导出为 GraphML

导出 GraphML 过程将数据导出为 Gephi 和 CytoScape 等其他工具用于读取图数据的格式。

GraphML 并不完全支持属性图数据模型的全部灵活性。主要有两个限制：

  1. GraphML 假定所有具有相同属性名称的节点或关系属性都具有相同类型的值。Neo4j 允许每个属性名称对应混合类型。如果一个属性名称具有混合类型的值，则其值将作为 STRING（字符串）导出。

  2. GraphML 支持的数值类型比 Neo4j 少。因此，所有 POINT（点）和时态值在导出时都格式化为 STRING。

    例如

    Point 3d (三维点)

    {"crs":"wgs-84-3d","latitude":56.7,"longitude":12.78,"height":100.0}

    Point 2d (二维点)

    {"crs":"wgs-84-3d","latitude":56.7,"longitude":12.78,"height":null}

    Date

    2018-10-10

    LocalDateTime

    2018-10-10T00:00

    请注意，为了执行正确的 Point 序列化，不建议导出坐标为 x,y 且 crs 为 'wgs-84' 的点，例如 point({x: 56.7, y: 12.78, crs: 'wgs-84'})。否则，该点将被导出为经度和纬度（以及高度），而不是 x 和 y（以及 z）。

可用过程

下表描述了可用的过程：

限定名称 类型

apoc.export.graphml.all
apoc.export.graphml.all(file STRING, config MAP<STRING, ANY>) - 将整个数据库导出到提供的 GraphML 文件中。

过程

apoc.export.graphml.data
apoc.export.graphml.data(nodes LIST<NODE>, rels LIST<RELATIONSHIP>, file STRING, config MAP<STRING, ANY>) - 将给定的 NODE 和 RELATIONSHIP 值导出到提供的 GraphML 文件中。

过程

apoc.export.graphml.graph
apoc.export.graphml.graph(graph MAP<STRING, ANY>, file STRING, config MAP<STRING, ANY>) - 将给定的图形导出到提供的 GraphML 文件中。

过程

apoc.export.graphml.query
apoc.export.graphml.query(statement STRING, file STRING, config MAP<STRING, ANY>) - 将给定 Cypher 语句的 NODE 和 RELATIONSHIP 值导出到提供的 GraphML 文件中。

过程

导出的标签按字母顺序排列。labels() 函数的输出不是排序的，请将其与 apoc.coll.sort() 结合使用。

导出到文件

默认情况下，导出到文件系统是被禁用的。我们可以通过在 apoc.conf 中设置以下属性来启用它：

apoc.conf
apoc.export.file.enabled=true

有关访问 apoc.conf 的更多信息，请参阅配置选项章节。

如果我们尝试在未先设置此属性的情况下使用任何导出过程，我们将收到以下错误消息：

Failed to invoke procedure: Caused by: java.lang.RuntimeException: Export to files not enabled, please set apoc.export.file.enabled=true in your apoc.conf. Otherwise, if you are running in a cloud environment without filesystem access, use the {stream:true} config and null as a 'file' parameter to stream the export back to your client.

导出文件被写入 import 目录，该目录由 server.directories.import 属性定义。这意味着我们提供的任何文件路径都是相对于此目录的。如果我们尝试写入绝对路径（例如 /tmp/filename），我们将收到类似于以下内容的错误消息：

Failed to invoke procedure: Caused by: java.io.FileNotFoundException: /path/to/neo4j/import/tmp/fileName (No such file or directory)

我们可以通过在 apoc.conf 中设置以下属性来允许写入文件系统上的任何位置：

apoc.conf
apoc.import.file.use_neo4j_config=false

Neo4j 现在将能够写入文件系统上的任何位置，因此在设置此属性之前，请确保这是您的意图。

导出到流

如果我们不想导出到文件，可以通过将文件名设置为 null 并提供 stream:true 配置，将结果流式传输回 data 列。

示例

本节包含展示如何使用导出到 Cypher 过程的示例。这些示例基于电影数据集，可以通过运行以下 Cypher 查询导入：

CREATE (TheMatrix:Movie {title:'The Matrix', released:1999, tagline:'Welcome to the Real World'})
CREATE (Keanu:Person {name:'Keanu Reeves', born:1964})
CREATE (Carrie:Person {name:'Carrie-Anne Moss', born:1967})
CREATE (Laurence:Person {name:'Laurence Fishburne', born:1961})
CREATE (Hugo:Person {name:'Hugo Weaving', born:1960})
CREATE (LillyW:Person {name:'Lilly Wachowski', born:1967})
CREATE (LanaW:Person {name:'Lana Wachowski', born:1965})
CREATE (JoelS:Person {name:'Joel Silver', born:1952})
CREATE
(Keanu)-[:ACTED_IN {roles:['Neo']}]->(TheMatrix),
(Carrie)-[:ACTED_IN {roles:['Trinity']}]->(TheMatrix),
(Laurence)-[:ACTED_IN {roles:['Morpheus']}]->(TheMatrix),
(Hugo)-[:ACTED_IN {roles:['Agent Smith']}]->(TheMatrix),
(LillyW)-[:DIRECTED]->(TheMatrix),
(LanaW)-[:DIRECTED]->(TheMatrix),
(JoelS)-[:PRODUCED]->(TheMatrix);

下方的 Neo4j Browser 可视化显示了导入的图

play movies
图 1. 电影图谱可视化

分离的 GraphML 文件往返处理

对于该数据集

CREATE (f:Foo:Foo2:Foo0 {name:'foo', born:Date('2018-10-10'), place:point({ longitude: 56.7, latitude: 12.78, height: 100 })})-[:KNOWS]->(b:Bar {name:'bar',age:42, place:point({ longitude: 56.7, latitude: 12.78})});
CREATE (:Foo {name: 'zzz'})-[:KNOWS]->(:Bar {age: 0});
CREATE (:Foo {name: 'aaa'})-[:KNOWS {id: 1}]->(:Bar {age: 666});

我们可以执行这 3 个导出查询

// Foo nodes
call apoc.export.graphml.query('MATCH (start:Foo)-[:KNOWS]->(:Bar) RETURN start', 'queryNodesFoo.graphml', {useTypes: true});

// Bar nodes
call apoc.export.graphml.query('MATCH (:Foo)-[:KNOWS]->(end:Bar) RETURN end', 'queryNodesBar.graphml', {useTypes: true});

// KNOWS rels
MATCH (:Foo)-[rel:KNOWS]->(:Bar)
WITH collect(rel) as rels
call apoc.export.graphml.data([], rels, 'queryRelationship.graphml', {useTypes: true})
YIELD nodes, relationships RETURN nodes, relationships;

在这种情况下，我们将得到 3 个文件：.queryNodesFoo.graphml

<?xml version='1.0' encoding='UTF-8'?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="https://w3org.cn/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="born" for="node" attr.name="born" attr.type="string"/>
<key id="name" for="node" attr.name="name" attr.type="string"/>
<key id="place" for="node" attr.name="place" attr.type="string"/>
<key id="labels" for="node" attr.name="labels" attr.type="string"/>
<graph id="G" edgedefault="directed">
<node id="n0" labels=":Foo:Foo0:Foo2"><data key="labels">:Foo:Foo0:Foo2</data><data key="born">2018-10-10</data><data key="name">foo</data><data key="place">{"crs":"wgs-84-3d","latitude":12.78,"longitude":56.7,"height":100.0}</data></node>
<node id="n3" labels=":Foo"><data key="labels">:Foo</data><data key="name">zzz</data></node>
<node id="n5" labels=":Foo"><data key="labels">:Foo</data><data key="name">aaa</data></node>
</graph>
</graphml>
queryNodesBar.graphml
<?xml version='1.0' encoding='UTF-8'?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="https://w3org.cn/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="name" for="node" attr.name="name" attr.type="string"/>
<key id="place" for="node" attr.name="place" attr.type="string"/>
<key id="age" for="node" attr.name="age" attr.type="long"/>
<key id="labels" for="node" attr.name="labels" attr.type="string"/>
<graph id="G" edgedefault="directed">
<node id="n1" labels=":Bar"><data key="labels">:Bar</data><data key="name">bar</data><data key="age">42</data><data key="place">{"crs":"wgs-84","latitude":12.78,"longitude":56.7,"height":null}</data></node>
<node id="n4" labels=":Bar"><data key="labels">:Bar</data><data key="age">0</data></node>
<node id="n6" labels=":Bar"><data key="labels">:Bar</data><data key="age">666</data></node>
</graph>
</graphml>
queryRelationship.graphml
<?xml version='1.0' encoding='UTF-8'?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="https://w3org.cn/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="label" for="edge" attr.name="label" attr.type="string"/>
<key id="id" for="edge" attr.name="id" attr.type="long"/>
<graph id="G" edgedefault="directed">
<edge id="e0" source="n0" target="n1" label="KNOWS"><data key="label">KNOWS</data></edge>
<edge id="e1" source="n3" target="n4" label="KNOWS"><data key="label">KNOWS</data></edge>
<edge id="e2" source="n5" target="n6" label="KNOWS"><data key="label">KNOWS</data><data key="id">1</data></edge>
</graph>
</graphml>

因此，我们可以在另一个数据库中通过这种方式导入，以重现原始数据集，使用以下查询：

CALL apoc.import.graphml('queryNodesFoo.graphml', {readLabels: true, storeNodeIds: true});
CALL apoc.import.graphml('queryNodesBar.graphml', {readLabels: true, storeNodeIds: true});
CALL apoc.import.graphml('queryRelationship.graphml', {readLabels: true, source: {label: 'Foo'}, target: {label: 'Bar'}});

请注意，我们必须先执行节点的导入，并且使用了 useTypes: true 将 node 标签的 id 属性作为属性导入，并使用 readLabels 来为节点填充标签。

使用自定义属性键

或者，我们可以利用自定义属性并避免导入 id 属性（通过 useTypes:true），操作如下（使用与之前相同的数据集和节点导出查询）：

// KNOWS rels
MATCH (:Foo)-[rel:KNOWS]->(:Bar)
WITH collect(rel) as rels
call apoc.export.graphml.data([], rels, 'queryRelationship.graphml',
  {useTypes: true, source: {id: 'name'}, label: {id: 'age'}})
YIELD nodes, relationships RETURN nodes, relationships;

强烈建议使用唯一约束来确保唯一性，在本例中，标签 Foo 使用属性 name，标签 Bar 使用属性 age。

上述查询生成此关系文件

queryRelationship.graphml
<?xml version='1.0' encoding='UTF-8'?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="https://w3org.cn/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="label" for="edge" attr.name="label" attr.type="string"/>
<key id="id" for="edge" attr.name="id" attr.type="long"/>
<graph id="G" edgedefault="directed">
<edge id="e0" source="foo" sourceType="string" target="42" targetType="long" label="KNOWS"><data key="label">KNOWS</data></edge>
<edge id="e1" source="zzz" sourceType="string" target="0" targetType="long" label="KNOWS"><data key="label">KNOWS</data></edge>
<edge id="e2" source="aaa" sourceType="string" target="666" targetType="long" label="KNOWS"><data key="label">KNOWS</data><data key="id">1</data></edge>
</graph>
</graphml>

最后，我们可以使用与上述相同的 id（名称和年龄）导入文件

CALL apoc.import.graphml('queryNodesFoo.graphml', {readLabels: true});
CALL apoc.import.graphml('queryNodesBar.graphml', {readLabels: true});
CALL apoc.import.graphml('queryRelationship.graphml',
  {readLabels: true, source: {label: 'Foo', id: 'name'}, target: {label: 'Bar', id: 'age'}});

将整个数据库导出到 GraphML

apoc.export.graphml.all 过程将整个数据库导出到 GraphML 文件或流中。

以下查询将整个数据库导出到文件 movies.graphml
CALL apoc.export.graphml.all("movies.graphml", {})
表 1. 结果
file source format 节点 relationships 属性 time rows batchSize batches done data

"movies.graphml"

"database: nodes(8), rels(7)"

"graphml"

8

7

21

4

15

-1

0

TRUE

NULL
movies.graphml
<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="https://w3org.cn/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="born" for="node" attr.name="born"/>
<key id="name" for="node" attr.name="name"/>
<key id="tagline" for="node" attr.name="tagline"/>
<key id="label" for="node" attr.name="label"/>
<key id="title" for="node" attr.name="title"/>
<key id="released" for="node" attr.name="released"/>
<key id="roles" for="edge" attr.name="roles"/>
<key id="label" for="edge" attr.name="label"/>
<graph id="G" edgedefault="directed">
<node id="n188" labels=":Movie"><data key="labels">:Movie</data><data key="title">The Matrix</data><data key="tagline">Welcome to the Real World</data><data key="released">1999</data></node>
<node id="n189" labels=":Person"><data key="labels">:Person</data><data key="born">1964</data><data key="name">Keanu Reeves</data></node>
<node id="n190" labels=":Person"><data key="labels">:Person</data><data key="born">1967</data><data key="name">Carrie-Anne Moss</data></node>
<node id="n191" labels=":Person"><data key="labels">:Person</data><data key="born">1961</data><data key="name">Laurence Fishburne</data></node>
<node id="n192" labels=":Person"><data key="labels">:Person</data><data key="born">1960</data><data key="name">Hugo Weaving</data></node>
<node id="n193" labels=":Person"><data key="labels">:Person</data><data key="born">1967</data><data key="name">Lilly Wachowski</data></node>
<node id="n194" labels=":Person"><data key="labels">:Person</data><data key="born">1965</data><data key="name">Lana Wachowski</data></node>
<node id="n195" labels=":Person"><data key="labels">:Person</data><data key="born">1952</data><data key="name">Joel Silver</data></node>
<edge id="e267" source="n189" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Neo"]</data></edge>
<edge id="e268" source="n190" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Trinity"]</data></edge>
<edge id="e269" source="n191" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Morpheus"]</data></edge>
<edge id="e270" source="n192" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Agent Smith"]</data></edge>
<edge id="e271" source="n193" target="n188" label="DIRECTED"><data key="label">DIRECTED</data></edge>
<edge id="e272" source="n194" target="n188" label="DIRECTED"><data key="label">DIRECTED</data></edge>
<edge id="e273" source="n195" target="n188" label="PRODUCED"><data key="label">PRODUCED</data></edge>
</graph>
</graphml>
以下查询在 data 列中返回整个数据库的流：
CALL apoc.export.graphml.all(null, {stream:true})
YIELD file, nodes, relationships, properties, data
RETURN file, nodes, relationships, properties, data;
表 2. 结果
file 节点 relationships 属性 data

NULL

8

7

21

 
"<?xml version=\"1.0\" encoding=\"UTF-8\"?>
 <graphml xmlns="\"http://graphml.graphdrawing.org/xmlns\""
          xmlns:xsi="\"https://w3org.cn/2001/XMLSchema-instance\""
          xsi:schemaLocation="\"http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd\"">
   <key id="\"born\"" for="\"node\"" attr.name="\"born\""/>
   <key id="\"name\"" for="\"node\"" attr.name="\"name\""/>
   <key id="\"tagline\"" for="\"node\"" attr.name="\"tagline\""/>
   <key id="\"label\"" for="\"node\"" attr.name="\"label\""/>
   <key id="\"title\"" for="\"node\"" attr.name="\"title\""/>
   <key id="\"released\"" for="\"node\"" attr.name="\"released\""/>
   <key id="\"roles\"" for="\"edge\"" attr.name="\"roles\""/>
   <key id="\"label\"" for="\"edge\"" attr.name="\"label\""/>
   <graph id="\"G\"" edgedefault="\"directed\"">
     <node id="\"n188\"" labels="\":Movie\"">
       <data key="\"labels\"">:Movie</data>
       <data key="\"title\"">The Matrix</data>
       <data key="\"tagline\"">Welcome to the Real World</data>
       <data key="\"released\"">1999</data>
     </node>
     <node id="\"n189\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1964</data>
       <data key="\"name\"">Keanu Reeves</data>
     </node>
     <node id="\"n190\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1967</data>
       <data key="\"name\"">Carrie-Anne Moss</data>
     </node>
     <node id="\"n191\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1961</data>
       <data key="\"name\"">Laurence Fishburne</data>
     </node>
     <node id="\"n192\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1960</data>
       <data key="\"name\"">Hugo Weaving</data>
     </node>
     <node id="\"n193\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1967</data>
       <data key="\"name\"">Lilly Wachowski</data>
     </node>
     <node id="\"n194\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1965</data>
       <data key="\"name\"">Lana Wachowski</data>
     </node>
     <node id="\"n195\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1952</data>
       <data key="\"name\"">Joel Silver</data>
     </node>
     <edge id="\"e267\"" source="\"n189\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Neo\"]</data>
     </edge>
     <edge id="\"e268\"" source="\"n190\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Trinity\"]</data>
     </edge>
     <edge id="\"e269\"" source="\"n191\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Morpheus\"]</data>
     </edge>
     <edge id="\"e270\"" source="\"n192\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Agent Smith\"]</data>
     </edge>
     <edge id="\"e271\"" source="\"n193\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
     <edge id="\"e272\"" source="\"n194\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
     <edge id="\"e273\"" source="\"n195\"" target="\"n188\"" label="\"PRODUCED\"">
       <data key="\"label\"">PRODUCED</data>
     </edge>
   </graph>
 </graphml>
  "

将指定的节点和关系导出到 GraphML

apoc.export.graphml.data 过程将指定的节点和关系导出到 CSV 文件或流中。

以下查询将所有带有 :Person 标签且 name 属性以 L 开头的节点导出到文件 movies-l.csv：
MATCH (person:Person)
WHERE person.name STARTS WITH "L"
WITH collect(person) AS people
CALL apoc.export.graphml.data(people, [], "movies-l.graphml", {})
YIELD file, source, format, nodes, relationships, properties, time, rows, batchSize, batches, done, data
RETURN file, source, format, nodes, relationships, properties, time, rows, batchSize, batches, done, data
表 3. 结果
file source format 节点 relationships 属性 time rows batchSize batches done data

"movies-l.csv"

"data: nodes(3), rels(0)"

"csv"

3

0

6

2

3

20000

1

TRUE

NULL
movies-l.graphml
<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="https://w3org.cn/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="born" for="node" attr.name="born"/>
<key id="name" for="node" attr.name="name"/>
<key id="label" for="node" attr.name="label"/>
<graph id="G" edgedefault="directed">
<node id="n191" labels=":Person"><data key="labels">:Person</data><data key="born">1961</data><data key="name">Laurence Fishburne</data></node>
<node id="n193" labels=":Person"><data key="labels">:Person</data><data key="born">1967</data><data key="name">Lilly Wachowski</data></node>
<node id="n194" labels=":Person"><data key="labels">:Person</data><data key="born">1965</data><data key="name">Lana Wachowski</data></node>
</graph>
</graphml>
以下查询在 data 列中返回所有 ACTED_IN 关系以及该关系两侧带有 Person 和 Movie 标签的节点的流：
MATCH (person:Person)-[actedIn:ACTED_IN]->(movie:Movie)
WITH collect(DISTINCT person) AS people, collect(DISTINCT movie) AS movies, collect(actedIn) AS actedInRels
CALL apoc.export.graphml.data(people + movies, actedInRels, null, {stream: true})
YIELD file, nodes, relationships, properties, data
RETURN file, nodes, relationships, properties, data;
表 4. 结果
file 节点 relationships 属性 data

NULL

5

4

15

 
"<?xml version=\"1.0\" encoding=\"UTF-8\"?>
 <graphml xmlns="\"http://graphml.graphdrawing.org/xmlns\""
          xmlns:xsi="\"https://w3org.cn/2001/XMLSchema-instance\""
 xsi:schemaLocation="\"http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd\"">
   <key id="\"born\"" for="\"node\"" attr.name="\"born\""/>
   <key id="\"name\"" for="\"node\"" attr.name="\"name\""/>
   <key id="\"tagline\"" for="\"node\"" attr.name="\"tagline\""/>
   <key id="\"label\"" for="\"node\"" attr.name="\"label\""/>
   <key id="\"title\"" for="\"node\"" attr.name="\"title\""/>
   <key id="\"released\"" for="\"node\"" attr.name="\"released\""/>
   <key id="\"roles\"" for="\"edge\"" attr.name="\"roles\""/>
   <key id="\"label\"" for="\"edge\"" attr.name="\"label\""/>
   <graph id="\"G\"" edgedefault="\"directed\"">
     <node id="\"n188\"" labels="\":Movie\"">
       <data key="\"labels\"">:Movie</data>
       <data key="\"title\"">The Matrix</data>
       <data key="\"tagline\"">Welcome to the Real World</data>
       <data key="\"released\"">1999</data>
     </node>
     <node id="\"n189\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1964</data>
       <data key="\"name\"">Keanu Reeves</data>
     </node>
     <node id="\"n190\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1967</data>
       <data key="\"name\"">Carrie-Anne Moss</data>
     </node>
     <node id="\"n191\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1961</data>
       <data key="\"name\"">Laurence Fishburne</data>
     </node>
     <node id="\"n192\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1960</data>
       <data key="\"name\"">Hugo Weaving</data>
     </node>
     <node id="\"n193\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1967</data>
       <data key="\"name\"">Lilly Wachowski</data>
     </node>
     <node id="\"n194\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1965</data>
       <data key="\"name\"">Lana Wachowski</data>
     </node>
     <node id="\"n195\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1952</data>
       <data key="\"name\"">Joel Silver</data>
     </node>
     <edge id="\"e267\"" source="\"n189\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Neo\"]</data>
     </edge>
     <edge id="\"e268\"" source="\"n190\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Trinity\"]</data>
     </edge>
     <edge id="\"e269\"" source="\"n191\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Morpheus\"]</data>
     </edge>
     <edge id="\"e270\"" source="\"n192\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Agent Smith\"]</data>
     </edge>
     <edge id="\"e271\"" source="\"n193\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
     <edge id="\"e272\"" source="\"n194\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
     <edge id="\"e273\"" source="\"n195\"" target="\"n188\"" label="\"PRODUCED\"">
       <data key="\"label\"">PRODUCED</data>
     </edge>
   </graph>
 </graphml>"

将 Cypher 查询结果导出到 GraphML

apoc.export.graphml.query 过程将 Cypher 查询的结果导出到 CSV 文件或流中。

以下查询导出所有 DIRECTED 关系，以及该关系两侧具有 Person 和 Movie 标签的节点到文件 movies-directed.graphml
WITH "MATCH path = (person:Person)-[directed:DIRECTED]->(movie)
      RETURN person, directed, movie" AS query
CALL apoc.export.graphml.query(query, "movies-directed.graphml", {})
YIELD file, source, format, nodes, relationships, properties, time, rows, batchSize, batches, done, data
RETURN file, source, format, nodes, relationships, properties, time, rows, batchSize, batches, done, data;
表 5. 结果
file source format 节点 relationships 属性 time rows batchSize batches done data

"movies-directed.graphml"

"statement: nodes(3), rels(2)"

"graphml"

3

2

7

2

5

-1

0

TRUE

NULL

movies-directed.csv 的内容如下所示：

movies-directed.graphml
<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="https://w3org.cn/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="born" for="node" attr.name="born"/>
<key id="name" for="node" attr.name="name"/>
<key id="tagline" for="node" attr.name="tagline"/>
<key id="label" for="node" attr.name="label"/>
<key id="title" for="node" attr.name="title"/>
<key id="released" for="node" attr.name="released"/>
<key id="label" for="edge" attr.name="label"/>
<graph id="G" edgedefault="directed">
<node id="n188" labels=":Movie"><data key="labels">:Movie</data><data key="title">The Matrix</data><data key="tagline">Welcome to the Real World</data><data key="released">1999</data></node>
<node id="n193" labels=":Person"><data key="labels">:Person</data><data key="born">1967</data><data key="name">Lilly Wachowski</data></node>
<node id="n194" labels=":Person"><data key="labels">:Person</data><data key="born">1965</data><data key="name">Lana Wachowski</data></node>
<edge id="e271" source="n193" target="n188" label="DIRECTED"><data key="label">DIRECTED</data></edge>
<edge id="e272" source="n194" target="n188" label="DIRECTED"><data key="label">DIRECTED</data></edge>
</graph>
</graphml>
以下查询返回所有 DIRECTED 关系以及该关系两侧带有 Person 和 Movie 标签的节点的流：
WITH "MATCH path = (person:Person)-[directed:DIRECTED]->(movie)
      RETURN person, directed, movie" AS query
CALL apoc.export.graphml.query(query, null, {stream: true})
YIELD file, nodes, relationships, properties, data
RETURN file, nodes, relationships, properties, data;
表 6. 结果
file 节点 relationships 属性 data

NULL

3

2

7

 
"<?xml version=\"1.0\" encoding=\"UTF-8\"?>
 <graphml xmlns="\"http://graphml.graphdrawing.org/xmlns\""
          xmlns:xsi="\"https://w3org.cn/2001/XMLSchema-instance\""
          xsi:schemaLocation="\"http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd\"">
   <key id="\"born\"" for="\"node\"" attr.name="\"born\""/>
   <key id="\"name\"" for="\"node\"" attr.name="\"name\""/>
   <key id="\"tagline\"" for="\"node\"" attr.name="\"tagline\""/>
   <key id="\"label\"" for="\"node\"" attr.name="\"label\""/>
   <key id="\"title\"" for="\"node\"" attr.name="\"title\""/>
   <key id="\"released\"" for="\"node\"" attr.name="\"released\""/>
   <key id="\"label\"" for="\"edge\"" attr.name="\"label\""/>
   <graph id="\"G\"" edgedefault="\"directed\"">
     <node id="\"n188\"" labels="\":Movie\"">
       <data key="\"labels\"">:Movie</data>
       <data key="\"title\"">The Matrix</data>
       <data key="\"tagline\"">Welcome to the Real World</data>
       <data key="\"released\"">1999</data>
     </node>
     <node id="\"n193\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1967</data>
       <data key="\"name\"">Lilly Wachowski</data>
     </node>
     <node id="\"n194\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1965</data>
       <data key="\"name\"">Lana Wachowski</data>
     </node>
     <edge id="\"e271\"" source="\"n193\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
     <edge id="\"e272\"" source="\"n194\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
   </graph>
 </graphml>
  "

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