一个略复杂的数据映射聚合例子及代码重构
本文内容来自真实的工作案例，因其转换略复杂，且有一定意义，故记录之。
问题###
给定一个JSON串
{
"item:s_id:18006666": "1024",
"item:s_id:18008888": "1024",
"item:g_id:18006666": "6666",
"item:g_id:18008888": "8888",
"item:num:18008888": "8",
"item:num:18006666": "6",
"item:item_core_id:18006666": "9876666",
"item:item_core_id:18008888": "9878888",
"item:order_no:18006666": "E20171013174712025",
"item:order_no:18008888": "E20171013174712025",
"item:id:18008888": "18008888",
"item:id:18006666": "18006666",
"item_core:num:9878888": "8",
"item_core:num:9876666": "6",
"item_core:id:9876666": "9876666",
"item_core:id:9878888": "9878888",
"item_price:item_id:1000": "9876666",
"item_price:item_id:2000": "9878888",
"item_price:price:1000": "100",
"item_price:price:2000": "200",
"item_price:id:2000": "2000",
"item_price:id:1000": "1000",
"item_price_change_log:id:1111": "1111",
"item_price_change_log:id:2222": "2222",
"item_price_change_log:item_id:1111": "9876666",
"item_price_change_log:item_id:2222": "9878888",
"item_price_change_log:detail:1111": "haha1111",
"item_price_change_log:detail:2222": "haha2222",
"item_price_change_log:id:3333": "3333",
"item_price_change_log:id:4444": "4444",
"item_price_change_log:item_id:3333": "9876666",
"item_price_change_log:item_id:4444": "9878888",
"item_price_change_log:detail:3333": "haha3333",
"item_price_change_log:detail:4444": "haha4444"
}
这是一个订单的两个商品的基本信息、价格信息以及计价变更信息，是从DB里的结构获取到的记录。为了企业保密性，对表、字段以及值做了简化的特殊处理。目标是将这个订单的各个商品的信息聚合在一起。 即得到：
{1024_E20171013174712025_18006666={item:id=18006666, item_price:price=100, item_price:id=1000, item_price_change_log:id=[3333, 1111], item_core:num=6, item:g_id=6666, item:item_core_id=9876666, item_price:item_id=9876666, item:order_no=E20171013174712025, item_core:id=9876666, item_price_change_log:item_id=[9876666, 9876666], item:s_id=1024, item:num=6, item_price_change_log:detail=[haha3333, haha1111]}, 1024_E20171013174712025_18008888={item:id=18008888, item_price:price=200, item_price:id=2000, item_price_change_log:id=[2222, 4444], item_core:num=8, item:g_id=8888, item:item_core_id=9878888, item_price:item_id=9878888, item:order_no=E20171013174712025, item_price_change_log:item_id=[9878888, 9878888], item:s_id=1024, item_core:id=9878888, item:num=8, item_price_change_log:detail=[haha2222, haha4444]}}
提示###
细心的读者会发现，一个商品 item 对应一个 item_core, 一个 item_price ，可能对应多个 item_price_change_log 。这三个表都是通过 item:item_core_id 来关联的，在 item 表是 item:item_core_id 字段， 在 item_price 表是 item_price:item_id 字段， 在 item_price_change_log 表是 item_price_change_log:item_id 字段。
基本思路是：
STEP1: 对于含有表 item, item_core, item_price, item_price_change_log 数据的指定JSON，构建一个总的 itemIndexMap[table:id, Map[table:field, value]]，其中 key 是 table:id, value 是一个 valMap, valMap 的键是 table:field, 值是对应的最后面的值。 table: 作为名字空间的前缀，是为了避免不同表之间的ID和field相互重合覆盖。 见方法 buildItemIndexMap 的实现。
STEP2: 从 itemIndexMap 构建 item:id 与 item:item_core_id 的映射 itemCoreId2originItemIdMap；在实际应用中， originItemId 为 oldItemId (item:id), itemCoreId 为 newItemId (item:item_core_id)；
STEP3: 对于每一个 [table:id, Map[table:field, value]], 通过 itemCoreId2originItemIdMap 拿到对应的 originitemId , 然后使用 originitemId 为键替换itemIndexMap中对应的 item_core:id, item_price:id, item_price_change_log:id，将具有相同的 originItemId 的不同的 Map[table:field, value] 进行合并后，添加到新的newItemIndexMap 中。
程序实现###
初步实现####
ItemUtil.java
package zzz.study.utils;
/**
* Created by shuqin on 17/11/10.
*/
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.HashMap;
import java.util.Map;
import java.util.Set;
import static zzz.study.utils.NewMapUtil.merge;
/**
* Created by shuqin on 17/10/23.
*/
public class ItemUtil {
private static Logger logger = LoggerFactory.getLogger(ItemUtil.class);
/**
* 构建一个订单的所有商品级别的信息以及映射
* @param multiItemInfoMapForOneOrder 一个订单下多个商品的信息
* @return 一个订单的所有商品级别的信息以及映射
*
* key 是 sID + order_no + item_id ; item_id 对应 item.id, 对应 item_core.item_core_id
*/
public static Map<String, Map<String,Object>> buildFinalOrderItemMap(Map<String,String> multiItemInfoMapForOneOrder) {
try {
return mergeOrderItemMap(buildItemIndexMap(multiItemInfoMapForOneOrder));
} catch (Exception ex) {
logger.error("failed to buildFinalOrderItemMap for: " + multiItemInfoMapForOneOrder, ex);
return new HashMap<>();
}
}
/**
* 构建一个订单的所有商品级别的信息以及映射
* @param itemInfoMap 商品级别的信息
* @return 一个订单的所有商品的信息
*
* NOTE: itemInfoMap 是对应一个订单的所有商品的信息的映射，不要传多个订单的信息进来，可能重复
*
* key = table:table_unique_id , value = map [ table:field, value ]
*
* eg. map [ item:goods_type:1800888 = 0 , item:num:1800888 = 8 ]
* will be transformed into map[item:1800888 = map[item:goods_type=0 , item:num=8]]
*/
public static Map<String,Map<String,String>> buildItemIndexMap(Map<String, String> itemInfoMap) {
Map<String, Map<String,String>> itemIndexMap = new HashMap<>();
itemInfoMap.forEach(
(key, value) -> {
String[] keyparts = key.split(":");
// 只考虑三段式 tablename:field:id
if (keyparts != null && keyparts.length == 3) {
String table = keyparts[0];
String field = keyparts[1];
String index = keyparts[2];
String indexKey = table+ ":" + index;
String fieldKey = table+":"+field;
if (itemIndexMap.get(indexKey) == null) {
itemIndexMap.put(indexKey, new HashMap<>());
}
itemIndexMap.get(indexKey).put(fieldKey, String.valueOf(value));
}
}
);
return itemIndexMap;
}
/**
* 聚合一个订单下的所有商品信息
* @param itemIndexMap 一个订单所有商品的信息映射
* @return 一个订单下的所有商品信息
*
* key 是 sID + order_no + item_id ; item_id 对应 item.id, item_core.item_core_id
*/
private static Map<String, Map<String,Object>> mergeOrderItemMap(Map<String, Map<String,String>> itemIndexMap) {
if (itemIndexMap == null || itemIndexMap.isEmpty()) {
return new HashMap<>();
}
// Map[oldItemId, newItemId]
Map<String,String> old2newItemIdMap = new HashMap<>();
Map<String,String> new2oldItemIdMap = new HashMap<>();
Set<Map.Entry<String,Map<String,String>>> entries = itemIndexMap.entrySet();
String orderNo = "";
String sID = "";
for (Map.Entry<String,Map<String,String>> entry: entries) {
String indexKey = entry.getKey();
Map<String,String> value = entry.getValue();
if (indexKey.startsWith("item:")) {
old2newItemIdMap.put(indexKey, value.get("item:item_core_id"));
new2oldItemIdMap.put(value.get("item:item_core_id"), indexKey);
orderNo = value.get("item:order_no");
sID = value.get("item:s_id");
}
}
Map<String, Map<String,Object>> newItemIndexMap = new HashMap<>();
for (Map.Entry<String,Map<String,String>> entry: entries) {
String indexKey = entry.getKey();
Map<String,String> value = entry.getValue();
if (indexKey.startsWith("item:")) {
if (newItemIndexMap.get(indexKey) == null) {
newItemIndexMap.put(indexKey, new HashMap<>());
}
newItemIndexMap.get(indexKey).putAll(value);
}
else if (indexKey.startsWith("item_core:")) {
String itemCoreId = indexKey.split(":")[1];
String oldItemId = new2oldItemIdMap.get(itemCoreId);
if (newItemIndexMap.get(oldItemId) == null) {
newItemIndexMap.put(oldItemId, new HashMap<>());
}
newItemIndexMap.get(oldItemId).putAll(value);
}
else if (indexKey.startsWith("item_price:")) {
// item_price 与 item_id 一对一关系
String itemCoreId = itemIndexMap.get(indexKey).get("item_price:item_id");
String oldItemId = new2oldItemIdMap.get(itemCoreId);
if (newItemIndexMap.get(oldItemId) == null) {
newItemIndexMap.put(oldItemId, new HashMap<>());
}
newItemIndexMap.get(oldItemId).putAll(value);
}
else if (indexKey.startsWith("item_price_change_log:")) {
// item_price_change_log 与 item_id 多对一关系
String itemCoreId = itemIndexMap.get(indexKey).get("item_price_change_log:item_id");
String oldItemId = new2oldItemIdMap.get(itemCoreId);
if (newItemIndexMap.get(oldItemId) == null) {
newItemIndexMap.put(oldItemId, new HashMap<>());
}
Map<String,Object> srcMap = newItemIndexMap.get(oldItemId);
newItemIndexMap.get(oldItemId).putAll(merge(srcMap, value));
}
}
return buildFinalOrderItemMap(newItemIndexMap, old2newItemIdMap, orderNo, sID);
}
/**
* 构建最终的订单商品信息
* @param itemIndexMap 商品信息
* @param old2newItemIdMap 新老itemId映射
* @param orderNo 订单号
* @param sID 店铺号
* @return 订单商品扩展信息
*/
private static Map<String, Map<String,Object>> buildFinalOrderItemMap(Map<String, Map<String,Object>> itemIndexMap,
Map<String,String> old2newItemIdMap,
String orderNo, String sID) {
Map<String, Map<String,Object>> finalResult = new HashMap<>();
Set<Map.Entry<String,Map<String,Object>>> entries = itemIndexMap.entrySet();
for (Map.Entry<String,Map<String,Object>> entry: entries) {
String indexKey = entry.getKey();
Map<String,Object> value = entry.getValue();
String itemId = indexKey.split(":")[1];
String itemKey = sID + "_" + orderNo + "_" + itemId;
finalResult.put(itemKey, value);
}
return finalResult;
}
}
NewMapUtil.java
package zzz.study.utils;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
* Created by shuqin on 17/11/10.
*/
public class NewMapUtil {
/**
* 将 map 的值转为字符串类型
*/
public static Map<String,String> transMap(Map<String,Object> map) {
if (map == null) { return null; }
Map<String,String> result = new HashMap<>();
map.forEach(
(k,v) -> result.put(k, v != null ? v.toString(): null)
);
return result;
}
/**
* 将两个 Map 里相同 key 的值合并为列表
*
* eg. src = ["id": 1, "detail": "haha111", "extra":"extra111"] ,
* dest = ["id": 2, "detail": "haha222", "another": "another222"]
* merge 之后返回 ["id": [1,2], "detail": ["haha111", "haha222"], "extra":"extra111", "another": "another222"]
` */
public static Map<String, ? extends Object> merge(Map<String,? extends Object> src, Map<String, ? extends Object> dest) {
if (src == null || src.size() == 0) { return dest; }
if (dest == null || dest.size() == 0) { return src; }
Map<String, Object> result = new HashMap<>();
src.forEach(
(key, value) -> {
Object valueDesc = dest.get(key);
if (valueDesc != null) {
result.put(key, mergeToList(value, valueDesc));
}
else {
result.put(key, value);
}
}
);
dest.forEach(
(key, value) -> {
if (result.get(key) == null) {
result.put(key, value);
}
}
);
return result;
}
public static List mergeToList(Object src, Object... args) {
List valList = new ArrayList();
add(valList, src);
for (Object arg: args) {
add(valList, arg);
}
return valList;
}
public static List add(List valList, Object src) {
if (src == null) { return valList; }
if (src instanceof List) {
valList.addAll((List)src);
}
else {
valList.add(src);
}
return valList;
}
}
代码重构###
可以看到，初步实现虽然实现了功能，可是代码比较乱，尤其是 mergeOrderItemMap 方法，混杂了业务表的逻辑，理解和扩展起来比较麻烦。需要仔细重构下。另外，Map的遍历访问比较啰嗦，可以更简洁一些。
使用forEach进行Map遍历####
重构从简单做起。原来使用了
Set<Map.Entry<String,Map<String,Object>>> entries = itemIndexMap.entrySet();
for (Map.Entry<String,Map<String,Object>> entry: entries) {
String indexKey = entry.getKey();
Map<String,Object> value = entry.getValue();
String itemId = indexKey.split(":")[1];
String itemKey = sID + "_" + orderNo + "_" + itemId;
finalResult.put(itemKey, value);
}
在 java8 中可使用 forEach 语法简洁表达：
itemIndexMap.forEach(
(indexKey,value) -> {
String itemId = indexKey.split(":")[1];
String itemKey = sID + "_" + orderNo + "_" + itemId;
finalResult.put(itemKey, value);
}
);
抽离通用逻辑####
里面有很多如下重复代码
if (newItemIndexMap.get(oldItemId) == null) {
newItemIndexMap.put(oldItemId, new HashMap<>());
}
newItemIndexMap.get(oldItemId).putAll(value);
实际上就是将新的item_core_id 映射成 item.id ，然后填充到新的Map，可以抽离出一个函数，然后复用。
private static void putNewIndexMap(Map<String, Map<String,Object>> newItemIndexMap,
String indexKey, Map<String,String> value, Function<String, String> getOriginItemIdFunc) {
String originItemId = getOriginItemIdFunc.apply(indexKey);
if (newItemIndexMap.get(originItemId) == null) {
newItemIndexMap.put(originItemId, new HashMap<>());
}
Map<String,Object> srcMap = newItemIndexMap.get(originItemId);
newItemIndexMap.get(originItemId).putAll(merge(srcMap, value));
}
调用： putNewIndexMap(newItemIndexMap, indexKey, value, key -> key);
配置化####
看如下代码，里面含有 item_price: , item_price:item_id 这样的业务信息，破坏了方法的通用性。
if (indexKey.startsWith("item_price:")) {
// item_price 与 item_id 一对一关系
String itemCoreId = itemIndexMap.get(indexKey).get("item_price:item_id");
}
可以抽离出来做成配置。好的配置可以让代码大大简化。仔细思考下整个过程：当 indexKey 包含某个表的前缀时，取它对应的 itemCoreId 的字段，然后得到 itemCoreId ，再根据 putNewIndexMap 方法将对应的 Map 添加到最终的Map中。见如下代码：
private static Map<String,String> itemIdConf = new HashMap() {
{
put("item", "item:item_core_id");
put("item_core", "item_core:id");
put("item_price", "item_price:item_id");
put("item_price_change_log", "item_price_change_log:item_id");
}
};
String table = indexKey.split(":")[0];
if (itemIdConf.containsKey(table)) {
String itemCoreIdField = itemIdConf.get(table);
String itemCoreId = itemIndexMap.get(indexKey).get(itemCoreIdField);
putNewIndexMap(newItemIndexMap, indexKey, value,
key -> new2oldItemIdMap.get(itemCoreId));
}
哈！if-elseif-elseif 语句消失了！此时，才说真正抓住了设计重点：将itemId 的映射抽离出来做成配置，然后其它的依此解析。
重构后的ItemUtil####
// 这个配置含有新老itemId映射的信息以及获取orderNo, sID 的字段信息
private static List<String>
itemBaseDataConf = Arrays.asList("item:", "item:item_core_id",
"item:order_no", "item:s_id");
private static Map<String,String> itemIdConf = new HashMap() {
{
put("item", "item:item_core_id");
put("item_core", "item_core:id");
put("item_price", "item_price:item_id");
put("item_price_change_log", "item_price_change_log:item_id");
}
};
/**
* 聚合一个订单下的所有商品信息
* @param itemIndexMap 一个订单所有商品的信息映射
* @return 一个订单下的所有商品信息
*
* key 是 sID + order_no + item_id ;
*/
private static Map<String, Map<String,Object>> mergeOrderItemMap(Map<String, Map<String,String>> itemIndexMap) {
if (itemIndexMap == null || itemIndexMap.isEmpty()) {
return new HashMap<>();
}
// Map[oldItemId, newItemId]
Map<String,String> old2newItemIdMap = new HashMap<>();
Map<String,String> new2oldItemIdMap = new HashMap<>();
Set<Map.Entry<String,Map<String,String>>> entries = itemIndexMap.entrySet();
String orderNo = "";
String kdtId = "";
// 构建itemID映射
for (Map.Entry<String,Map<String,String>> entry: entries) {
String indexKey = entry.getKey();
Map<String,String> value = entry.getValue();
if (indexKey.startsWith(itemBaseDataConf.get(0))) {
old2newItemIdMap.put(indexKey, value.get(itemBaseDataConf.get(1)));
new2oldItemIdMap.put(value.get(itemBaseDataConf.get(1)), indexKey);
orderNo = value.get(itemBaseDataConf.get(2));
kdtId = value.get(itemBaseDataConf.get(3));
}
}
Map<String, Map<String,Object>> newItemIndexMap = aggregationAllInfoOfEachItem(itemIndexMap, new2oldItemIdMap);
return buildFinalOrderItemMap(newItemIndexMap, old2newItemIdMap, orderNo, kdtId);
}
/*
* 聚合每个商品的所有信息
*
* Map[item:id, Map[table:field, value]]
*/
private static Map<String, Map<String,Object>> aggregationAllInfoOfEachItem(Map<String, Map<String,String>> itemIndexMap, Map<String,String> new2oldItemIdMap) {
Map<String, Map<String,Object>> newItemIndexMap = new HashMap<>();
itemIndexMap.forEach(
(indexKey, value) -> {
String table = indexKey.split(":")[0];
if (itemIdConf.containsKey(table)) {
String itemCoreIdField = itemIdConf.get(table);
String itemCoreId = itemIndexMap.get(indexKey).get(itemCoreIdField);
putNewIndexMap(newItemIndexMap, indexKey, value,
key -> new2oldItemIdMap.get(itemCoreId));
}
}
);
return newItemIndexMap;
}
/*
* 将各商品信息聚合到相应的原itemId的键下
*/
private static void putNewIndexMap(Map<String, Map<String,Object>> newItemIndexMap,
String indexKey, Map<String,String> value, Function<String, String> getOriginItemIdFunc) {
String originItemId = getOriginItemIdFunc.apply(indexKey);
if (newItemIndexMap.get(originItemId) == null) {
newItemIndexMap.put(originItemId, new HashMap<>());
}
Map<String,Object> srcMap = newItemIndexMap.get(originItemId);
newItemIndexMap.get(originItemId).putAll(merge(srcMap, value));
}
Java8特性###
Function####
可以看到，putNewIndexMap 使用了 Function 作为参数，让调用方指定如何去获取 originItemId，然后根据获取的originItemId进行通用处理。这里 Function 实现了模板方法模式。
协变####
注意到这个方法签名使用了 [ ? extends Object ]。 这里使用了协变特性。即对应参数 Map[String, ? extend Object]，既可以传入 Map[String, Object], 也可以传入 Map[String, String] ，或 Map[String, Entity] ，避免从 Map[String, Entity] 到 Map[String, Object] 的无聊转换。
public static Map<String, ? extends Object> merge(Map<String,? extends Object> src, Map<String, ? extends Object> dest)
单测###
ItemUtilTest.java
package cc.lovesq.study.test.datastructure;
import org.junit.Test;
import java.util.Arrays;
import java.util.Map;
import cc.lovesq.study.test.CommonForTest;
import zzz.study.utils.ItemUtil;
import zzz.study.utils.JsonUtil;
import zzz.study.utils.NewMapUtil;
/**
* Created by shuqin on 17/11/10.
*/
public class ItemUtilTest extends CommonForTest {
String newItemInfoStr = "{\n"
+ " \"item:s_id:18006666\": \"1024\",\n"
+ " \"item:s_id:18008888\": \"1024\",\n"
+ " \"item:g_id:18006666\": \"6666\",\n"
+ " \"item:g_id:18008888\": \"8888\",\n"
+ " \"item:num:18008888\": \"8\",\n"
+ " \"item:num:18006666\": \"6\",\n"
+ " \"item:item_core_id:18006666\": \"9876666\",\n"
+ " \"item:item_core_id:18008888\": \"9878888\",\n"
+ " \"item:order_no:18006666\": \"E20171013174712025\",\n"
+ " \"item:order_no:18008888\": \"E20171013174712025\",\n"
+ " \"item:id:18008888\": \"18008888\",\n"
+ " \"item:id:18006666\": \"18006666\",\n"
+ " \"item_core:num:9878888\": \"8\",\n"
+ " \"item_core:num:9876666\": \"6\",\n"
+ " \"item_core:id:9876666\": \"9876666\",\n"
+ " \"item_core:id:9878888\": \"9878888\",\n"
+ " \"item_price:item_id:1000\": \"9876666\",\n"
+ " \"item_price:item_id:2000\": \"9878888\",\n"
+ " \"item_price:price:1000\": \"100\",\n"
+ " \"item_price:price:2000\": \"200\",\n"
+ " \"item_price:id:2000\": \"2000\",\n"
+ " \"item_price:id:1000\": \"1000\",\n"
+ " \"item_price_change_log:id:1111\": \"1111\",\n"
+ " \"item_price_change_log:id:2222\": \"2222\",\n"
+ " \"item_price_change_log:item_id:1111\": \"9876666\",\n"
+ " \"item_price_change_log:item_id:2222\": \"9878888\",\n"
+ " \"item_price_change_log:detail:1111\": \"haha1111\",\n"
+ " \"item_price_change_log:detail:2222\": \"haha2222\",\n"
+ " \"item_price_change_log:id:3333\": \"3333\",\n"
+ " \"item_price_change_log:id:4444\": \"4444\",\n"
+ " \"item_price_change_log:item_id:3333\": \"9876666\",\n"
+ " \"item_price_change_log:item_id:4444\": \"9878888\",\n"
+ " \"item_price_change_log:detail:3333\": \"haha3333\",\n"
+ " \"item_price_change_log:detail:4444\": \"haha4444\"\n"
+ "}";
@Test
public void testBuildItemIndexMapForNew() {
Map<String,Object> itemInfoMap = JsonUtil.readMap(newItemInfoStr);
Map<String,Map<String,String>> itemIndexMap = ItemUtil
.buildItemIndexMap(NewMapUtil.transMap(itemInfoMap));
System.out.println(itemIndexMap);
eq("18006666", itemIndexMap.get("item:18006666").get("item:id"));
eq("6666", itemIndexMap.get("item:18006666").get("item:g_id"));
eq("1024", itemIndexMap.get("item:18006666").get("item:s_id"));
eq("E20171013174712025", itemIndexMap.get("item:18006666").get("item:order_no"));
eq("9876666", itemIndexMap.get("item:18006666").get("item:item_core_id"));
eq("18008888", itemIndexMap.get("item:18008888").get("item:id"));
eq("8888", itemIndexMap.get("item:18008888").get("item:g_id"));
eq("1024", itemIndexMap.get("item:18008888").get("item:s_id"));
eq("E20171013174712025", itemIndexMap.get("item:18008888").get("item:order_no"));
eq("9878888", itemIndexMap.get("item:18008888").get("item:item_core_id"));
eq("9876666", itemIndexMap.get("item_core:9876666").get("item_core:id"));
eq("6", itemIndexMap.get("item_core:9876666").get("item_core:num"));
eq("9878888", itemIndexMap.get("item_core:9878888").get("item_core:id"));
eq("8", itemIndexMap.get("item_core:9878888").get("item_core:num"));
eq("9876666", itemIndexMap.get("item_price:1000").get("item_price:item_id"));
eq("1000", itemIndexMap.get("item_price:1000").get("item_price:id"));
eq("100", itemIndexMap.get("item_price:1000").get("item_price:price"));
eq("9878888", itemIndexMap.get("item_price:2000").get("item_price:item_id"));
eq("2000", itemIndexMap.get("item_price:2000").get("item_price:id"));
eq("200", itemIndexMap.get("item_price:2000").get("item_price:price"));
eq("9876666", itemIndexMap.get("item_price_change_log:1111").get("item_price_change_log:item_id"));
eq("haha1111", itemIndexMap.get("item_price_change_log:1111").get("item_price_change_log:detail"));
eq("9878888", itemIndexMap.get("item_price_change_log:2222").get("item_price_change_log:item_id"));
eq("haha2222", itemIndexMap.get("item_price_change_log:2222").get("item_price_change_log:detail"));
eq("9876666", itemIndexMap.get("item_price_change_log:3333").get("item_price_change_log:item_id"));
eq("haha3333", itemIndexMap.get("item_price_change_log:3333").get("item_price_change_log:detail"));
eq("9878888", itemIndexMap.get("item_price_change_log:4444").get("item_price_change_log:item_id"));
eq("haha4444", itemIndexMap.get("item_price_change_log:4444").get("item_price_change_log:detail"));
}
@Test
public void testBuildFinalOrderItemMapForNew() {
Map<String,Object> itemInfoMap = JsonUtil.readMap(newItemInfoStr);
Map<String, Map<String,Object>> finalOrderItemMap = ItemUtil
.buildFinalOrderItemMap(NewMapUtil.transMap(itemInfoMap));
System.out.println(finalOrderItemMap);
eq("18006666", finalOrderItemMap.get("1024_E20171013174712025_18006666").get("item:id"));
eq("6666", finalOrderItemMap.get("1024_E20171013174712025_18006666").get("item:g_id"));
eq("1024", finalOrderItemMap.get("1024_E20171013174712025_18006666").get("item:s_id"));
eq("E20171013174712025", finalOrderItemMap.get("1024_E20171013174712025_18006666").get("item:order_no"));
eq("9876666", finalOrderItemMap.get("1024_E20171013174712025_18006666").get("item_core:id"));
eq("6", finalOrderItemMap.get("1024_E20171013174712025_18006666").get("item_core:num"));
eq("9876666", finalOrderItemMap.get("1024_E20171013174712025_18006666").get("item_price:item_id"));
eq("100", finalOrderItemMap.get("1024_E20171013174712025_18006666").get("item_price:price"));
eq("18008888", finalOrderItemMap.get("1024_E20171013174712025_18008888").get("item:id"));
eq("8888", finalOrderItemMap.get("1024_E20171013174712025_18008888").get("item:g_id"));
eq("1024", finalOrderItemMap.get("1024_E20171013174712025_18008888").get("item:s_id"));
eq("E20171013174712025", finalOrderItemMap.get("1024_E20171013174712025_18008888").get("item:order_no"));
eq("9878888", finalOrderItemMap.get("1024_E20171013174712025_18008888").get("item_core:id"));
eq("8", finalOrderItemMap.get("1024_E20171013174712025_18008888").get("item_core:num"));
eq("9878888", finalOrderItemMap.get("1024_E20171013174712025_18008888").get("item_price:item_id"));
eq("200", finalOrderItemMap.get("1024_E20171013174712025_18008888").get("item_price:price"));
eq(Arrays.asList("haha3333", "haha1111"), finalOrderItemMap.get("1024_E20171013174712025_18006666").get("item_price_change_log:detail"));
eq(Arrays.asList("haha2222", "haha4444"), finalOrderItemMap.get("1024_E20171013174712025_18008888").get("item_price_change_log:detail"));
}
}
CommonForTest.java
package cc.lovesq.study.test;
import org.junit.Assert;
import java.util.List;
import static org.junit.Assert.assertEquals;
/**
* Created by shuqin on 17/11/10.
*/
public class CommonForTest {
public static final String NOT_THROW_EXCEPTION = "Not Throw Exception";
public void eq(Object expected, Object actual) {
assertEquals(expected, actual);
}
public <T> void eq(T[] expected, T[] actual) {
Assert.assertArrayEquals(expected, actual);
}
public <T> void eq(List<T> expectedList, List<T> actualList) {
if (expectedList == null && actualList == null) {
return ;
}
assertEquals(expectedList.size(), actualList.size());
for (int i=0; i< expectedList.size(); i++) {
assertEquals(expectedList.get(i), actualList.get(i));
}
}
public void fail(String message) {
Assert.fail(message);
}
}
package zzz.study.utils;
import org.codehaus.jackson.map.DeserializationConfig;
import org.codehaus.jackson.map.ObjectMapper;
import org.codehaus.jackson.map.annotate.JsonSerialize;
import java.text.SimpleDateFormat;
import java.util.HashMap;
import java.util.Map;
public class JsonUtil {
private static final ObjectMapper MAPPER = new ObjectMapper();
static {
// 为保持对象版本兼容性,忽略未知的属性
MAPPER.configure(DeserializationConfig.Feature.FAIL_ON_UNKNOWN_PROPERTIES, false);
// 序列化的时候，跳过null值
MAPPER.getSerializationConfig().setSerializationInclusion(JsonSerialize.Inclusion.NON_NULL);
// date类型转化
SimpleDateFormat fmt = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
MAPPER.setDateFormat(fmt);
}
/**
* 将一个json字符串解码为java对象
*
* 注意：如果传入的字符串为null，那么返回的对象也为null
*
* @param json json字符串
* @param cls 对象类型
* @return 解析后的java对象
* @throws RuntimeException 若解析json过程中发生了异常
*/
public static <T> T toObject(String json, Class<T> cls) {
if (json == null) {
return null;
}
try {
return MAPPER.readValue(json, cls);
} catch (Exception e) {
return null;
}
}
/**
* 读取JSON字符串为MAP
*/
@SuppressWarnings("unchecked")
public static Map<String, Object> readMap(String json) {
return toObject(json, HashMap.class);
}
}
