neo4j数据库创建范例(SQL文)

SQL文:

sql 复制代码
SELECT c.id, c.name, o.amount
FROM customers c
JOIN orders o ON c.id = o.customer_id
  1. 先创建节点(Table、Column)。
  2. 再 MATCH 出节点,建立关系

✅ 针对你的 SQL 的完整 Cypher

cypher 复制代码
// -----------------------------
// 1. 创建表节点
// -----------------------------
MERGE (t_customers:Table {name: "customers"});
MERGE (t_orders:Table {name: "orders"});

// -----------------------------
// 2. 创建字段节点
// -----------------------------
MERGE (col_c_id:Column {name: "id", table: "customers"});
MERGE (col_c_name:Column {name: "name", table: "customers"});
MERGE (col_o_amount:Column {name: "amount", table: "orders"});
MERGE (col_o_customer_id:Column {name: "customer_id", table: "orders"});

// -----------------------------
// 3. 建立表-字段关系
// -----------------------------
MATCH (t_customers:Table {name: "customers"}), (col_c_id:Column {name: "id", table:"customers"})
MERGE (t_customers)-[:HAS_COLUMN]->(col_c_id);

MATCH (t_customers:Table {name: "customers"}), (col_c_name:Column {name: "name", table:"customers"})
MERGE (t_customers)-[:HAS_COLUMN]->(col_c_name);

MATCH (t_orders:Table {name: "orders"}), (col_o_amount:Column {name: "amount", table:"orders"})
MERGE (t_orders)-[:HAS_COLUMN]->(col_o_amount);

MATCH (t_orders:Table {name: "orders"}), (col_o_customer_id:Column {name: "customer_id", table:"orders"})
MERGE (t_orders)-[:HAS_COLUMN]->(col_o_customer_id);

// -----------------------------
// 4. 建立字段间 JOIN 关系
// -----------------------------
MATCH (col_c_id:Column {name:"id", table:"customers"}),
      (col_o_customer_id:Column {name:"customer_id", table:"orders"})
MERGE (col_c_id)-[:JOINS {on:"="}]->(col_o_customer_id);

🔍 查询验证

cypher 复制代码
MATCH (t:Table)-[:HAS_COLUMN]->(c:Column)
RETURN t.name AS table, c.name AS column;

MATCH (c1:Column)-[j:JOINS]->(c2:Column)
RETURN c1.table AS table1, c1.name AS column1,
       j.on AS condition,
       c2.table AS table2, c2.name AS column2;

结果应该是:

表-字段

复制代码
table      | column
-----------+------------
customers  | id
customers  | name
orders     | amount
orders     | customer_id

JOIN 关系

复制代码
table1     | column1 | condition | table2 | column2
-----------+---------+-----------+--------+------------
customers  | id      | =         | orders | customer_id

完整的扩展方案,把 SQL JOIN 的信息 全部带进 Neo4j 的关系属性里。


1. SQL 信息里能提取的点

像你这句:

sql 复制代码
SELECT c.id, c.name, o.amount
FROM customers c
JOIN orders o ON c.id = o.customer_id;

可抽取出来的 JOIN 元数据:

  • 关系条件c.id = o.customer_id
  • 连接符号=
  • JOIN 类型INNER JOIN(省略 INNER 默认就是 INNER)
  • 左表字段customers.id
  • 右表字段orders.customer_id

2. 在 Neo4j 里扩展关系属性

建关系时,不只存 on:"=",而是存完整信息:

cypher 复制代码
MERGE (col_c_id:Column {name:"id", table:"customers"})
MERGE (col_o_customer_id:Column {name:"customer_id", table:"orders"})
MERGE (col_c_id)-[:JOINS {
    condition: "c.id = o.customer_id",
    operator: "=",
    join_type: "INNER",
    left_table: "customers",
    left_column: "id",
    right_table: "orders",
    right_column: "customer_id"
}]->(col_o_customer_id);

3. 查询结果更直观

cypher 复制代码
MATCH (c1:Column)-[j:JOINS]->(c2:Column)
RETURN j.join_type AS join_type,
       j.condition AS condition,
       j.left_table AS left_table,
       j.left_column AS left_column,
       j.operator AS operator,
       j.right_table AS right_table,
       j.right_column AS right_column;

结果就会是:

复制代码
join_type | condition               | left_table | left_column | operator | right_table | right_column
----------+--------------------------+------------+-------------+----------+-------------+--------------
INNER     | c.id = o.customer_id    | customers  | id          | =        | orders      | customer_id

4. 通用做法

  • condition:存完整 SQL 条件
  • operator :存 =>< 这种符号
  • join_type :存 INNER / LEFT / RIGHT / FULL
  • left_table / right_table:存表名
  • left_column / right_column:存字段名

这样以后你要还原 SQL JOIN,或者做可视化,都很方便。


相关推荐
不爱洗脚的小滕2 小时前
【Redis】Scan 命令使用教程:高效遍历海量数据
数据库·redis·bootstrap
宁小法3 小时前
MySQL - 全表扫描 会发生死锁?
数据库·mysql·死锁·存储引擎·全表扫描
瑜伽娃娃3 小时前
基于Redis设计一个高可用的缓存
数据库·redis·缓存
叫我龙翔4 小时前
【MySQL】从零开始了解数据库开发 --- 数据类型
数据库·mysql·数据库开发
睡觉的时候不会困9 小时前
Redis 主从复制详解:原理、配置与主从切换实战
数据库·redis·bootstrap
程序员的世界你不懂11 小时前
【Flask】测试平台开发,新增说明书编写和展示功能 第二十三篇
java·前端·数据库
自学也学好编程11 小时前
【数据库】Redis详解:内存数据库与缓存之王
数据库·redis
JAVA不会写11 小时前
在Mybatis plus中如何使用自定义Sql
数据库·sql
IT 小阿姨(数据库)11 小时前
PgSQL监控死元组和自动清理状态的SQL语句执行报错ERROR: division by zero原因分析和解决方法
linux·运维·数据库·sql·postgresql·centos