本文整理了Java中com.facebook.presto.sql.tree.GroupBy.getGroupingElements()
方法的一些代码示例,展示了GroupBy.getGroupingElements()
的具体用法。这些代码示例主要来源于Github
/Stackoverflow
/Maven
等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。GroupBy.getGroupingElements()
方法的具体详情如下:
包路径:com.facebook.presto.sql.tree.GroupBy
类名称:GroupBy
方法名:getGroupingElements
暂无
代码示例来源:origin: prestodb/presto
@Override
protected R visitGroupBy(GroupBy node, C context)
{
for (GroupingElement groupingElement : node.getGroupingElements()) {
process(groupingElement, context);
}
return null;
}
代码示例来源:origin: prestodb/presto
append(indent, "GROUP BY " + (node.getGroupBy().get().isDistinct() ? " DISTINCT " : "") + formatGroupBy(node.getGroupBy().get().getGroupingElements())).append('\n');
代码示例来源:origin: prestodb/presto
for (GroupingElement element : node.getGroupingElements()) {
try {
int product;
代码示例来源:origin: prestodb/presto
for (GroupingElement groupingElement : node.getGroupBy().get().getGroupingElements()) {
if (groupingElement instanceof SimpleGroupBy) {
for (Expression column : groupingElement.getExpressions()) {
代码示例来源:origin: prestodb/presto
for (GroupingElement groupingElement : node.getGroupBy().get().getGroupingElements()) {
print(indentLevel, "SimpleGroupBy");
if (groupingElement instanceof SimpleGroupBy) {
代码示例来源:origin: rakam-io/rakam
List<GroupBy> groupBy = queryBody.getGroupBy().map(value -> value.getGroupingElements().stream()
.map(item -> new GroupBy(mapper.apply(item), item.enumerateGroupingSets().toString()))
.collect(Collectors.toList())).orElse(ImmutableList.of());
代码示例来源:origin: rakam-io/rakam
@Override
protected Void visitQuerySpecification(QuerySpecification node, Integer indent) {
process(node.getSelect(), indent);
if (node.getFrom().isPresent()) {
append(indent, "FROM");
builder.append('\n');
append(indent, " ");
process(node.getFrom().get(), indent);
}
builder.append('\n');
if (node.getWhere().isPresent()) {
append(indent, "WHERE " + formatExpression(node.getWhere().get(), tableNameMapper, columnNameMapper, queryWithTables, escapeIdentifier))
.append('\n');
}
if (node.getGroupBy().isPresent()) {
append(indent, "GROUP BY " + (node.getGroupBy().get().isDistinct() ? " DISTINCT " : "") + formatGroupBy(node.getGroupBy().get().getGroupingElements())).append('\n');
}
if (node.getHaving().isPresent()) {
append(indent, "HAVING " + formatExpression(node.getHaving().get(), tableNameMapper, columnNameMapper, queryWithTables, escapeIdentifier))
.append('\n');
}
if (node.getOrderBy().isPresent()) {
process(node.getOrderBy().get(), indent);
}
if (node.getLimit().isPresent()) {
append(indent, "LIMIT " + node.getLimit().get())
.append('\n');
}
return null;
}
代码示例来源:origin: rakam-io/rakam
QuerySpecification node = (QuerySpecification) queryBody;
node.getGroupBy().ifPresent(groupBy -> {
for (GroupingElement groupingElement : groupBy.getGroupingElements()) {
for (Set<Expression> expressions : groupingElement.enumerateGroupingSets()) {
for (Expression expression : expressions) {
代码示例来源:origin: com.facebook.presto/presto-parser
@Override
protected R visitGroupBy(GroupBy node, C context)
{
for (GroupingElement groupingElement : node.getGroupingElements()) {
process(groupingElement, context);
}
return null;
}
代码示例来源:origin: uk.co.nichesolutions.presto/presto-main
private List<List<FieldOrExpression>> analyzeGroupBy(QuerySpecification node, RelationType tupleDescriptor, AnalysisContext context, List<FieldOrExpression> outputExpressions)
{
List<Set<Expression>> computedGroupingSets = ImmutableList.of(); // empty list = no aggregations
if (node.getGroupBy().isPresent()) {
List<List<Set<Expression>>> enumeratedGroupingSets = node.getGroupBy().get().getGroupingElements().stream()
.map(GroupingElement::enumerateGroupingSets)
.collect(toImmutableList());
// compute cross product of enumerated grouping sets, if there are any
computedGroupingSets = computeGroupingSetsCrossProduct(enumeratedGroupingSets, node.getGroupBy().get().isDistinct());
checkState(!computedGroupingSets.isEmpty(), "computed grouping sets cannot be empty");
}
else if (!extractAggregates(node).isEmpty()) {
// if there are aggregates, but no group by, create a grand total grouping set (global aggregation)
computedGroupingSets = ImmutableList.of(ImmutableSet.of());
}
List<List<FieldOrExpression>> analyzedGroupingSets = computedGroupingSets.stream()
.map(groupingSet -> analyzeGroupingColumns(groupingSet, node, tupleDescriptor, context, outputExpressions))
.collect(toImmutableList());
analysis.setGroupingSets(node, analyzedGroupingSets);
return analyzedGroupingSets;
}
代码示例来源:origin: uk.co.nichesolutions.presto/presto-parser
append(indent, "GROUP BY " + (node.getGroupBy().get().isDistinct() ? " DISTINCT " : "") + formatGroupBy(node.getGroupBy().get().getGroupingElements())).append('\n');
代码示例来源:origin: com.facebook.presto/presto-parser
append(indent, "GROUP BY " + (node.getGroupBy().get().isDistinct() ? " DISTINCT " : "") + formatGroupBy(node.getGroupBy().get().getGroupingElements())).append('\n');
代码示例来源:origin: uk.co.nichesolutions.presto/presto-parser
@Override
protected R visitQuerySpecification(QuerySpecification node, C context)
{
process(node.getSelect(), context);
if (node.getFrom().isPresent()) {
process(node.getFrom().get(), context);
}
if (node.getWhere().isPresent()) {
process(node.getWhere().get(), context);
}
if (node.getGroupBy().isPresent()) {
for (GroupingElement groupingElement : node.getGroupBy().get().getGroupingElements()) {
process(groupingElement, context);
}
}
if (node.getHaving().isPresent()) {
process(node.getHaving().get(), context);
}
for (SortItem sortItem : node.getOrderBy()) {
process(sortItem, context);
}
return null;
}
代码示例来源:origin: com.facebook.presto/presto-parser
for (GroupingElement groupingElement : node.getGroupBy().get().getGroupingElements()) {
print(indentLevel, "SimpleGroupBy");
if (groupingElement instanceof SimpleGroupBy) {
代码示例来源:origin: uk.co.nichesolutions.presto/presto-parser
for (GroupingElement groupingElement : node.getGroupBy().get().getGroupingElements()) {
print(indentLevel, "SimpleGroupBy");
if (groupingElement instanceof SimpleGroupBy) {
代码示例来源:origin: Anchormen/sql4es
if(node.getGroupBy() != null && node.getGroupBy().isPresent() && node.getGroupBy().get().getGroupingElements().size() > 0){
aggregation = groupParser.parse(node.getGroupBy().get().getGroupingElements(), state);
}else if(heading.aggregateOnly()){
if(state.isCountDistinct())
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