listUtils:
package com.icil.report.utils; import java.lang.reflect.Method; import java.util.ArrayList; import java.util.Collection; import java.util.HashMap; import java.util.Iterator; import java.util.List; import java.util.Map; import java.util.Map.Entry; import java.util.Set; import java.util.stream.Collectors; import org.apache.commons.lang3.StringUtils; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.BeanUtils; /** * ************************************************************************* * <PRE> * @ClassName: : ListUtil * * @Description: : * * @Creation Date : 13 May 2019 2:48:52 PM * * @Author : Sea * * * </PRE> ************************************************************************** */ public class ListUtil{ private static Logger LOGGER=LoggerFactory.getLogger(ListUtil.class); /** * 分组依据接口，用于集合分组时，获取分组 * T为要groupBy属性是类型，这个返回值为要groupBy的属性值 */ public interface GroupBy<T> { T groupBy(Object obj) ; } /** * 通过属性对集合分组 * @param colls * @param gb * @return * extends Comparable<T> */ public static final <T,D> Map<T ,List<D>> groupBy(Collection<D> colls ,GroupBy<T> gb){ Map<T ,List<D>> map = new HashMap<T, List<D>>(); Iterator<D> iter = colls.iterator() ; while(iter.hasNext()) { D d = iter.next() ; T t = gb.groupBy(d) ; if(map.containsKey(t)) { map.get(t).add(d) ; } else { List<D> list = new ArrayList<D>() ; list.add(d) ; map.put(t, list) ; } } return map ; } /** * 通过属性名称对集合分组 * @param colls * @param fieldName为集合中对象的属性名称 * @return * extends Comparable<T> */ @SuppressWarnings("unchecked") public static final <T,D> Map<T ,Long> groupByAndCounts(Collection<D> colls ,String fieldName){ Map<Object, List<D>> groupBy = groupBy(colls,fieldName); HashMap<T,Long> hashMap = new HashMap<>(); for (Entry<Object, List<D>> entry : groupBy.entrySet()) { hashMap.put((T) entry.getKey(), (long) entry.getValue().size()); } return hashMap; } /** * 通过属性名称对集合分组 添加合并 blank * @param colls * @param fieldName为集合中对象的属性名称 * @return * extends Comparable<T> */ @SuppressWarnings("unchecked") public static final <T,D> Map<T ,Long> groupByAndCounting(Collection<D> colls ,String fieldName){ Map<Object, List<D>> groupBy = groupBy(colls,fieldName); HashMap<T,Long> hashMap = new HashMap<>(); for (Entry<Object, List<D>> entry : groupBy.entrySet()) { hashMap.put((T) entry.getKey(), (long) entry.getValue().size()); } //合并对个空key '' ; ' ' ; null /** * find all null key and sum those value */ Long totalNullSize=0l; List<T> nullkeyList=new ArrayList<>(); for (Entry<T, Long> entry : hashMap.entrySet()) { T key = entry.getKey(); if(key==null){ totalNullSize=entry.getValue()+totalNullSize; nullkeyList.add(key); }else { if(StringUtils.isBlank(key.toString())){ totalNullSize=entry.getValue()+totalNullSize; nullkeyList.add(key); } } } /** * remove all null */ for (T key : nullkeyList) { hashMap.remove(key); } if(totalNullSize!=0){ hashMap.put((T)(" "), totalNullSize); } return hashMap; } /** * 通过属性名称对集合分组 * @param colls * @param fieldName为集合中对象的属性名称 * @return * extends Comparable<T> */ public static final <T,D> Map<T ,List<D>> groupBy(Collection<D> colls ,String fieldName){ return groupBy(colls,new GroupBy<T>(){ @Override public T groupBy(Object obj){ Object v=getFieldValueByName(obj,fieldName); return (T)v; } }); } /** * 根据属性名称获取属性值 * */ public static Object getFieldValueByName(Object o,String fieldName) { try { String firstLetter = fieldName.substring(0, 1).toUpperCase(); String getter = "get" + firstLetter + fieldName.substring(1); Method method = o.getClass().getMethod(getter, new Class[] {}); Object value = method.invoke(o, new Object[] {}); return value; } catch (Exception e) { LOGGER.error(e.getMessage(),e); return null; } } /** * 根据属性名称获取属性值 (获取long型) * */ public static Long getFieldLongValueByName(Object o,String fieldName) { try { String firstLetter = fieldName.substring(0, 1).toUpperCase(); String getter = "get" + firstLetter + fieldName.substring(1); Method method = o.getClass().getMethod(getter, new Class[] {}); Long value = (Long) method.invoke(o, new Object[] {}); return value; } catch (Exception e) { LOGGER.error(e.getMessage(),e); return null; } } /** * 通过属性名称对集合分组 * @Desc:java 8 stream api, list 会过滤掉group by filed 的非空字段 * @param colls 集合必须为对象 eg: List<Employee> * @param fieldName为集合中对象的属性名称 eg: Employee-->name * @return * extends Comparable<T> */ public static final <D> Map<Object ,List<D>> groupByPro(Collection<D> colls ,String fieldName){ //filter List<D> filterlist = colls.parallelStream().filter(r->getFieldValueByName(r,fieldName)!=null).collect(Collectors.toList()); //group by Map<Object, List<D>> collect = filterlist.stream().collect(Collectors.groupingBy(r->getFieldValueByName(r,fieldName))); return collect; } /** * 通过属性名称对集合分组统计 * @Desc:java 8 stream api, list 会过滤掉group by filed 的非空字段 * @param colls 集合必须为对象 eg: List<Employee> * @param fieldName为集合中对象的属性名称 eg: Employee-->name * @return * extends Comparable<T> */ public static final <D> Map<Object, Long> groupByAndCount(Collection<D> colls ,String fieldName){ //filter List<D> filterlist = colls.parallelStream().filter(r->getFieldValueByName(r,fieldName)!=null).collect(Collectors.toList()); //group by Map<Object, Long> collect = filterlist.parallelStream().collect(Collectors.groupingBy(r->getFieldValueByName(r,fieldName),Collectors.counting())); return collect; } /** * 通过属性名称对集合分组统计求和 * @Desc:java 8 stream api, list 会过滤掉group by filed 的非空字段 * @param colls eg: List<Employee> * @param groupByFieldName 根据那个字段分组 * @param sumFieldName 对那个字段进行求和 * @return * extends Comparable<T> */ public static final <D> Map<Object, Long> groupByAndSum(Collection<D> colls ,String groupByFieldName,String sumFieldName){ //filter List<D> filterlist = colls.parallelStream().filter(r->getFieldValueByName(r,groupByFieldName)!=null).collect(Collectors.toList()); //group by and sum Map<Object, Long> collect = filterlist.stream().collect( Collectors.groupingBy(r->getFieldValueByName(r,groupByFieldName), Collectors.summingLong(r->getFieldLongValueByName(r,sumFieldName)))); return collect; } }
ListUtils: pro
package com.icil.elsardcservice.untils; import java.lang.reflect.Method; import java.util.ArrayList; import java.util.Collection; import java.util.Date; import java.util.HashMap; import java.util.Iterator; import java.util.List; import java.util.Map; import java.util.Map.Entry; import java.util.Optional; import java.util.Set; import java.util.TreeSet; import java.util.stream.Collectors; import org.apache.commons.lang3.StringUtils; import org.slf4j.Logger; import org.slf4j.LoggerFactory; /** * ************************************************************************* * <PRE> * @ClassName: : ListUtil * * @Description: : * * @Creation Date : 13 May 2019 2:48:52 PM * * @Author : Sea * * * </PRE> ************************************************************************** */ @SuppressWarnings("all") public class ListUtil{ private static Logger LOGGER=LoggerFactory.getLogger(ListUtil.class); /** * 分组依据接口，用于集合分组时，获取分组 * T为要groupBy属性是类型，这个返回值为要groupBy的属性值 */ public interface GroupBy<T> { T groupBy(Object obj) ; } /** * 通过属性对集合分组 * @param colls * @param gb * @return * extends Comparable<T> */ public static final <T,D> Map<T ,List<D>> groupBy(Collection<D> colls ,GroupBy<T> gb){ Map<T ,List<D>> map = new HashMap<T, List<D>>(); Iterator<D> iter = colls.iterator() ; while(iter.hasNext()) { D d = iter.next() ; T t = gb.groupBy(d) ; if(map.containsKey(t)) { map.get(t).add(d) ; } else { List<D> list = new ArrayList<D>() ; list.add(d) ; map.put(t, list) ; } } return map ; } /** * 通过属性名称对集合分组 * @param colls * @param fieldName为集合中对象的属性名称 * @return * extends Comparable<T> */ public static final <T,D> Map<T ,List<D>> groupBy(Collection<D> colls ,String fieldName){ return groupBy(colls,new GroupBy<T>(){ @Override public T groupBy(Object obj){ Object v=getFieldValueByName(obj,fieldName); return (T)v; } }); } /** * 通过属性对集合分组，并对blank(null 和“ ” )的数据进行合并 * @param colls * @param gb * @return * extends Comparable<T> */ public static final <T,D> Map<T ,List<D>> groupByAndMergeBlank(Collection<D> colls ,GroupBy<T> gb){ Map<T ,List<D>> map = new HashMap<T, List<D>>(); Iterator<D> iter = colls.iterator() ; while(iter.hasNext()) { D d = iter.next() ; T t = gb.groupBy(d) ; //merge blank and null if(t!=null){ if("String".equalsIgnoreCase(t.getClass().getSimpleName())){ if(StringUtils.isBlank((CharSequence) t)){ t=null; } } } if(map.containsKey(t)) { map.get(t).add(d) ; } else { List<D> list = new ArrayList<D>() ; list.add(d) ; map.put(t, list) ; } } return map ; } /** * 通过属性名称对集合分组 * @param colls * @param fieldName为集合中对象的属性名称 * @return * extends Comparable<T> */ public static final <T,D> Map<T ,List<D>> groupByAndMergeBlank(Collection<D> colls ,String fieldName){ return groupByAndMergeBlank(colls,new GroupBy<T>(){ @Override public T groupBy(Object obj){ Object v=getFieldValueByName(obj,fieldName); return (T)v; } }); } /** * 通过属性名称对集合分组 * @param colls * @param fieldName为集合中对象的属性名称 * @return * extends Comparable<T> */ @SuppressWarnings("unchecked") public static final <T,D> Map<T ,Long> groupByAndCounts(Collection<D> colls ,String fieldName){ Map<Object, List<D>> groupBy = groupBy(colls,fieldName); HashMap<T,Long> hashMap = new HashMap<>(); for (Entry<Object, List<D>> entry : groupBy.entrySet()) { hashMap.put((T) entry.getKey(), (long) entry.getValue().size()); } return hashMap; } /** * @Desc : 例如：根据customer 分组，统计每个customer 的个数， 并且统计每个customer分组下的courier的数量(需要去重) * @param colls * @param firstfieldName * @param afterGbFieldName * @return */ @SuppressWarnings("unchecked") public static final <T,D> Map<T ,String> groupByGroupByAndCounting(Collection<D> colls ,String firstfieldName,String secondGbFieldName){ HashMap<T,String> hashMap = new HashMap<>(); Map<Object, List<D>> firstGroupBy = groupByAndMergeBlank(colls, firstfieldName); for (Entry<Object, List<D>> entry : firstGroupBy.entrySet()) { TreeSet<Object> secondFieldSet = new TreeSet<Object>(); List<D> firstfieldNamelist = entry.getValue(); for (D d : firstfieldNamelist) { Object value=getFieldValueByName(d,secondGbFieldName); secondFieldSet.add(value); } hashMap.put((T) entry.getKey(), entry.getValue().size()+","+secondFieldSet.size()); } return hashMap; } /** * @Desc:根据一个集合的filed, 去掉重复，并返回去重后改field 的集合 ,比如：List<User> 现在要提取 所有的user.name * @param colls * @param firstfieldName * @param secondGbFieldName * @return */ public static final <D> Set<D> DistinctByFiled(Collection<D> colls ,String fieldName){ TreeSet<D> distinctSet = new TreeSet<D>(); for (D d : colls) { Object value = getFieldValueByName(d, fieldName); distinctSet.add((D) value); } return distinctSet; } /** * 通过属性名称对集合分组 添加合并 blank * @param colls * @param fieldName为集合中对象的属性名称 * @return * extends Comparable<T> */ public static final <T,D> Map<T ,Long> groupByAndMergeBlankCounting(Collection<D> colls ,String fieldName){ Map<Object, List<D>> groupBy = groupByAndMergeBlank(colls,fieldName); HashMap<T,Long> hashMap = new HashMap<>(); for (Entry<Object, List<D>> entry : groupBy.entrySet()) { hashMap.put((T) entry.getKey(), (long) entry.getValue().size()); } return hashMap; } /** * 通过属性名称对集合分组 添加合并 blank 然后计数 * @param colls * @param fieldName为集合中对象的属性名称 * @return * extends Comparable<T> */ public static final <T,D> Map<T ,Long> groupByAndCounting(Collection<D> colls ,String fieldName){ Map<Object, List<D>> groupBy = groupBy(colls,fieldName); HashMap<T,Long> hashMap = new HashMap<>(); for (Entry<Object, List<D>> entry : groupBy.entrySet()) { hashMap.put((T) entry.getKey(), (long) entry.getValue().size()); } //合并对个空key '' ; ' ' ; null /** * find all null key and sum those value */ Long totalNullSize=0l; List<T> nullkeyList=new ArrayList<>(); for (Entry<T, Long> entry : hashMap.entrySet()) { T key = entry.getKey(); if(key==null){ totalNullSize=entry.getValue()+totalNullSize; nullkeyList.add(key); }else { if(StringUtils.isBlank(key.toString())){ totalNullSize=entry.getValue()+totalNullSize; nullkeyList.add(key); } } } /** * remove all null */ for (T key : nullkeyList) { hashMap.remove(key); } if(totalNullSize!=0){ hashMap.put((T)(" "), totalNullSize); } return hashMap; } /** * 根据属性名称获取属性值 * */ public static Object getFieldValueByName(Object o,String fieldName) { try { String firstLetter = fieldName.substring(0, 1).toUpperCase(); String getter = "get" + firstLetter + fieldName.substring(1); Method method = o.getClass().getMethod(getter, new Class[] {}); Object value = method.invoke(o, new Object[] {}); return value; } catch (Exception e) { LOGGER.error(e.getMessage(),e); return null; } } /** * 根据属性名称获取属性值 (获取long型) * */ public static Long getFieldLongValueByName(Object o,String fieldName) { try { String firstLetter = fieldName.substring(0, 1).toUpperCase(); String getter = "get" + firstLetter + fieldName.substring(1); Method method = o.getClass().getMethod(getter, new Class[] {}); Long value = (Long) method.invoke(o, new Object[] {}); return value; } catch (Exception e) { LOGGER.error(e.getMessage(),e); return null; } } /** * * @param pojo * @param fieldName * @param value just can be Integer(int) Double(double) Long(ong) Date String */ public static void setFieldValueByName(Object pojo,String fieldName,Object value) { try { String firstLetter = fieldName.substring(0, 1).toUpperCase(); String seter = "set" + firstLetter + fieldName.substring(1); value = Optional.ofNullable(value).orElseGet(()-> new String("null")); String simpleName = value.getClass().getSimpleName(); Class class1; switch (simpleName) { case "Integer": class1=Integer.class; break; case "Double": class1=Double.class; break; case "Long": class1=Long.class; break; case "Date": class1=Date.class; break; default: class1=String.class; break; } Method setmethod = pojo.getClass().getMethod(seter, class1); setmethod.invoke(pojo,value); } catch (Exception e) { LOGGER.error(e.getMessage(),e); } } /** * 通过属性名称对集合分组 * @Desc:java 8 stream api, list 会过滤掉group by filed 的非空字段 * @param colls 集合必须为对象 eg: List<Employee> * @param fieldName为集合中对象的属性名称 eg: Employee-->name * @return * extends Comparable<T> */ public static final <D> Map<Object ,List<D>> groupByPro(Collection<D> colls ,String fieldName){ //filter // List<D> filterlist = colls.parallelStream().filter(r->getFieldValueByName(r,fieldName)!=null).collect(Collectors.toList()); colls.parallelStream().forEach( d->{ if(ListUtil.getFieldValueByName(d, fieldName)==null){ ListUtil.setFieldValueByName(d, fieldName, "null"); } }); //group by Map<Object, List<D>> collect = colls.stream().collect(Collectors.groupingBy(r->getFieldValueByName(r,fieldName))); return collect; } /** * 通过属性名称对集合分组统计 * @Desc:java 8 stream api, list 会过滤掉group by filed 的非空字段 * @param colls 集合必须为对象 eg: List<Employee> * @param fieldName为集合中对象的属性名称 eg: Employee-->name * @return * extends Comparable<T> */ public static final <D> Map<Object, Long> groupByAndCount(Collection<D> colls ,String fieldName){ //filter List<D> filterlist = colls.parallelStream().filter(r->getFieldValueByName(r,fieldName)!=null).collect(Collectors.toList()); //group by Map<Object, Long> collect = filterlist.parallelStream().collect(Collectors.groupingBy(r->getFieldValueByName(r,fieldName),Collectors.counting())); return collect; } /** * 通过属性名称对集合分组统计求和 * @Desc:java 8 stream api, list 会过滤掉group by filed 的非空字段 * @param colls eg: List<Employee> * @param groupByFieldName 根据那个字段分组 * @param sumFieldName 对那个字段进行求和 * @return * extends Comparable<T> */ public static final <D> Map<Object, Long> groupByAndSum(Collection<D> colls ,String groupByFieldName,String sumFieldName){ //filter List<D> filterlist = colls.parallelStream().filter(r->getFieldValueByName(r,groupByFieldName)!=null).collect(Collectors.toList()); //group by and sum Map<Object, Long> collect = filterlist.stream().collect( Collectors.groupingBy(r->getFieldValueByName(r,groupByFieldName), Collectors.summingLong(r->getFieldLongValueByName(r,sumFieldName)))); return collect; } }
