ArangoDB是否有分面搜索？

Question

有誰知道ArangoDB是否支持分面搜索以及性能與其他支持它的產品（例如Solr，MarkLogic）或不支持它的產品（例如Mongo）相比如何？

在搜索網站，閱讀文檔以及搜索Google網上論壇后，我認為不會在任何地方進行討論。

謝謝

Answer 1

ArangoDB有一種查詢語言，支持分組查詢。 這允許您實現分面搜索。 為了確定我們對分面搜索有相同的理解，讓我解釋一下，我認為它是什么意思。 例如，您有一個產品清單。 每種產品都有一些屬性（例如名稱，型號）和一些類別（例如制造商）。 然后我可以搜索包含單詞的名稱或名稱。 這將列出所有產品以及指示在哪個類別中有多少產品。 這是你的意思嗎？

因此，舉例：假設您有三個屬性（name，attribute1，attribute2）和兩個類別（category1，category2）的文檔：

> for (i = 0; i < 10000; i++) db.products.save({category1: i % 5, category2: i % 7, attribute1: i % 13, attribute2: i % 17, name: "Lore Ipsum " + i, productId: i})

所以典型的文件是：

> db.products.any()
{
  "_id" : "products/8788564659",
  "_rev" : "8788564659",
  "_key" : "8788564659",
  "productId" : 9291,
  "category1" : 1,
  "category2" : 2,
  "attribute1" : 9,
  "attribute2" : 9,
  "name" : "Lore Ipsum 9291"
}

如果要搜索屬性1在2和3（含）之間的所有文檔，可以使用

> db._query("FOR p IN products FILTER p.attribute1 >= 2 && p.attribute1 <= 3 SORT p.name LIMIT 3 RETURN p").toArray();
[
  {
    "_id" : "products/7159077555",
    "_rev" : "7159077555",
    "_key" : "7159077555",
    "productId" : 1003,
    "category1" : 3,
    "category2" : 2,
    "attribute1" : 2,
    "attribute2" : 0,
    "name" : "Lore Ipsum 1003"
  },
  {
    "_id" : "products/7159274163",
    "_rev" : "7159274163",
    "_key" : "7159274163",
    "productId" : 1004,
    "category1" : 4,
    "category2" : 3,
    "attribute1" : 3,
    "attribute2" : 1,
    "name" : "Lore Ipsum 1004"
  },
  {
    "_id" : "products/7161633459",
    "_rev" : "7161633459",
    "_key" : "7161633459",
    "productId" : 1016,
    "category1" : 1,
    "category2" : 1,
    "attribute1" : 2,
    "attribute2" : 13,
    "name" : "Lore Ipsum 1016"
  }
]

或者如果您只對產品標識感興趣

> db._query("FOR p IN products FILTER p.attribute1 >= 2 && p.attribute1 <= 3 SORT p.name LIMIT 3 RETURN p.productId").toArray();
[
  1003,
  1004,
  1016
]

現在為了獲得類別1的方面

>  db._query("LET l = (FOR p IN products FILTER p.attribute1 >= 2 && p.attribute1 <= 3 SORT p.name RETURN p) return [ slice(l,@skip,@count), (FOR p in l collect c1 = p.category1 INTO g return { category1: c1, count: length(g[*].p)}) ]", { skip: 0, count: 3 }).toArray()
[
  [
    [
      {
        "_id" : "products/7159077555",
        "_rev" : "7159077555",
        "_key" : "7159077555",
        "productId" : 1003,
        "category1" : 3,
        "category2" : 2,
        "attribute1" : 2,
        "attribute2" : 0,
        "name" : "Lore Ipsum 1003"
      },
      {
        "_id" : "products/7159274163",
        "_rev" : "7159274163",
        "_key" : "7159274163",
        "productId" : 1004,
        "category1" : 4,
        "category2" : 3,
        "attribute1" : 3,
        "attribute2" : 1,
        "name" : "Lore Ipsum 1004"
      },
      {
        "_id" : "products/7161633459",
        "_rev" : "7161633459",
        "_key" : "7161633459",
        "productId" : 1016,
        "category1" : 1,
        "category2" : 1,
        "attribute1" : 2,
        "attribute2" : 13,
        "name" : "Lore Ipsum 1016"
      }
    ],
    [
      {
        "category1" : 0,
        "count" : 307
      },
      {
        "category1" : 1,
        "count" : 308
      },
      {
        "category1" : 2,
        "count" : 308
      },
      {
        "category1" : 3,
        "count" : 308
      },
      {
        "category1" : 4,
        "count" : 308
      }
    ]
  ]
]

要深入到category1並使用facet進行類別2：

>  db._query("LET l = (FOR p IN products FILTER p.attribute1 >= 2 && p.attribute1 <= 3 && p.category1 == 1 SORT p.name RETURN p) return [ slice(l,@skip,@count), (FOR p in l collect c2 = p.category2 INTO g return { category2: c2, count: length(g[*].p)}) ]", { skip: 0, count: 3 }).toArray()
[
  [
    [
      {
        "_id" : "products/7161633459",
        "_rev" : "7161633459",
        "_key" : "7161633459",
        "productId" : 1016,
        "category1" : 1,
        "category2" : 1,
        "attribute1" : 2,
        "attribute2" : 13,
        "name" : "Lore Ipsum 1016"
      },
      {
        "_id" : "products/7169497779",
        "_rev" : "7169497779",
        "_key" : "7169497779",
        "productId" : 1056,
        "category1" : 1,
        "category2" : 6,
        "attribute1" : 3,
        "attribute2" : 2,
        "name" : "Lore Ipsum 1056"
      },
      {
        "_id" : "products/6982720179",
        "_rev" : "6982720179",
        "_key" : "6982720179",
        "productId" : 106,
        "category1" : 1,
        "category2" : 1,
        "attribute1" : 2,
        "attribute2" : 4,
        "name" : "Lore Ipsum 106"
      }
    ],
    [
      {
        "category2" : 0,
        "count" : 44
      },
      {
        "category2" : 1,
        "count" : 44
      },
      {
        "category2" : 2,
        "count" : 44
      },
      {
        "category2" : 3,
        "count" : 44
      },
      {
        "category2" : 4,
        "count" : 44
      },
      {
        "category2" : 5,
        "count" : 44
      },
      {
        "category2" : 6,
        "count" : 44
      }
    ]
  ]
]

為了使搜索字符串更加用戶友好，有必要在Javascript中編寫一些小幫助函數。 我認為支持小組https://groups.google.com/forum/#!forum/arangodb是討論您的要求的正確位置。