use of io.trino.cost.PlanNodeStatsEstimate in project trino by trinodb.
the class TestDetermineJoinDistributionType method testReplicatesWhenSourceIsSmall.
@Test
public void testReplicatesWhenSourceIsSmall() {
// variable width so that average row size is respected
VarcharType symbolType = createUnboundedVarcharType();
int aRows = 10_000;
int bRows = 10;
// output size exceeds AUTOMATIC_RESTRICTED limit
PlanNodeStatsEstimate aStatsEstimate = PlanNodeStatsEstimate.builder().setOutputRowCount(aRows).addSymbolStatistics(ImmutableMap.of(new Symbol("A1"), new SymbolStatsEstimate(0, 100, 0, 640000d * 10000, 10))).build();
// output size exceeds AUTOMATIC_RESTRICTED limit
PlanNodeStatsEstimate bStatsEstimate = PlanNodeStatsEstimate.builder().setOutputRowCount(bRows).addSymbolStatistics(ImmutableMap.of(new Symbol("B1"), new SymbolStatsEstimate(0, 100, 0, 640000d * 10000, 10))).build();
// output size does not exceed AUTOMATIC_RESTRICTED limit
PlanNodeStatsEstimate bSourceStatsEstimate = PlanNodeStatsEstimate.builder().setOutputRowCount(bRows).addSymbolStatistics(ImmutableMap.of(new Symbol("B1"), new SymbolStatsEstimate(0, 100, 0, 64, 10))).build();
// immediate join sources exceeds AUTOMATIC_RESTRICTED limit but build tables are small
// therefore replicated distribution type is chosen
assertDetermineJoinDistributionType().setSystemProperty(JOIN_DISTRIBUTION_TYPE, JoinDistributionType.AUTOMATIC.name()).setSystemProperty(JOIN_MAX_BROADCAST_TABLE_SIZE, "100MB").overrideStats("valuesA", aStatsEstimate).overrideStats("filterB", bStatsEstimate).overrideStats("valuesB", bSourceStatsEstimate).on(p -> {
Symbol a1 = p.symbol("A1", symbolType);
Symbol b1 = p.symbol("B1", symbolType);
return p.join(INNER, p.values(new PlanNodeId("valuesA"), aRows, a1), p.filter(new PlanNodeId("filterB"), TRUE_LITERAL, p.values(new PlanNodeId("valuesB"), bRows, b1)), ImmutableList.of(new JoinNode.EquiJoinClause(a1, b1)), ImmutableList.of(a1), ImmutableList.of(b1), Optional.empty());
}).matches(join(INNER, ImmutableList.of(equiJoinClause("A1", "B1")), Optional.empty(), Optional.of(REPLICATED), values(ImmutableMap.of("A1", 0)), filter("true", values(ImmutableMap.of("B1", 0)))));
// same but with join sides reversed
assertDetermineJoinDistributionType().setSystemProperty(JOIN_DISTRIBUTION_TYPE, JoinDistributionType.AUTOMATIC.name()).setSystemProperty(JOIN_MAX_BROADCAST_TABLE_SIZE, "100MB").overrideStats("valuesA", aStatsEstimate).overrideStats("filterB", bStatsEstimate).overrideStats("valuesB", bSourceStatsEstimate).on(p -> {
Symbol a1 = p.symbol("A1", symbolType);
Symbol b1 = p.symbol("B1", symbolType);
return p.join(INNER, p.filter(new PlanNodeId("filterB"), TRUE_LITERAL, p.values(new PlanNodeId("valuesB"), bRows, b1)), p.values(new PlanNodeId("valuesA"), aRows, a1), ImmutableList.of(new JoinNode.EquiJoinClause(b1, a1)), ImmutableList.of(b1), ImmutableList.of(a1), Optional.empty());
}).matches(join(INNER, ImmutableList.of(equiJoinClause("A1", "B1")), Optional.empty(), Optional.of(REPLICATED), values(ImmutableMap.of("A1", 0)), filter("true", values(ImmutableMap.of("B1", 0)))));
// only probe side (with small tables) source stats are available, join sides should be flipped
assertDetermineJoinDistributionType().setSystemProperty(JOIN_DISTRIBUTION_TYPE, JoinDistributionType.AUTOMATIC.name()).setSystemProperty(JOIN_MAX_BROADCAST_TABLE_SIZE, "100MB").overrideStats("valuesA", PlanNodeStatsEstimate.unknown()).overrideStats("filterB", PlanNodeStatsEstimate.unknown()).overrideStats("valuesB", bSourceStatsEstimate).on(p -> {
Symbol a1 = p.symbol("A1", symbolType);
Symbol b1 = p.symbol("B1", symbolType);
return p.join(LEFT, p.filter(new PlanNodeId("filterB"), TRUE_LITERAL, p.values(new PlanNodeId("valuesB"), bRows, b1)), p.values(new PlanNodeId("valuesA"), aRows, a1), ImmutableList.of(new JoinNode.EquiJoinClause(b1, a1)), ImmutableList.of(b1), ImmutableList.of(a1), Optional.empty());
}).matches(join(RIGHT, ImmutableList.of(equiJoinClause("A1", "B1")), Optional.empty(), Optional.of(PARTITIONED), values(ImmutableMap.of("A1", 0)), filter("true", values(ImmutableMap.of("B1", 0)))));
}
use of io.trino.cost.PlanNodeStatsEstimate in project trino by trinodb.
the class TestDetermineJoinDistributionType method testReplicatesWhenNotRestricted.
@Test
public void testReplicatesWhenNotRestricted() {
// variable width so that average row size is respected
VarcharType symbolType = createUnboundedVarcharType();
int aRows = 10_000;
int bRows = 10;
PlanNodeStatsEstimate probeSideStatsEstimate = PlanNodeStatsEstimate.builder().setOutputRowCount(aRows).addSymbolStatistics(ImmutableMap.of(new Symbol("A1"), new SymbolStatsEstimate(0, 100, 0, 640000, 10))).build();
PlanNodeStatsEstimate buildSideStatsEstimate = PlanNodeStatsEstimate.builder().setOutputRowCount(bRows).addSymbolStatistics(ImmutableMap.of(new Symbol("B1"), new SymbolStatsEstimate(0, 100, 0, 640000, 10))).build();
// B table is small enough to be replicated in AUTOMATIC_RESTRICTED mode
assertDetermineJoinDistributionType().setSystemProperty(JOIN_DISTRIBUTION_TYPE, JoinDistributionType.AUTOMATIC.name()).setSystemProperty(JOIN_MAX_BROADCAST_TABLE_SIZE, "100MB").overrideStats("valuesA", probeSideStatsEstimate).overrideStats("valuesB", buildSideStatsEstimate).on(p -> {
Symbol a1 = p.symbol("A1", symbolType);
Symbol b1 = p.symbol("B1", symbolType);
return p.join(INNER, p.values(new PlanNodeId("valuesA"), aRows, a1), p.values(new PlanNodeId("valuesB"), bRows, b1), ImmutableList.of(new JoinNode.EquiJoinClause(a1, b1)), ImmutableList.of(a1), ImmutableList.of(b1), Optional.empty());
}).matches(join(INNER, ImmutableList.of(equiJoinClause("A1", "B1")), Optional.empty(), Optional.of(REPLICATED), values(ImmutableMap.of("A1", 0)), values(ImmutableMap.of("B1", 0))));
probeSideStatsEstimate = PlanNodeStatsEstimate.builder().setOutputRowCount(aRows).addSymbolStatistics(ImmutableMap.of(new Symbol("A1"), new SymbolStatsEstimate(0, 100, 0, 640000d * 10000, 10))).build();
buildSideStatsEstimate = PlanNodeStatsEstimate.builder().setOutputRowCount(bRows).addSymbolStatistics(ImmutableMap.of(new Symbol("B1"), new SymbolStatsEstimate(0, 100, 0, 640000d * 10000, 10))).build();
// B table exceeds AUTOMATIC_RESTRICTED limit therefore it is partitioned
assertDetermineJoinDistributionType().setSystemProperty(JOIN_DISTRIBUTION_TYPE, JoinDistributionType.AUTOMATIC.name()).setSystemProperty(JOIN_MAX_BROADCAST_TABLE_SIZE, "100MB").overrideStats("valuesA", probeSideStatsEstimate).overrideStats("valuesB", buildSideStatsEstimate).on(p -> {
Symbol a1 = p.symbol("A1", symbolType);
Symbol b1 = p.symbol("B1", symbolType);
return p.join(INNER, p.values(new PlanNodeId("valuesA"), aRows, a1), p.values(new PlanNodeId("valuesB"), bRows, b1), ImmutableList.of(new JoinNode.EquiJoinClause(a1, b1)), ImmutableList.of(a1), ImmutableList.of(b1), Optional.empty());
}).matches(join(INNER, ImmutableList.of(equiJoinClause("A1", "B1")), Optional.empty(), Optional.of(PARTITIONED), values(ImmutableMap.of("A1", 0)), values(ImmutableMap.of("B1", 0))));
}
use of io.trino.cost.PlanNodeStatsEstimate in project trino by trinodb.
the class MetricComparator method getEstimatedValuesInternal.
private static List<OptionalDouble> getEstimatedValuesInternal(List<Metric> metrics, String query, QueryRunner runner, Session session) // TODO inline back this method
{
Plan queryPlan = runner.createPlan(session, query, WarningCollector.NOOP);
OutputNode outputNode = (OutputNode) queryPlan.getRoot();
PlanNodeStatsEstimate outputNodeStats = queryPlan.getStatsAndCosts().getStats().getOrDefault(queryPlan.getRoot().getId(), PlanNodeStatsEstimate.unknown());
StatsContext statsContext = buildStatsContext(queryPlan, outputNode);
return getEstimatedValues(metrics, outputNodeStats, statsContext);
}
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