Package com.facebook.presto.sql.planner

Examples of com.facebook.presto.sql.planner.ExpressionInterpreter.optimize()


        Expression parsedExpression = FunctionAssertions.createExpression(expression, METADATA, SYMBOL_TYPES);

        IdentityHashMap<Expression, Type> expressionTypes = getExpressionTypes(TEST_SESSION, METADATA, SQL_PARSER, SYMBOL_TYPES, parsedExpression);
        ExpressionInterpreter interpreter = expressionOptimizer(parsedExpression, METADATA, TEST_SESSION, expressionTypes);
        return interpreter.optimize(new SymbolResolver()
        {
            @Override
            public Object getValue(Symbol symbol)
            {
                switch (symbol.getName().toLowerCase()) {
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            {
                @Override
                public Expression apply(Expression expression)
                {
                    ExpressionInterpreter optimizer = ExpressionInterpreter.expressionOptimizer(expression, metadata, session);
                    return LiteralInterpreter.toExpression(optimizer.optimize(NoOpSymbolResolver.INSTANCE));
                }
            };
        }

        /**
 
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                    LookupSymbolResolver inputs = new LookupSymbolResolver(ImmutableMap.<Symbol, Object>copyOf(symbolFixedValueAssignments));

                    // If any conjuncts evaluate to FALSE or null, then the whole predicate will never be true and so the partition should be pruned
                    for (Expression expression : extractConjuncts(predicate)) {
                        ExpressionInterpreter optimizer = ExpressionInterpreter.expressionOptimizer(expression, metadata, session);
                        Object optimized = optimizer.optimize(inputs);
                        if (Boolean.FALSE.equals(optimized) || optimized == null || optimized instanceof NullLiteral) {
                            return true;
                        }
                    }
                    return false;
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        // We use the optimizer to be able to produce a semantic exception if columns are referenced in the expression.
        // We can't do this with the interpreter yet because it's designed for the execution stage and has the wrong shape.
        // So, for now, we punt on supporting non-deterministic functions.
        ExpressionInterpreter samplePercentageEval = ExpressionInterpreter.expressionOptimizer(relation.getSamplePercentage(), metadata, session);

        Object samplePercentageObject = samplePercentageEval.optimize(new SymbolResolver()
        {
            @Override
            public Object getValue(Symbol symbol)
            {
                throw new SemanticException(NON_NUMERIC_SAMPLE_PERCENTAGE, relation.getSamplePercentage(), "Sample percentage cannot contain column references");
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        // We use the optimizer to be able to produce a semantic exception if columns are referenced in the expression.
        // We can't do this with the interpreter yet because it's designed for the execution stage and has the wrong shape.
        // So, for now, we punt on supporting non-deterministic functions.
        ExpressionInterpreter samplePercentageEval = ExpressionInterpreter.expressionOptimizer(relation.getSamplePercentage(), metadata, session);

        Object samplePercentageObject = samplePercentageEval.optimize(new SymbolResolver()
        {
            @Override
            public Object getValue(Symbol symbol)
            {
                throw new SemanticException(NON_NUMERIC_SAMPLE_PERCENTAGE, relation.getSamplePercentage(), "Sample percentage cannot contain column references");
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            {
                @Override
                public Expression apply(Expression expression)
                {
                    ExpressionInterpreter optimizer = ExpressionInterpreter.expressionOptimizer(expression, metadata, session);
                    return LiteralInterpreter.toExpression(optimizer.optimize(NoOpSymbolResolver.INSTANCE));
                }
            };
        }

        /**
 
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                    LookupSymbolResolver inputs = new LookupSymbolResolver(ImmutableMap.<Symbol, Object>copyOf(symbolFixedValueAssignments));

                    // If any conjuncts evaluate to FALSE or null, then the whole predicate will never be true and so the partition should be pruned
                    for (Expression expression : extractConjuncts(predicate)) {
                        ExpressionInterpreter optimizer = ExpressionInterpreter.expressionOptimizer(expression, metadata, session);
                        Object optimized = optimizer.optimize(inputs);
                        if (Boolean.FALSE.equals(optimized) || optimized == null || optimized instanceof NullLiteral) {
                            return true;
                        }
                    }
                    return false;
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        // We use the optimizer to be able to produce a semantic exception if columns are referenced in the expression.
        // We can't do this with the interpreter yet because it's designed for the execution stage and has the wrong shape.
        // So, for now, we punt on supporting non-deterministic functions.
        ExpressionInterpreter samplePercentageEval = ExpressionInterpreter.expressionOptimizer(relation.getSamplePercentage(), metadata, session);

        Object samplePercentageObject = samplePercentageEval.optimize(new SymbolResolver()
        {
            @Override
            public Object getValue(Symbol symbol)
            {
                throw new SemanticException(NON_NUMERIC_SAMPLE_PERCENTAGE, relation.getSamplePercentage(), "Sample percentage cannot contain column references");
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            {
                @Override
                public Expression apply(Expression expression)
                {
                    ExpressionInterpreter optimizer = ExpressionInterpreter.expressionOptimizer(expression, metadata, session);
                    return LiteralInterpreter.toExpression(optimizer.optimize(NoOpSymbolResolver.INSTANCE));
                }
            };
        }

        /**
 
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                    LookupSymbolResolver inputs = new LookupSymbolResolver(ImmutableMap.<Symbol, Object>copyOf(symbolFixedValueAssignments));

                    // If any conjuncts evaluate to FALSE or null, then the whole predicate will never be true and so the partition should be pruned
                    for (Expression expression : extractConjuncts(predicate)) {
                        ExpressionInterpreter optimizer = ExpressionInterpreter.expressionOptimizer(expression, metadata, session);
                        Object optimized = optimizer.optimize(inputs);
                        if (Boolean.FALSE.equals(optimized) || optimized == null || optimized instanceof NullLiteral) {
                            return true;
                        }
                    }
                    return false;
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