use of io.trino.sql.tree.ArithmeticUnaryExpression in project trino by trinodb.
the class TestJoinNodeFlattener method testPushesProjectionsThroughJoin.
@Test
public void testPushesProjectionsThroughJoin() {
PlanNodeIdAllocator planNodeIdAllocator = new PlanNodeIdAllocator();
PlanBuilder p = planBuilder(planNodeIdAllocator);
Symbol a = p.symbol("A");
Symbol b = p.symbol("B");
Symbol c = p.symbol("C");
Symbol d = p.symbol("D");
ValuesNode valuesA = p.values(a);
ValuesNode valuesB = p.values(b);
ValuesNode valuesC = p.values(c);
JoinNode joinNode = p.join(INNER, p.project(Assignments.of(d, new ArithmeticUnaryExpression(MINUS, a.toSymbolReference())), p.join(INNER, valuesA, valuesB, equiJoinClause(a, b))), valuesC, equiJoinClause(d, c));
MultiJoinNode actual = toMultiJoinNode(queryRunner.getPlannerContext(), joinNode, noLookup(), planNodeIdAllocator, DEFAULT_JOIN_LIMIT, true, testSessionBuilder().build(), createTestingTypeAnalyzer(queryRunner.getPlannerContext()), p.getTypes());
assertEquals(actual.getOutputSymbols(), ImmutableList.of(d, c));
assertEquals(actual.getFilter(), and(createEqualsExpression(a, b), createEqualsExpression(d, c)));
assertTrue(actual.isPushedProjectionThroughJoin());
List<PlanNode> actualSources = ImmutableList.copyOf(actual.getSources());
assertPlan(p.getTypes(), actualSources.get(0), node(ProjectNode.class, values("a")).withNumberOfOutputColumns(2));
assertPlan(p.getTypes(), actualSources.get(1), node(ProjectNode.class, values("b")).withNumberOfOutputColumns(1));
assertPlan(p.getTypes(), actualSources.get(2), values("c"));
}
use of io.trino.sql.tree.ArithmeticUnaryExpression in project trino by trinodb.
the class TestMergeProjectWithValues method testNonDeterministicValues.
@Test
public void testNonDeterministicValues() {
FunctionCall randomFunction = new FunctionCall(tester().getMetadata().resolveFunction(tester().getSession(), QualifiedName.of("random"), ImmutableList.of()).toQualifiedName(), ImmutableList.of());
tester().assertThat(new MergeProjectWithValues(tester().getMetadata())).on(p -> p.project(Assignments.of(p.symbol("rand"), expression("rand")), p.valuesOfExpressions(ImmutableList.of(p.symbol("rand")), ImmutableList.of(new Row(ImmutableList.of(randomFunction)))))).matches(values(ImmutableList.of("rand"), ImmutableList.of(ImmutableList.of(randomFunction))));
// ValuesNode has multiple rows
tester().assertThat(new MergeProjectWithValues(tester().getMetadata())).on(p -> p.project(Assignments.of(p.symbol("output"), expression("value")), p.valuesOfExpressions(ImmutableList.of(p.symbol("value")), ImmutableList.of(new Row(ImmutableList.of(new NullLiteral())), new Row(ImmutableList.of(randomFunction)), new Row(ImmutableList.of(new ArithmeticUnaryExpression(MINUS, randomFunction))))))).matches(values(ImmutableList.of("output"), ImmutableList.of(ImmutableList.of(new NullLiteral()), ImmutableList.of(randomFunction), ImmutableList.of(new ArithmeticUnaryExpression(MINUS, randomFunction)))));
// ValuesNode has multiple non-deterministic outputs
tester().assertThat(new MergeProjectWithValues(tester().getMetadata())).on(p -> p.project(Assignments.of(p.symbol("x"), expression("-a"), p.symbol("y"), expression("b")), p.valuesOfExpressions(ImmutableList.of(p.symbol("a"), p.symbol("b")), ImmutableList.of(new Row(ImmutableList.of(new DoubleLiteral("1e0"), randomFunction)), new Row(ImmutableList.of(randomFunction, new NullLiteral())), new Row(ImmutableList.of(new ArithmeticUnaryExpression(MINUS, randomFunction), new NullLiteral())))))).matches(values(ImmutableList.of("x", "y"), ImmutableList.of(ImmutableList.of(new ArithmeticUnaryExpression(MINUS, new DoubleLiteral("1e0")), randomFunction), ImmutableList.of(new ArithmeticUnaryExpression(MINUS, randomFunction), new NullLiteral()), ImmutableList.of(new ArithmeticUnaryExpression(MINUS, new ArithmeticUnaryExpression(MINUS, randomFunction)), new NullLiteral()))));
}
use of io.trino.sql.tree.ArithmeticUnaryExpression in project trino by trinodb.
the class TestPatternRecognitionNodeSerialization method testExpressionAndValuePointersRoundtrip.
@Test
public void testExpressionAndValuePointersRoundtrip() {
ObjectMapperProvider provider = new ObjectMapperProvider();
provider.setJsonSerializers(ImmutableMap.of(Expression.class, new ExpressionSerialization.ExpressionSerializer()));
provider.setJsonDeserializers(ImmutableMap.of(Expression.class, new ExpressionSerialization.ExpressionDeserializer(new SqlParser())));
JsonCodec<ExpressionAndValuePointers> codec = new JsonCodecFactory(provider).jsonCodec(ExpressionAndValuePointers.class);
assertJsonRoundTrip(codec, new ExpressionAndValuePointers(new NullLiteral(), ImmutableList.of(), ImmutableList.of(), ImmutableSet.of(), ImmutableSet.of()));
assertJsonRoundTrip(codec, new ExpressionAndValuePointers(new IfExpression(new ComparisonExpression(GREATER_THAN, new SymbolReference("classifier"), new SymbolReference("x")), new FunctionCall(QualifiedName.of("rand"), ImmutableList.of()), new ArithmeticUnaryExpression(MINUS, new SymbolReference("match_number"))), ImmutableList.of(new Symbol("classifier"), new Symbol("x"), new Symbol("match_number")), ImmutableList.of(new ScalarValuePointer(new LogicalIndexPointer(ImmutableSet.of(new IrLabel("A"), new IrLabel("B")), false, true, 1, -1), new Symbol("input_symbol_a")), new ScalarValuePointer(new LogicalIndexPointer(ImmutableSet.of(new IrLabel("B")), true, false, 2, 1), new Symbol("input_symbol_a")), new ScalarValuePointer(new LogicalIndexPointer(ImmutableSet.of(), true, true, 0, 0), new Symbol("input_symbol_a"))), ImmutableSet.of(new Symbol("classifier")), ImmutableSet.of(new Symbol("match_number"))));
}
use of io.trino.sql.tree.ArithmeticUnaryExpression in project trino by trinodb.
the class TestPatternRecognitionNodeSerialization method testMeasureRoundtrip.
@Test
public void testMeasureRoundtrip() {
ObjectMapperProvider provider = new ObjectMapperProvider();
provider.setJsonSerializers(ImmutableMap.of(Expression.class, new ExpressionSerialization.ExpressionSerializer()));
provider.setJsonDeserializers(ImmutableMap.of(Expression.class, new ExpressionSerialization.ExpressionDeserializer(new SqlParser()), Type.class, new TypeDeserializer(TESTING_TYPE_MANAGER)));
JsonCodec<Measure> codec = new JsonCodecFactory(provider).jsonCodec(Measure.class);
assertJsonRoundTrip(codec, new Measure(new ExpressionAndValuePointers(new NullLiteral(), ImmutableList.of(), ImmutableList.of(), ImmutableSet.of(), ImmutableSet.of()), BOOLEAN));
assertJsonRoundTrip(codec, new Measure(new ExpressionAndValuePointers(new IfExpression(new ComparisonExpression(GREATER_THAN, new SymbolReference("match_number"), new SymbolReference("x")), new GenericLiteral("BIGINT", "10"), new ArithmeticUnaryExpression(MINUS, new SymbolReference("y"))), ImmutableList.of(new Symbol("match_number"), new Symbol("x"), new Symbol("y")), ImmutableList.of(new ScalarValuePointer(new LogicalIndexPointer(ImmutableSet.of(), true, true, 0, 0), new Symbol("input_symbol_a")), new ScalarValuePointer(new LogicalIndexPointer(ImmutableSet.of(new IrLabel("A")), false, true, 1, -1), new Symbol("input_symbol_a")), new ScalarValuePointer(new LogicalIndexPointer(ImmutableSet.of(new IrLabel("B")), false, true, 1, -1), new Symbol("input_symbol_b"))), ImmutableSet.of(), ImmutableSet.of(new Symbol("match_number"))), BIGINT));
}
use of io.trino.sql.tree.ArithmeticUnaryExpression in project trino by trinodb.
the class TestConnectorPushdownRulesWithHive method testPushdownWithDuplicateExpressions.
@Test
public void testPushdownWithDuplicateExpressions() {
String tableName = "duplicate_expressions";
tester().getQueryRunner().execute(format("CREATE TABLE %s (struct_of_bigint, just_bigint) AS SELECT cast(row(5, 6) AS row(a bigint, b bigint)) AS struct_of_int, 5 AS just_bigint WHERE false", tableName));
PushProjectionIntoTableScan pushProjectionIntoTableScan = new PushProjectionIntoTableScan(tester().getPlannerContext(), tester().getTypeAnalyzer(), new ScalarStatsCalculator(tester().getPlannerContext(), tester().getTypeAnalyzer()));
HiveTableHandle hiveTable = new HiveTableHandle(SCHEMA_NAME, tableName, ImmutableMap.of(), ImmutableList.of(), ImmutableList.of(), Optional.empty());
TableHandle table = new TableHandle(new CatalogName(HIVE_CATALOG_NAME), hiveTable, new HiveTransactionHandle(false));
HiveColumnHandle bigintColumn = createBaseColumn("just_bigint", 1, toHiveType(BIGINT), BIGINT, REGULAR, Optional.empty());
HiveColumnHandle partialColumn = new HiveColumnHandle("struct_of_bigint", 0, toHiveType(ROW_TYPE), ROW_TYPE, Optional.of(new HiveColumnProjectionInfo(ImmutableList.of(0), ImmutableList.of("a"), toHiveType(BIGINT), BIGINT)), REGULAR, Optional.empty());
// Test projection pushdown with duplicate column references
tester().assertThat(pushProjectionIntoTableScan).on(p -> {
SymbolReference column = p.symbol("just_bigint", BIGINT).toSymbolReference();
Expression negation = new ArithmeticUnaryExpression(MINUS, column);
return p.project(Assignments.of(// The column reference is part of both the assignments
p.symbol("column_ref", BIGINT), column, p.symbol("negated_column_ref", BIGINT), negation), p.tableScan(table, ImmutableList.of(p.symbol("just_bigint", BIGINT)), ImmutableMap.of(p.symbol("just_bigint", BIGINT), bigintColumn)));
}).matches(project(ImmutableMap.of("column_ref", expression("just_bigint_0"), "negated_column_ref", expression("- just_bigint_0")), tableScan(hiveTable.withProjectedColumns(ImmutableSet.of(bigintColumn))::equals, TupleDomain.all(), ImmutableMap.of("just_bigint_0", bigintColumn::equals))));
// Test Dereference pushdown
tester().assertThat(pushProjectionIntoTableScan).on(p -> {
SubscriptExpression subscript = new SubscriptExpression(p.symbol("struct_of_bigint", ROW_TYPE).toSymbolReference(), new LongLiteral("1"));
Expression sum = new ArithmeticBinaryExpression(ADD, subscript, new LongLiteral("2"));
return p.project(Assignments.of(// The subscript expression instance is part of both the assignments
p.symbol("expr_deref", BIGINT), subscript, p.symbol("expr_deref_2", BIGINT), sum), p.tableScan(table, ImmutableList.of(p.symbol("struct_of_bigint", ROW_TYPE)), ImmutableMap.of(p.symbol("struct_of_bigint", ROW_TYPE), partialColumn.getBaseColumn())));
}).matches(project(ImmutableMap.of("expr_deref", expression(new SymbolReference("struct_of_bigint#a")), "expr_deref_2", expression(new ArithmeticBinaryExpression(ADD, new SymbolReference("struct_of_bigint#a"), new LongLiteral("2")))), tableScan(hiveTable.withProjectedColumns(ImmutableSet.of(partialColumn))::equals, TupleDomain.all(), ImmutableMap.of("struct_of_bigint#a", partialColumn::equals))));
metastore.dropTable(SCHEMA_NAME, tableName, true);
}
Aggregations