Examples with ResolvedExpression org.apache.flink.table.expressions.ResolvedExpression used on opensource projects

Example 16 with ResolvedExpression

use of org.apache.flink.table.expressions.ResolvedExpression in project flink by apache.

the class ValuesOperationFactory method create.

/**
 * Creates a valid {@link ValuesQueryOperation} operation.
 *
 * <p>It derives a row type based on {@link LogicalTypeMerging}. It flattens any row
 * constructors. It does not flatten ROWs which are a result of e.g. a function call.
 *
 * <p>The resulting schema can be provided manually. If it is not, the schema will be
 * automatically derived from the types of the expressions.
 */
QueryOperation create(@Nullable ResolvedSchema expectedSchema, List<ResolvedExpression> resolvedExpressions, ExpressionResolver.PostResolverFactory postResolverFactory) {
    List<List<ResolvedExpression>> resolvedRows = unwrapFromRowConstructor(resolvedExpressions);
    if (expectedSchema != null) {
        verifyAllSameSize(resolvedRows, expectedSchema.getColumnCount());
    }
    ResolvedSchema schema = Optional.ofNullable(expectedSchema).orElseGet(() -> extractSchema(resolvedRows));
    List<List<ResolvedExpression>> castedExpressions = resolvedRows.stream().map(row -> convertTopLevelExpressionToExpectedRowType(postResolverFactory, schema.getColumnDataTypes(), row)).collect(Collectors.toList());
    return new ValuesQueryOperation(castedExpressions, schema);
}

Example 17 with ResolvedExpression

use of org.apache.flink.table.expressions.ResolvedExpression in project flink by apache.

the class OperationTreeBuilder method joinLateral.

public QueryOperation joinLateral(QueryOperation left, Expression tableFunction, JoinType joinType, Optional<Expression> condition) {
    ExpressionResolver resolver = getResolver(left);
    ResolvedExpression resolvedFunction = resolveSingleExpression(tableFunction, resolver);
    QueryOperation temporalTable = calculatedTableFactory.create(resolvedFunction, left.getResolvedSchema().getColumnNames());
    return join(left, temporalTable, joinType, condition, true);
}

Example 18 with ResolvedExpression

use of org.apache.flink.table.expressions.ResolvedExpression in project flink by apache.

the class OperationTreeBuilder method flatMap.

public QueryOperation flatMap(Expression tableFunctionCall, QueryOperation child) {
    final ExpressionResolver resolver = getResolverBuilder(child).build();
    final ResolvedExpression resolvedCall = resolveSingleExpression(tableFunctionCall, resolver);
    if (!isFunctionOfKind(resolvedCall, FunctionKind.TABLE)) {
        throw new ValidationException("Only a table function can be used in the flatMap operator.");
    }
    final List<String> originFieldNames = DataTypeUtils.flattenToNames(resolvedCall.getOutputDataType());
    List<String> childFields = child.getResolvedSchema().getColumnNames();
    Set<String> usedFieldNames = new HashSet<>(childFields);
    List<Expression> args = new ArrayList<>();
    for (String originFieldName : originFieldNames) {
        String resultName = getUniqueName(originFieldName, usedFieldNames);
        usedFieldNames.add(resultName);
        args.add(valueLiteral(resultName));
    }
    args.add(0, tableFunctionCall);
    Expression renamedTableFunction = unresolvedCall(BuiltInFunctionDefinitions.AS, args.toArray(new Expression[0]));
    QueryOperation joinNode = joinLateral(child, renamedTableFunction, JoinType.INNER, Optional.empty());
    QueryOperation rightNode = dropColumns(childFields.stream().map(ApiExpressionUtils::unresolvedRef).collect(Collectors.toList()), joinNode);
    return alias(originFieldNames.stream().map(ApiExpressionUtils::unresolvedRef).collect(Collectors.toList()), rightNode);
}

Example 19 with ResolvedExpression

use of org.apache.flink.table.expressions.ResolvedExpression in project flink by apache.

the class OperationTreeBuilder method windowAggregate.

public QueryOperation windowAggregate(List<Expression> groupingExpressions, GroupWindow window, List<Expression> windowProperties, Expression aggregateFunction, QueryOperation child) {
    ExpressionResolver resolver = getAggResolver(child, groupingExpressions);
    Expression resolvedAggregate = aggregateFunction.accept(lookupResolver);
    AggregateWithAlias aggregateWithAlias = resolvedAggregate.accept(new ExtractAliasAndAggregate(true, resolver));
    List<Expression> groupsAndAggregate = new ArrayList<>(groupingExpressions);
    groupsAndAggregate.add(aggregateWithAlias.aggregate);
    List<Expression> namedGroupsAndAggregate = addAliasToTheCallInAggregate(child.getResolvedSchema().getColumnNames(), groupsAndAggregate);
    // Step1: add a default name to the call in the grouping expressions, e.g., groupBy(a % 5)
    // to
    // groupBy(a % 5 as TMP_0). We need a name for every column so that to perform alias for the
    // table aggregate function in Step6.
    List<Expression> newGroupingExpressions = namedGroupsAndAggregate.subList(0, groupingExpressions.size());
    // Step2: turn agg to a named agg, because it will be verified later.
    Expression aggregateRenamed = namedGroupsAndAggregate.get(groupingExpressions.size());
    // Step3: resolve expressions, including grouping, aggregates and window properties.
    ResolvedGroupWindow resolvedWindow = aggregateOperationFactory.createResolvedWindow(window, resolver);
    ExpressionResolver resolverWithWindowReferences = getResolverBuilder(child).withLocalReferences(localRef(resolvedWindow.getAlias(), resolvedWindow.getTimeAttribute().getOutputDataType())).build();
    List<ResolvedExpression> convertedGroupings = resolverWithWindowReferences.resolve(newGroupingExpressions);
    List<ResolvedExpression> convertedAggregates = resolverWithWindowReferences.resolve(Collections.singletonList(aggregateRenamed));
    List<ResolvedExpression> convertedProperties = resolverWithWindowReferences.resolve(windowProperties);
    // Step4: create window agg operation
    QueryOperation aggregateOperation = aggregateOperationFactory.createWindowAggregate(convertedGroupings, Collections.singletonList(convertedAggregates.get(0)), convertedProperties, resolvedWindow, child);
    // Step5: flatten the aggregate function
    List<String> aggNames = aggregateOperation.getResolvedSchema().getColumnNames();
    List<Expression> flattenedExpressions = aggNames.stream().map(ApiExpressionUtils::unresolvedRef).collect(Collectors.toCollection(ArrayList::new));
    flattenedExpressions.set(groupingExpressions.size(), unresolvedCall(BuiltInFunctionDefinitions.FLATTEN, unresolvedRef(aggNames.get(groupingExpressions.size()))));
    QueryOperation flattenedProjection = this.project(flattenedExpressions, aggregateOperation);
    // window attribute.
    return aliasBackwardFields(flattenedProjection, aggregateWithAlias.aliases, groupingExpressions.size());
}

Example 20 with ResolvedExpression

use of org.apache.flink.table.expressions.ResolvedExpression in project flink by apache.

the class OperationTreeBuilder method tableAggregate.

public QueryOperation tableAggregate(List<Expression> groupingExpressions, Expression tableAggFunction, QueryOperation child) {
    // Step1: add a default name to the call in the grouping expressions, e.g., groupBy(a % 5)
    // to
    // groupBy(a % 5 as TMP_0). We need a name for every column so that to perform alias for the
    // table aggregate function in Step4.
    List<Expression> newGroupingExpressions = addAliasToTheCallInAggregate(child.getResolvedSchema().getColumnNames(), groupingExpressions);
    // Step2: resolve expressions
    ExpressionResolver resolver = getAggResolver(child, groupingExpressions);
    List<ResolvedExpression> resolvedGroupings = resolver.resolve(newGroupingExpressions);
    Tuple2<ResolvedExpression, List<String>> resolvedFunctionAndAlias = aggregateOperationFactory.extractTableAggFunctionAndAliases(resolveSingleExpression(tableAggFunction, resolver));
    // Step3: create table agg operation
    QueryOperation tableAggOperation = aggregateOperationFactory.createAggregate(resolvedGroupings, Collections.singletonList(resolvedFunctionAndAlias.f0), child);
    // Step4: add a top project to alias the output fields of the table aggregate.
    return aliasBackwardFields(tableAggOperation, resolvedFunctionAndAlias.f1, groupingExpressions.size());
}