目錄

HugeGraph 索引介紹

二級索引

組合索引

范圍索引

全文索引

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HugeGraph 索引介紹

二級索引

創(chuàng)建schema和添加數(shù)據(jù)

schema.propertyKey("name").asText().ifNotExist().create();schema.propertyKey("uid").asLong().ifNotExist().create();schema.propertyKey("city").asText().ifNotExist().create();schema.propertyKey("mid").asText().ifNotExist().create();schema.propertyKey("url").asText().ifNotExist().create();schema.propertyKey("date").asText().ifNotExist().create();schema.vertexLabel("article").properties("name", "uid", "city","mid","url").useCustomizeStringId().ifNotExist().create(); schema.indexLabel("articleByNameSecondary").onV("article").by("name").secondary().ifNotExist().create();graph.addVertex(T.label, "article",T.id,"id7", "mid", "lakjdflkjalskdjfl", "name", "北京三聯(lián)WiFi熟練度附近", "uid", 1234567897,"city","未知","url","http://test.com//IodUhh2bV");graph.addVertex(T.label, "article",T.id,"id2", "mid", "lakjdflkjalskdjfl", "name", "北京三聯(lián)法律文件而來反饋", "uid", 1234567891,"city","未知","url","http://test.com//IodUhh2bV");graph.addVertex(T.label, "article",T.id,"id3", "mid", "lakjdflkjalskdjfl", "name", "深圳廣州WiFi熟練度附近", "uid", 1234567892,"city","未知","url","http://test.com//IodUhh2bV");graph.addVertex(T.label, "article",T.id,"id4", "mid", "lakjdflkjalskdjfl", "name", "深圳WiFi熟練度附近", "uid", 1234567893,"city","未知","url","http://test.com//IodUhh2bV");graph.addVertex(T.label, "article",T.id,"id5", "mid", "lakjdflkjalskdjfl", "name", "廣州測試", "uid", 1234567894,"city","未知","url","http://test.com//IodUhh2bV");graph.addVertex(T.label, "article",T.id,"id6", "mid", "lakjdflkjalskdjfl", "name", "數(shù)據(jù)", "uid", 1234567895,"city","未知","url","http://test.com//IodUhh2bV");

根據(jù)name查詢，該方法只能全不值匹配，不能模糊匹配

模糊匹配使用該方法，不推薦這么使用，filter過濾數(shù)據(jù)，當數(shù)據(jù)量很大的時候性能會下降

g.V().hasLabel("article").filter{it.get().property("name").value().contains("北京")}; 或者使用下面這個方法進行正則匹配 g.V().hasLabel("article").filter{it.get().property("name").value().matches("北京(.*)")};

?可以對結果進行過濾

組合索引

待補充

范圍索引

待補充

全文索引

創(chuàng)建索引標簽

設置定點article的name字段為全文索引（可以模糊檢索）

schema.indexLabel("articleByNameSearch").onV("article").by("name").search().ifNotExist().create();

其他schema設置

schema.propertyKey("name").asText().ifNotExist().create();schema.propertyKey("uid").asLong().ifNotExist().create();schema.propertyKey("city").asText().ifNotExist().create();schema.propertyKey("mid").asText().ifNotExist().create();schema.propertyKey("url").asText().ifNotExist().create();schema.propertyKey("date").asText().ifNotExist().create();schema.vertexLabel("article").properties("name", "uid", "city","mid","url")// .primaryKeys("name").useCustomizeStringId().ifNotExist().create();

?添加數(shù)據(jù)

graph.addVertex(T.label, "article",T.id,"id7", "mid", "lakjdflkjalskdjfl", "name", "北京三聯(lián)WiFi熟練度附近", "uid", 1234567897,"city","未知","url","http://test.com//IodUhh2bV"); graph.addVertex(T.label, "article",T.id,"id2", "mid", "lakjdflkjalskdjfl", "name", "北京三聯(lián)法律文件而來反饋", "uid", 1234567891,"city","未知","url","http://test.com//IodUhh2bV"); graph.addVertex(T.label, "article",T.id,"id3", "mid", "lakjdflkjalskdjfl", "name", "深圳廣州WiFi熟練度附近", "uid", 1234567892,"city","未知","url","http://test.com//IodUhh2bV"); graph.addVertex(T.label, "article",T.id,"id4", "mid", "lakjdflkjalskdjfl", "name", "深圳WiFi熟練度附近", "uid", 1234567893,"city","未知","url","http://test.com//IodUhh2bV"); graph.addVertex(T.label, "article",T.id,"id5", "mid", "lakjdflkjalskdjfl", "name", "廣州測試", "uid", 1234567894,"city","未知","url","http://test.com//IodUhh2bV"); graph.addVertex(T.label, "article",T.id,"id6", "mid", "lakjdflkjalskdjfl", "name", "數(shù)據(jù)", "uid", 1234567895,"city","未知","url","http://test.com//IodUhh2bV");

?數(shù)據(jù)添加成功，查看數(shù)據(jù)

idlabelproperties

id2	article	{"name":"北京三聯(lián)法律文件而來反饋","uid":1234567891,"city":"未知","mid":"lakjdflkjalskdjfl","url":"http://test.com//IodUhh2bV"}
id3	article	{"name":"深圳廣州WiFi熟練度附近","uid":1234567892,"city":"未知","mid":"lakjdflkjalskdjfl","url":"http://test.com//IodUhh2bV"}
id4	article	{"name":"深圳WiFi熟練度附近","uid":1234567893,"city":"未知","mid":"lakjdflkjalskdjfl","url":"http://test.com//IodUhh2bV"}
id5	article	{"name":"廣州測試","uid":1234567894,"city":"未知","mid":"lakjdflkjalskdjfl","url":"http://test.com//IodUhh2bV"}
id6	article	{"name":"數(shù)據(jù)","uid":1234567895,"city":"未知","mid":"lakjdflkjalskdjfl","url":"http://test.com//IodUhh2bV"}
id7	article	{"name":"北京三聯(lián)WiFi熟練度附近","uid":1234567897,"city":"未知","mid":"lakjdflkjalskdjfl","url":"http://test.com//IodUhh2bV"}

查詢?

添加索引的數(shù)據(jù)會進行分詞，我們在HugeGraph中可以看到配置文件?hugegraph.properties 中有配置分詞項，這里使用jieba分詞

search.text_analyzer=jieba search.text_analyzer_mode=INDEX

執(zhí)行查詢

g.V().hasLabel("article").has("name", Text.contains("熟練度"))

查詢結果：?

idlabelproperties

id3	article	{"name":"深圳廣州WiFi熟練度附近","uid":1234567892,"city":"未知","mid":"lakjdflkjalskdjfl","url":"http://test.com//IodUhh2bV"}
id4	article	{"name":"深圳WiFi熟練度附近","uid":1234567893,"city":"未知","mid":"lakjdflkjalskdjfl","url":"http://test.com//IodUhh2bV"}
id7	article	{"name":"北京三聯(lián)WiFi熟練度附近","uid":1234567897,"city":"未知","mid":"lakjdflkjalskdjfl","url":"http://test.com//IodUhh2bV"}

我們可以看出可以模糊查詢了

?我們再查詢“熟練”，發(fā)現(xiàn)數(shù)據(jù)也可以出來

當查詢“熟”一個字的時候發(fā)現(xiàn)沒有數(shù)據(jù)，搜索“練度”也沒有數(shù)據(jù)，原因是索引將數(shù)據(jù)進行分詞，將分詞后的每個詞進行索引，如果你搜索的詞在分詞的時候沒有分詞出來，最終搜索的結果就會搜索不到，“熟”，“練度”這兩個字（詞），在JieBa分詞中沒有，所以搜索不到。

所以查詢使用使用Text.contains()，也并非我們開發(fā)中判斷字符串中是否包含該字符串的意思。

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總結

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