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Ne4j如何使用python批量匯入資料

說到neo4j的批量匯入資料,我想你一定會想到如下幾點:

  1. import tools
  2. load file
  3. neo4j driver for python/java…

前兩種必須要資料檔案存在檔案系統才可以執行。
但是如果你的資料是以流資料的形式持續獲取的呢?
這時候會選擇python或者java來進行實時的資料節點的匯入。
也許你使用過python的py2neo,然後發現匯入節點的速度特別慢。
這裡就告訴你解決方案:批量匯入 + 不重複Merge

def add_names(items, tx):
    for data in items:
        tx.append(statement_c, data)
    tx.process()

def main():
    with open("./raw.csv", "r") as f:
        content = f.readlines()

    items = []
    for index, c in enumerate(content):
        print(">>> {}".format(index))
        c = c.strip()

        person_name, company_name, visit_time = c.split(",")

        data = {
            "person_name": person_name,
            "company_name": company_name,
            "visit_time": visit_time,
        }
        items.append(data)

        if index % 1000 == 0:
            tx = graph.begin()
            add_names(items, tx)
            items = []
            tx.commit()


if __name__ == '__main__':
    s = time.time()
    statement_c = """MERGE (node1:Person {person_name:{person_name}})
                     MERGE (node2:Company {company_name:{company_name}})
                     MERGE (node1)<-[:Query {visit_time: {visit_time}}]-(node2)"""
    main()
    e = time.time()
    print("耗時:{}s".format(e-s))

具體程式碼就不解讀了,有問題可以在下面留言。

這裡的merge語句是參考:https://stackoverflow.com/questions/35381968/cypher-node-already-exists-issue-with-merge
python程式碼參考:https://py2neo.org/2.0/cypher.html#py2neo.cypher.CypherTransaction.process
Neo4j python driver 1.6:https://neo4j.com/docs/api/python-driver/1.7-preview/index.html?highlight=import


py2neo 2.0:https://py2neo.org/2.0/cypher.html#py2neo.cypher.CypherTransaction.process
py2neo v4:https://py2neo.org/v4/