wintercoder / datamaker Goto Github PK

CREATE TABLE cust_graph (
id VARCHAR(32) NOT NULL COLLATE 'utf8mb4_0900_ai_ci',
cust_id VARCHAR(32) NOT NULL COLLATE 'utf8mb4_0900_ai_ci',
merchant_id VARCHAR(32) NULL DEFAULT NULL COLLATE 'utf8mb4_0900_ai_ci',
graph_outer_id VARCHAR(32) NOT NULL COLLATE 'utf8mb4_0900_ai_ci',
create_time DATETIME NULL DEFAULT NULL,
reset_time DATETIME NULL DEFAULT NULL,
PRIMARY KEY (id) USING BTREE,
INDEX merchant_id (merchant_id) USING BTREE,
INDEX cust_id (cust_id) USING BTREE,
INDEX graph_outer_id (graph_outer_id) USING BTREE,
INDEX cust_id_merchant_id (cust_id, merchant_id) USING BTREE
)
COLLATE='utf8mb4_0900_ai_ci'
ENGINE=InnoDB
;
后面四个index会被误认为是字段

您的功能中有一个“常量列表(组模式)”，也即是可以自己划定几个值，然后在这个划定范围内随机挑选值注入；请问在sql中有这个函数吗？或者在sql中如何实现这个功能？请您方便时回复我一下，谢谢！！

建表sql：

CREATE TABLE commodity_spu_backflow_data (
id bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增id',
area_name varchar(128) NOT NULL DEFAULT 'CH' COMMENT 'CH=大陆，HK=香港，JP=日本，TW=**，MO=澳门',
spu_id bigint(20) unsigned NOT NULL DEFAULT '0' COMMENT '商品spu_id',
daily_date date NOT NULL COMMENT '数据发生日期，不是同步日期',
sold_num int(10) unsigned NOT NULL DEFAULT '0' COMMENT '日销量',
favorite_num int(10) unsigned NOT NULL DEFAULT '0' COMMENT '日收藏数',
search_click_num int(10) unsigned NOT NULL DEFAULT '0' COMMENT '日搜索结果页商品点击次数',
search_exposure_num int(10) unsigned NOT NULL DEFAULT '0' COMMENT '日搜索结果页商品曝光次数',
search_click_people_num int(10) unsigned NOT NULL DEFAULT '0' COMMENT '日搜索结果页商品点击人数',
search_exposure_people_num int(10) unsigned NOT NULL DEFAULT '0' COMMENT '日搜索结果页商品曝光人数',
detail_page_pv int(10) unsigned NOT NULL DEFAULT '0' COMMENT '日商品详情页浏览量',
bidding_num int(10) unsigned NOT NULL DEFAULT '0' COMMENT '日出价次数',
extra varchar(3072) NOT NULL DEFAULT '' COMMENT '扩展字段 json格式，{"sold_num_30":"近30天销量","favorite_num_30":"近30天收藏人数","detail_page_pv_30":"近30天详情页浏览量","search_click_num_30":"近30日搜索结果页商品点击次数","search_exposure_num_30":"近30日搜索结果页商品曝光次数","search_click_people_num_30":"近30日搜索结果页点击人数","search_click_people_num_14":"近14日搜索结果页点击人数","search_exposure_people_num_14":"近14日搜索结果页曝光人数","search_click_people_num_7":"近7日搜索结果页点击人数","search_exposure_people_num_7":"近7日搜索结果页曝光人数","search_click_people_num_3":"近3日搜索结果页点击人数","search_exposure_people_num_3":"近3日搜索结果页曝光人数"}',
create_time datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
modify_time datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '修改时间',
PRIMARY KEY (id) COMMENT '主键',
KEY idx_create_time (create_time) COMMENT '创建时间',
KEY idx_modify_time (modify_time) COMMENT '修改时间',
KEY idx_spu_id (spu_id),
KEY idx_daily_date (daily_date)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='商品SPU每日回流数据';

设置：

extra的值设置的为：
{"sold_num_30":"15000","favorite_num_30":"150000","bidding_num_30":"5000","detail_page_pv_30":"3000000","search_click_num_30":"6000000","search_exposure_num_30":"2000000000","search_click_people_num_30":"20000","search_click_people_num_14":"40000","search_exposure_people_num_14":"50000","search_click_people_num_7":"30000","search_exposure_people_num_7":"400000","search_click_people_num_3":"50000","search_exposure_people_num_3":"5000000"}

生成的sql：

INSERT INTO commodity_spu_backflow_data (area_name,spu_id,daily_date,sold_num,favorite_num,search_click_num,search_exposure_num,search_click_people_num,search_exposure_people_num,detail_page_pv,bidding_num,extra) VALUES ('HK','61','2021-05-18 06:45:54','12','33','51','57','32','56','47','89','{"sold_num_30":"15000"');

INSERT INTO commodity_spu_backflow_data (area_name,spu_id,daily_date,sold_num,favorite_num,search_click_num,search_exposure_num,search_click_people_num,search_exposure_people_num,detail_page_pv,bidding_num,extra) VALUES ('HK','57','2021-05-10 16:44:26','28','56','17','78','71','3','86','12','{"sold_num_30":"15000"');

问题：

extra字段值被截断了

请问最多500行一组么？

datagrip生成的ddl
CREATE TABLE t_supplier_product
(
id INT AUTO_INCREMENT
PRIMARY KEY,
supplier_id INT NOT NULL
COMMENT '供应商id',
product_detail_id INT NOT NULL
COMMENT '单品id',
price DOUBLE NOT NULL
COMMENT '采购价',
min_price DOUBLE NULL
COMMENT '最低采购价',
before_price DOUBLE NULL
COMMENT '上次采购价',
max_price DOUBLE NULL
COMMENT '最高采购结算价',
tax_rate DOUBLE NOT NULL
COMMENT '税率',
is_lock TINYINT(1) NULL
COMMENT '是否锁定0：否 1：是',
status TINYINT(1) NULL
COMMENT '状态.0:待提交，1:待审核 2:已审核',
create_time DATETIME NOT NULL
COMMENT '创建时间',
update_time DATETIME NOT NULL
COMMENT '更新时间',
sync_status TINYINT(2) DEFAULT '0' NOT NULL
COMMENT '同步状态,需要同步给旺店通:0:待同步,1:已同步 2:同步失败',
audit_time DATETIME NULL
COMMENT '审核时间',
mechanism_code VARCHAR(50) NULL
COMMENT '机构编码',
cooperation_type TINYINT(1) NULL
COMMENT '合同类型 1：商务合作条款 2：补充协议',
cooperation_id VARCHAR(50) NULL
COMMENT '合同ID'
)
COMMENT '供应商货品'
ENGINE = InnoDB
CHARSET = utf8;

navicat生成的ddl

CREATE TABLE t_supplier_product (
id int(11) NOT NULL AUTO_INCREMENT,
supplier_id int(11) NOT NULL COMMENT '供应商id',
product_detail_id int(11) NOT NULL COMMENT '单品id',
price double NOT NULL COMMENT '采购价',
min_price double DEFAULT NULL COMMENT '最低采购价',
before_price double DEFAULT NULL COMMENT '上次采购价',
max_price double DEFAULT NULL COMMENT '最高采购结算价',
tax_rate double NOT NULL COMMENT '税率',
is_lock tinyint(1) DEFAULT NULL COMMENT '是否锁定0：否 1：是',
status tinyint(1) DEFAULT NULL COMMENT '状态.0:待提交，1:待审核 2:已审核',
create_time datetime NOT NULL COMMENT '创建时间',
update_time datetime NOT NULL COMMENT '更新时间',
sync_status tinyint(2) NOT NULL DEFAULT '0' COMMENT '同步状态,需要同步给旺店通:0:待同步,1:已同步 2:同步失败',
audit_time datetime DEFAULT NULL COMMENT '审核时间',
mechanism_code varchar(50) DEFAULT NULL COMMENT '机构编码',
cooperation_type tinyint(1) DEFAULT NULL COMMENT '合同类型 1：商务合作条款 2：补充协议',
cooperation_id varchar(50) DEFAULT NULL COMMENT '合同ID',
PRIMARY KEY (id),
KEY product_detail_id_index (product_detail_id),
KEY supplier_id_index (supplier_id),
KEY create_time_index (create_time),
KEY mechanism_code_index (mechanism_code) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=8353 DEFAULT CHARSET=utf8 COMMENT='供应商货品';

下面的sql能用，上面的sql就不能用了