mysql - 将 JSON 文件导入 MySQL 5.7

Question

我无法在 Mysql 5.7 中将 .json 文件作为表导入；所有行保持空白。我不确定错误在哪里。

我正在使用存储在 /home/name/json_data/sample.json 下的以下 json 文件

{
    "price": null,
    "sale_list": [
        {
            "buyer": "SmackMe089",
            "date": "April 29th 2019 21:20:50",
            "id": "1234",
            "item_desc": ""
        }
}

当我尝试使用以下命令将其导入 mysql 5.7 sql 时文件没有被导入。

文件.sql:

CREATE TABLE example_table (
         id INT NOT NULL AUTO_INCREMENT,
         json_data JSON NOT NULL,
         PRIMARY KEY (id)
);

LOAD DATA INFILE '/home/path/json_data/sample.json' INTO TABLE example_table (json_data);

尝试导入到mysql: mysql --host=host_ip -u root -p db_name < /home/path/data/file.sql

Answer 1

有几个选项:

1. 13.2.6 LOAD DATA Syntax
2. 7.2 JSON Import Utility

测试:

$ mysql
Welcome to the MySQL monitor.  Commands end with ; or \g.
Your MySQL connection id is 1
Server version: 5.7.26 MySQL Community Server (GPL)

mysql> SELECT VERSION();
+-----------+
| VERSION() |
+-----------+
| 5.7.26    |
+-----------+
1 row in set (0.00 sec)

mysql> DROP TABLE IF EXISTS `test`.`example_table`;
Query OK, 0 rows affected, 1 warning (0.00 sec)

mysql> CREATE TABLE IF NOT EXISTS `test`.`example_table` (
    ->   `id` INT NOT NULL AUTO_INCREMENT,
    ->   `json_data` JSON NOT NULL,
    ->   PRIMARY KEY (`id`)
    -> );
Query OK, 0 rows affected (0.01 sec)

<强>1。加载数据

文件:/path/to/file/sample.json

{"price": null, "sale_list": [{"buyer": "SmackMe089", "date": "April 29th 2019 21:20:50", "id": "1234", "item_desc": ""}]}

MySQL 命令行客户端

mysql> LOAD DATA INFILE '/path/to/file/sample.json'
    -> INTO TABLE `test`.`example_table` (`json_data`);
Query OK, 1 row affected (0.01 sec)
Records: 1  Deleted: 0  Skipped: 0  Warnings: 0

mysql> SELECT `id`, `json_data`
    -> FROM `test`.`example_table`\G
*************************** 1. row ***************************
       id: 1
json_data: {"price": null, "sale_list": [{"id": "1234", "date": "April 29th 2019 21:20:50", "buyer": "SmackMe089", "item_desc": ""}]}
1 row in set (0.00 sec)

<强>2。 JSON 导入实用程序

文件:/path/to/file/sample.json

{
    "price": null,
    "sale_list": [
        {
            "buyer": "SmackMe089",
            "date": "April 29th 2019 21:20:50",
            "id": "1234",
            "item_desc": ""
        }
    ]
}

MySQL Shell:正如 @TimBiegeleisen 所说，您可以使用 MySQL Shell (即使使用 MySQL 5.7)，但您必须激活 X Plugin :

$ mysqlsh --sql
MySQL Shell 8.0.16

Your MySQL connection id is 2 (X protocol)
Server version: 5.7.26 MySQL Community Server (GPL)
No default schema selected; type \use <schema> to set one.

MySQL 127.0.0.1:15726+ SQL > SELECT VERSION();
+-----------+
| VERSION() |
+-----------+
| 5.7.26    |
+-----------+
1 row in set (0.0004 sec)

MySQL 127.0.0.1:15726+ SQL > SELECT `id`, `json_data`
                          -> FROM `test`.`example_table`\G
*************************** 1. row ***************************
       id: 1
json_data: {"price": null, "sale_list": [{"id": "1234", "date": "April 29th 2019 21:20:50", "buyer": "SmackMe089", "item_desc": ""}]}
1 row in set (0.00 sec)

MySQL 127.0.0.1:15726+ SQL > \js
Switching to JavaScript mode...

MySQL 127.0.0.1:15726+ JS > util.importJson('/path/to/file/sample.json', {schema: 'test', table: 'example_table', tableColumn: 'json_data'});
Importing from file "/path/to/file/sample.json" to table `test`.`example_table` in MySQL Server at 127.0.0.1:15726

.. 1.. 1
Processed 204 bytes in 1 document in 0.0007 sec (1.36K documents/s)
Total successfully imported documents 1 (1.36K documents/s)

MySQL 127.0.0.1:15726+ JS > \sql
Switching to SQL mode... Commands end with ;

MySQL 127.0.0.1:15726+ SQL > SELECT `id`, `json_data`
                          -> FROM `test`.`example_table`\G
*************************** 1. row ***************************
       id: 1
json_data: {"price": null, "sale_list": [{"id": "1234", "date": "April 29th 2019 21:20:50", "buyer": "SmackMe089", "item_desc": ""}]}
1 row in set (0.0007 sec)
*************************** 2. row ***************************
       id: 2
json_data: {"price": null, "sale_list": [{"id": "1234", "date": "April 29th 2019 21:20:50", "buyer": "SmackMe089", "item_desc": ""}]}
2 rows in set (0.0006 sec)