將CSV關係導入到Neo4j

Question

我試圖將數據從MySQL數據庫導入到Neo4j，使用CSV文件作爲中介。我正在關注basic example，但無法完成它的工作。我正在用這些查詢導入兩個表格：

//Import projects. 
USING PERIODIC COMMIT 
LOAD CSV WITH HEADERS FROM "file:/tmp/projects.csv" AS row 
CREATE (:project 
{ 
    project_id: row.fan, 
    project_name: row.project_name 
}); 

//Import people. 
USING PERIODIC COMMIT 
LOAD CSV WITH HEADERS FROM "file:/tmp/persons.csv" AS row 
CREATE (:person 
{ 
    person_id: row.person_id, 
    person_name: row.person_name, 
}); 

//Create indicies. 
CREATE INDEX ON :project(project_id); 
CREATE INDEX ON :project(project_name); 
CREATE INDEX ON :person(person_id); 
CREATE INDEX ON :person(person_name); 

此部件適用。當我嘗試導入關係時，不起作用的是：

//Create project-person relationships. 
USING PERIODIC COMMIT 
LOAD CSV WITH HEADERS FROM "file:/tmp/project_persons.csv" AS row 
MATCH (project:project {project_id: row.project_id}) 
MATCH (person:person {person_id: row.person_id}) 
MERGE (person)-[:CONTRIBUTED]->(project); 

控制檯接受沒有錯誤的查詢，但從未結束。它在100％CPU，25％RAM下運行數天，但磁盤使用率可以忽略不計。數據庫信息中沒有關係。

我在某個地方犯了錯，還是真的這麼慢？ project_persons.csv文件長度爲1300萬行，但不應該定期提交現在顯示的內容嗎？

Answer 1

shouldn't the periodic commit make something show up by now? 

僅適用於LOAD - 做一個「解釋」在前面的創建，它會告訴你它是如何構建的更新和預計處理記錄＃。我遇到了同樣的問題 - Neo4j將整個更新作爲單個事務進行，並且從未完成。交易需要分解成5萬到10萬個tx塊以完成一切。

執行此操作的一種方法是將關係信息作爲一組標記節點導入，然後使用這些節點來MATCH（）人員和項目節點並根據需要創建關係。這種多次

MATCH (r:Relations) 
MATCH (prj:project {project_id: r.project_id}) 
MATCH (per:person {person_id: r.person_id}) 
WITH r, prj, per LIMIT 50000 
MERGE (per)-[:CONTRIBUTED]->(prj) 
DELETE r 

運行，直到創建了所有的關係，你是好去：

USING PERIODIC COMMIT 
LOAD CSV WITH HEADERS FROM "file:/tmp/project_persons.csv" AS row 
CREATE (:Relations {project_id: row.project_id, person_id: row.person_id}) 

然後在50K批量處理的記錄。