Examples with RexNode org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rex.RexNode used on opensource projects

Example 21 with RexNode

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rex.RexNode in project druid by druid-io.

the class Expressions method toFilter.

/**
   * Translates "condition" to a Druid filter, or returns null if we cannot translate the condition.
   *
   * @param plannerContext planner context
   * @param rowSignature   row signature of the dataSource to be filtered
   * @param expression     Calcite row expression
   */
public static DimFilter toFilter(final DruidOperatorTable operatorTable, final PlannerContext plannerContext, final RowSignature rowSignature, final RexNode expression) {
    if (expression.getKind() == SqlKind.AND || expression.getKind() == SqlKind.OR || expression.getKind() == SqlKind.NOT) {
        final List<DimFilter> filters = Lists.newArrayList();
        for (final RexNode rexNode : ((RexCall) expression).getOperands()) {
            final DimFilter nextFilter = toFilter(operatorTable, plannerContext, rowSignature, rexNode);
            if (nextFilter == null) {
                return null;
            }
            filters.add(nextFilter);
        }
        if (expression.getKind() == SqlKind.AND) {
            return new AndDimFilter(filters);
        } else if (expression.getKind() == SqlKind.OR) {
            return new OrDimFilter(filters);
        } else {
            assert expression.getKind() == SqlKind.NOT;
            return new NotDimFilter(Iterables.getOnlyElement(filters));
        }
    } else {
        // Handle filter conditions on everything else.
        return toLeafFilter(operatorTable, plannerContext, rowSignature, expression);
    }
}

Example 22 with RexNode

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rex.RexNode in project druid by druid-io.

the class Expressions method toMathExpression.

/**
   * Translate a row-expression to a Druid math expression. One day, when possible, this could be folded into
   * {@link #toRowExtraction(DruidOperatorTable, PlannerContext, List, RexNode)}.
   *
   * @param rowOrder   order of fields in the Druid rows to be extracted from
   * @param expression expression meant to be applied on top of the rows
   *
   * @return expression referring to fields in rowOrder, or null if not possible
   */
public static String toMathExpression(final List<String> rowOrder, final RexNode expression) {
    final SqlKind kind = expression.getKind();
    final SqlTypeName sqlTypeName = expression.getType().getSqlTypeName();
    if (kind == SqlKind.INPUT_REF) {
        // Translate field references.
        final RexInputRef ref = (RexInputRef) expression;
        final String columnName = rowOrder.get(ref.getIndex());
        if (columnName == null) {
            throw new ISE("WTF?! Expression referred to nonexistent index[%d]", ref.getIndex());
        }
        return String.format("\"%s\"", escape(columnName));
    } else if (kind == SqlKind.CAST || kind == SqlKind.REINTERPRET) {
        // Translate casts.
        final RexNode operand = ((RexCall) expression).getOperands().get(0);
        final String operandExpression = toMathExpression(rowOrder, operand);
        if (operandExpression == null) {
            return null;
        }
        final ExprType fromType = MATH_TYPES.get(operand.getType().getSqlTypeName());
        final ExprType toType = MATH_TYPES.get(sqlTypeName);
        if (fromType != toType) {
            return String.format("CAST(%s, '%s')", operandExpression, toType.toString());
        } else {
            return operandExpression;
        }
    } else if (kind == SqlKind.TIMES || kind == SqlKind.DIVIDE || kind == SqlKind.PLUS || kind == SqlKind.MINUS) {
        // Translate simple arithmetic.
        final List<RexNode> operands = ((RexCall) expression).getOperands();
        final String lhsExpression = toMathExpression(rowOrder, operands.get(0));
        final String rhsExpression = toMathExpression(rowOrder, operands.get(1));
        if (lhsExpression == null || rhsExpression == null) {
            return null;
        }
        final String op = ImmutableMap.of(SqlKind.TIMES, "*", SqlKind.DIVIDE, "/", SqlKind.PLUS, "+", SqlKind.MINUS, "-").get(kind);
        return String.format("(%s %s %s)", lhsExpression, op, rhsExpression);
    } else if (kind == SqlKind.OTHER_FUNCTION) {
        final String calciteFunction = ((RexCall) expression).getOperator().getName();
        final String druidFunction = MATH_FUNCTIONS.get(calciteFunction);
        final List<String> functionArgs = Lists.newArrayList();
        for (final RexNode operand : ((RexCall) expression).getOperands()) {
            final String operandExpression = toMathExpression(rowOrder, operand);
            if (operandExpression == null) {
                return null;
            }
            functionArgs.add(operandExpression);
        }
        if ("MOD".equals(calciteFunction)) {
            // Special handling for MOD, which is a function in Calcite but a binary operator in Druid.
            Preconditions.checkState(functionArgs.size() == 2, "WTF?! Expected 2 args for MOD.");
            return String.format("(%s %s %s)", functionArgs.get(0), "%", functionArgs.get(1));
        }
        if (druidFunction == null) {
            return null;
        }
        return String.format("%s(%s)", druidFunction, Joiner.on(", ").join(functionArgs));
    } else if (kind == SqlKind.LITERAL) {
        // Translate literal.
        if (SqlTypeName.NUMERIC_TYPES.contains(sqlTypeName)) {
            // Include literal numbers as-is.
            return String.valueOf(RexLiteral.value(expression));
        } else if (SqlTypeName.STRING_TYPES.contains(sqlTypeName)) {
            // Quote literal strings.
            return "\'" + escape(RexLiteral.stringValue(expression)) + "\'";
        } else {
            // Can't translate other literals.
            return null;
        }
    } else {
        // Can't translate other kinds of expressions.
        return null;
    }
}

Example 23 with RexNode

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rex.RexNode in project druid by druid-io.

the class Expressions method toPostAggregator.

/**
   * Translate a Calcite row-expression to a Druid PostAggregator. One day, when possible, this could be folded
   * into {@link #toRowExtraction(DruidOperatorTable, PlannerContext, List, RexNode)} .
   *
   * @param name                              name of the PostAggregator
   * @param rowOrder                          order of fields in the Druid rows to be extracted from
   * @param finalizingPostAggregatorFactories post-aggregators that should be used for specific entries in rowOrder.
   *                                          May be empty, and individual values may be null. Missing or null values
   *                                          will lead to creation of {@link FieldAccessPostAggregator}.
   * @param expression                        expression meant to be applied on top of the rows
   *
   * @return PostAggregator or null if not possible
   */
public static PostAggregator toPostAggregator(final String name, final List<String> rowOrder, final List<PostAggregatorFactory> finalizingPostAggregatorFactories, final RexNode expression) {
    final PostAggregator retVal;
    if (expression.getKind() == SqlKind.INPUT_REF) {
        final RexInputRef ref = (RexInputRef) expression;
        final PostAggregatorFactory finalizingPostAggregatorFactory = finalizingPostAggregatorFactories.get(ref.getIndex());
        retVal = finalizingPostAggregatorFactory != null ? finalizingPostAggregatorFactory.factorize(name) : new FieldAccessPostAggregator(name, rowOrder.get(ref.getIndex()));
    } else if (expression.getKind() == SqlKind.CAST) {
        // Ignore CAST when translating to PostAggregators and hope for the best. They are really loosey-goosey with
        // types internally and there isn't much we can do to respect
        // TODO(gianm): Probably not a good idea to ignore CAST like this.
        final RexNode operand = ((RexCall) expression).getOperands().get(0);
        retVal = toPostAggregator(name, rowOrder, finalizingPostAggregatorFactories, operand);
    } else if (expression.getKind() == SqlKind.LITERAL && SqlTypeName.NUMERIC_TYPES.contains(expression.getType().getSqlTypeName())) {
        retVal = new ConstantPostAggregator(name, (Number) RexLiteral.value(expression));
    } else if (expression.getKind() == SqlKind.TIMES || expression.getKind() == SqlKind.DIVIDE || expression.getKind() == SqlKind.PLUS || expression.getKind() == SqlKind.MINUS) {
        final String fnName = ImmutableMap.<SqlKind, String>builder().put(SqlKind.TIMES, "*").put(SqlKind.DIVIDE, "quotient").put(SqlKind.PLUS, "+").put(SqlKind.MINUS, "-").build().get(expression.getKind());
        final List<PostAggregator> operands = Lists.newArrayList();
        for (RexNode operand : ((RexCall) expression).getOperands()) {
            final PostAggregator translatedOperand = toPostAggregator(null, rowOrder, finalizingPostAggregatorFactories, operand);
            if (translatedOperand == null) {
                return null;
            }
            operands.add(translatedOperand);
        }
        retVal = new ArithmeticPostAggregator(name, fnName, operands);
    } else {
        // Try converting to a math expression.
        final String mathExpression = Expressions.toMathExpression(rowOrder, expression);
        if (mathExpression == null) {
            retVal = null;
        } else {
            retVal = new ExpressionPostAggregator(name, mathExpression);
        }
    }
    if (retVal != null && name != null && !name.equals(retVal.getName())) {
        throw new ISE("WTF?! Was about to return a PostAggregator with bad name, [%s] != [%s]", name, retVal.getName());
    }
    return retVal;
}

Example 24 with RexNode

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rex.RexNode in project druid by druid-io.

the class Expressions method toRowExtraction.

/**
   * Translate a Calcite row-expression to a Druid row extraction. Note that this signature will probably need to
   * change once we support extractions from multiple columns.
   *
   * @param plannerContext SQL planner context
   * @param rowOrder       order of fields in the Druid rows to be extracted from
   * @param expression     expression meant to be applied on top of the rows
   *
   * @return RowExtraction or null if not possible
   */
public static RowExtraction toRowExtraction(final DruidOperatorTable operatorTable, final PlannerContext plannerContext, final List<String> rowOrder, final RexNode expression) {
    if (expression.getKind() == SqlKind.INPUT_REF) {
        final RexInputRef ref = (RexInputRef) expression;
        final String columnName = rowOrder.get(ref.getIndex());
        if (columnName == null) {
            throw new ISE("WTF?! Expression referred to nonexistent index[%d]", ref.getIndex());
        }
        return RowExtraction.of(columnName, null);
    } else if (expression.getKind() == SqlKind.CAST) {
        final RexNode operand = ((RexCall) expression).getOperands().get(0);
        if (expression.getType().getSqlTypeName() == SqlTypeName.DATE && operand.getType().getSqlTypeName() == SqlTypeName.TIMESTAMP) {
            // Handling casting TIMESTAMP to DATE by flooring to DAY.
            return FloorExtractionOperator.applyTimestampFloor(toRowExtraction(operatorTable, plannerContext, rowOrder, operand), TimeUnits.toQueryGranularity(TimeUnitRange.DAY, plannerContext.getTimeZone()));
        } else {
            // TODO(gianm): Probably not a good idea to ignore other CASTs like this.
            return toRowExtraction(operatorTable, plannerContext, rowOrder, ((RexCall) expression).getOperands().get(0));
        }
    } else {
        // Try conversion using a SqlExtractionOperator.
        final RowExtraction retVal;
        if (expression instanceof RexCall) {
            final SqlExtractionOperator extractionOperator = operatorTable.lookupExtractionOperator(expression.getKind(), ((RexCall) expression).getOperator().getName());
            retVal = extractionOperator != null ? extractionOperator.convert(operatorTable, plannerContext, rowOrder, expression) : null;
        } else {
            retVal = null;
        }
        return retVal;
    }
}

Example 25 with RexNode

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rex.RexNode in project druid by druid-io.

the class FloorExtractionOperator method convert.

@Override
public RowExtraction convert(final DruidOperatorTable operatorTable, final PlannerContext plannerContext, final List<String> rowOrder, final RexNode expression) {
    final RexCall call = (RexCall) expression;
    final RexNode arg = call.getOperands().get(0);
    final RowExtraction rex = Expressions.toRowExtraction(operatorTable, plannerContext, rowOrder, arg);
    if (rex == null) {
        return null;
    } else if (call.getOperands().size() == 1) {
        // FLOOR(expr)
        return RowExtraction.of(rex.getColumn(), ExtractionFns.compose(new BucketExtractionFn(1.0, 0.0), rex.getExtractionFn()));
    } else if (call.getOperands().size() == 2) {
        // FLOOR(expr TO timeUnit)
        final RexLiteral flag = (RexLiteral) call.getOperands().get(1);
        final TimeUnitRange timeUnit = (TimeUnitRange) flag.getValue();
        return applyTimestampFloor(rex, TimeUnits.toQueryGranularity(timeUnit, plannerContext.getTimeZone()));
    } else {
        // WTF? FLOOR with 3 arguments?
        return null;
    }
}