exec: add "auto" vectorize setting and make it default

docs/generated/settings/settings.html

@@ -84,11 +84,11 @@
 <tr><td><code>server.web_session_timeout</code></td><td>duration</td><td><code>168h0m0s</code></td><td>the duration that a newly created web session will be valid</td></tr>
 <tr><td><code>sql.defaults.default_int_size</code></td><td>integer</td><td><code>8</code></td><td>the size, in bytes, of an INT type</td></tr>
 <tr><td><code>sql.defaults.distsql</code></td><td>enumeration</td><td><code>auto</code></td><td>default distributed SQL execution mode [off = 0, auto = 1, on = 2]</td></tr>
-<tr><td><code>sql.defaults.experimental_vectorize</code></td><td>enumeration</td><td><code>off</code></td><td>default experimental_vectorize mode [off = 0, on = 1, always = 2]</td></tr>
 <tr><td><code>sql.defaults.optimizer</code></td><td>enumeration</td><td><code>on</code></td><td>default cost-based optimizer mode [off = 0, on = 1, local = 2]</td></tr>
 <tr><td><code>sql.defaults.reorder_joins_limit</code></td><td>integer</td><td><code>4</code></td><td>default number of joins to reorder</td></tr>
 <tr><td><code>sql.defaults.results_buffer.size</code></td><td>byte size</td><td><code>16 KiB</code></td><td>default size of the buffer that accumulates results for a statement or a batch of statements before they are sent to the client. This can be overridden on an individual connection with the 'results_buffer_size' parameter. Note that auto-retries generally only happen while no results have been delivered to the client, so reducing this size can increase the number of retriable errors a client receives. On the other hand, increasing the buffer size can increase the delay until the client receives the first result row. Updating the setting only affects new connections. Setting to 0 disables any buffering.</td></tr>
 <tr><td><code>sql.defaults.serial_normalization</code></td><td>enumeration</td><td><code>rowid</code></td><td>default handling of SERIAL in table definitions [rowid = 0, virtual_sequence = 1, sql_sequence = 2]</td></tr>
+<tr><td><code>sql.defaults.vectorize</code></td><td>enumeration</td><td><code>auto</code></td><td>default vectorize mode [off = 0, auto = 1, experimental_on = 2, experimental_always = 3]</td></tr>
 <tr><td><code>sql.distsql.distribute_index_joins</code></td><td>boolean</td><td><code>true</code></td><td>if set, for index joins we instantiate a join reader on every node that has a stream; if not set, we use a single join reader</td></tr>
 <tr><td><code>sql.distsql.flow_stream_timeout</code></td><td>duration</td><td><code>10s</code></td><td>amount of time incoming streams wait for a flow to be set up before erroring out</td></tr>
 <tr><td><code>sql.distsql.interleaved_joins.enabled</code></td><td>boolean</td><td><code>true</code></td><td>if set we plan interleaved table joins instead of merge joins when possible</td></tr>

pkg/sql/distsql_running.go

@@ -137,17 +137,17 @@ func (dsp *DistSQLPlanner) setupFlows(
 	// TODO(yuzefovich): this is a safe but quite inefficient way of setting up
 	// vectorized flows since the flows will effectively be planned twice. Remove
 	// this once logic of falling back to DistSQL is bullet-proof.
-	if evalCtx.SessionData.Vectorize != sessiondata.VectorizeOff {
+	if evalCtx.SessionData.VectorizeMode != sessiondata.VectorizeOff {
 		for _, spec := range flows {
 			if err := distsqlrun.SupportsVectorized(
 				ctx, &distsqlrun.FlowCtx{EvalCtx: &evalCtx.EvalContext, NodeID: -1}, spec.Processors,
 			); err != nil {
 				// Vectorization attempt failed with an error.
 				returnVectorizationSetupError := false
-				if evalCtx.SessionData.Vectorize == sessiondata.VectorizeAlways {
+				if evalCtx.SessionData.VectorizeMode == sessiondata.VectorizeExperimentalAlways {
 					returnVectorizationSetupError = true
-					// If running with VectorizeAlways, this check makes sure that we can
-					// still run SET statements (mostly to set experimental_vectorize to
+					// If running with VectorizeExperimentalAlways, this check makes sure
+					// that we can still run SET statements (mostly to set vectorize to
 					// off) and the like.
 					if len(spec.Processors) == 1 &&
 						spec.Processors[0].Core.LocalPlanNode != nil {
@@ -171,9 +171,9 @@ func (dsp *DistSQLPlanner) setupFlows(
 				// it can be used in the future, but setupReq is used only once, so we
 				// don't need to restore it.
 				setupReq.EvalContext.Vectorize = int32(sessiondata.VectorizeOff)
-				origMode := evalCtx.SessionData.Vectorize
-				evalCtx.SessionData.Vectorize = sessiondata.VectorizeOff
-				defer func() { evalCtx.SessionData.Vectorize = origMode }()
+				origMode := evalCtx.SessionData.VectorizeMode
+				evalCtx.SessionData.VectorizeMode = sessiondata.VectorizeOff
+				defer func() { evalCtx.SessionData.VectorizeMode = origMode }()
 				break
 			}
 		}

pkg/sql/distsqlpb/api.go

@@ -53,7 +53,7 @@ func MakeEvalContext(evalCtx tree.EvalContext) EvalContext {
 		ApplicationName:    evalCtx.SessionData.ApplicationName,
 		BytesEncodeFormat:  be,
 		ExtraFloatDigits:   int32(evalCtx.SessionData.DataConversion.ExtraFloatDigits),
-		Vectorize:          int32(evalCtx.SessionData.Vectorize),
+		Vectorize:          int32(evalCtx.SessionData.VectorizeMode),
 	}
 
 	// Populate the search path. Make sure not to include the implicit pg_catalog,

pkg/sql/distsqlrun/column_exec_setup.go

@@ -26,6 +26,7 @@ import (
 	"github.com/cockroachdb/cockroach/pkg/sql/exec/types/conv"
 	"github.com/cockroachdb/cockroach/pkg/sql/exec/vecbuiltins"
 	"github.com/cockroachdb/cockroach/pkg/sql/sem/tree"
+	"github.com/cockroachdb/cockroach/pkg/sql/sessiondata"
 	"github.com/cockroachdb/cockroach/pkg/sql/sqlbase"
 	semtypes "github.com/cockroachdb/cockroach/pkg/sql/types"
 	"github.com/cockroachdb/cockroach/pkg/util"
@@ -100,6 +101,7 @@ type newColOperatorResult struct {
 	outputTypes     []types.T
 	memUsage        int
 	metadataSources []distsqlpb.MetadataSource
+	isStreaming     bool
 }
 
 // newColOperator creates a new columnar operator according to the given spec.
@@ -118,12 +120,18 @@ func newColOperator(
 	// interface.
 	var columnTypes []semtypes.T
 
+	// By default, we safely assume that an operator is not streaming. Note that
+	// projections, renders, filters, limits, offsets as well as all internal
+	// operators (like stats collectors and cancel checkers) are streaming, so in
+	// order to determine whether the resulting chain of operators is streaming,
+	// it is sufficient to look only at the "core" operator.
+	result.isStreaming = false
 	switch {
 	case core.Noop != nil:
 		if err := checkNumIn(inputs, 1); err != nil {
 			return result, err
 		}
-		result.op = exec.NewNoop(inputs[0])
+		result.op, result.isStreaming = exec.NewNoop(inputs[0]), true
 		columnTypes = spec.Input[0].ColumnTypes
 	case core.TableReader != nil:
 		if err := checkNumIn(inputs, 0); err != nil {
@@ -146,7 +154,7 @@ func newColOperator(
 		// However, some of the long-running operators (for example, sorter) are
 		// still responsible for doing the cancellation check on their own while
 		// performing long operations.
-		result.op = exec.NewCancelChecker(result.op)
+		result.op, result.isStreaming = exec.NewCancelChecker(result.op), true
 		returnMutations := core.TableReader.Visibility == distsqlpb.ScanVisibility_PUBLIC_AND_NOT_PUBLIC
 		columnTypes = core.TableReader.Table.ColumnTypesWithMutations(returnMutations)
 	case core.Aggregator != nil:
@@ -250,6 +258,7 @@ func newColOperator(
 			result.op, err = exec.NewOrderedAggregator(
 				inputs[0], typs, aggFns, aggSpec.GroupCols, aggCols, isScalarAggregate(aggSpec),
 			)
+			result.isStreaming = true
 		}
 
 	case core.Distinct != nil:
@@ -279,13 +288,14 @@ func newColOperator(
 			return result, err
 		}
 		result.op, err = exec.NewOrderedDistinct(inputs[0], core.Distinct.OrderedColumns, typs)
+		result.isStreaming = true
 
 	case core.Ordinality != nil:
 		if err := checkNumIn(inputs, 1); err != nil {
 			return result, err
 		}
 		columnTypes = append(spec.Input[0].ColumnTypes, *semtypes.Int)
-		result.op = exec.NewOrdinalityOp(inputs[0])
+		result.op, result.isStreaming = exec.NewOrdinalityOp(inputs[0]), true
 
 	case core.HashJoiner != nil:
 		if err := checkNumIn(inputs, 2); err != nil {
@@ -363,6 +373,9 @@ func newColOperator(
 		}
 
 	case core.MergeJoiner != nil:
+		// TODO(yuzefovich): merge joiner is streaming when both input sources are
+		// unique. We probably need to propagate that information from the
+		// optimizer.
 		if err := checkNumIn(inputs, 2); err != nil {
 			return result, err
 		}
@@ -470,7 +483,7 @@ func newColOperator(
 			columnTypes = jr.OutputTypes()
 			return jr, nil
 		})
-		result.op = c
+		result.op, result.isStreaming = c, true
 		result.metadataSources = append(result.metadataSources, c)
 
 	case core.Sorter != nil:
@@ -494,7 +507,7 @@ func newColOperator(
 			// exactly how many rows the sorter should output. Choose a top K sorter,
 			// which uses a heap to avoid storing more rows than necessary.
 			k := uint16(post.Limit + post.Offset)
-			result.op = exec.NewTopKSorter(input, inputTypes, orderingCols, k)
+			result.op, result.isStreaming = exec.NewTopKSorter(input, inputTypes, orderingCols, k), true
 		} else {
 			// No optimizations possible. Default to the standard sort operator.
 			result.op, err = exec.NewSorter(input, inputTypes, orderingCols)
@@ -536,6 +549,8 @@ func newColOperator(
 			if len(wf.Ordering.Columns) > 0 {
 				input, err = exec.NewSorter(input, typs, wf.Ordering.Columns)
 			}
+			// TODO(yuzefovich): when both PARTITION BY and ORDER BY clauses are
+			// omitted, the window function operator is actually streaming.
 		}
 		if err != nil {
 			return result, err
@@ -1367,6 +1382,10 @@ func (s *vectorizedFlowCreator) setupFlow(
 		if err != nil {
 			return errors.Wrapf(err, "unable to vectorize execution plan")
 		}
+		if flowCtx.EvalCtx.SessionData.VectorizeMode == sessiondata.VectorizeAuto &&
+			!result.isStreaming {
+			return errors.Errorf("non-streaming operator encountered when vectorize=auto")
+		}
 		if err = acc.Grow(ctx, int64(result.memUsage)); err != nil {
 			return errors.Wrapf(err, "not enough memory to setup vectorized plan")
 		}

pkg/sql/distsqlrun/flow.go

@@ -500,8 +500,8 @@ func (f *Flow) setup(ctx context.Context, spec *distsqlpb.FlowSpec) error {
 	ctx, f.ctxCancel = contextutil.WithCancel(ctx)
 	f.ctxDone = ctx.Done()
 
-	if f.EvalCtx.SessionData.Vectorize != sessiondata.VectorizeOff {
-		log.VEventf(ctx, 1, "setting up vectorize flow %d with setting %s", f.id, f.EvalCtx.SessionData.Vectorize)
+	if f.EvalCtx.SessionData.VectorizeMode != sessiondata.VectorizeOff {
+		log.VEventf(ctx, 1, "setting up vectorize flow %d", f.id)
 		acc := f.EvalCtx.Mon.MakeBoundAccount()
 		f.vectorizedBoundAccount = &acc
 		err := f.setupVectorizedFlow(ctx, f.vectorizedBoundAccount)

pkg/sql/distsqlrun/flow_vectorize_space_test.go

@@ -37,7 +37,7 @@ func TestVectorizeSpaceError(t *testing.T) {
 		EvalCtx:  &evalCtx,
 	}
 
-	// Without a limit, the default sorter creates a vectorized operater
+	// Without a limit, the default sorter creates a vectorized operator
 	// that we don't know memory usage of statically.
 	sorterCore := &distsqlpb.SorterSpec{
 		OutputOrdering: distsqlpb.Ordering{

pkg/sql/distsqlrun/processors.go

@@ -1213,16 +1213,16 @@ type LocalProcessor interface {
 }
 
 // VectorizeAlwaysException is an object that returns whether or not execution
-// should continue if experimental_vectorize=always and an error occurred when
+// should continue if vectorize=experimental_always and an error occurred when
 // setting up the vectorized flow. Consider the case in which
-// experimental_vectorize=always. The user must be able to unset this session
+// vectorize=experimental_always. The user must be able to unset this session
 // variable without getting an error.
 type VectorizeAlwaysException interface {
 	// IsException returns whether this object should be an exception to the rule
 	// that an inability to run this node in a vectorized flow should produce an
 	// error.
 	// TODO(asubiotto): This is the cleanest way I can think of to not error out
-	// on SET statements when running with experimental_vectorize = always. If
+	// on SET statements when running with vectorize = experimental_always. If
 	// there is a better way, we should get rid of this interface.
 	IsException() bool
 }

pkg/sql/distsqlrun/server.go

@@ -394,7 +394,7 @@ func (ds *ServerImpl) setupFlow(
 				BytesEncodeFormat: be,
 				ExtraFloatDigits:  int(req.EvalContext.ExtraFloatDigits),
 			},
-			Vectorize: sessiondata.VectorizeExecMode(req.EvalContext.Vectorize),
+			VectorizeMode: sessiondata.VectorizeExecMode(req.EvalContext.Vectorize),
 		}
 		// Enable better compatibility with PostgreSQL date math.
 		if req.Version >= 22 {

pkg/sql/exec_util.go

@@ -148,13 +148,14 @@ var ReorderJoinsLimitClusterValue = settings.RegisterValidatedIntSetting(
 // VectorizeClusterMode controls the cluster default for when automatic
 // vectorization is enabled.
 var VectorizeClusterMode = settings.RegisterEnumSetting(
-	"sql.defaults.experimental_vectorize",
-	"default experimental_vectorize mode",
-	"off",
+	"sql.defaults.vectorize",
+	"default vectorize mode",
+	"auto",
 	map[int64]string{
-		int64(sessiondata.VectorizeOff):    "off",
-		int64(sessiondata.VectorizeOn):     "on",
-		int64(sessiondata.VectorizeAlways): "always",
+		int64(sessiondata.VectorizeOff):                "off",
+		int64(sessiondata.VectorizeAuto):               "auto",
+		int64(sessiondata.VectorizeExperimentalOn):     "experimental_on",
+		int64(sessiondata.VectorizeExperimentalAlways): "experimental_always",
 	},
 )
 
@@ -1800,7 +1801,7 @@ func (m *sessionDataMutator) SetReorderJoinsLimit(val int) {
 }
 
 func (m *sessionDataMutator) SetVectorize(val sessiondata.VectorizeExecMode) {
-	m.data.Vectorize = val
+	m.data.VectorizeMode = val
 }
 
 func (m *sessionDataMutator) SetOptimizerMode(val sessiondata.OptimizerMode) {

pkg/sql/logictest/logic.go

@@ -383,8 +383,8 @@ type testClusterConfig struct {
 	overrideOptimizerMode string
 	// if non-empty, overrides the default distsql mode.
 	overrideDistSQLMode string
-	// if non-empty, overrides the default experimental_vectorize mode.
-	overrideExpVectorize string
+	// if non-empty, overrides the default vectorize mode.
+	overrideVectorize string
 	// if non-empty, overrides the default automatic statistics mode.
 	overrideAutoStats string
 	// if set, queries using distSQL processors that can fall back to disk do
@@ -422,17 +422,17 @@ var logicTestConfigs = []testClusterConfig{
 		disableUpgrade: true,
 	},
 	{name: "local-opt", numNodes: 1, overrideDistSQLMode: "off", overrideOptimizerMode: "on", overrideAutoStats: "false"},
-	{name: "local-vec", numNodes: 1, overrideOptimizerMode: "on", overrideExpVectorize: "on"},
+	{name: "local-vec", numNodes: 1, overrideOptimizerMode: "on", overrideVectorize: "experimental_on"},
 	{name: "fakedist", numNodes: 3, useFakeSpanResolver: true, overrideDistSQLMode: "on", overrideOptimizerMode: "off"},
 	{name: "fakedist-opt", numNodes: 3, useFakeSpanResolver: true, overrideDistSQLMode: "on", overrideOptimizerMode: "on", overrideAutoStats: "false"},
-	{name: "fakedist-vec", numNodes: 3, useFakeSpanResolver: true, overrideDistSQLMode: "on", overrideOptimizerMode: "on", overrideAutoStats: "false", overrideExpVectorize: "on"},
+	{name: "fakedist-vec", numNodes: 3, useFakeSpanResolver: true, overrideDistSQLMode: "on", overrideOptimizerMode: "on", overrideAutoStats: "false", overrideVectorize: "experimental_on"},
 	{name: "fakedist-metadata", numNodes: 3, useFakeSpanResolver: true, overrideDistSQLMode: "on", overrideOptimizerMode: "off",
 		distSQLMetadataTestEnabled: true, skipShort: true},
 	{name: "fakedist-disk", numNodes: 3, useFakeSpanResolver: true, overrideDistSQLMode: "on", overrideOptimizerMode: "off",
 		distSQLUseDisk: true, skipShort: true},
 	{name: "5node-local", numNodes: 5, overrideDistSQLMode: "off", overrideOptimizerMode: "off"},
 	{name: "5node-dist", numNodes: 5, overrideDistSQLMode: "on", overrideOptimizerMode: "off"},
-	{name: "5node-dist-vec", numNodes: 5, overrideDistSQLMode: "on", overrideOptimizerMode: "on", overrideExpVectorize: "on", overrideAutoStats: "false"},
+	{name: "5node-dist-vec", numNodes: 5, overrideDistSQLMode: "on", overrideOptimizerMode: "on", overrideVectorize: "experimental_on", overrideAutoStats: "false"},
 	{name: "5node-dist-opt", numNodes: 5, overrideDistSQLMode: "on", overrideOptimizerMode: "on", overrideAutoStats: "false"},
 	{name: "5node-dist-metadata", numNodes: 5, overrideDistSQLMode: "on", distSQLMetadataTestEnabled: true,
 		skipShort: true, overrideOptimizerMode: "off"},
@@ -1062,9 +1062,9 @@ func (t *logicTest) setup(cfg testClusterConfig) {
 			return nil
 		})
 	}
-	if cfg.overrideExpVectorize != "" {
+	if cfg.overrideVectorize != "" {
 		if _, err := t.cluster.ServerConn(0).Exec(
-			"SET CLUSTER SETTING sql.defaults.experimental_vectorize = $1::string", cfg.overrideExpVectorize,
+			"SET CLUSTER SETTING sql.defaults.vectorize = $1::string", cfg.overrideVectorize,
 		); err != nil {
 			t.Fatal(err)
 		}

pkg/sql/logictest/testdata/logic_test/dist_vectorize

@@ -60,7 +60,7 @@ https://cockroachdb.github.io/distsqlplan/decode.html#eJzUl89vm0oQx-_vr0Bzek9ZP9
 
 # Verify execution.
 statement ok
-SET experimental_vectorize = always
+SET vectorize = experimental_always
 
 query I rowsort
 SELECT kv.k FROM kv JOIN kw ON kv.k = kw.k
@@ -72,7 +72,7 @@ SELECT kv.k FROM kv JOIN kw ON kv.k = kw.k
 5
 
 statement ok
-RESET experimental_vectorize
+RESET vectorize
 
 # Regression test for #38919.
 statement ok

pkg/sql/logictest/testdata/logic_test/exec_window

@@ -11,7 +11,7 @@ INSERT INTO t VALUES
   (1, 2, 3)
 
 statement ok
-SET experimental_vectorize=always
+SET vectorize=experimental_always
 
 # Test that non-default window frames are not supported.
 statement error window functions with non-default window frames are not supported

pkg/sql/logictest/testdata/logic_test/explain_analyze_plans

@@ -98,4 +98,4 @@ https://cockroachdb.github.io/distsqlplan/decode.html#eJy8lFGL1DAQx9_9FGGeFFKapq
 query T
 SELECT url FROM [EXPLAIN ANALYZE (DISTSQL) SELECT k FROM kv WHERE k = 0];
 ----
-https://cockroachdb.github.io/distsqlplan/decode.html#eJyMkD9LxEAQxXs_xfJsR7JptzrsrvHktJMUe9nhCCbZMDNRjyPfXZIFxUK48v3Ztz_mijEnfooDK8IbajSESXLLqllWqxT26QvBE7pxmm21G0KbhRGusM56RsBrPPV85JhYKg9CYotdv81O0g1RLrv3DxBepjhqcJV_qHx1D8JhtuB2NQiSP9UJxxTcuqAW-95ZN3BwXkE4XYx_Cu4RzULIs_0yqcUzI9QL3c59ZJ3yqPwH-b9lvzQETmcut9E8S8vPktvtmyIP27vNSKxW0rqI_ViipVnuvgMAAP__mHp6ww==
+https://cockroachdb.github.io/distsqlplan/decode.html#eJyMkDFPwzAUhHd-hXWshjirp65dKCpsKINrPxULJ7b8XiqqKv8dJWYBCYnxvvOdfb5hyoGe3EgM-4Yeg0ap2RNzritqB_bhE9ZoxKnMsuJBw-dKsDdIlESweHWnREdygWpnoBFIXExbbalxdPW6-7hA46W4ia3qzENnuntoHGaxatdD4-TEvxOrPEtZ4Vojc0m_EFMiL_ES5WqVeTQbE5eSkjiSVYYxLBot8v1aFncm2H7R_190JC55Yvox5q9mswwaFM7Ufo3zXD091-y3a5o8bLkNBGJpbt_EfmrWMix3XwEAAP__bYGETQ==