我试图加载一个CSV文件（25 MB大小，150 000行），其中包含22列到neo4j图使用py2neo飞行建模。

密码查询用于一个查询，包含节点和节点（机场、城市、航班和飞机）之间的关系创建。但是在运行代码时，即使使用定期提交也需要很长时间。

我不确定我编写的密码查询是否已优化，可能是缓慢的原因。对于10 000行，我花了大约10分钟来构建图表…有人能帮我吗？这是代码：

def importFromCSVtoNeo(graph):
query = '''
    USING PERIODIC COMMIT 1000
    LOAD CSV WITH HEADERS FROM "file:///flights.csv" AS row FIELDTERMINATOR '\t' 
    WITH row 

    MERGE (c_departure:City {cityName: row.cityName_departure}) 
    MERGE (a_departure:Airport {airportName: row.airportName_departure}) 
    MERGE (f_segment1:Flight {airline: row.airline1}) 
    ON CREATE SET f_segment1.class = row.class1, 
                  f_segment1.outboundclassgroup = row.outboundclassgroup1 

    MERGE (a_departure)-[:IN]->(c_departure) 
    MERGE (c_departure)-[:HAS]->(a_departure) 
    MERGE (f_segment1)-[:FROM {departAt: row.outbounddeparttime}]->(a_departure) 

    MERGE (c_transfer:City {cityName: row.transferCityName}) 
    MERGE (a_transfer:Airport {airportName: row.airportName_transfer}) 
    MERGE (f_segment1)-[:TO_TRANSFER {transferArriveAt: row.transferArriveAt}]->(a_transfer) 
    MERGE (a_transfer)-[:IN]->(c_transfer) 
    MERGE (c_transfer)-[:HAS]->(a_transfer) 

    MERGE (c_arrival:City {cityName: row.cityName_arrival}) 
    MERGE (a_arrival:Airport {airportName: row.airportName_arrival}) 
    MERGE (f_segment2:Flight {airline: row.airline2}) 
    ON CREATE SET f_segment2.class = row.class2, 
                  f_segment2.outboundclassgroup = row.outboundclassgroup2 
    MERGE (f_segment2)-[:TO {arrivalAt: row.outboundarrivaltime}]->(a_arrival) 
    MERGE (f_segment2)-[:FROM_TRANSFER {transferDepartAt: row.transferDepartAt}]->(a_transfer) 
    MERGE (a_arrival)-[:IN]->(c_arrival) 
    MERGE (c_arrival)-[:HAS]->(a_arrival) 


    MERGE (p:Plane {saleprice: row.saleprice}) 
    ON CREATE SET p.depart = row.cityName_departure, 
                  p.destination = row.cityName_arrival, 
                  p.salechannel = row.salechannel, 
                  p.planeDuration = row.planeDuration 
    MERGE (p)-[:HAS_FLIGHTS]->(f_segment1) 
    MERGE (f_segment1)-[:WAIT_FOR {waitingTime: row.waitingTime}]->(f_segment2) 
    '''

graph.run(query)


if __name__ == '__main__':
    graph = Graph()
    importFromCSVtoNeo(graph)

我也尝试过以批处理模式进行，但性能并没有变得更好…我将感谢任何意见或建议。谢谢！！