org.apache.metamodel.data.DataSet.getSelectItems()方法的使用及代码示例

x33g5p2x  于2022-01-18 转载在 其他  
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本文整理了Java中org.apache.metamodel.data.DataSet.getSelectItems()方法的一些代码示例，展示了DataSet.getSelectItems()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。DataSet.getSelectItems()方法的具体详情如下：
包路径：org.apache.metamodel.data.DataSet
类名称：DataSet
方法名：getSelectItems

DataSet.getSelectItems介绍

暂无

代码示例

代码示例来源：origin: org.apache.metamodel/MetaModel-core

public DataSetTableModel(DataSet dataSet) {
  _dataSet = dataSet;
  _selectItems = dataSet.getSelectItems();
  _materialized = false;
}

代码示例来源：origin: apache/metamodel

public DataSetTableModel(DataSet dataSet) {
  _dataSet = dataSet;
  _selectItems = dataSet.getSelectItems();
  _materialized = false;
}

代码示例来源：origin: org.apache.metamodel/MetaModel-core

public ConvertedDataSet(DataSet dataSet, TypeConverter<?, ?>[] converters) {
  super(dataSet.getSelectItems());
  _dataSet = dataSet;
  _converters = converters;
}

代码示例来源：origin: apache/metamodel

public ConvertedDataSet(DataSet dataSet, TypeConverter<?, ?>[] converters) {
  super(dataSet.getSelectItems());
  _dataSet = dataSet;
  _converters = converters;
}

代码示例来源：origin: apache/metamodel

public ScalarFunctionDataSet(List<SelectItem> scalarFunctionSelectItemsToEvaluate, DataSet dataSet) {
  super(CollectionUtils.concat(false, scalarFunctionSelectItemsToEvaluate,
      dataSet.getSelectItems()));
  _scalarFunctionSelectItemsToEvaluate = scalarFunctionSelectItemsToEvaluate;
  _dataSet = dataSet;
}

代码示例来源：origin: org.apache.metamodel/MetaModel-core

public static DataSet getDistinct(DataSet dataSet) {
  List<SelectItem> selectItems = dataSet.getSelectItems();
  List<GroupByItem> groupByItems = selectItems.stream().map(GroupByItem::new).collect(Collectors.toList());
  return getGrouped(selectItems, dataSet, groupByItems);
}

代码示例来源：origin: org.apache.metamodel/MetaModel-core

public ScalarFunctionDataSet(List<SelectItem> scalarFunctionSelectItemsToEvaluate, DataSet dataSet) {
  super(CollectionUtils.concat(false, scalarFunctionSelectItemsToEvaluate,
      dataSet.getSelectItems()));
  _scalarFunctionSelectItemsToEvaluate = scalarFunctionSelectItemsToEvaluate;
  _dataSet = dataSet;
}

代码示例来源：origin: apache/metamodel

public static DataSet getDistinct(DataSet dataSet) {
  List<SelectItem> selectItems = dataSet.getSelectItems();
  List<GroupByItem> groupByItems = selectItems.stream().map(GroupByItem::new).collect(Collectors.toList());
  return getGrouped(selectItems, dataSet, groupByItems);
}

代码示例来源：origin: org.eobjects.datacleaner/DataCleaner-monitor-services

private Object createTableMap(DataSet dataSet) {
  final Map<String, Object> map = new HashMap<>();
  map.put("header", createColumnHeaderList(dataSet.getSelectItems()));
  map.put("rows", createRowList(dataSet));
  return map;
}

代码示例来源：origin: apache/metamodel

/**
 * Performs a right join (aka right outer join) operation on two datasets.
 * 
 * @param ds1 the left dataset
 * @param ds2 the right dataset
 * @param onConditions the conditions to join by
 * @return the right joined result dataset
 */
public static DataSet getRightJoin(DataSet ds1, DataSet ds2, FilterItem[] onConditions) {
  List<SelectItem> ds1selects = ds1.getSelectItems();
  List<SelectItem> ds2selects = ds2.getSelectItems();
  List<SelectItem> leftOrderedSelects = new ArrayList<>();
  leftOrderedSelects.addAll(ds1selects);
  leftOrderedSelects.addAll(ds2selects);
  // We will reuse the left join algorithm (but switch the datasets
  // around)
  DataSet dataSet = getLeftJoin(ds2, ds1, onConditions);
  dataSet = getSelection(leftOrderedSelects, dataSet);
  return dataSet;
}

代码示例来源：origin: org.apache.metamodel/MetaModel-core

/**
 * Performs a right join (aka right outer join) operation on two datasets.
 * 
 * @param ds1 the left dataset
 * @param ds2 the right dataset
 * @param onConditions the conditions to join by
 * @return the right joined result dataset
 */
public static DataSet getRightJoin(DataSet ds1, DataSet ds2, FilterItem[] onConditions) {
  List<SelectItem> ds1selects = ds1.getSelectItems();
  List<SelectItem> ds2selects = ds2.getSelectItems();
  List<SelectItem> leftOrderedSelects = new ArrayList<>();
  leftOrderedSelects.addAll(ds1selects);
  leftOrderedSelects.addAll(ds2selects);
  // We will reuse the left join algorithm (but switch the datasets
  // around)
  DataSet dataSet = getLeftJoin(ds2, ds1, onConditions);
  dataSet = getSelection(leftOrderedSelects, dataSet);
  return dataSet;
}

代码示例来源：origin: apache/metamodel

@Override
public boolean next() {
  if (_iterator == null) {
    _iterator = _dataSetProviders.iterator();
  }
  while (_currentDataSet == null || !_currentDataSet.next()) {
    if (!_iterator.hasNext()) {
      _currentDataSet = null;
      return false;
    }
    _currentDataSet = _iterator.next().get();
    assert getHeader().size() == _currentDataSet.getSelectItems().size();
  }
  return true;
}

代码示例来源：origin: org.eobjects.datacleaner/DataCleaner-monitor-services

private List<String> createRowValueList(DataSet dataSet) {
  final List<String> values = new ArrayList<>();
  Row row = dataSet.getRow();
  for (int i = 0; i < dataSet.getSelectItems().length; i++) {
    Object value = row.getValue(i);
    values.add(ConvertToStringTransformer.transformValue(value));
  }
  return values;
}

代码示例来源：origin: org.apache.metamodel/MetaModel-core

@Override
public boolean next() {
  if (_iterator == null) {
    _iterator = _dataSetProviders.iterator();
  }
  while (_currentDataSet == null || !_currentDataSet.next()) {
    if (!_iterator.hasNext()) {
      _currentDataSet = null;
      return false;
    }
    _currentDataSet = _iterator.next().get();
    assert getHeader().size() == _currentDataSet.getSelectItems().size();
  }
  return true;
}

代码示例来源：origin: apache/metamodel

/**
 * Constructor appropriate for dataset implementations that wrap other
 * datasets, such as the {@link MaxRowsDataSet}, {@link FilteredDataSet} and
 * more.
 * 
 * @param dataSet
 */
public AbstractDataSet(DataSet dataSet) {
  if (dataSet instanceof AbstractDataSet) {
    _header = ((AbstractDataSet) dataSet).getHeader();
  } else {
    _header = new CachingDataSetHeader(dataSet.getSelectItems());
  }
}

代码示例来源：origin: org.apache.metamodel/MetaModel-core

/**
 * Constructor appropriate for dataset implementations that wrap other
 * datasets, such as the {@link MaxRowsDataSet}, {@link FilteredDataSet} and
 * more.
 * 
 * @param dataSet
 */
public AbstractDataSet(DataSet dataSet) {
  if (dataSet instanceof AbstractDataSet) {
    _header = ((AbstractDataSet) dataSet).getHeader();
  } else {
    _header = new CachingDataSetHeader(dataSet.getSelectItems());
  }
}

代码示例来源：origin: org.apache.metamodel/MetaModel-core

@Override
public final DataSet intercept(DataSet dataSet) {
  Map<Column, TypeConverter<?, ?>> converters = getConverters(dataSet);
  if (converters.isEmpty()) {
    return dataSet;
  }
  boolean hasConverter = false;
  List<SelectItem> selectItems = dataSet.getSelectItems();
  TypeConverter<?, ?>[] converterArray = new TypeConverter[selectItems.size()];
  for (int i = 0; i < selectItems.size(); i++) {
    SelectItem selectItem = selectItems.get(i);
    Column column = selectItem.getColumn();
    if (column != null && selectItem.getAggregateFunction() == null) {
      TypeConverter<?, ?> converter = converters.get(column);
      if (converter != null) {
        hasConverter = true;
        converterArray[i] = converter;
      }
    }
  }
  if (!hasConverter) {
    return dataSet;
  }
  return new ConvertedDataSet(dataSet, converterArray);
}

代码示例来源：origin: org.apache.metamodel/MetaModel-core

public static DataSet getSelection(final List<SelectItem> selectItems, final DataSet dataSet) {
  final List<SelectItem> dataSetSelectItems = dataSet.getSelectItems();
  // check if the selection is already the same
  if (selectItems.equals(dataSetSelectItems)) {
    // return the DataSet unmodified
    return dataSet;
  }
  final List<SelectItem> scalarFunctionSelectItemsToEvaluate = new ArrayList<>();
  for (SelectItem selectItem : selectItems) {
    if (selectItem.getScalarFunction() != null) {
      if (!dataSetSelectItems.contains(selectItem)
          && dataSetSelectItems.contains(selectItem.replaceFunction(null))) {
        scalarFunctionSelectItemsToEvaluate.add(selectItem);
      }
    }
  }
  if (scalarFunctionSelectItemsToEvaluate.isEmpty()) {
    return new SubSelectionDataSet(selectItems, dataSet);
  }
  final ScalarFunctionDataSet scalaFunctionDataSet =
      new ScalarFunctionDataSet(scalarFunctionSelectItemsToEvaluate, dataSet);
  return new SubSelectionDataSet(selectItems, scalaFunctionDataSet);
}

代码示例来源：origin: apache/metamodel

public static DataSet getSelection(final List<SelectItem> selectItems, final DataSet dataSet) {
  final List<SelectItem> dataSetSelectItems = dataSet.getSelectItems();
  // check if the selection is already the same
  if (selectItems.equals(dataSetSelectItems)) {
    // return the DataSet unmodified
    return dataSet;
  }
  final List<SelectItem> scalarFunctionSelectItemsToEvaluate = new ArrayList<>();
  for (SelectItem selectItem : selectItems) {
    if (selectItem.getScalarFunction() != null) {
      if (!dataSetSelectItems.contains(selectItem)
          && dataSetSelectItems.contains(selectItem.replaceFunction(null))) {
        scalarFunctionSelectItemsToEvaluate.add(selectItem);
      }
    }
  }
  if (scalarFunctionSelectItemsToEvaluate.isEmpty()) {
    return new SubSelectionDataSet(selectItems, dataSet);
  }
  final ScalarFunctionDataSet scalaFunctionDataSet =
      new ScalarFunctionDataSet(scalarFunctionSelectItemsToEvaluate, dataSet);
  return new SubSelectionDataSet(selectItems, scalaFunctionDataSet);
}

代码示例来源：origin: apache/metamodel

public static DataSet getFiltered(DataSet dataSet, Collection<FilterItem> filterItems) {
  if (filterItems == null || filterItems.isEmpty()) {
    return dataSet;
  }
  final List<SelectItem> selectItemsOnOutput = dataSet.getSelectItems();
  final Iterable<SelectItem> selectItems =
      filterItems.stream().map(f -> f.getSelectItem()).filter(s -> s != null)::iterator;
  final List<SelectItem> scalarFunctionSelectItems =
      getUnmaterializedScalarFunctionSelectItems(selectItems, dataSet);
  final boolean calculateScalarFunctions = !scalarFunctionSelectItems.isEmpty();
  if (calculateScalarFunctions) {
    // scalar functions are needed in evaluation of the filters
    dataSet = new ScalarFunctionDataSet(scalarFunctionSelectItems, dataSet);
  }
  final FilteredDataSet filteredDataSet = new FilteredDataSet(dataSet, filterItems);
  if (calculateScalarFunctions) {
    return getSelection(selectItemsOnOutput, filteredDataSet);
  } else {
    return filteredDataSet;
  }
}

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