如何在ArangoDb中对下面的json文档进行全文索引和搜索？

基本上要在这里进行全文搜索，我需要对“batters.batter”和“batters.topping”进行索引，即对两个属性进行索引。如何处理这种全文搜索。请解释一下这个方法，我想通过RESTAPI实现我的搜索。提前感谢。

解决此问题的最佳方法是稍微更改数据布局，因为全文索引只能在一个属性上工作，请求索引两次无论如何都不会太快。因此，我们使用匿名图将字符串连接到它们的对象

因此，我们创建了两个（顶点）集合，一个边集合，一个顶点集合和fultext索引：

{
"batters":
    {
    "batter":[
            { "id": "1001", "type": "Regular" },
            { "id": "1002", "type": "Chocolate" },
            { "id": "1003", "type": "Blueberry" },
            { "id": "1004", "type": "Devil's Food" }
    ]
    },
    "topping":[
            { "id": "5001", "type": "None" },
            { "id": "5002", "type": "Glazed" },
            { "id": "5005", "type": "Sugar" },
            { "id": "5007", "type": "Powdered Sugar" },
            { "id": "5006", "type": "Chocolate with Sprinkles" },
            { "id": "5003", "type": "Chocolate" },
            { "id": "5004", "type": "Maple" }
     ]
}

并将文档保存给他们，并将其与关系绑定在一起。 我们使用

\u键

属性，该属性用于参考

\u中的顶点从

和

\u到

边关系：

db._create("dishStrings")
db._createEdgeCollection("dishEdges")
db._create("dish")

db.dishStrings.ensureIndex({type: "fulltext", fields: [ "name" ]});

我们重新验证全文索引是否有效：

db.dishStrings.save({"_key": "1001", "name": "Regular" , type: "Batter"});
db.dishStrings.save({"_key": "1002", "name": "Chocolate", type: "Batter" });
db.dishStrings.save({"_key": "1003", "name": "Blueberry", type: "Batter"});
db.dishStrings.save({"_key": "1004", "name": "Devil's Food", type: "Batter"});
db.dishStrings.save({"_key": "5001", "name": "None", type: "Topping"});
db.dishStrings.save({"_key": "5002", "name": "Glazed", type: "Topping"});
db.dishStrings.save({"_key": "5005", "name": "Sugar", type: "Topping"});
db.dishStrings.save({"_key": "5007", "name": "Powdered Sugar", type: "Topping"});
db.dishStrings.save({"_key": "5006", "name": "Chocolate with Sprinkles", type: "Topping"});
db.dishStrings.save({"_key": "5003", "name": "Chocolate", type: "Topping"});
db.dishStrings.save({"_key": "5004", "name": "Maple", type: "Topping"});

db.dishEdges.save("dishStrings/1001", "dish/batter", {tasty: true, type: "Batter"})
db.dishEdges.save("dishStrings/1002", "dish/batter", {tasty: true, type: "Batter"})
db.dishEdges.save("dishStrings/1003", "dish/batter", {tasty: true, type: "Batter"})
db.dishEdges.save("dishStrings/1004", "dish/batter", {tasty: true, type: "Batter"})
db.dishEdges.save("dishStrings/5001", "dish/batter", {tasty: true, type: "Topping"})
db.dishEdges.save("dishStrings/5002", "dish/batter", {tasty: true, type: "Topping"})
db.dishEdges.save("dishStrings/5003", "dish/batter", {tasty: true, type: "Topping"})
db.dishEdges.save("dishStrings/5004", "dish/batter", {tasty: true, type: "Topping"})
db.dishEdges.save("dishStrings/5005", "dish/batter", {tasty: true, type: "Topping"})
db.dishEdges.save("dishStrings/5006", "dish/batter", {tasty: true, type: "Topping"})
db.dishEdges.save("dishStrings/5007", "dish/batter", {tasty: true, type: "Topping"})

db.dish.save({_key: "batter", tasty: true})

（

.toArray（）

将在控制台上打印结果） 我们有三支安打，一支击球手，两支浇头。由于搜索字符串可能包含未经验证的字符串，我们宁愿：

现在，让我们使用边关系来查找连接的盘：

db._query("FOR oneDishStr IN FULLTEXT(dishStrings, 'name', @searchString) " + 
          " RETURN oneDishStr", 
          {searchString: "Chocolate"});

这是使用图形的老方法（最多2.7），因为我们希望使用快速过滤器：

我们可以看到，在这两种情况下，

Chocolate

的3次全文搜索点击中，每一次都有一次遍历。现在我们只对

Topping

类型的点击感兴趣，因此我们将过滤所有那些不是

Topping

类型的边：

db._query("FOR oneDishStr IN FULLTEXT(dishStrings, 'name', @searchString) " + 
          "  FOR v IN 1..1 OUTBOUND oneDishStr dishEdges RETURN " + 
          "    {str: oneDishStr, dish: v}",
         {searchString: "Chocolate"})

---

答案适合你的需要吗？如果是，您能将其标记为已接受吗？如果没有，缺少什么？

db._query("FOR oneDishStr IN FULLTEXT(dishStrings, 'name', @searchString) "+ 
          "RETURN {str: oneDishStr, " + 
                  "dishes: NEIGHBORS(dishStrings, dishEdges, oneDishStr," + 
                                     " 'outbound')}",
           {searchString: "Chocolate"})

db._query("FOR oneDishStr IN FULLTEXT(dishStrings, 'name', @searchString) " + 
          "  FOR v IN 1..1 OUTBOUND oneDishStr dishEdges RETURN " + 
          "    {str: oneDishStr, dish: v}",
         {searchString: "Chocolate"})

db._query("FOR oneDishStr IN FULLTEXT(dishStrings, 'name', @searchString) "+
          "   FOR v, e IN 1..1 OUTBOUND oneDishStr dishEdges " + 
          "      FILTER e.type == 'Topping' " +
          "         RETURN {str: oneDishStr, dish: v}", 
          {searchString: "Chocolate"})