleHashIterator(node->perhash[0].hashtable,
@@ -3534,11 +4472,33 @@ ExecReScanAgg(AggState *node)
 	 */
 	if (node->aggstrategy == AGG_HASHED || node->aggstrategy == AGG_MIXED)
 	{
+		const TupleTableSlotOps *outerops = ExecGetResultSlotOps(
+			outerPlanState(&node->ss), &node->ss.ps.outeropsfixed);
+
+		hashagg_reset_spill_state(node);
+
+		node->hash_ever_spilled = false;
+		node->hash_spill_mode = false;
+		node->hash_alloc_last = 0;
+		node->hash_alloc_current = 0;
+		node->hash_ngroups_current = 0;
+
+		/* reset stats */
+		node->hash_mem_peak = 0;
+		node->hash_disk_used = 0;
+		node->hash_batches_used = 0;
+
 		ReScanExprContext(node->hashcontext);
 		/* Rebuild an empty hash table */
 		build_hash_tables(node);
 		node->table_filled = false;
 		/* iterator will be reset when the table is filled */
+
+		if (node->ss.ps.outerops != outerops)
+		{
+			node->ss.ps.outerops = outerops;
+			hashagg_recompile_expressions(node);
+		}
 	}
 
 	if (node->aggstrategy != AGG_HASHED)
diff --git a/src/backend/jit/llvm/llvmjit_expr.c b/src/backend/jit/llvm/llvmjit_expr.c
index cea0d6fa5ce..7246fc2b33f 100644
--- a/src/backend/jit/llvm/llvmjit_expr.c
+++ b/src/backend/jit/llvm/llvmjit_expr.c
@@ -2047,6 +2047,7 @@ llvm_compile_expr(ExprState *state)
 				}
 
 			case EEOP_AGG_INIT_TRANS:
+			case EEOP_AGG_INIT_TRANS_SPILLED:
 				{
 					AggStatePerTrans pertrans;
 
@@ -2056,6 +2057,7 @@ llvm_compile_expr(ExprState *state)
 					LLVMValueRef v_allpergroupsp;
 
 					LLVMValueRef v_pergroupp;
+					LLVMValueRef v_pergroup_allaggs;
 
 					LLVMValueRef v_setoff,
 								v_transno;
@@ -2082,11 +2084,32 @@ llvm_compile_expr(ExprState *state)
 										  "aggstate.all_pergroups");
 					v_setoff = l_int32_const(op->d.agg_init_trans.setoff);
 					v_transno = l_int32_const(op->d.agg_init_trans.transno);
-					v_pergroupp =
-						LLVMBuildGEP(b,
-									 l_load_gep1(b, v_allpergroupsp, v_setoff, ""),
-									 &v_transno, 1, "");
+					v_pergroup_allaggs = l_load_gep1(b, v_allpergroupsp, v_setoff, "");
 
+					/*
+					 * When no tuples at all have spilled, we avoid adding this
+					 * extra branch. But after some tuples have spilled, this
+					 * branch is necessary, so we recompile the expression
+					 * using a new opcode.
+					 */
+					if (opcode == EEOP_AGG_INIT_TRANS_SPILLED)
+					{
+						LLVMBasicBlockRef b_check_notransvalue = l_bb_before_v(
+							opblocks[opno + 1], "op.%d.check_notransvalue", opno);
+
+						LLVMBuildCondBr(
+							b,
+							LLVMBuildICmp(b, LLVMIntEQ,
+										  LLVMBuildPtrToInt(
+											  b, v_pergroup_allaggs, TypeSizeT, ""),
+										  l_sizet_const(0), ""),
+							opblocks[opno + 1],
+							b_check_notransvalue);
+
+						LLVMPositionBuilderAtEnd(b, b_check_notransvalue);
+					}
+
+					v_pergroupp = LLVMBuildGEP(b, v_pergroup_allaggs, &v_transno, 1, "");
 					v_notransvalue =
 						l_load_struct_gep(b, v_pergroupp,
 										  FIELDNO_AGGSTATEPERGROUPDATA_NOTRANSVALUE,
@@ -2143,6 +2166,7 @@ llvm_compile_expr(ExprState *state)
 				}
 
 			case EEOP_AGG_STRICT_TRANS_CHECK:
+			case EEOP_AGG_STRICT_TRANS_CHECK_SPILLED:
 				{
 					LLVMValueRef v_setoff,
 								v_transno;
@@ -2152,6 +2176,7 @@ llvm_compile_expr(ExprState *state)
 
 					LLVMValueRef v_transnull;
 					LLVMValueRef v_pergroupp;
+					LLVMValueRef v_pergroup_allaggs;
 
 					int			jumpnull = op->d.agg_strict_trans_check.jumpnull;
 
@@ -2171,11 +2196,32 @@ llvm_compile_expr(ExprState *state)
 						l_int32_const(op->d.agg_strict_trans_check.setoff);
 					v_transno =
 						l_int32_const(op->d.agg_strict_trans_check.transno);
-					v_pergroupp =
-						LLVMBuildGEP(b,
-									 l_load_gep1(b, v_allpergroupsp, v_setoff, ""),
-									 &v_transno, 1, "");
+					v_pergroup_allaggs = l_load_gep1(b, v_allpergroupsp, v_setoff, "");
+
+					/*
+					 * When no tuples at all have spilled, we avoid adding this
+					 * extra branch. But after some tuples have spilled, this
+					 * branch is necessary, so we recompile the expression
+					 * using a new opcode.
+					 */
+					if (opcode == EEOP_AGG_STRICT_TRANS_CHECK_SPILLED)
+					{
+						LLVMBasicBlockRef b_check_transnull = l_bb_before_v(
+							opblocks[opno + 1], "op.%d.check_transnull", opno);
+
+						LLVMBuildCondBr(
+							b,
+							LLVMBuildICmp(b, LLVMIntEQ,
+										  LLVMBuildPtrToInt(b, v_pergroup_allaggs,
+															TypeSizeT, ""),
+										  l_sizet_const(0), ""),
+							opblocks[jumpnull],
+							b_check_transnull);
+
+						LLVMPositionBuilderAtEnd(b, b_check_transnull);
+					}
 
+					v_pergroupp = LLVMBuildGEP(b, v_pergroup_allaggs, &v_transno, 1, "");
 					v_transnull =
 						l_load_struct_gep(b, v_pergroupp,
 										  FIELDNO_AGGSTATEPERGROUPDATA_TRANSVALUEISNULL,
@@ -2191,7 +2237,9 @@ llvm_compile_expr(ExprState *state)
 				}
 
 			case EEOP_AGG_PLAIN_TRANS_BYVAL:
+			case EEOP_AGG_PLAIN_TRANS_BYVAL_SPILLED:
 			case EEOP_AGG_PLAIN_TRANS:
+			case EEOP_AGG_PLAIN_TRANS_SPILLED:
 				{
 					AggState   *aggstate;
 					AggStatePerTrans pertrans;
@@ -2217,6 +2265,7 @@ llvm_compile_expr(ExprState *state)
 					LLVMValueRef v_pertransp;
 
 					LLVMValueRef v_pergroupp;
+					LLVMValueRef v_pergroup_allaggs;
 
 					LLVMValueRef v_retval;
 
@@ -2244,10 +2293,33 @@ llvm_compile_expr(ExprState *state)
 										  "aggstate.all_pergroups");
 					v_setoff = l_int32_const(op->d.agg_trans.setoff);
 					v_transno = l_int32_const(op->d.agg_trans.transno);
-					v_pergroupp =
-						LLVMBuildGEP(b,
-									 l_load_gep1(b, v_allpergroupsp, v_setoff, ""),
-									 &v_transno, 1, "");
+					v_pergroup_allaggs = l_load_gep1(b, v_allpergroupsp, v_setoff, "");
+
+					/*
+					 * When no tuples at all have spilled, we avoid adding this
+					 * extra branch. But after some tuples have spilled, this
+					 * branch is necessary, so we recompile the expression
+					 * using a new opcode.
+					 */
+					if (opcode == EEOP_AGG_PLAIN_TRANS_BYVAL_SPILLED ||
+						opcode == EEOP_AGG_PLAIN_TRANS_SPILLED)
+					{
+						LLVMBasicBlockRef b_advance_transval = l_bb_before_v(
+							opblocks[opno + 1], "op.%d.advance_transval", opno);
+
+						LLVMBuildCondBr(
+							b,
+							LLVMBuildICmp(b, LLVMIntEQ,
+										  LLVMBuildPtrToInt(b, v_pergroup_allaggs,
+															TypeSizeT, ""),
+										  l_sizet_const(0), ""),
+							opblocks[opno + 1],
+							b_advance_transval);
+
+						LLVMPositionBuilderAtEnd(b, b_advance_transval);
+					}
+
+					v_pergroupp = LLVMBuildGEP(b, v_pergroup_allaggs, &v_transno, 1, "");
 
 					v_fcinfo = l_ptr_const(fcinfo,
 										   l_ptr(StructFunctionCallInfoData));
diff --git a/src/backend/optimizer/path/costsize.c b/src/backend/optimizer/path/costsize.c
index b5a0033721f..8d58780bf6a 100644
--- a/src/backend/optimizer/path/costsize.c
+++ b/src/backend/optimizer/path/costsize.c
@@ -77,6 +77,7 @@
 #include "access/htup_details.h"
 #include "access/tsmapi.h"
 #include "executor/executor.h"
+#include "executor/nodeAgg.h"
 #include "executor/nodeHash.h"
 #include "miscadmin.h"
 #include "nodes/makefuncs.h"
@@ -128,6 +129,7 @@ bool		enable_bitmapscan = true;
 bool		enable_tidscan = true;
 bool		enable_sort = true;
 bool		enable_hashagg = true;
+bool		enable_hashagg_spill = true;
 bool		enable_nestloop = true;
 bool		enable_material = true;
 bool		enable_mergejoin = true;
@@ -2153,7 +2155,7 @@ cost_agg(Path *path, PlannerInfo *root,
 		 int numGroupCols, double numGroups,
 		 List *quals,
 		 Cost input_startup_cost, Cost input_total_cost,
-		 double input_tuples)
+		 double input_tuples, double input_width)
 {
 	double		output_tuples;
 	Cost		startup_cost;
@@ -2219,21 +2221,88 @@ cost_agg(Path *path, PlannerInfo *root,
 		total_cost += aggcosts->finalCost.per_tuple * numGroups;
 		total_cost += cpu_tuple_cost * numGroups;
 		output_tuples = numGroups;
+
+		/*
+		 * We don't need to compute the disk costs of hash aggregation here,
+		 * because the planner does not choose hash aggregation for grouping
+		 * sets that it doesn't expect to fit in memory.
+		 */
 	}
 	else
 	{
+		double	pages_written = 0.0;
+		double	pages_read	  = 0.0;
+		double	hashentrysize;
+		double	nbatches;
+		Size	mem_limit;
+		long	ngroups_limit;
+		int		num_partitions;
+
 		/* must be AGG_HASHED */
 		startup_cost = input_total_cost;
 		if (!enable_hashagg)
 			startup_cost += disable_cost;
 		startup_cost += aggcosts->transCost.startup;
 		startup_cost += aggcosts->transCost.per_tuple * input_tuples;
+		/* cost of computing hash value */
 		startup_cost += (cpu_operator_cost * numGroupCols) * input_tuples;
 		startup_cost += aggcosts->finalCost.startup;
+
 		total_cost = startup_cost;
 		total_cost += aggcosts->finalCost.per_tuple * numGroups;
+		/* cost of retrieving from hash table */
 		total_cost += cpu_tuple_cost * numGroups;
 		output_tuples = numGroups;
+
+		/*
+		 * Estimate number of batches based on the computed limits. If less
+		 * than or equal to one, all groups are expected to fit in memory;
+		 * otherwise we expect to spill.
+		 */
+		hashentrysize = hash_agg_entry_size(
+			aggcosts->numAggs, input_width, aggcosts->transitionSpace);
+		hash_agg_set_limits(hashentrysize, numGroups, 0, &mem_limit,
+							&ngroups_limit, &num_partitions);
+
+		nbatches = Max( (numGroups * hashentrysize) / mem_limit,
+						numGroups / ngroups_limit );
+
+		/*
+		 * Estimate number of pages read and written. For each level of
+		 * recursion, a tuple must be written and then later read.
+		 */
+		if (!hashagg_mem_overflow && nbatches > 1.0)
+		{
+			double depth;
+			double pages;
+
+			pages = relation_byte_size(input_tuples, input_width) / BLCKSZ;
+
+			/*
+			 * The number of partitions can change at different levels of
+			 * recursion; but for the purposes of this calculation assume it
+			 * stays constant.
+			 */
+			depth = ceil( log(nbatches - 1) / log(num_partitions) );
+			pages_written = pages_read = pages * depth;
+		}
+
+		/*
+		 * Add the disk costs of hash aggregation that spills to disk.
+		 *
+		 * Groups that go into the hash table stay in memory until finalized,
+		 * so spilling and reprocessing tuples doesn't incur additional
+		 * invocations of transCost or finalCost. Furthermore, the computed
+		 * hash value is stored with the spilled tuples, so we don't incur
+		 * extra invocations of the hash function.
+		 *
+		 * Hash Agg begins returning tuples after the first batch is
+		 * complete. Accrue writes (spilled tuples) to startup_cost and to
+		 * total_cost; accrue reads only to total_cost.
+		 */
+		startup_cost += pages_written * random_page_cost;
+		total_cost += pages_written * random_page_cost;
+		total_cost += pages_read * seq_page_cost;
 	}
 
 	/*
diff --git a/src/backend/optimizer/plan/createplan.c b/src/backend/optimizer/plan/createplan.c
index e048d200bb4..090919e39a0 100644
--- a/src/backend/optimizer/plan/createplan.c
+++ b/src/backend/optimizer/plan/createplan.c
@@ -1644,6 +1644,7 @@ create_unique_plan(PlannerInfo *root, UniquePath *best_path, int flags)
 								 NIL,
 								 NIL,
 								 best_path->path.rows,
+								 0,
 								 subplan);
 	}
 	else
@@ -2096,6 +2097,7 @@ create_agg_plan(PlannerInfo *root, AggPath *best_path)
 					NIL,
 					NIL,
 					best_path->numGroups,
+					best_path->transitionSpace,
 					subplan);
 
 	copy_generic_path_info(&plan->plan, (Path *) best_path);
@@ -2257,6 +2259,7 @@ create_groupingsets_plan(PlannerInfo *root, GroupingSetsPath *best_path)
 										 rollup->gsets,
 										 NIL,
 										 rollup->numGroups,
+										 best_path->transitionSpace,
 										 sort_plan);
 
 			/*
@@ -2295,6 +2298,7 @@ create_groupingsets_plan(PlannerInfo *root, GroupingSetsPath *best_path)
 						rollup->gsets,
 						chain,
 						rollup->numGroups,
+						best_path->transitionSpace,
 						subplan);
 
 		/* Copy cost data from Path to Plan */
@@ -6192,8 +6196,8 @@ Agg *
 make_agg(List *tlist, List *qual,
 		 AggStrategy aggstrategy, AggSplit aggsplit,
 		 int numGroupCols, AttrNumber *grpColIdx, Oid *grpOperators, Oid *grpCollations,
-		 List *groupingSets, List *chain,
-		 double dNumGroups, Plan *lefttree)
+		 List *groupingSets, List *chain, double dNumGroups,
+		 int32 transitionSpace, Plan *lefttree)
 {
 	Agg		   *node = makeNode(Agg);
 	Plan	   *plan = &node->plan;
@@ -6209,6 +6213,7 @@ make_agg(List *tlist, List *qual,
 	node->grpOperators = grpOperators;
 	node->grpCollations = grpCollations;
 	node->numGroups = numGroups;
+	node->transitionSpace = transitionSpace;
 	node->aggParams = NULL;		/* SS_finalize_plan() will fill this */
 	node->groupingSets = groupingSets;
 	node->chain = chain;
diff --git a/src/backend/optimizer/plan/planner.c b/src/backend/optimizer/plan/planner.c
index b44efd6314c..913ad9335e5 100644
--- a/src/backend/optimizer/plan/planner.c
+++ b/src/backend/optimizer/plan/planner.c
@@ -6528,7 +6528,8 @@ add_paths_to_grouping_rel(PlannerInfo *root, RelOptInfo *input_rel,
 			 * were unable to sort above, then we'd better generate a Path, so
 			 * that we at least have one.
 			 */
-			if (hashaggtablesize < work_mem * 1024L ||
+			if (enable_hashagg_spill ||
+				hashaggtablesize < work_mem * 1024L ||
 				grouped_rel->pathlist == NIL)
 			{
 				/*
@@ -6561,7 +6562,8 @@ add_paths_to_grouping_rel(PlannerInfo *root, RelOptInfo *input_rel,
 														  agg_final_costs,
 														  dNumGroups);
 
-			if (hashaggtablesize < work_mem * 1024L)
+			if (enable_hashagg_spill ||
+				hashaggtablesize < work_mem * 1024L)
 				add_path(grouped_rel, (Path *)
 						 create_agg_path(root,
 										 grouped_rel,
@@ -6830,7 +6832,7 @@ create_partial_grouping_paths(PlannerInfo *root,
 		 * Tentatively produce a partial HashAgg Path, depending on if it
 		 * looks as if the hash table will fit in work_mem.
 		 */
-		if (hashaggtablesize < work_mem * 1024L &&
+		if ((enable_hashagg_spill || hashaggtablesize < work_mem * 1024L) &&
 			cheapest_total_path != NULL)
 		{
 			add_path(partially_grouped_rel, (Path *)
@@ -6857,7 +6859,7 @@ create_partial_grouping_paths(PlannerInfo *root,
 									   dNumPartialPartialGroups);
 
 		/* Do the same for partial paths. */
-		if (hashaggtablesize < work_mem * 1024L &&
+		if ((enable_hashagg_spill || hashaggtablesize < work_mem * 1024L) &&
 			cheapest_partial_path != NULL)
 		{
 			add_partial_path(partially_grouped_rel, (Path *)
diff --git a/src/backend/optimizer/prep/prepunion.c b/src/backend/optimizer/prep/prepunion.c
index 1a23e18970d..951aed80e7a 100644
--- a/src/backend/optimizer/prep/prepunion.c
+++ b/src/backend/optimizer/prep/prepunion.c
@@ -1072,7 +1072,7 @@ choose_hashed_setop(PlannerInfo *root, List *groupClauses,
 			 numGroupCols, dNumGroups,
 			 NIL,
 			 input_path->startup_cost, input_path->total_cost,
-			 input_path->rows);
+			 input_path->rows, input_path->pathtarget->width);
 
 	/*
 	 * Now for the sorted case.  Note that the input is *always* unsorted,
diff --git a/src/backend/optimizer/util/pathnode.c b/src/backend/optimizer/util/pathnode.c
index e6d08aede56..8ba8122ee2f 100644
--- a/src/backend/optimizer/util/pathnode.c
+++ b/src/backend/optimizer/util/pathnode.c
@@ -1704,7 +1704,8 @@ create_unique_path(PlannerInfo *root, RelOptInfo *rel, Path *subpath,
 					 NIL,
 					 subpath->startup_cost,
 					 subpath->total_cost,
-					 rel->rows);
+					 rel->rows,
+					 subpath->pathtarget->width);
 	}
 
 	if (sjinfo->semi_can_btree && sjinfo->semi_can_hash)
@@ -2949,6 +2950,7 @@ create_agg_path(PlannerInfo *root,
 	pathnode->aggstrategy = aggstrategy;
 	pathnode->aggsplit = aggsplit;
 	pathnode->numGroups = numGroups;
+	pathnode->transitionSpace = aggcosts ? aggcosts->transitionSpace : 0;
 	pathnode->groupClause = groupClause;
 	pathnode->qual = qual;
 
@@ -2957,7 +2959,7 @@ create_agg_path(PlannerInfo *root,
 			 list_length(groupClause), numGroups,
 			 qual,
 			 subpath->startup_cost, subpath->total_cost,
-			 subpath->rows);
+			 subpath->rows, subpath->pathtarget->width);
 
 	/* add tlist eval cost for each output row */
 	pathnode->path.startup_cost += target->cost.startup;
@@ -3036,6 +3038,7 @@ create_groupingsets_path(PlannerInfo *root,
 	pathnode->aggstrategy = aggstrategy;
 	pathnode->rollups = rollups;
 	pathnode->qual = having_qual;
+	pathnode->transitionSpace = agg_costs ? agg_costs->transitionSpace : 0;
 
 	Assert(rollups != NIL);
 	Assert(aggstrategy != AGG_PLAIN || list_length(rollups) == 1);
@@ -3067,7 +3070,8 @@ create_groupingsets_path(PlannerInfo *root,
 					 having_qual,
 					 subpath->startup_cost,
 					 subpath->total_cost,
-					 subpath->rows);
+					 subpath->rows,
+					 subpath->pathtarget->width);
 			is_first = false;
 			if (!rollup->is_hashed)
 				is_first_sort = false;
@@ -3090,7 +3094,8 @@ create_groupingsets_path(PlannerInfo *root,
 						 rollup->numGroups,
 						 having_qual,
 						 0.0, 0.0,
-						 subpath->rows);
+						 subpath->rows,
+						 subpath->pathtarget->width);
 				if (!rollup->is_hashed)
 					is_first_sort = false;
 			}
@@ -3115,7 +3120,8 @@ create_groupingsets_path(PlannerInfo *root,
 						 having_qual,
 						 sort_path.startup_cost,
 						 sort_path.total_cost,
-						 sort_path.rows);
+						 sort_path.rows,
+						 subpath->pathtarget->width);
 			}
 
 			pathnode->path.total_cost += agg_path.total_cost;
diff --git a/src/backend/utils/init/globals.c b/src/backend/utils/init/globals.c
index eb196444198..1151b807418 100644
--- a/src/backend/utils/init/globals.c
+++ b/src/backend/utils/init/globals.c
@@ -120,6 +120,7 @@ bool		enableFsync = true;
 bool		allowSystemTableMods = false;
 int			work_mem = 1024;
 int			maintenance_work_mem = 16384;
+bool		hashagg_mem_overflow = false;
 int			max_parallel_maintenance_workers = 2;
 
 /*
diff --git a/src/backend/utils/misc/guc.c b/src/backend/utils/misc/guc.c
index 8228e1f3903..ed6737a8ac9 100644
--- a/src/backend/utils/misc/guc.c
+++ b/src/backend/utils/misc/guc.c
@@ -998,6 +998,26 @@ static struct config_bool ConfigureNamesBool[] =
 		true,
 		NULL, NULL, NULL
 	},
+	{
+		{"enable_hashagg_spill", PGC_USERSET, QUERY_TUNING_METHOD,
+			gettext_noop("Enables the planner's use of hashed aggregation plans that are expected to exceed work_mem."),
+			NULL,
+			GUC_EXPLAIN
+		},
+		&enable_hashagg_spill,
+		true,
+		NULL, NULL, NULL
+	},
+	{
+		{"hashagg_mem_overflow", PGC_USERSET, QUERY_TUNING_METHOD,
+			gettext_noop("Enables hashed aggregation to overflow work_mem at execution time."),
+			NULL,
+			GUC_EXPLAIN
+		},
+		&hashagg_mem_overflow,
+		false,
+		NULL, NULL, NULL
+	},
 	{
 		{"enable_material", PGC_USERSET, QUERY_TUNING_METHOD,
 			gettext_noop("Enables the planner's use of materialization."),
diff --git a/src/backend/utils/sort/logtape.c b/src/backend/utils/sort/logtape.c
index 4f78b55fbaf..36104a73a75 100644
--- a/src/backend/utils/sort/logtape.c
+++ b/src/backend/utils/sort/logtape.c
@@ -201,6 +201,7 @@ static long ltsGetFreeBlock(LogicalTapeSet *lts);
 static void ltsReleaseBlock(LogicalTapeSet *lts, long blocknum);
 static void ltsConcatWorkerTapes(LogicalTapeSet *lts, TapeShare *shared,
 								 SharedFileSet *fileset);
+static void ltsInitTape(LogicalTape *lt);
 static void ltsInitReadBuffer(LogicalTapeSet *lts, LogicalTape *lt);
 
 
@@ -536,6 +537,30 @@ ltsConcatWorkerTapes(LogicalTapeSet *lts, TapeShare *shared,
 	lts->nHoleBlocks = lts->nBlocksAllocated - nphysicalblocks;
 }
 
+/*
+ * Initialize per-tape struct.  Note we allocate the I/O buffer and the first
+ * block for a tape only when it is first actually written to.  This avoids
+ * wasting memory space when tuplesort.c overestimates the number of tapes
+ * needed.
+ */
+static void
+ltsInitTape(LogicalTape *lt)
+{
+	lt->writing           = true;
+	lt->frozen            = false;
+	lt->dirty             = false;
+	lt->firstBlockNumber  = -1L;
+	lt->curBlockNumber    = -1L;
+	lt->nextBlockNumber   = -1L;
+	lt->offsetBlockNumber = 0L;
+	lt->buffer            = NULL;
+	lt->buffer_size       = 0;
+	/* palloc() larger than MaxAllocSize would fail */
+	lt->max_size          = MaxAllocSize;
+	lt->pos               = 0;
+	lt->nbytes            = 0;
+}
+
 /*
  * Lazily allocate and initialize the read buffer. This avoids waste when many
  * tapes are open at once, but not all are active between rewinding and
@@ -579,7 +604,6 @@ LogicalTapeSetCreate(int ntapes, TapeShare *shared, SharedFileSet *fileset,
 					 int worker)
 {
 	LogicalTapeSet *lts;
-	LogicalTape *lt;
 	int			i;
 
 	/*
@@ -597,29 +621,8 @@ LogicalTapeSetCreate(int ntapes, TapeShare *shared, SharedFileSet *fileset,
 	lts->nFreeBlocks = 0;
 	lts->nTapes = ntapes;
 
-	/*
-	 * Initialize per-tape structs.  Note we allocate the I/O buffer and the
-	 * first block for a tape only when it is first actually written to.  This
-	 * avoids wasting memory space when tuplesort.c overestimates the number
-	 * of tapes needed.
-	 */
 	for (i = 0; i < ntapes; i++)
-	{
-		lt = &lts->tapes[i];
-		lt->writing = true;
-		lt->frozen = false;
-		lt->dirty = false;
-		lt->firstBlockNumber = -1L;
-		lt->curBlockNumber = -1L;
-		lt->nextBlockNumber = -1L;
-		lt->offsetBlockNumber = 0L;
-		lt->buffer = NULL;
-		lt->buffer_size = 0;
-		/* palloc() larger than MaxAllocSize would fail */
-		lt->max_size = MaxAllocSize;
-		lt->pos = 0;
-		lt->nbytes = 0;
-	}
+		ltsInitTape(&lts->tapes[i]);
 
 	/*
 	 * Create temp BufFile storage as required.
@@ -1004,6 +1007,29 @@ LogicalTapeFreeze(LogicalTapeSet *lts, int tapenum, TapeShare *share)
 	}
 }
 
+/*
+ * Add additional tapes to this tape set. Not intended to be used when any
+ * tapes are frozen.
+ */
+LogicalTapeSet *
+LogicalTapeSetExtend(LogicalTapeSet *lts, int nAdditional)
+{
+	int     i;
+	int		nTapesOrig = lts->nTapes;
+	Size	newSize;
+
+	lts->nTapes += nAdditional;
+	newSize = offsetof(LogicalTapeSet, tapes) +
+		lts->nTapes * sizeof(LogicalTape);
+
+	lts = (LogicalTapeSet *) repalloc(lts, newSize);
+
+	for (i = nTapesOrig; i < lts->nTapes; i++)
+		ltsInitTape(&lts->tapes[i]);
+
+	return lts;
+}
+
 /*
  * Backspace the tape a given number of bytes.  (We also support a more
  * general seek interface, see below.)
diff --git a/src/include/executor/execExpr.h b/src/include/executor/execExpr.h
index 73a2ca8c6dd..d70bc048c46 100644
--- a/src/include/executor/execExpr.h
+++ b/src/include/executor/execExpr.h
@@ -226,9 +226,13 @@ typedef enum ExprEvalOp
 	EEOP_AGG_STRICT_INPUT_CHECK_ARGS,
 	EEOP_AGG_STRICT_INPUT_CHECK_NULLS,
 	EEOP_AGG_INIT_TRANS,
+	EEOP_AGG_INIT_TRANS_SPILLED,
 	EEOP_AGG_STRICT_TRANS_CHECK,
+	EEOP_AGG_STRICT_TRANS_CHECK_SPILLED,
 	EEOP_AGG_PLAIN_TRANS_BYVAL,
+	EEOP_AGG_PLAIN_TRANS_BYVAL_SPILLED,
 	EEOP_AGG_PLAIN_TRANS,
+	EEOP_AGG_PLAIN_TRANS_SPILLED,
 	EEOP_AGG_ORDERED_TRANS_DATUM,
 	EEOP_AGG_ORDERED_TRANS_TUPLE,
 
diff --git a/src/include/executor/executor.h b/src/include/executor/executor.h
index 81fdfa4add3..d6eb2abb60b 100644
--- a/src/include/executor/executor.h
+++ b/src/include/executor/executor.h
@@ -255,7 +255,7 @@ extern ExprState *ExecInitQual(List *qual, PlanState *parent);
 extern ExprState *ExecInitCheck(List *qual, PlanState *parent);
 extern List *ExecInitExprList(List *nodes, PlanState *parent);
 extern ExprState *ExecBuildAggTrans(AggState *aggstate, struct AggStatePerPhaseData *phase,
-									bool doSort, bool doHash);
+									bool doSort, bool doHash, bool spilled);
 extern ExprState *ExecBuildGroupingEqual(TupleDesc ldesc, TupleDesc rdesc,
 										 const TupleTableSlotOps *lops, const TupleTableSlotOps *rops,
 										 int numCols,
diff --git a/src/include/executor/nodeAgg.h b/src/include/executor/nodeAgg.h
index 264916f9a92..307987a45ab 100644
--- a/src/include/executor/nodeAgg.h
+++ b/src/include/executor/nodeAgg.h
@@ -311,5 +311,8 @@ extern void ExecReScanAgg(AggState *node);
 
 extern Size hash_agg_entry_size(int numAggs, Size tupleWidth,
 								Size transitionSpace);
+extern void hash_agg_set_limits(double hashentrysize, uint64 input_groups,
+								int used_bits, Size *mem_limit,
+								long *ngroups_limit, int *num_partitions);
 
 #endif							/* NODEAGG_H */
diff --git a/src/include/miscadmin.h b/src/include/miscadmin.h
index f985453ec32..707a07a2de4 100644
--- a/src/include/miscadmin.h
+++ b/src/include/miscadmin.h
@@ -244,6 +244,7 @@ extern bool enableFsync;
 extern PGDLLIMPORT bool allowSystemTableMods;
 extern PGDLLIMPORT int work_mem;
 extern PGDLLIMPORT int maintenance_work_mem;
+extern PGDLLIMPORT bool hashagg_mem_overflow;
 extern PGDLLIMPORT int max_parallel_maintenance_workers;
 
 extern int	VacuumCostPageHit;
diff --git a/src/include/nodes/execnodes.h b/src/include/nodes/execnodes.h
index cd3ddf781f1..19b9cef42f6 100644
--- a/src/include/nodes/execnodes.h
+++ b/src/include/nodes/execnodes.h
@@ -2078,13 +2078,32 @@ typedef struct AggState
 	HeapTuple	grp_firstTuple; /* copy of first tuple of current group */
 	/* these fields are used in AGG_HASHED and AGG_MIXED modes: */
 	bool		table_filled;	/* hash table filled yet? */
-	int			num_hashes;
+	int			num_hashes;		/* number of hash tables active at once */
+	double		hashentrysize;	/* estimate revised during execution */
+	struct HashTapeInfo *hash_tapeinfo; /* metadata for spill tapes */
+	struct HashAggSpill *hash_spills; /* HashAggSpill for each hash table,
+										 exists only during first pass if spilled */
+	TupleTableSlot *hash_spill_slot; /* slot for reading from spill files */
+	bool		hash_ever_spilled;	/* ever spilled during this execution? */
+	bool		hash_spill_mode;	/* we hit a limit during the current batch
+									   and we must not create new groups */
+	Size		hash_alloc_last;    /* previous total memory allocation */
+	Size		hash_alloc_current; /* current total memory allocation */
+	Size		hash_mem_limit;	/* limit before spilling hash table */
+	Size		hash_mem_peak;	/* peak hash table memory usage */
+	long		hash_ngroups_current;	/* number of groups currently in
+										   memory in all hash tables */
+	long		hash_ngroups_limit;	/* limit before spilling hash table */
+	long		hash_disk_used; /* kB of disk space used */
+	int			hash_batches_used;	/* batches used during entire execution */
+	List	   *hash_batches;	/* hash batches remaining to be processed */
+
 	AggStatePerHash perhash;	/* array of per-hashtable data */
 	AggStatePerGroup *hash_pergroup;	/* grouping set indexed array of
 										 * per-group pointers */
 
 	/* support for evaluation of agg input expressions: */
-#define FIELDNO_AGGSTATE_ALL_PERGROUPS 34
+#define FIELDNO_AGGSTATE_ALL_PERGROUPS 49
 	AggStatePerGroup *all_pergroups;	/* array of first ->pergroups, than
 										 * ->hash_pergroup */
 	ProjectionInfo *combinedproj;	/* projection machinery */
diff --git a/src/include/nodes/pathnodes.h b/src/include/nodes/pathnodes.h
index 3d3be197e0e..be592d0fee4 100644
--- a/src/include/nodes/pathnodes.h
+++ b/src/include/nodes/pathnodes.h
@@ -1663,6 +1663,7 @@ typedef struct AggPath
 	AggStrategy aggstrategy;	/* basic strategy, see nodes.h */
 	AggSplit	aggsplit;		/* agg-splitting mode, see nodes.h */
 	double		numGroups;		/* estimated number of groups in input */
+	int32		transitionSpace;	/* estimated transition state size */
 	List	   *groupClause;	/* a list of SortGroupClause's */
 	List	   *qual;			/* quals (HAVING quals), if any */
 } AggPath;
@@ -1700,6 +1701,7 @@ typedef struct GroupingSetsPath
 	AggStrategy aggstrategy;	/* basic strategy */
 	List	   *rollups;		/* list of RollupData */
 	List	   *qual;			/* quals (HAVING quals), if any */
+	int32		transitionSpace;	/* estimated transition state size */
 } GroupingSetsPath;
 
 /*
diff --git a/src/include/nodes/plannodes.h b/src/include/nodes/plannodes.h
index 32c0d87f80e..f4183e1efa5 100644
--- a/src/include/nodes/plannodes.h
+++ b/src/include/nodes/plannodes.h
@@ -813,6 +813,7 @@ typedef struct Agg
 	Oid		   *grpOperators;	/* equality operators to compare with */
 	Oid		   *grpCollations;
 	long		numGroups;		/* estimated number of groups in input */
+	int32		transitionSpace;	/* estimated transition state size */
 	Bitmapset  *aggParams;		/* IDs of Params used in Aggref inputs */
 	/* Note: planner provides numGroups & aggParams only in HASHED/MIXED case */
 	List	   *groupingSets;	/* grouping sets to use */
diff --git a/src/include/optimizer/cost.h b/src/include/optimizer/cost.h
index cb012ba1980..6572dc24699 100644
--- a/src/include/optimizer/cost.h
+++ b/src/include/optimizer/cost.h
@@ -54,6 +54,7 @@ extern PGDLLIMPORT bool enable_bitmapscan;
 extern PGDLLIMPORT bool enable_tidscan;
 extern PGDLLIMPORT bool enable_sort;
 extern PGDLLIMPORT bool enable_hashagg;
+extern PGDLLIMPORT bool enable_hashagg_spill;
 extern PGDLLIMPORT bool enable_nestloop;
 extern PGDLLIMPORT bool enable_material;
 extern PGDLLIMPORT bool enable_mergejoin;
@@ -114,7 +115,7 @@ extern void cost_agg(Path *path, PlannerInfo *root,
 					 int numGroupCols, double numGroups,
 					 List *quals,
 					 Cost input_startup_cost, Cost input_total_cost,
-					 double input_tuples);
+					 double input_tuples, double input_width);
 extern void cost_windowagg(Path *path, PlannerInfo *root,
 						   List *windowFuncs, int numPartCols, int numOrderCols,
 						   Cost input_startup_cost, Cost input_total_cost,
diff --git a/src/include/optimizer/planmain.h b/src/include/optimizer/planmain.h
index eab486a6214..c7bda2b0917 100644
--- a/src/include/optimizer/planmain.h
+++ b/src/include/optimizer/planmain.h
@@ -54,8 +54,8 @@ extern Sort *make_sort_from_sortclauses(List *sortcls, Plan *lefttree);
 extern Agg *make_agg(List *tlist, List *qual,
 					 AggStrategy aggstrategy, AggSplit aggsplit,
 					 int numGroupCols, AttrNumber *grpColIdx, Oid *grpOperators, Oid *grpCollations,
-					 List *groupingSets, List *chain,
-					 double dNumGroups, Plan *lefttree);
+					 List *groupingSets, List *chain, double dNumGroups,
+					 int32 transitionSpace, Plan *lefttree);
 extern Limit *make_limit(Plan *lefttree, Node *limitOffset, Node *limitCount);
 
 /*
diff --git a/src/include/utils/logtape.h b/src/include/utils/logtape.h
index 695d2c00ee4..3ebe52239f8 100644
--- a/src/include/utils/logtape.h
+++ b/src/include/utils/logtape.h
@@ -67,6 +67,8 @@ extern void LogicalTapeRewindForRead(LogicalTapeSet *lts, int tapenum,
 extern void LogicalTapeRewindForWrite(LogicalTapeSet *lts, int tapenum);
 extern void LogicalTapeFreeze(LogicalTapeSet *lts, int tapenum,
 							  TapeShare *share);
+extern LogicalTapeSet *LogicalTapeSetExtend(LogicalTapeSet *lts,
+											int nAdditional);
 extern size_t LogicalTapeBackspace(LogicalTapeSet *lts, int tapenum,
 								   size_t size);
 extern void LogicalTapeSeek(LogicalTapeSet *lts, int tapenum,
diff --git a/src/test/regress/expected/aggregates.out b/src/test/regress/expected/aggregates.out
index f457b5b150f..7eeeaaa5e4a 100644
--- a/src/test/regress/expected/aggregates.out
+++ b/src/test/regress/expected/aggregates.out
@@ -2357,3 +2357,124 @@ explain (costs off)
                ->  Seq Scan on onek
 (8 rows)
 
+--
+-- Compare results between plans using sorting and plans using hash
+-- aggregation. Force spilling in both cases by setting work_mem low.
+--
+set work_mem='64kB';
+-- Produce results with sorting.
+set enable_hashagg = false;
+set jit_above_cost = 0;
+explain (costs off)
+select g%100000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 199999) g
+  group by g%100000;
+                   QUERY PLAN                   
+------------------------------------------------
+ GroupAggregate
+   Group Key: ((g % 100000))
+   ->  Sort
+         Sort Key: ((g % 100000))
+         ->  Function Scan on generate_series g
+(5 rows)
+
+create table agg_group_1 as
+select g%100000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 199999) g
+  group by g%100000;
+create table agg_group_2 as
+select * from
+  (values (100), (300), (500)) as r(a),
+  lateral (
+    select (g/2)::numeric as c1,
+           array_agg(g::numeric) as c2,
+	   count(*) as c3
+    from generate_series(0, 1999) g
+    where g < r.a
+    group by g/2) as s;
+set jit_above_cost to default;
+create table agg_group_3 as
+select (g/2)::numeric as c1, sum(7::int4) as c2, count(*) as c3
+  from generate_series(0, 1999) g
+  group by g/2;
+create table agg_group_4 as
+select (g/2)::numeric as c1, array_agg(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 1999) g
+  group by g/2;
+-- Produce results with hash aggregation
+set enable_hashagg = true;
+set enable_sort = false;
+set jit_above_cost = 0;
+explain (costs off)
+select g%100000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 199999) g
+  group by g%100000;
+                QUERY PLAN                
+------------------------------------------
+ HashAggregate
+   Group Key: (g % 100000)
+   ->  Function Scan on generate_series g
+(3 rows)
+
+create table agg_hash_1 as
+select g%100000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 199999) g
+  group by g%100000;
+create table agg_hash_2 as
+select * from
+  (values (100), (300), (500)) as r(a),
+  lateral (
+    select (g/2)::numeric as c1,
+           array_agg(g::numeric) as c2,
+	   count(*) as c3
+    from generate_series(0, 1999) g
+    where g < r.a
+    group by g/2) as s;
+set jit_above_cost to default;
+create table agg_hash_3 as
+select (g/2)::numeric as c1, sum(7::int4) as c2, count(*) as c3
+  from generate_series(0, 1999) g
+  group by g/2;
+create table agg_hash_4 as
+select (g/2)::numeric as c1, array_agg(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 1999) g
+  group by g/2;
+set enable_sort = true;
+set work_mem to default;
+-- Compare group aggregation results to hash aggregation results
+(select * from agg_hash_1 except select * from agg_group_1)
+  union all
+(select * from agg_group_1 except select * from agg_hash_1);
+ c1 | c2 | c3 
+----+----+----
+(0 rows)
+
+(select * from agg_hash_2 except select * from agg_group_2)
+  union all
+(select * from agg_group_2 except select * from agg_hash_2);
+ a | c1 | c2 | c3 
+---+----+----+----
+(0 rows)
+
+(select * from agg_hash_3 except select * from agg_group_3)
+  union all
+(select * from agg_group_3 except select * from agg_hash_3);
+ c1 | c2 | c3 
+----+----+----
+(0 rows)
+
+(select * from agg_hash_4 except select * from agg_group_4)
+  union all
+(select * from agg_group_4 except select * from agg_hash_4);
+ c1 | c2 | c3 
+----+----+----
+(0 rows)
+
+drop table agg_group_1;
+drop table agg_group_2;
+drop table agg_group_3;
+drop table agg_group_4;
+drop table agg_hash_1;
+drop table agg_hash_2;
+drop table agg_hash_3;
+drop table agg_hash_4;
diff --git a/src/test/regress/expected/groupingsets.out b/src/test/regress/expected/groupingsets.out
index c1f802c88a7..767f60a96c7 100644
--- a/src/test/regress/expected/groupingsets.out
+++ b/src/test/regress/expected/groupingsets.out
@@ -1633,4 +1633,127 @@ select v||'a', case when grouping(v||'a') = 1 then 1 else 0 end, count(*)
           |    1 |     2
 (4 rows)
 
+--
+-- Compare results between plans using sorting and plans using hash
+-- aggregation. Force spilling in both cases by setting work_mem low.
+--
+SET work_mem='64kB';
+-- Produce results with sorting.
+set enable_hashagg = false;
+set jit_above_cost = 0;
+explain (costs off)
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g%1000 as g1000, g%100 as g100, g%10 as g10, g
+   from generate_series(0,199999) g) s
+group by cube (g1000,g100,g10);
+                          QUERY PLAN                           
+---------------------------------------------------------------
+ GroupAggregate
+   Group Key: ((g.g % 1000)), ((g.g % 100)), ((g.g % 10))
+   Group Key: ((g.g % 1000)), ((g.g % 100))
+   Group Key: ((g.g % 1000))
+   Group Key: ()
+   Sort Key: ((g.g % 100)), ((g.g % 10))
+     Group Key: ((g.g % 100)), ((g.g % 10))
+     Group Key: ((g.g % 100))
+   Sort Key: ((g.g % 10)), ((g.g % 1000))
+     Group Key: ((g.g % 10)), ((g.g % 1000))
+     Group Key: ((g.g % 10))
+   ->  Sort
+         Sort Key: ((g.g % 1000)), ((g.g % 100)), ((g.g % 10))
+         ->  Function Scan on generate_series g
+(14 rows)
+
+create table gs_group_1 as
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g%1000 as g1000, g%100 as g100, g%10 as g10, g
+   from generate_series(0,199999) g) s
+group by cube (g1000,g100,g10);
+set jit_above_cost to default;
+create table gs_group_2 as
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g/20 as g1000, g/200 as g100, g/2000 as g10, g
+   from generate_series(0,19999) g) s
+group by cube (g1000,g100,g10);
+create table gs_group_3 as
+select g100, g10, array_agg(g) as a, count(*) as c, max(g::text) as m from
+  (select g/200 as g100, g/2000 as g10, g
+   from generate_series(0,19999) g) s
+group by grouping sets (g100,g10);
+-- Produce results with hash aggregation.
+set enable_hashagg = true;
+set enable_sort = false;
+set work_mem='64kB';
+set jit_above_cost = 0;
+explain (costs off)
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g%1000 as g1000, g%100 as g100, g%10 as g10, g
+   from generate_series(0,199999) g) s
+group by cube (g1000,g100,g10);
+                          QUERY PLAN                           
+---------------------------------------------------------------
+ GroupAggregate
+   Group Key: ((g.g % 1000)), ((g.g % 100)), ((g.g % 10))
+   Group Key: ((g.g % 1000)), ((g.g % 100))
+   Group Key: ((g.g % 1000))
+   Group Key: ()
+   Sort Key: ((g.g % 100)), ((g.g % 10))
+     Group Key: ((g.g % 100)), ((g.g % 10))
+     Group Key: ((g.g % 100))
+   Sort Key: ((g.g % 10)), ((g.g % 1000))
+     Group Key: ((g.g % 10)), ((g.g % 1000))
+     Group Key: ((g.g % 10))
+   ->  Sort
+         Sort Key: ((g.g % 1000)), ((g.g % 100)), ((g.g % 10))
+         ->  Function Scan on generate_series g
+(14 rows)
+
+create table gs_hash_1 as
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g%1000 as g1000, g%100 as g100, g%10 as g10, g
+   from generate_series(0,199999) g) s
+group by cube (g1000,g100,g10);
+set jit_above_cost to default;
+create table gs_hash_2 as
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g/20 as g1000, g/200 as g100, g/2000 as g10, g
+   from generate_series(0,19999) g) s
+group by cube (g1000,g100,g10);
+create table gs_hash_3 as
+select g100, g10, array_agg(g) as a, count(*) as c, max(g::text) as m from
+  (select g/200 as g100, g/2000 as g10, g
+   from generate_series(0,19999) g) s
+group by grouping sets (g100,g10);
+set enable_sort = true;
+set work_mem to default;
+-- Compare results
+(select * from gs_hash_1 except select * from gs_group_1)
+  union all
+(select * from gs_group_1 except select * from gs_hash_1);
+ g1000 | g100 | g10 | sum | count | max 
+-------+------+-----+-----+-------+-----
+(0 rows)
+
+(select * from gs_hash_2 except select * from gs_group_2)
+  union all
+(select * from gs_group_2 except select * from gs_hash_2);
+ g1000 | g100 | g10 | sum | count | max 
+-------+------+-----+-----+-------+-----
+(0 rows)
+
+(select g100,g10,unnest(a),c,m from gs_hash_3 except
+  select g100,g10,unnest(a),c,m from gs_group_3)
+    union all
+(select g100,g10,unnest(a),c,m from gs_group_3 except
+  select g100,g10,unnest(a),c,m from gs_hash_3);
+ g100 | g10 | unnest | c | m 
+------+-----+--------+---+---
+(0 rows)
+
+drop table gs_group_1;
+drop table gs_group_2;
+drop table gs_group_3;
+drop table gs_hash_1;
+drop table gs_hash_2;
+drop table gs_hash_3;
 -- end
diff --git a/src/test/regress/expected/select_distinct.out b/src/test/regress/expected/select_distinct.out
index f3696c6d1de..11c6f50fbfa 100644
--- a/src/test/regress/expected/select_distinct.out
+++ b/src/test/regress/expected/select_distinct.out
@@ -148,6 +148,68 @@ SELECT count(*) FROM
      4
 (1 row)
 
+--
+-- Compare results between plans using sorting and plans using hash
+-- aggregation. Force spilling in both cases by setting work_mem low.
+--
+SET work_mem='64kB';
+-- Produce results with sorting.
+SET enable_hashagg=FALSE;
+SET jit_above_cost=0;
+EXPLAIN (costs off)
+SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
+                   QUERY PLAN                   
+------------------------------------------------
+ Unique
+   ->  Sort
+         Sort Key: ((g % 1000))
+         ->  Function Scan on generate_series g
+(4 rows)
+
+CREATE TABLE distinct_group_1 AS
+SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
+SET jit_above_cost TO DEFAULT;
+CREATE TABLE distinct_group_2 AS
+SELECT DISTINCT (g%1000)::text FROM generate_series(0,9999) g;
+SET enable_hashagg=TRUE;
+-- Produce results with hash aggregation.
+SET enable_sort=FALSE;
+SET jit_above_cost=0;
+EXPLAIN (costs off)
+SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
+                QUERY PLAN                
+------------------------------------------
+ HashAggregate
+   Group Key: (g % 1000)
+   ->  Function Scan on generate_series g
+(3 rows)
+
+CREATE TABLE distinct_hash_1 AS
+SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
+SET jit_above_cost TO DEFAULT;
+CREATE TABLE distinct_hash_2 AS
+SELECT DISTINCT (g%1000)::text FROM generate_series(0,9999) g;
+SET enable_sort=TRUE;
+SET work_mem TO DEFAULT;
+-- Compare results
+(SELECT * FROM distinct_hash_1 EXCEPT SELECT * FROM distinct_group_1)
+  UNION ALL
+(SELECT * FROM distinct_group_1 EXCEPT SELECT * FROM distinct_hash_1);
+ ?column? 
+----------
+(0 rows)
+
+(SELECT * FROM distinct_hash_1 EXCEPT SELECT * FROM distinct_group_1)
+  UNION ALL
+(SELECT * FROM distinct_group_1 EXCEPT SELECT * FROM distinct_hash_1);
+ ?column? 
+----------
+(0 rows)
+
+DROP TABLE distinct_hash_1;
+DROP TABLE distinct_hash_2;
+DROP TABLE distinct_group_1;
+DROP TABLE distinct_group_2;
 --
 -- Also, some tests of IS DISTINCT FROM, which doesn't quite deserve its
 -- very own regression file.
diff --git a/src/test/regress/expected/sysviews.out b/src/test/regress/expected/sysviews.out
index a1c90eb9057..c40bf6c16eb 100644
--- a/src/test/regress/expected/sysviews.out
+++ b/src/test/regress/expected/sysviews.out
@@ -75,6 +75,7 @@ select name, setting from pg_settings where name like 'enable%';
  enable_bitmapscan              | on
  enable_gathermerge             | on
  enable_hashagg                 | on
+ enable_hashagg_spill           | on
  enable_hashjoin                | on
  enable_indexonlyscan           | on
  enable_indexscan               | on
@@ -89,7 +90,7 @@ select name, setting from pg_settings where name like 'enable%';
  enable_seqscan                 | on
  enable_sort                    | on
  enable_tidscan                 | on
-(17 rows)
+(18 rows)
 
 -- Test that the pg_timezone_names and pg_timezone_abbrevs views are
 -- more-or-less working.  We can't test their contents in any great detail
diff --git a/src/test/regress/sql/aggregates.sql b/src/test/regress/sql/aggregates.sql
index 3e593f2d615..a4d476c4bb3 100644
--- a/src/test/regress/sql/aggregates.sql
+++ b/src/test/regress/sql/aggregates.sql
@@ -1032,3 +1032,119 @@ select v||'a', case when v||'a' = 'aa' then 1 else 0 end, count(*)
 explain (costs off)
   select 1 from tenk1
    where (hundred, thousand) in (select twothousand, twothousand from onek);
+
+--
+-- Compare results between plans using sorting and plans using hash
+-- aggregation. Force spilling in both cases by setting work_mem low.
+--
+
+set work_mem='64kB';
+
+-- Produce results with sorting.
+
+set enable_hashagg = false;
+
+set jit_above_cost = 0;
+
+explain (costs off)
+select g%100000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 199999) g
+  group by g%100000;
+
+create table agg_group_1 as
+select g%100000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 199999) g
+  group by g%100000;
+
+create table agg_group_2 as
+select * from
+  (values (100), (300), (500)) as r(a),
+  lateral (
+    select (g/2)::numeric as c1,
+           array_agg(g::numeric) as c2,
+	   count(*) as c3
+    from generate_series(0, 1999) g
+    where g < r.a
+    group by g/2) as s;
+
+set jit_above_cost to default;
+
+create table agg_group_3 as
+select (g/2)::numeric as c1, sum(7::int4) as c2, count(*) as c3
+  from generate_series(0, 1999) g
+  group by g/2;
+
+create table agg_group_4 as
+select (g/2)::numeric as c1, array_agg(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 1999) g
+  group by g/2;
+
+-- Produce results with hash aggregation
+
+set enable_hashagg = true;
+set enable_sort = false;
+
+set jit_above_cost = 0;
+
+explain (costs off)
+select g%100000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 199999) g
+  group by g%100000;
+
+create table agg_hash_1 as
+select g%100000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 199999) g
+  group by g%100000;
+
+create table agg_hash_2 as
+select * from
+  (values (100), (300), (500)) as r(a),
+  lateral (
+    select (g/2)::numeric as c1,
+           array_agg(g::numeric) as c2,
+	   count(*) as c3
+    from generate_series(0, 1999) g
+    where g < r.a
+    group by g/2) as s;
+
+set jit_above_cost to default;
+
+create table agg_hash_3 as
+select (g/2)::numeric as c1, sum(7::int4) as c2, count(*) as c3
+  from generate_series(0, 1999) g
+  group by g/2;
+
+create table agg_hash_4 as
+select (g/2)::numeric as c1, array_agg(g::numeric) as c2, count(*) as c3
+  from generate_series(0, 1999) g
+  group by g/2;
+
+set enable_sort = true;
+set work_mem to default;
+
+-- Compare group aggregation results to hash aggregation results
+
+(select * from agg_hash_1 except select * from agg_group_1)
+  union all
+(select * from agg_group_1 except select * from agg_hash_1);
+
+(select * from agg_hash_2 except select * from agg_group_2)
+  union all
+(select * from agg_group_2 except select * from agg_hash_2);
+
+(select * from agg_hash_3 except select * from agg_group_3)
+  union all
+(select * from agg_group_3 except select * from agg_hash_3);
+
+(select * from agg_hash_4 except select * from agg_group_4)
+  union all
+(select * from agg_group_4 except select * from agg_hash_4);
+
+drop table agg_group_1;
+drop table agg_group_2;
+drop table agg_group_3;
+drop table agg_group_4;
+drop table agg_hash_1;
+drop table agg_hash_2;
+drop table agg_hash_3;
+drop table agg_hash_4;
diff --git a/src/test/regress/sql/groupingsets.sql b/src/test/regress/sql/groupingsets.sql
index 95ac3fb52f6..bf8bce6ed31 100644
--- a/src/test/regress/sql/groupingsets.sql
+++ b/src/test/regress/sql/groupingsets.sql
@@ -441,4 +441,103 @@ select v||'a', case when grouping(v||'a') = 1 then 1 else 0 end, count(*)
   from unnest(array[1,1], array['a','b']) u(i,v)
  group by rollup(i, v||'a') order by 1,3;
 
+--
+-- Compare results between plans using sorting and plans using hash
+-- aggregation. Force spilling in both cases by setting work_mem low.
+--
+
+SET work_mem='64kB';
+
+-- Produce results with sorting.
+
+set enable_hashagg = false;
+
+set jit_above_cost = 0;
+
+explain (costs off)
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g%1000 as g1000, g%100 as g100, g%10 as g10, g
+   from generate_series(0,199999) g) s
+group by cube (g1000,g100,g10);
+
+create table gs_group_1 as
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g%1000 as g1000, g%100 as g100, g%10 as g10, g
+   from generate_series(0,199999) g) s
+group by cube (g1000,g100,g10);
+
+set jit_above_cost to default;
+
+create table gs_group_2 as
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g/20 as g1000, g/200 as g100, g/2000 as g10, g
+   from generate_series(0,19999) g) s
+group by cube (g1000,g100,g10);
+
+create table gs_group_3 as
+select g100, g10, array_agg(g) as a, count(*) as c, max(g::text) as m from
+  (select g/200 as g100, g/2000 as g10, g
+   from generate_series(0,19999) g) s
+group by grouping sets (g100,g10);
+
+-- Produce results with hash aggregation.
+
+set enable_hashagg = true;
+set enable_sort = false;
+set work_mem='64kB';
+
+set jit_above_cost = 0;
+
+explain (costs off)
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g%1000 as g1000, g%100 as g100, g%10 as g10, g
+   from generate_series(0,199999) g) s
+group by cube (g1000,g100,g10);
+
+create table gs_hash_1 as
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g%1000 as g1000, g%100 as g100, g%10 as g10, g
+   from generate_series(0,199999) g) s
+group by cube (g1000,g100,g10);
+
+set jit_above_cost to default;
+
+create table gs_hash_2 as
+select g1000, g100, g10, sum(g::numeric), count(*), max(g::text) from
+  (select g/20 as g1000, g/200 as g100, g/2000 as g10, g
+   from generate_series(0,19999) g) s
+group by cube (g1000,g100,g10);
+
+create table gs_hash_3 as
+select g100, g10, array_agg(g) as a, count(*) as c, max(g::text) as m from
+  (select g/200 as g100, g/2000 as g10, g
+   from generate_series(0,19999) g) s
+group by grouping sets (g100,g10);
+
+set enable_sort = true;
+set work_mem to default;
+
+-- Compare results
+
+(select * from gs_hash_1 except select * from gs_group_1)
+  union all
+(select * from gs_group_1 except select * from gs_hash_1);
+
+(select * from gs_hash_2 except select * from gs_group_2)
+  union all
+(select * from gs_group_2 except select * from gs_hash_2);
+
+(select g100,g10,unnest(a),c,m from gs_hash_3 except
+  select g100,g10,unnest(a),c,m from gs_group_3)
+    union all
+(select g100,g10,unnest(a),c,m from gs_group_3 except
+  select g100,g10,unnest(a),c,m from gs_hash_3);
+
+drop table gs_group_1;
+drop table gs_group_2;
+drop table gs_group_3;
+drop table gs_hash_1;
+drop table gs_hash_2;
+drop table gs_hash_3;
+
 -- end
diff --git a/src/test/regress/sql/select_distinct.sql b/src/test/regress/sql/select_distinct.sql
index a605e86449e..33102744ebf 100644
--- a/src/test/regress/sql/select_distinct.sql
+++ b/src/test/regress/sql/select_distinct.sql
@@ -45,6 +45,68 @@ SELECT count(*) FROM
 SELECT count(*) FROM
   (SELECT DISTINCT two, four, two FROM tenk1) ss;
 
+--
+-- Compare results between plans using sorting and plans using hash
+-- aggregation. Force spilling in both cases by setting work_mem low.
+--
+
+SET work_mem='64kB';
+
+-- Produce results with sorting.
+
+SET enable_hashagg=FALSE;
+
+SET jit_above_cost=0;
+
+EXPLAIN (costs off)
+SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
+
+CREATE TABLE distinct_group_1 AS
+SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
+
+SET jit_above_cost TO DEFAULT;
+
+CREATE TABLE distinct_group_2 AS
+SELECT DISTINCT (g%1000)::text FROM generate_series(0,9999) g;
+
+SET enable_hashagg=TRUE;
+
+-- Produce results with hash aggregation.
+
+SET enable_sort=FALSE;
+
+SET jit_above_cost=0;
+
+EXPLAIN (costs off)
+SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
+
+CREATE TABLE distinct_hash_1 AS
+SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
+
+SET jit_above_cost TO DEFAULT;
+
+CREATE TABLE distinct_hash_2 AS
+SELECT DISTINCT (g%1000)::text FROM generate_series(0,9999) g;
+
+SET enable_sort=TRUE;
+
+SET work_mem TO DEFAULT;
+
+-- Compare results
+
+(SELECT * FROM distinct_hash_1 EXCEPT SELECT * FROM distinct_group_1)
+  UNION ALL
+(SELECT * FROM distinct_group_1 EXCEPT SELECT * FROM distinct_hash_1);
+
+(SELECT * FROM distinct_hash_1 EXCEPT SELECT * FROM distinct_group_1)
+  UNION ALL
+(SELECT * FROM distinct_group_1 EXCEPT SELECT * FROM distinct_hash_1);
+
+DROP TABLE distinct_hash_1;
+DROP TABLE distinct_hash_2;
+DROP TABLE distinct_group_1;
+DROP TABLE distinct_group_2;
+
 --
 -- Also, some tests of IS DISTINCT FROM, which doesn't quite deserve its
 -- very own regression file.

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