arangodb nosql 入门教程

ArangoDB快速入门案例

此去经年，夏梦未央。我以为你会是我最温暖的夏阳。只是我忘了，我们都无力阻止四季的轮转。冬天过后，还是会有令人憎恨的闷热。是你浮夸了那一年寒冷的冬天。还是那一年的雪花蒸发了整个曾经

Posted by yishuifengxiao on 2021-12-27

一 准备数据

1.1 创建Characters数据表

先创建一个名为 Characters的数据表，然后插入以下数据:

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LET data = [
    { "name": "Robert", "surname": "Baratheon", "alive": false, "traits": ["A","H","C"] },
    { "name": "Jaime", "surname": "Lannister", "alive": true, "age": 36, "traits": ["A","F","B"] },
    { "name": "Catelyn", "surname": "Stark", "alive": false, "age": 40, "traits": ["D","H","C"] },
    { "name": "Cersei", "surname": "Lannister", "alive": true, "age": 36, "traits": ["H","E","F"] },
    { "name": "Daenerys", "surname": "Targaryen", "alive": true, "age": 16, "traits": ["D","H","C"] },
    { "name": "Jorah", "surname": "Mormont", "alive": false, "traits": ["A","B","C","F"] },
    { "name": "Petyr", "surname": "Baelish", "alive": false, "traits": ["E","G","F"] },
    { "name": "Viserys", "surname": "Targaryen", "alive": false, "traits": ["O","L","N"] },
    { "name": "Jon", "surname": "Snow", "alive": true, "age": 16, "traits": ["A","B","C","F"] },
    { "name": "Sansa", "surname": "Stark", "alive": true, "age": 13, "traits": ["D","I","J"] },
    { "name": "Arya", "surname": "Stark", "alive": true, "age": 11, "traits": ["C","K","L"] },
    { "name": "Robb", "surname": "Stark", "alive": false, "traits": ["A","B","C","K"] },
    { "name": "Theon", "surname": "Greyjoy", "alive": true, "age": 16, "traits": ["E","R","K"] },
    { "name": "Bran", "surname": "Stark", "alive": true, "age": 10, "traits": ["L","J"] },
    { "name": "Joffrey", "surname": "Baratheon", "alive": false, "age": 19, "traits": ["I","L","O"] },
    { "name": "Sandor", "surname": "Clegane", "alive": true, "traits": ["A","P","K","F"] },
    { "name": "Tyrion", "surname": "Lannister", "alive": true, "age": 32, "traits": ["F","K","M","N"] },
    { "name": "Khal", "surname": "Drogo", "alive": false, "traits": ["A","C","O","P"] },
    { "name": "Tywin", "surname": "Lannister", "alive": false, "traits": ["O","M","H","F"] },
    { "name": "Davos", "surname": "Seaworth", "alive": true, "age": 49, "traits": ["C","K","P","F"] },
    { "name": "Samwell", "surname": "Tarly", "alive": true, "age": 17, "traits": ["C","L","I"] },
    { "name": "Stannis", "surname": "Baratheon", "alive": false, "traits": ["H","O","P","M"] },
    { "name": "Melisandre", "alive": true, "traits": ["G","E","H"] },
    { "name": "Margaery", "surname": "Tyrell", "alive": false, "traits": ["M","D","B"] },
    { "name": "Jeor", "surname": "Mormont", "alive": false, "traits": ["C","H","M","P"] },
    { "name": "Bronn", "alive": true, "traits": ["K","E","C"] },
    { "name": "Varys", "alive": true, "traits": ["M","F","N","E"] },
    { "name": "Shae", "alive": false, "traits": ["M","D","G"] },
    { "name": "Talisa", "surname": "Maegyr", "alive": false, "traits": ["D","C","B"] },
    { "name": "Gendry", "alive": false, "traits": ["K","C","A"] },
    { "name": "Ygritte", "alive": false, "traits": ["A","P","K"] },
    { "name": "Tormund", "surname": "Giantsbane", "alive": true, "traits": ["C","P","A","I"] },
    { "name": "Gilly", "alive": true, "traits": ["L","J"] },
    { "name": "Brienne", "surname": "Tarth", "alive": true, "age": 32, "traits": ["P","C","A","K"] },
    { "name": "Ramsay", "surname": "Bolton", "alive": true, "traits": ["E","O","G","A"] },
    { "name": "Ellaria", "surname": "Sand", "alive": true, "traits": ["P","O","A","E"] },
    { "name": "Daario", "surname": "Naharis", "alive": true, "traits": ["K","P","A"] },
    { "name": "Missandei", "alive": true, "traits": ["D","L","C","M"] },
    { "name": "Tommen", "surname": "Baratheon", "alive": true, "traits": ["I","L","B"] },
    { "name": "Jaqen", "surname": "H'ghar", "alive": true, "traits": ["H","F","K"] },
    { "name": "Roose", "surname": "Bolton", "alive": true, "traits": ["H","E","F","A"] },
    { "name": "The High Sparrow", "alive": true, "traits": ["H","M","F","O"] }
]

FOR d IN data
    INSERT d INTO Characters

执行完上述命令后，再执行以下命令，查看是否执行成功

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FOR c IN Characters
limit 2
    RETURN c

得到如下执行结果:

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[
  {
    "_key": "109566",
    "_id": "Characters/109566",
    "_rev": "_ddlhG6C--_",
    "name": "Robert",
    "surname": "Baratheon",
    "alive": false,
    "traits": [
      "A",
      "H",
      "C"
    ]
  },
  {
    "_key": "109567",
    "_id": "Characters/109567",
    "_rev": "_ddlhG6C--B",
    "name": "Jaime",
    "surname": "Lannister",
    "alive": true,
    "age": 36,
    "traits": [
      "A",
      "F",
      "B"
    ]
  }
]

1.2 创建Traits 数据表

1.2.1 创建并插入数据

创建一个名为Traits的数据表，然后执行以下命令:

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LET data =[
    { "_key": "A", "en": "strong", "de": "stark" },
    { "_key": "B", "en": "polite", "de": "freundlich" },
    { "_key": "C", "en": "loyal", "de": "loyal" },
    { "_key": "D", "en": "beautiful", "de": "schön" },
    { "_key": "E", "en": "sneaky", "de": "hinterlistig" },
    { "_key": "F", "en": "experienced", "de": "erfahren" },
    { "_key": "G", "en": "corrupt", "de": "korrupt" },
    { "_key": "H", "en": "powerful", "de": "einflussreich" },
    { "_key": "I", "en": "naive", "de": "naiv" },
    { "_key": "J", "en": "unmarried", "de": "unverheiratet" },
    { "_key": "K", "en": "skillful", "de": "geschickt" },
    { "_key": "L", "en": "young", "de": "jung" },
    { "_key": "M", "en": "smart", "de": "klug" },
    { "_key": "N", "en": "rational", "de": "rational" },
    { "_key": "O", "en": "ruthless", "de": "skrupellos" },
    { "_key": "P", "en": "brave", "de": "mutig" },
    { "_key": "Q", "en": "mighty", "de": "mächtig" },
    { "_key": "R", "en": "weak", "de": "schwach" }
]

for d in data
 INSERT d INTO Traits

然后执行下面命令，查看数据是否插入成功

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FOR c IN Traits
limit 2
    RETURN c

得到的运行结果如下

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[
  {
    "_key": "A",
    "_id": "Traits/A",
    "_rev": "_ddllNrK--_",
    "en": "strong",
    "de": "stark"
  },
  {
    "_key": "B",
    "_id": "Traits/B",
    "_rev": "_ddllNrK--B",
    "en": "polite",
    "de": "freundlich"
  }
]

1.2.2 跨表查询

结合上面两个数据库查询

执行以下命令

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FOR c IN Characters
    limit 2 
    RETURN DOCUMENT("Traits", c.traits)

得到的运行结果如下:

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[
  [
    {
      "_key": "A",
      "_id": "Traits/A",
      "_rev": "_ddllNrK--_",
      "en": "strong",
      "de": "stark"
    },
    {
      "_key": "H",
      "_id": "Traits/H",
      "_rev": "_ddllNrK--N",
      "en": "powerful",
      "de": "einflussreich"
    },
    {
      "_key": "C",
      "_id": "Traits/C",
      "_rev": "_ddllNrK--D",
      "en": "loyal",
      "de": "loyal"
    }
  ],
  [
    {
      "_key": "A",
      "_id": "Traits/A",
      "_rev": "_ddllNrK--_",
      "en": "strong",
      "de": "stark"
    },
    {
      "_key": "F",
      "_id": "Traits/F",
      "_rev": "_ddllNrK--J",
      "en": "experienced",
      "de": "erfahren"
    },
    {
      "_key": "B",
      "_id": "Traits/B",
      "_rev": "_ddllNrK--B",
      "en": "polite",
      "de": "freundlich"
    }
  ]
]

注意： 返回结果为两个数组

image-20211227112512762

1.2.3 合并查询结果

执行以下命令

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FOR c IN Characters
limit 2
    RETURN MERGE(c, { traits: DOCUMENT("Traits", c.traits)[*].en } )

得到的运行结果如下

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[
  {
    "_id": "Characters/109566",
    "_key": "109566",
    "_rev": "_ddlhG6C--_",
    "alive": false,
    "name": "Robert",
    "surname": "Baratheon",
    "traits": [
      "strong",
      "powerful",
      "loyal"
    ]
  },
  {
    "_id": "Characters/109567",
    "_key": "109567",
    "_rev": "_ddlhG6C--B",
    "age": 36,
    "alive": true,
    "name": "Jaime",
    "surname": "Lannister",
    "traits": [
      "strong",
      "experienced",
      "polite"
    ]
  }
]

1.3 创建ChildOf 边缘表

创建一个名为ChildOf的边缘集合。

然后插入数据

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LET data = [
    {
        "parent": { "name": "Ned", "surname": "Stark" },
        "child": { "name": "Robb", "surname": "Stark" }
    }, {
        "parent": { "name": "Ned", "surname": "Stark" },
        "child": { "name": "Sansa", "surname": "Stark" }
    }, {
        "parent": { "name": "Ned", "surname": "Stark" },
        "child": { "name": "Arya", "surname": "Stark" }
    }, {
        "parent": { "name": "Ned", "surname": "Stark" },
        "child": { "name": "Bran", "surname": "Stark" }
    }, {
        "parent": { "name": "Catelyn", "surname": "Stark" },
        "child": { "name": "Robb", "surname": "Stark" }
    }, {
        "parent": { "name": "Catelyn", "surname": "Stark" },
        "child": { "name": "Sansa", "surname": "Stark" }
    }, {
        "parent": { "name": "Catelyn", "surname": "Stark" },
        "child": { "name": "Arya", "surname": "Stark" }
    }, {
        "parent": { "name": "Catelyn", "surname": "Stark" },
        "child": { "name": "Bran", "surname": "Stark" }
    }, {
        "parent": { "name": "Ned", "surname": "Stark" },
        "child": { "name": "Jon", "surname": "Snow" }
    }, {
        "parent": { "name": "Tywin", "surname": "Lannister" },
        "child": { "name": "Jaime", "surname": "Lannister" }
    }, {
        "parent": { "name": "Tywin", "surname": "Lannister" },
        "child": { "name": "Cersei", "surname": "Lannister" }
    }, {
        "parent": { "name": "Tywin", "surname": "Lannister" },
        "child": { "name": "Tyrion", "surname": "Lannister" }
    }, {
        "parent": { "name": "Cersei", "surname": "Lannister" },
        "child": { "name": "Joffrey", "surname": "Baratheon" }
    }, {
        "parent": { "name": "Jaime", "surname": "Lannister" },
        "child": { "name": "Joffrey", "surname": "Baratheon" }
    }
]

FOR rel in data
    LET parentId = FIRST(
        FOR c IN Characters
            FILTER c.name == rel.parent.name
            FILTER c.surname == rel.parent.surname
            LIMIT 1
            RETURN c._id
    )
    LET childId = FIRST(
        FOR c IN Characters
            FILTER c.name == rel.child.name
            FILTER c.surname == rel.child.surname
            LIMIT 1
            RETURN c._id
    )
    FILTER parentId != null AND childId != null
    INSERT { _from: childId, _to: parentId } INTO ChildOf
    RETURN NEW

执行完成上述命令后，得到的响应如下

image-20211227113419643

将其中的两个结果放大

image-20211227113546372

image-20211227113625844

也可以使用以下命令直接插入数据

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INSERT { _from: "Characters/robb", _to: "Characters/ned" } INTO ChildOf

其中的Characters/robb和Characters/ned分别为两个数据的id。

二 遍历数据

2.1 查询父节点(OUTBOUND查询_to)

2.1.1 查询示例

2.1.1.1 示例1

使用下面的查询语句进行查询

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FOR v IN 1..1 OUTBOUND "Characters/109568" ChildOf
    RETURN v

得到的查询结果如下

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[]

即查询出来的数据为空。

2.1.1.2 示例2

使用下面的查询语句进行查询

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FOR v IN 1..1 OUTBOUND "Characters/109576" ChildOf
    RETURN v

得到的查询结果如下

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[
  {
    "_key": "109568",
    "_id": "Characters/109568",
    "_rev": "_ddlhG6C--D",
    "name": "Catelyn",
    "surname": "Stark",
    "alive": false,
    "age": 40,
    "traits": [
      "D",
      "H",
      "C"
    ]
  }
]

2.1.1.3 示例3

使用下面的语句进行查询

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FOR v IN 1..1 OUTBOUND "Characters/109569" ChildOf
    RETURN v

得到的结果如下

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[
  {
    "_key": "109584",
    "_id": "Characters/109584",
    "_rev": "_ddlhG6G--D",
    "name": "Tywin",
    "surname": "Lannister",
    "alive": false,
    "traits": [
      "O",
      "M",
      "H",
      "F"
    ]
  }
]

2.1.1.4 示例4

使用下面的查询语句进行查询

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FOR v IN 1..2 OUTBOUND "Characters/109580" ChildOf
    RETURN v

得到的结果如下

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[
  {
    "_key": "109569",
    "_id": "Characters/109569",
    "_rev": "_ddlhG6C--F",
    "name": "Cersei",
    "surname": "Lannister",
    "alive": true,
    "age": 36,
    "traits": [
      "H",
      "E",
      "F"
    ]
  },
  {
    "_key": "109584",
    "_id": "Characters/109584",
    "_rev": "_ddlhG6G--D",
    "name": "Tywin",
    "surname": "Lannister",
    "alive": false,
    "traits": [
      "O",
      "M",
      "H",
      "F"
    ]
  },
  {
    "_key": "109567",
    "_id": "Characters/109567",
    "_rev": "_ddlhG6C--B",
    "name": "Jaime",
    "surname": "Lannister",
    "alive": true,
    "age": 36,
    "traits": [
      "A",
      "F",
      "B"
    ]
  },
  {
    "_key": "109584",
    "_id": "Characters/109584",
    "_rev": "_ddlhG6G--D",
    "name": "Tywin",
    "surname": "Lannister",
    "alive": false,
    "traits": [
      "O",
      "M",
      "H",
      "F"
    ]
  }
]

一共返回四条数据（其中109584这个节点重复出现一次）

2.1.1.5 示例5

使用下面的命令进行查询

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FOR v IN 1..1 OUTBOUND  ChildOf "Characters/109580"
    RETURN v

此查询语句会产生错误

image-20211227132836003

2.1.2 结论

使用图表方式展示边缘集合 ChildOf 的数据如下

image-20211227123728491

从上述查询语句和结果可以看出:

  • OUTBOUND关键字用于查询当前节点所指向的_to节点。
  • IN 和 OUTBOUND关键字之间的1..2决定着查找深度。
  • 查询结果默认不会去重，在多个遍历路径时若有相同的节点参与遍历，该节点可能会出现多次。

2.2 查询子节点(INBOUND查询_from)

2.2.1 查询示例

2.2.1.1 示例1

使用下面的语句进行查询

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FOR v IN 1..1 INBOUND "Characters/109568" ChildOf
    RETURN v

得到的结果如下

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[
  {
    "_key": "109577",
    "_id": "Characters/109577",
    "_rev": "_ddlhG6C--V",
    "name": "Robb",
    "surname": "Stark",
    "alive": false,
    "traits": [
      "A",
      "B",
      "C",
      "K"
    ]
  },
  {
    "_key": "109575",
    "_id": "Characters/109575",
    "_rev": "_ddlhG6C--R",
    "name": "Sansa",
    "surname": "Stark",
    "alive": true,
    "age": 13,
    "traits": [
      "D",
      "I",
      "J"
    ]
  },
  {
    "_key": "109576",
    "_id": "Characters/109576",
    "_rev": "_ddlhG6C--T",
    "name": "Arya",
    "surname": "Stark",
    "alive": true,
    "age": 11,
    "traits": [
      "C",
      "K",
      "L"
    ]
  },
  {
    "_key": "109579",
    "_id": "Characters/109579",
    "_rev": "_ddlhG6C--Z",
    "name": "Bran",
    "surname": "Stark",
    "alive": true,
    "age": 10,
    "traits": [
      "L",
      "J"
    ]
  }
]

2.2.1.1 示例2

使用下面的语句进行查询

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FOR v IN 1..1 InBOUND "Characters/109576" ChildOf
    RETURN v

得到的查询结果如下

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[]

即查询出来的数据为空。

2.2.1.3 示例3

使用下面的语句进行查询

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FOR v IN 1..1 INBOUND "Characters/109569" ChildOf
    RETURN v

得到的结果如下

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[
  {
    "_key": "109580",
    "_id": "Characters/109580",
    "_rev": "_ddlhG6C--b",
    "name": "Joffrey",
    "surname": "Baratheon",
    "alive": false,
    "age": 19,
    "traits": [
      "I",
      "L",
      "O"
    ]
  }
]

2.2.1.4 示例4

使用下面的查询语句进行查询

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FOR v IN 1..2 INBOUND "Characters/109580" ChildOf
    RETURN v

得到的结果如下

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[
  {
    "_key": "109567",
    "_id": "Characters/109567",
    "_rev": "_ddlhG6C--B",
    "name": "Jaime",
    "surname": "Lannister",
    "alive": true,
    "age": 36,
    "traits": [
      "A",
      "F",
      "B"
    ]
  },
  {
    "_key": "109580",
    "_id": "Characters/109580",
    "_rev": "_ddlhG6C--b",
    "name": "Joffrey",
    "surname": "Baratheon",
    "alive": false,
    "age": 19,
    "traits": [
      "I",
      "L",
      "O"
    ]
  },
  {
    "_key": "109569",
    "_id": "Characters/109569",
    "_rev": "_ddlhG6C--F",
    "name": "Cersei",
    "surname": "Lannister",
    "alive": true,
    "age": 36,
    "traits": [
      "H",
      "E",
      "F"
    ]
  },
  {
    "_key": "109580",
    "_id": "Characters/109580",
    "_rev": "_ddlhG6C--b",
    "name": "Joffrey",
    "surname": "Baratheon",
    "alive": false,
    "age": 19,
    "traits": [
      "I",
      "L",
      "O"
    ]
  },
  {
    "_key": "109582",
    "_id": "Characters/109582",
    "_rev": "_ddlhG6G--_",
    "name": "Tyrion",
    "surname": "Lannister",
    "alive": true,
    "age": 32,
    "traits": [
      "F",
      "K",
      "M",
      "N"
    ]
  }
]

使用表格展示如下

image-20211227133628561

2.2.1.5 示例5

使用下面的命令进行查询

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FOR v IN 1..1 INBOUND  ChildOf "Characters/109569"
    RETURN v

此查询语句会产生错误

image-20211227134031770

2.2.2 结论

根据上面的查询示例语句及其结果可以得知：

  • INBOUND关键字用于查询当前节点所指向的_from节点
  • IN 和 INBOUND关键字之间的1..2决定着查找深度。

2.3 查询孙节点（INBOUND查询_from）

2.3.1 基本示例

使用查询的查询语句进行查询

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FOR c IN Characters
    FILTER c.name == "Tywin"
    FOR v IN 2..2 INBOUND c ChildOf
        RETURN v

注意这里的起点为name为Tywin的点。(即起点为Characters/109584 的节点)

得到的查询结果如下

image-20211227135014304

使用JSON数据表示为

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[
  {
    "_key": "109580",
    "_id": "Characters/109580",
    "_rev": "_ddlhG6C--b",
    "name": "Joffrey",
    "surname": "Baratheon",
    "alive": false,
    "age": 19,
    "traits": [
      "I",
      "L",
      "O"
    ]
  },
  {
    "_key": "109580",
    "_id": "Characters/109580",
    "_rev": "_ddlhG6C--b",
    "name": "Joffrey",
    "surname": "Baratheon",
    "alive": false,
    "age": 19,
    "traits": [
      "I",
      "L",
      "O"
    ]
  }
]

注意，在上述查询结果中， 得到的数据默认不会进行去重处理。

2.3.2 数据去重

在上面所有的查询语句中，得到查询结果默认都不会进行去重处理，为了对结果进行去重，可以使用 DISTINCT关键字

使用下面的语句查询：

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FOR c IN Characters
    FILTER c.name == "Tywin"
    FOR v IN 2..2 INBOUND c ChildOf
        RETURN DISTINCT (v)

得到的结果如下

image-20211227135727826

JSON数据表示为

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[
  {
    "_key": "109580",
    "_id": "Characters/109580",
    "_rev": "_ddlhG6C--b",
    "name": "Joffrey",
    "surname": "Baratheon",
    "alive": false,
    "age": 19,
    "traits": [
      "I",
      "L",
      "O"
    ]
  }
]

三 聚合查询

3.1 查询数量统计

结合上面的查询数据，使用下面的语句进行查询

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FOR c IN Characters
    FILTER c.name == "Tywin"
    FOR v IN 2..2 INBOUND c ChildOf
    COLLECT actor = v WITH COUNT INTO counter
        RETURN counter

得到的查询结果如下

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[
  2
]

可以看到，在使用上述查询语句时，数据库未对相同的节点进行去重统计

若使用系统中提供的 length 或 COUNT关键字进行查询，则得到的结构如下

注意：在arangodb中COUNT是length的别名

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FOR c IN Characters
    FILTER c.name == "Tywin"
    FOR v IN 2..2 INBOUND c ChildOf
   return COUNT(v)

得到的结果如下

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[
  8,
  8
]

这里统计的结果里元素的属性的数量。

四 使用示例

4.1 数据准备

4.1.1 准备actors数据

先创建一个名为 actors的数据表，然后准备一下数据

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LET data=[
    {
        "_key": "Keanu",
        "_id": "actors/Keanu",
        "_rev": "_ddo5sIW---",
        "name": "Keanu Reeves",
        "born": 1964
    },
    {
        "_key": "Carrie",
        "_id": "actors/Carrie",
        "_rev": "_ddo5sLO---",
        "name": "Carrie-Anne Moss",
        "born": 1967
    },
    {
        "_key": "Laurence",
        "_id": "actors/Laurence",
        "_rev": "_ddo5sii---",
        "name": "Laurence Fishburne",
        "born": 1961
    },
    {
        "_key": "Hugo",
        "_id": "actors/Hugo",
        "_rev": "_ddo5sk2---",
        "name": "Hugo Weaving",
        "born": 1960
    },
    {
        "_key": "Emil",
        "_id": "actors/Emil",
        "_rev": "_ddo5soC---",
        "name": "Emil Eifrem",
        "born": 1978
    },
    {
        "_key": "Charlize",
        "_id": "actors/Charlize",
        "_rev": "_ddo5ttS---",
        "name": "Charlize Theron",
        "born": 1975
    },
    {
        "_key": "Al",
        "_id": "actors/Al",
        "_rev": "_ddo5tw6---",
        "name": "Al Pacino",
        "born": 1940
    },
    {
        "_key": "TomC",
        "_id": "actors/TomC",
        "_rev": "_ddo5uNe---",
        "name": "Tom Cruise",
        "born": 1962
    },
    {
        "_key": "JackN",
        "_id": "actors/JackN",
        "_rev": "_ddo5uQC---",
        "name": "Jack Nicholson",
        "born": 1937
    },
    {
        "_key": "DemiM",
        "_id": "actors/DemiM",
        "_rev": "_ddo5uTS---",
        "name": "Demi Moore",
        "born": 1962
    },
    {
        "_key": "KevinB",
        "_id": "actors/KevinB",
        "_rev": "_ddo5uV2---",
        "name": "Kevin Bacon",
        "born": 1958
    },
    {
        "_key": "KieferS",
        "_id": "actors/KieferS",
        "_rev": "_ddo5uaK---",
        "name": "Kiefer Sutherland",
        "born": 1966
    },
    {
        "_key": "NoahW",
        "_id": "actors/NoahW",
        "_rev": "_ddo5ucy---",
        "name": "Noah Wyle",
        "born": 1971
    },
    {
        "_key": "CubaG",
        "_id": "actors/CubaG",
        "_rev": "_ddo5ufW---",
        "name": "Cuba Gooding Jr.",
        "born": 1968
    },
    {
        "_key": "KevinP",
        "_id": "actors/KevinP",
        "_rev": "_ddo5uhS---",
        "name": "Kevin Pollak",
        "born": 1957
    },
    {
        "_key": "JTW",
        "_id": "actors/JTW",
        "_rev": "_ddo5ujS---",
        "name": "J.T. Walsh",
        "born": 1943
    },
    {
        "_key": "JamesM",
        "_id": "actors/JamesM",
        "_rev": "_ddo5umG---",
        "name": "James Marshall",
        "born": 1967
    },
    {
        "_key": "ChristopherG",
        "_id": "actors/ChristopherG",
        "_rev": "_ddo5upy---",
        "name": "Christopher Guest",
        "born": 1948
    },
    {
        "_key": "KellyM",
        "_id": "actors/KellyM",
        "_rev": "_ddo5vWu---",
        "name": "Kelly McGillis",
        "born": 1957
    },
    {
        "_key": "ValK",
        "_id": "actors/ValK",
        "_rev": "_ddo5vZS---",
        "name": "Val Kilmer",
        "born": 1959
    },
    {
        "_key": "AnthonyE",
        "_id": "actors/AnthonyE",
        "_rev": "_ddo5vb2---",
        "name": "Anthony Edwards",
        "born": 1962
    },
    {
        "_key": "TomS",
        "_id": "actors/TomS",
        "_rev": "_ddo5veW---",
        "name": "Tom Skerritt",
        "born": 1933
    },
    {
        "_key": "MegR",
        "_id": "actors/MegR",
        "_rev": "_ddo5vhi---",
        "name": "Meg Ryan",
        "born": 1961
    },
    {
        "_key": "ReneeZ",
        "_id": "actors/ReneeZ",
        "_rev": "_ddo5v6m---",
        "name": "Renee Zellweger",
        "born": 1969
    },
    {
        "_key": "KellyP",
        "_id": "actors/KellyP",
        "_rev": "_ddo5v9S---",
        "name": "Kelly Preston",
        "born": 1962
    },
    {
        "_key": "JerryO",
        "_id": "actors/JerryO",
        "_rev": "_ddo5wAG---",
        "name": "Jerry O'Connell",
        "born": 1974
    },
    {
        "_key": "JayM",
        "_id": "actors/JayM",
        "_rev": "_ddo5wCu---",
        "name": "Jay Mohr",
        "born": 1970
    },
    {
        "_key": "BonnieH",
        "_id": "actors/BonnieH",
        "_rev": "_ddo5wHi---",
        "name": "Bonnie Hunt",
        "born": 1961
    },
    {
        "_key": "ReginaK",
        "_id": "actors/ReginaK",
        "_rev": "_ddo5wK2---",
        "name": "Regina King",
        "born": 1971
    },
    {
        "_key": "JonathanL",
        "_id": "actors/JonathanL",
        "_rev": "_ddo5wN2---",
        "name": "Jonathan Lipnicki",
        "born": 1996
    },
    {
        "_key": "RiverP",
        "_id": "actors/RiverP",
        "_rev": "_ddo5w7i---",
        "name": "River Phoenix",
        "born": 1970
    },
    {
        "_key": "CoreyF",
        "_id": "actors/CoreyF",
        "_rev": "_ddo5x-W---",
        "name": "Corey Feldman",
        "born": 1971
    },
    {
        "_key": "WilW",
        "_id": "actors/WilW",
        "_rev": "_ddo5xB----",
        "name": "Wil Wheaton",
        "born": 1972
    },
    {
        "_key": "JohnC",
        "_id": "actors/JohnC",
        "_rev": "_ddo5xDy---",
        "name": "John Cusack",
        "born": 1966
    },
    {
        "_key": "MarshallB",
        "_id": "actors/MarshallB",
        "_rev": "_ddo5xGi---",
        "name": "Marshall Bell",
        "born": 1942
    },
    {
        "_key": "HelenH",
        "_id": "actors/HelenH",
        "_rev": "_ddo5xoi---",
        "name": "Helen Hunt",
        "born": 1963
    },
    {
        "_key": "GregK",
        "_id": "actors/GregK",
        "_rev": "_ddo5xrW---",
        "name": "Greg Kinnear",
        "born": 1963
    },
    {
        "_key": "AnnabellaS",
        "_id": "actors/AnnabellaS",
        "_rev": "_ddo5yGy---",
        "name": "Annabella Sciorra",
        "born": 1960
    },
    {
        "_key": "MaxS",
        "_id": "actors/MaxS",
        "_rev": "_ddo5yKm---",
        "name": "Max von Sydow",
        "born": 1929
    },
    {
        "_key": "WernerH",
        "_id": "actors/WernerH",
        "_rev": "_ddo5yN6---",
        "name": "Werner Herzog",
        "born": 1942
    },
    {
        "_key": "Robin",
        "_id": "actors/Robin",
        "_rev": "_ddo5yQi---",
        "name": "Robin Williams",
        "born": 1951
    },
    {
        "_key": "EthanH",
        "_id": "actors/EthanH",
        "_rev": "_ddo5ypq---",
        "name": "Ethan Hawke",
        "born": 1970
    },
    {
        "_key": "RickY",
        "_id": "actors/RickY",
        "_rev": "_ddo5ys----",
        "name": "Rick Yune",
        "born": 1971
    },
    {
        "_key": "JamesC",
        "_id": "actors/JamesC",
        "_rev": "_ddo5yum---",
        "name": "James Cromwell",
        "born": 1940
    },
    {
        "_key": "ParkerP",
        "_id": "actors/ParkerP",
        "_rev": "_ddo5zHK---",
        "name": "Parker Posey",
        "born": 1968
    },
    {
        "_key": "DaveC",
        "_id": "actors/DaveC",
        "_rev": "_ddo5zKW---",
        "name": "Dave Chappelle",
        "born": 1973
    },
    {
        "_key": "SteveZ",
        "_id": "actors/SteveZ",
        "_rev": "_ddo5zMy---",
        "name": "Steve Zahn",
        "born": 1967
    },
    {
        "_key": "TomH",
        "_id": "actors/TomH",
        "_rev": "_ddo5zO6---",
        "name": "Tom Hanks",
        "born": 1956
    },
    {
        "_key": "RitaW",
        "_id": "actors/RitaW",
        "_rev": "_ddo5zwW---",
        "name": "Rita Wilson",
        "born": 1956
    },
    {
        "_key": "BillPull",
        "_id": "actors/BillPull",
        "_rev": "_ddo5zyu---",
        "name": "Bill Pullman",
        "born": 1953
    },
    {
        "_key": "VictorG",
        "_id": "actors/VictorG",
        "_rev": "_ddo5z1a---",
        "name": "Victor Garber",
        "born": 1949
    },
    {
        "_key": "RosieO",
        "_id": "actors/RosieO",
        "_rev": "_ddo5z5q---",
        "name": "Rosie O'Donnell",
        "born": 1962
    },
    {
        "_key": "Nathan",
        "_id": "actors/Nathan",
        "_rev": "_ddo50V----",
        "name": "Nathan Lane",
        "born": 1956
    },
    {
        "_key": "BillyC",
        "_id": "actors/BillyC",
        "_rev": "_ddo50qW---",
        "name": "Billy Crystal",
        "born": 1948
    },
    {
        "_key": "CarrieF",
        "_id": "actors/CarrieF",
        "_rev": "_ddo50s2---",
        "name": "Carrie Fisher",
        "born": 1956
    },
    {
        "_key": "BrunoK",
        "_id": "actors/BrunoK",
        "_rev": "_ddo50wm---",
        "name": "Bruno Kirby",
        "born": 1949
    }
]

for d in data
	 INSERT d INTO actors

4.1.2 准备movies数据

创建一个名为 movies 的数据表，然后执行

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LET data=[
    {
        "_key": "TheMatrix",
        "_id": "movies/TheMatrix",
        "_rev": "_ddo5sFG---",
        "title": "The Matrix",
        "released": 1999,
        "tagline": "Welcome to the Real World"
    },
    {
        "_key": "TheMatrixReloaded",
        "_id": "movies/TheMatrixReloaded",
        "_rev": "_ddo5t-----",
        "title": "The Matrix Reloaded",
        "released": 2003,
        "tagline": "Free your mind"
    },
    {
        "_key": "TheMatrixRevolutions",
        "_id": "movies/TheMatrixRevolutions",
        "_rev": "_ddo5tTW---",
        "title": "The Matrix Revolutions",
        "released": 2003,
        "tagline": "Everything that has a beginning has an end"
    },
    {
        "_key": "TheDevilsAdvocate",
        "_id": "movies/TheDevilsAdvocate",
        "_rev": "_ddo5tqi---",
        "title": "The Devil's Advocate",
        "released": 1997,
        "tagline": "Evil has its winning ways"
    },
    {
        "_key": "AFewGoodMen",
        "_id": "movies/AFewGoodMen",
        "_rev": "_ddo5uKq---",
        "title": "A Few Good Men",
        "released": 1992,
        "tagline": "In the heart of the nation's capital, in a courthouse of the U.S. government, one man will stop at nothing to keep his honor, and one will stop at nothing to find the truth."
    },
    {
        "_key": "TopGun",
        "_id": "movies/TopGun",
        "_rev": "_ddo5vUG---",
        "title": "Top Gun",
        "released": 1986,
        "tagline": "I feel the need, the need for speed."
    },
    {
        "_key": "JerryMaguire",
        "_id": "movies/JerryMaguire",
        "_rev": "_ddo5v4K---",
        "title": "Jerry Maguire",
        "released": 2000,
        "tagline": "The rest of his life begins now."
    },
    {
        "_key": "StandByMe",
        "_id": "movies/StandByMe",
        "_rev": "_ddo5w3e---",
        "title": "Stand By Me",
        "released": 1986,
        "tagline": "For some, it's the last real taste of innocence, and the first real taste of life. But for everyone, it's the time that memories are made of."
    },
    {
        "_key": "AsGoodAsItGets",
        "_id": "movies/AsGoodAsItGets",
        "_rev": "_ddo5xl2---",
        "title": "As Good as It Gets",
        "released": 1997,
        "tagline": "A comedy from the heart that goes for the throat."
    },
    {
        "_key": "WhatDreamsMayCome",
        "_id": "movies/WhatDreamsMayCome",
        "_rev": "_ddo5yDC---",
        "title": "What Dreams May Come",
        "released": 1998,
        "tagline": "After life there is more. The end is just the beginning."
    },
    {
        "_key": "SnowFallingonCedars",
        "_id": "movies/SnowFallingonCedars",
        "_rev": "_ddo5ymi---",
        "title": "Snow Falling on Cedars",
        "released": 1999,
        "tagline": "First loves last. Forever."
    },
    {
        "_key": "YouveGotMail",
        "_id": "movies/YouveGotMail",
        "_rev": "_ddo5zD2---",
        "title": "You've Got Mail",
        "released": 1998,
        "tagline": "At odds in life... in love on-line."
    },
    {
        "_key": "SleeplessInSeattle",
        "_id": "movies/SleeplessInSeattle",
        "_rev": "_ddo5zuG---",
        "title": "Sleepless in Seattle",
        "released": 1993,
        "tagline": "What if someone you never met, someone you never saw, someone you never knew was the only someone for you?"
    },
    {
        "_key": "JoeVersustheVolcano",
        "_id": "movies/JoeVersustheVolcano",
        "_rev": "_ddo50S2---",
        "title": "Joe Versus the Volcano",
        "released": 1990,
        "tagline": "A story of love, lava and burning desire."
    },
    {
        "_key": "WhenHarryMetSally",
        "_id": "movies/WhenHarryMetSally",
        "_rev": "_ddo50nm---",
        "title": "When Harry Met Sally",
        "released": 1998,
        "tagline": "At odds in life... in love on-line."
    }
]

for d in data
	 INSERT d INTO movies

4.1.3 准备actsIn数据

创建一个名为 actsIn 的边缘集合，然后执行

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let data=[
    {
        "_key": "172",
        "_id": "actsIn/172",
        "_from": "actors/Keanu",
        "_to": "movies/TheMatrix",
        "_rev": "_ddo5sqm---",
        "roles": [
            "Neo"
        ],
        "year": 1999
    },
    {
        "_key": "174",
        "_id": "actsIn/174",
        "_from": "actors/Carrie",
        "_to": "movies/TheMatrix",
        "_rev": "_ddo5ss6---",
        "roles": [
            "Trinity"
        ],
        "year": 1999
    },
    {
        "_key": "176",
        "_id": "actsIn/176",
        "_from": "actors/Laurence",
        "_to": "movies/TheMatrix",
        "_rev": "_ddo5svG---",
        "roles": [
            "Morpheus"
        ],
        "year": 1999
    },
    {
        "_key": "178",
        "_id": "actsIn/178",
        "_from": "actors/Hugo",
        "_to": "movies/TheMatrix",
        "_rev": "_ddo5sxS---",
        "roles": [
            "Agent Smith"
        ],
        "year": 1999
    },
    {
        "_key": "180",
        "_id": "actsIn/180",
        "_from": "actors/Emil",
        "_to": "movies/TheMatrix",
        "_rev": "_ddo5szW---",
        "roles": [
            "Emil"
        ],
        "year": 1999
    },
    {
        "_key": "183",
        "_id": "actsIn/183",
        "_from": "actors/Keanu",
        "_to": "movies/TheMatrixReloaded",
        "_rev": "_ddo5tBa---",
        "roles": [
            "Neo"
        ],
        "year": 2003
    },
    {
        "_key": "185",
        "_id": "actsIn/185",
        "_from": "actors/Carrie",
        "_to": "movies/TheMatrixReloaded",
        "_rev": "_ddo5tEe---",
        "roles": [
            "Trinity"
        ],
        "year": 2003
    },
    {
        "_key": "187",
        "_id": "actsIn/187",
        "_from": "actors/Laurence",
        "_to": "movies/TheMatrixReloaded",
        "_rev": "_ddo5tHK---",
        "roles": [
            "Morpheus"
        ],
        "year": 2003
    },
    {
        "_key": "189",
        "_id": "actsIn/189",
        "_from": "actors/Hugo",
        "_to": "movies/TheMatrixReloaded",
        "_rev": "_ddo5tJq---",
        "roles": [
            "Agent Smith"
        ],
        "year": 2003
    },
    {
        "_key": "192",
        "_id": "actsIn/192",
        "_from": "actors/Keanu",
        "_to": "movies/TheMatrixRevolutions",
        "_rev": "_ddo5tVq---",
        "roles": [
            "Neo"
        ],
        "year": 2003
    },
    {
        "_key": "194",
        "_id": "actsIn/194",
        "_from": "actors/Carrie",
        "_to": "movies/TheMatrixRevolutions",
        "_rev": "_ddo5tYC---",
        "roles": [
            "Trinity"
        ],
        "year": 2003
    },
    {
        "_key": "196",
        "_id": "actsIn/196",
        "_from": "actors/Laurence",
        "_to": "movies/TheMatrixRevolutions",
        "_rev": "_ddo5ta6---",
        "roles": [
            "Morpheus"
        ],
        "year": 2003
    },
    {
        "_key": "198",
        "_id": "actsIn/198",
        "_from": "actors/Hugo",
        "_to": "movies/TheMatrixRevolutions",
        "_rev": "_ddo5tfO---",
        "roles": [
            "Agent Smith"
        ],
        "year": 2003
    },
    {
        "_key": "203",
        "_id": "actsIn/203",
        "_from": "actors/Keanu",
        "_to": "movies/TheDevilsAdvocate",
        "_rev": "_ddo5tz6---",
        "roles": [
            "Kevin Lomax"
        ],
        "year": 1997
    },
    {
        "_key": "205",
        "_id": "actsIn/205",
        "_from": "actors/Charlize",
        "_to": "movies/TheDevilsAdvocate",
        "_rev": "_ddo5t3y---",
        "roles": [
            "Mary Ann Lomax"
        ],
        "year": 1997
    },
    {
        "_key": "207",
        "_id": "actsIn/207",
        "_from": "actors/Al",
        "_to": "movies/TheDevilsAdvocate",
        "_rev": "_ddo5t6m---",
        "roles": [
            "John Milton"
        ],
        "year": 1997
    },
    {
        "_key": "221",
        "_id": "actsIn/221",
        "_from": "actors/TomC",
        "_to": "movies/AFewGoodMen",
        "_rev": "_ddo5utq---",
        "roles": [
            "Lt. Daniel Kaffee"
        ],
        "year": 1992
    },
    {
        "_key": "223",
        "_id": "actsIn/223",
        "_from": "actors/JackN",
        "_to": "movies/AFewGoodMen",
        "_rev": "_ddo5uwS---",
        "roles": [
            "Col. Nathan R. Jessup"
        ],
        "year": 1992
    },
    {
        "_key": "225",
        "_id": "actsIn/225",
        "_from": "actors/DemiM",
        "_to": "movies/AFewGoodMen",
        "_rev": "_ddo5uzC---",
        "roles": [
            "Lt. Cdr. JoAnne Galloway"
        ],
        "year": 1992
    },
    {
        "_key": "227",
        "_id": "actsIn/227",
        "_from": "actors/KevinB",
        "_to": "movies/AFewGoodMen",
        "_rev": "_ddo5u2K---",
        "roles": [
            "Capt. Jack Ross"
        ],
        "year": 1992
    },
    {
        "_key": "229",
        "_id": "actsIn/229",
        "_from": "actors/KieferS",
        "_to": "movies/AFewGoodMen",
        "_rev": "_ddo5u5C---",
        "roles": [
            "Lt. Jonathan Kendrick"
        ],
        "year": 1992
    },
    {
        "_key": "231",
        "_id": "actsIn/231",
        "_from": "actors/NoahW",
        "_to": "movies/AFewGoodMen",
        "_rev": "_ddo5u7y---",
        "roles": [
            "Cpl. Jeffrey Barnes"
        ],
        "year": 1992
    },
    {
        "_key": "233",
        "_id": "actsIn/233",
        "_from": "actors/CubaG",
        "_to": "movies/AFewGoodMen",
        "_rev": "_ddo5vA----",
        "roles": [
            "Cpl. Carl Hammaker"
        ],
        "year": 1992
    },
    {
        "_key": "235",
        "_id": "actsIn/235",
        "_from": "actors/KevinP",
        "_to": "movies/AFewGoodMen",
        "_rev": "_ddo5vCm---",
        "roles": [
            "Lt. Sam Weinberg"
        ],
        "year": 1992
    },
    {
        "_key": "237",
        "_id": "actsIn/237",
        "_from": "actors/JTW",
        "_to": "movies/AFewGoodMen",
        "_rev": "_ddo5vGa---",
        "roles": [
            "Lt. Col. Matthew Andrew Markinson"
        ],
        "year": 1992
    },
    {
        "_key": "239",
        "_id": "actsIn/239",
        "_from": "actors/JamesM",
        "_to": "movies/AFewGoodMen",
        "_rev": "_ddo5vJi---",
        "roles": [
            "Pfc. Louden Downey"
        ],
        "year": 1992
    },
    {
        "_key": "241",
        "_id": "actsIn/241",
        "_from": "actors/ChristopherG",
        "_to": "movies/AFewGoodMen",
        "_rev": "_ddo5vMe---",
        "roles": [
            "Dr. Stone"
        ],
        "year": 1992
    },
    {
        "_key": "249",
        "_id": "actsIn/249",
        "_from": "actors/TomC",
        "_to": "movies/TopGun",
        "_rev": "_ddo5vka---",
        "roles": [
            "Maverick"
        ],
        "year": 1986
    },
    {
        "_key": "251",
        "_id": "actsIn/251",
        "_from": "actors/KellyM",
        "_to": "movies/TopGun",
        "_rev": "_ddo5vmu---",
        "roles": [
            "Charlie"
        ],
        "year": 1986
    },
    {
        "_key": "253",
        "_id": "actsIn/253",
        "_from": "actors/ValK",
        "_to": "movies/TopGun",
        "_rev": "_ddo5vou---",
        "roles": [
            "Iceman"
        ],
        "year": 1986
    },
    {
        "_key": "255",
        "_id": "actsIn/255",
        "_from": "actors/AnthonyE",
        "_to": "movies/TopGun",
        "_rev": "_ddo5vr----",
        "roles": [
            "Goose"
        ],
        "year": 1986
    },
    {
        "_key": "257",
        "_id": "actsIn/257",
        "_from": "actors/TomS",
        "_to": "movies/TopGun",
        "_rev": "_ddo5vtW---",
        "roles": [
            "Viper"
        ],
        "year": 1986
    },
    {
        "_key": "259",
        "_id": "actsIn/259",
        "_from": "actors/MegR",
        "_to": "movies/TopGun",
        "_rev": "_ddo5vva---",
        "roles": [
            "Carole"
        ],
        "year": 1986
    },
    {
        "_key": "269",
        "_id": "actsIn/269",
        "_from": "actors/TomC",
        "_to": "movies/JerryMaguire",
        "_rev": "_ddo5wQW---",
        "roles": [
            "Jerry Maguire"
        ],
        "year": 2000
    },
    {
        "_key": "271",
        "_id": "actsIn/271",
        "_from": "actors/CubaG",
        "_to": "movies/JerryMaguire",
        "_rev": "_ddo5wSm---",
        "roles": [
            "Rod Tidwell"
        ],
        "year": 2000
    },
    {
        "_key": "273",
        "_id": "actsIn/273",
        "_from": "actors/ReneeZ",
        "_to": "movies/JerryMaguire",
        "_rev": "_ddo5wV2---",
        "roles": [
            "Dorothy Boyd"
        ],
        "year": 2000
    },
    {
        "_key": "275",
        "_id": "actsIn/275",
        "_from": "actors/KellyP",
        "_to": "movies/JerryMaguire",
        "_rev": "_ddo5wZG---",
        "roles": [
            "Avery Bishop"
        ],
        "year": 2000
    },
    {
        "_key": "277",
        "_id": "actsIn/277",
        "_from": "actors/JerryO",
        "_to": "movies/JerryMaguire",
        "_rev": "_ddo5wbq---",
        "roles": [
            "Frank Cushman"
        ],
        "year": 2000
    },
    {
        "_key": "279",
        "_id": "actsIn/279",
        "_from": "actors/JayM",
        "_to": "movies/JerryMaguire",
        "_rev": "_ddo5weG---",
        "roles": [
            "Bob Sugar"
        ],
        "year": 2000
    },
    {
        "_key": "281",
        "_id": "actsIn/281",
        "_from": "actors/BonnieH",
        "_to": "movies/JerryMaguire",
        "_rev": "_ddo5wgq---",
        "roles": [
            "Laurel Boyd"
        ],
        "year": 2000
    },
    {
        "_key": "283",
        "_id": "actsIn/283",
        "_from": "actors/ReginaK",
        "_to": "movies/JerryMaguire",
        "_rev": "_ddo5wjm---",
        "roles": [
            "Marcee Tidwell"
        ],
        "year": 2000
    },
    {
        "_key": "285",
        "_id": "actsIn/285",
        "_from": "actors/JonathanL",
        "_to": "movies/JerryMaguire",
        "_rev": "_ddo5wo2---",
        "roles": [
            "Ray Boyd"
        ],
        "year": 2000
    },
    {
        "_key": "297",
        "_id": "actsIn/297",
        "_from": "actors/WilW",
        "_to": "movies/StandByMe",
        "_rev": "_ddo5xJu---",
        "roles": [
            "Gordie Lachance"
        ],
        "year": 1986
    },
    {
        "_key": "299",
        "_id": "actsIn/299",
        "_from": "actors/RiverP",
        "_to": "movies/StandByMe",
        "_rev": "_ddo5xNe---",
        "roles": [
            "Chris Chambers"
        ],
        "year": 1986
    },
    {
        "_key": "301",
        "_id": "actsIn/301",
        "_from": "actors/JerryO",
        "_to": "movies/StandByMe",
        "_rev": "_ddo5xP2---",
        "roles": [
            "Vern Tessio"
        ],
        "year": 1986
    },
    {
        "_key": "303",
        "_id": "actsIn/303",
        "_from": "actors/CoreyF",
        "_to": "movies/StandByMe",
        "_rev": "_ddo5xT----",
        "roles": [
            "Teddy Duchamp"
        ],
        "year": 1986
    },
    {
        "_key": "305",
        "_id": "actsIn/305",
        "_from": "actors/JohnC",
        "_to": "movies/StandByMe",
        "_rev": "_ddo5xVO---",
        "roles": [
            "Denny Lachance"
        ],
        "year": 1986
    },
    {
        "_key": "307",
        "_id": "actsIn/307",
        "_from": "actors/KieferS",
        "_to": "movies/StandByMe",
        "_rev": "_ddo5xX2---",
        "roles": [
            "Ace Merrill"
        ],
        "year": 1986
    },
    {
        "_key": "309",
        "_id": "actsIn/309",
        "_from": "actors/MarshallB",
        "_to": "movies/StandByMe",
        "_rev": "_ddo5xbC---",
        "roles": [
            "Mr. Lachance"
        ],
        "year": 1986
    },
    {
        "_key": "314",
        "_id": "actsIn/314",
        "_from": "actors/JackN",
        "_to": "movies/AsGoodAsItGets",
        "_rev": "_ddo5xuS---",
        "roles": [
            "Melvin Udall"
        ],
        "year": 1997
    },
    {
        "_key": "316",
        "_id": "actsIn/316",
        "_from": "actors/HelenH",
        "_to": "movies/AsGoodAsItGets",
        "_rev": "_ddo5xya---",
        "roles": [
            "Carol Connelly"
        ],
        "year": 1997
    },
    {
        "_key": "318",
        "_id": "actsIn/318",
        "_from": "actors/GregK",
        "_to": "movies/AsGoodAsItGets",
        "_rev": "_ddo5x3a---",
        "roles": [
            "Simon Bishop"
        ],
        "year": 1997
    },
    {
        "_key": "320",
        "_id": "actsIn/320",
        "_from": "actors/CubaG",
        "_to": "movies/AsGoodAsItGets",
        "_rev": "_ddo5x52---",
        "roles": [
            "Frank Sachs"
        ],
        "year": 1997
    },
    {
        "_key": "327",
        "_id": "actsIn/327",
        "_from": "actors/Robin",
        "_to": "movies/WhatDreamsMayCome",
        "_rev": "_ddo5yTK---",
        "roles": [
            "Chris Nielsen"
        ],
        "year": 1998
    },
    {
        "_key": "329",
        "_id": "actsIn/329",
        "_from": "actors/CubaG",
        "_to": "movies/WhatDreamsMayCome",
        "_rev": "_ddo5yWW---",
        "roles": [
            "Albert Lewis"
        ],
        "year": 1998
    },
    {
        "_key": "331",
        "_id": "actsIn/331",
        "_from": "actors/AnnabellaS",
        "_to": "movies/WhatDreamsMayCome",
        "_rev": "_ddo5yZG---",
        "roles": [
            "Annie Collins-Nielsen"
        ],
        "year": 1998
    },
    {
        "_key": "333",
        "_id": "actsIn/333",
        "_from": "actors/MaxS",
        "_to": "movies/WhatDreamsMayCome",
        "_rev": "_ddo5yb6---",
        "roles": [
            "The Tracker"
        ],
        "year": 1998
    },
    {
        "_key": "335",
        "_id": "actsIn/335",
        "_from": "actors/WernerH",
        "_to": "movies/WhatDreamsMayCome",
        "_rev": "_ddo5yei---",
        "roles": [
            "The Face"
        ],
        "year": 1998
    },
    {
        "_key": "341",
        "_id": "actsIn/341",
        "_from": "actors/EthanH",
        "_to": "movies/SnowFallingonCedars",
        "_rev": "_ddo5yzC---",
        "roles": [
            "Ishmael Chambers"
        ],
        "year": 1999
    },
    {
        "_key": "343",
        "_id": "actsIn/343",
        "_from": "actors/RickY",
        "_to": "movies/SnowFallingonCedars",
        "_rev": "_ddo5y12---",
        "roles": [
            "Kazuo Miyamoto"
        ],
        "year": 1999
    },
    {
        "_key": "345",
        "_id": "actsIn/345",
        "_from": "actors/MaxS",
        "_to": "movies/SnowFallingonCedars",
        "_rev": "_ddo5y4u---",
        "roles": [
            "Nels Gudmundsson"
        ],
        "year": 1999
    },
    {
        "_key": "347",
        "_id": "actsIn/347",
        "_from": "actors/JamesC",
        "_to": "movies/SnowFallingonCedars",
        "_rev": "_ddo5y7e---",
        "roles": [
            "Judge Fielding"
        ],
        "year": 1999
    },
    {
        "_key": "354",
        "_id": "actsIn/354",
        "_from": "actors/TomH",
        "_to": "movies/YouveGotMail",
        "_rev": "_ddo5zRO---",
        "roles": [
            "Joe Fox"
        ],
        "year": 1998
    },
    {
        "_key": "356",
        "_id": "actsIn/356",
        "_from": "actors/MegR",
        "_to": "movies/YouveGotMail",
        "_rev": "_ddo5zV----",
        "roles": [
            "Kathleen Kelly"
        ],
        "year": 1998
    },
    {
        "_key": "358",
        "_id": "actsIn/358",
        "_from": "actors/GregK",
        "_to": "movies/YouveGotMail",
        "_rev": "_ddo5zXy---",
        "roles": [
            "Frank Navasky"
        ],
        "year": 1998
    },
    {
        "_key": "360",
        "_id": "actsIn/360",
        "_from": "actors/ParkerP",
        "_to": "movies/YouveGotMail",
        "_rev": "_ddo5zaO---",
        "roles": [
            "Patricia Eden"
        ],
        "year": 1998
    },
    {
        "_key": "362",
        "_id": "actsIn/362",
        "_from": "actors/DaveC",
        "_to": "movies/YouveGotMail",
        "_rev": "_ddo5zd6---",
        "roles": [
            "Kevin Jackson"
        ],
        "year": 1998
    },
    {
        "_key": "364",
        "_id": "actsIn/364",
        "_from": "actors/SteveZ",
        "_to": "movies/YouveGotMail",
        "_rev": "_ddo5zgW---",
        "roles": [
            "George Pappas"
        ],
        "year": 1998
    },
    {
        "_key": "371",
        "_id": "actsIn/371",
        "_from": "actors/TomH",
        "_to": "movies/SleeplessInSeattle",
        "_rev": "_ddo5z8K---",
        "roles": [
            "Sam Baldwin"
        ],
        "year": 1993
    },
    {
        "_key": "373",
        "_id": "actsIn/373",
        "_from": "actors/MegR",
        "_to": "movies/SleeplessInSeattle",
        "_rev": "_ddo50-e---",
        "roles": [
            "Annie Reed"
        ],
        "year": 1993
    },
    {
        "_key": "375",
        "_id": "actsIn/375",
        "_from": "actors/RitaW",
        "_to": "movies/SleeplessInSeattle",
        "_rev": "_ddo50A6---",
        "roles": [
            "Suzy"
        ],
        "year": 1993
    },
    {
        "_key": "377",
        "_id": "actsIn/377",
        "_from": "actors/BillPull",
        "_to": "movies/SleeplessInSeattle",
        "_rev": "_ddo50DS---",
        "roles": [
            "Walter"
        ],
        "year": 1993
    },
    {
        "_key": "379",
        "_id": "actsIn/379",
        "_from": "actors/VictorG",
        "_to": "movies/SleeplessInSeattle",
        "_rev": "_ddo50Ga---",
        "roles": [
            "Greg"
        ],
        "year": 1993
    },
    {
        "_key": "381",
        "_id": "actsIn/381",
        "_from": "actors/RosieO",
        "_to": "movies/SleeplessInSeattle",
        "_rev": "_ddo50Jy---",
        "roles": [
            "Becky"
        ],
        "year": 1993
    },
    {
        "_key": "385",
        "_id": "actsIn/385",
        "_from": "actors/TomH",
        "_to": "movies/JoeVersustheVolcano",
        "_rev": "_ddo50Xe---",
        "roles": [
            "Joe Banks"
        ],
        "year": 1990
    },
    {
        "_key": "387",
        "_id": "actsIn/387",
        "_from": "actors/MegR",
        "_to": "movies/JoeVersustheVolcano",
        "_rev": "_ddo50e----",
        "roles": [
            "DeDe",
            "Angelica Graynamore",
            "Patricia Graynamore"
        ],
        "year": 1990
    },
    {
        "_key": "389",
        "_id": "actsIn/389",
        "_from": "actors/Nathan",
        "_to": "movies/JoeVersustheVolcano",
        "_rev": "_ddo50ga---",
        "roles": [
            "Baw"
        ],
        "year": 1990
    },
    {
        "_key": "395",
        "_id": "actsIn/395",
        "_from": "actors/BillyC",
        "_to": "movies/WhenHarryMetSally",
        "_rev": "_ddo50zC---",
        "roles": [
            "Harry Burns"
        ],
        "year": 1998
    },
    {
        "_key": "397",
        "_id": "actsIn/397",
        "_from": "actors/MegR",
        "_to": "movies/WhenHarryMetSally",
        "_rev": "_ddo501u---",
        "roles": [
            "Sally Albright"
        ],
        "year": 1998
    },
    {
        "_key": "399",
        "_id": "actsIn/399",
        "_from": "actors/CarrieF",
        "_to": "movies/WhenHarryMetSally",
        "_rev": "_ddo504S---",
        "roles": [
            "Marie"
        ],
        "year": 1998
    },
    {
        "_key": "433",
        "_id": "actsIn/433",
        "_from": "actors/BrunoK",
        "_to": "movies/WhenHarryMetSally",
        "_rev": "_ddo7CJe---",
        "roles": [
            "Jess"
        ],
        "year": 1998
    }
]
for d in data
	 INSERT d INTO actsIn

插入的数据如下

image-20211227155458904

使用命令

1
for v in actsIn return v

得到查询结果如下

image-20211227155613743

4.2 查询出演TheMatrix 或 TheDevilsAdvocate 的演员

4.2.1 查询出演TheMatrix的演员

查询命令如下

1
2
FOR x IN ANY 'movies/TheMatrix' actsIn
   RETURN x

得到的结果如下

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6
7
8
9
10
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12
13
14
15
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35
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37
[
  {
    "_key": "Keanu",
    "_id": "actors/Keanu",
    "_rev": "_ddpPjj6--_",
    "name": "Keanu Reeves",
    "born": 1964
  },
  {
    "_key": "Carrie",
    "_id": "actors/Carrie",
    "_rev": "_ddpPjj6--B",
    "name": "Carrie-Anne Moss",
    "born": 1967
  },
  {
    "_key": "Laurence",
    "_id": "actors/Laurence",
    "_rev": "_ddpPjj6--D",
    "name": "Laurence Fishburne",
    "born": 1961
  },
  {
    "_key": "Hugo",
    "_id": "actors/Hugo",
    "_rev": "_ddpPjj6--F",
    "name": "Hugo Weaving",
    "born": 1960
  },
  {
    "_key": "Emil",
    "_id": "actors/Emil",
    "_rev": "_ddpPjj6--H",
    "name": "Emil Eifrem",
    "born": 1978
  }
]

使用表格表示

image-20211227160331030

4.2.2 合并查询结果

使用 UNION_DISTINCT关键字合并查询结果

查询命令如下

1
2
3
4
5
FOR v IN UNION_DISTINCT(
( FOR x IN ANY 'movies/TheMatrix' actsIn RETURN x),
( FOR y IN ANY 'movies/TheDevilsAdvocate' actsIn RETURN y)
)
return v

得到的结果如下

image-20211227160714584

4.3 查询同时出演TheMatrix 或 TheDevilsAdvocate 的演员

这种情况下可以使用关键字INTERSECTION进行查询

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3
4
5
FOR v IN INTERSECTION(
( FOR x IN ANY 'movies/TheMatrix' actsIn RETURN x),
( FOR y IN ANY 'movies/TheDevilsAdvocate' actsIn RETURN y)
)
return v

得到的查询结果如下

image-20211227161649341

4.4 查询两个演员同时出演的电影

这其实和关于movie1和movie2中共同演员的问题是一样的。 我们只需要改变起始顶点。 例如，让我们找出 Hugo Weaving 和Keanu Reeves 共同主演的所有电影：

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2
3
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FOR v IN INTERSECTION(
   (FOR x IN ANY 'actors/Hugo' actsIn RETURN x),
   (FOR y IN ANY 'actors/Keanu' actsIn RETURN y)
 ) RETURN v

得到的查询结果如下

image-20211227161955515

4.5 查询出演出过三部及以上电影的演员

将利用 AQL 的边缘索引和 COLLECT 语句进行分组。 基本思想是按起始顶点（在此数据集中始终是参与者）对所有边进行分组。 然后我们从结果中删除所有少于 3 部电影的演员。 下面的查询还返回计算出的演员演过的电影数量：

查询命令如下

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3
4
FOR x IN actsIn
  COLLECT actor = x._from WITH COUNT INTO counter
  FILTER counter >= 3
  RETURN { actor: actor, movies: counter }

得到的结果如下

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[
  {
    "actor": "actors/Carrie",
    "movies": 3
  },
  {
    "actor": "actors/CubaG",
    "movies": 4
  },
  {
    "actor": "actors/Hugo",
    "movies": 3
  },
  {
    "actor": "actors/Keanu",
    "movies": 4
  },
  {
    "actor": "actors/Laurence",
    "movies": 3
  },
  {
    "actor": "actors/MegR",
    "movies": 5
  },
  {
    "actor": "actors/TomC",
    "movies": 3
  },
  {
    "actor": "actors/TomH",
    "movies": 3
  }
]

使用表格表示为

image-20211227162234783

4.6 查询出仅有6个演员的电影

与之前查询中的想法相同，但使用相等过滤器，但是现在我们需要电影而不是演员，因此我们返回 _to 属性：

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3
4
FOR x IN actsIn
  COLLECT movie = x._to WITH COUNT INTO counter
  FILTER counter == 6
  RETURN movie

查询结果如下

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3
4
5
[
  "movies/SleeplessInSeattle",
  "movies/TopGun",
  "movies/YouveGotMail"
]

4.7 根据电影查询演员数量

我们记得在我们的数据集中 _to 边缘对应于电影，因此我们计算相同 _to 出现的频率。 这是演员的数量。 该查询与之前的查询几乎相同，但在 COLLECT 之后没有 FILTER：

1
2
3
FOR x IN actsIn
  COLLECT movie = x._to WITH COUNT INTO counter
  RETURN { movie: movie, actors: counter }

得到结果如下

image-20211227162639476

4.8 根据演员查询电影的数量

边上的_to属性对应的是actor，所以我们按它分组，用COLLECT计数。 作为奖励，我们可以添加排序以首先返回拥有最多电影的演员：

1
2
3
4
FOR x IN actsIn
  COLLECT actor = x._from WITH COUNT INTO counter
  SORT counter DESC
  RETURN { actor: actor, movies: counter }

得到的查询结果如下

image-20211227162828385

4.9 演员在两年内出演的电影数量

这个查询是多模型数据库真正发挥作用的地方。 首先我们想在生产中使用它，所以我们在 year 上设置了一个持久性索引。 这允许执行诸如 1990 和 1995 之间的快速范围查询。

1
db.actsIn.ensureIndex({ type: "persistent", fields: ["year"] });

然后执行

1
2
3
4
FOR x IN actsIn
  FILTER x.year >= 1990 && x.year <= 1995
  COLLECT actor = x._from WITH COUNT INTO counter
  RETURN { actor: actor, movies: counter }

得到的结果如下

image-20211227163035896

4.10 根据演员姓名查询其电影年份和数量

如果我们想返回一个年份列表，而不仅仅是演员出演的电影数量，那么我们不能使用 COLLECT WITH COUNT INTO，因为我们只能在分组后访问演员和计数器。 相反，我们可以使用 COLLECT ... INTO来跟踪每个演员的电影年数。 年数等于电影的数量。

为简单起见，示例查询仅限于两个参与者。 作为额外的附加功能，它使用DOCUMENT() 函数查找演员姓名：

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FOR x IN actsIn
   FILTER x._from IN [ "actors/TomH", "actors/Keanu" ]
   COLLECT actor = x._from INTO years = x.year
   RETURN {
     name: DOCUMENT(actor).name,
     movies: COUNT(years),
     years
   }

查询结果如下

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[
  {
    "name": "Keanu Reeves",
    "movies": 4,
    "years": [
      1999,
      2003,
      2003,
      1997
    ]
  },
  {
    "name": "Tom Hanks",
    "movies": 3,
    "years": [
      1998,
      1993,
      1990
    ]
  }
]

使用表格表示为

image-20211227163400928

4.11 查询孤立节点

方法一 

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for m in moveies 

    let a = (
    for r in relation 
    filter r._from== m._id
    return count(count(r)))
   
filter  a[0]==null
return m

方法二

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for m in moveies

    let a =(
    FOR v, e, p IN 1..1 OUTBOUND m GRAPH 'sds'
    return {v:v,e:e,p:p}
    )

    let b =(
    FOR v, e, p IN 1..1 INBOUND m GRAPH 'sds'
    return {v:v,e:e,p:p}
    )

filter count(a)==0 &&  count(b)==0

return  m

方法三

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9
10
for m in moveies

    let a =(
    FOR v, e, p IN 1..1 ANY m GRAPH 'sds'

    return {v:v,e:e,p:p}
    )
filter count(a)==0 

return  m
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