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hivesql 将json格式字符串转为数组

news 来源：原创 2025/5/12 21:47:07

hivesql 将json格式字符串转为数组

完整过程SQL在文末

json 格式字符串

本案例 json 字符串参考格式，请勿使用本数据

{
    "data": [
        {
            "province": 11,
            "id_card": "110182198903224674",
            "name": "闾丘饱乾"
        },
        {
            "province": 21,
            "id_card": "210182198903224674",
            "name": "贺巧"
        }
    ]
}

测试数据

本案例测试数据，复制保存后请勿格式化

{"data":[{"province":11,"id_card":"110182198903224674","name":"闾丘饱乾"},{"province":21,"id_card":"210182198903224674","name":"贺巧"},{"province":31,"id_card":"310182198903224674","name":"方加牡"},{"province":41,"id_card":"410182198903224674","name":"邱赣"},{"province":42,"id_card":"420182198903224674","name":"郝郑惭"},{"province":52,"id_card":"520182198903224674","name":"余烂"},{"province":62,"id_card":"620182198903224674","name":"宇文酚"},{"province":81,"id_card":"810182198903224674","name":"赖队瞻"}]}

创建测试数据库

create database test;

use test;

创建数据表

本案例为数仓分层设计

创建ods层原始数据表
创建dwd层维度数据表
ETL转换ods层数据插入到dwd层

创建ods层原始数据表

create table people_ods(
    info string
);

加载测试数据

load data local inpath "/root/people.json" overwrite into table people_ods;

创建dwd层维度数据表

create table people_dwd(
    id_card string,
    name string,
    province string
);

ETL转换ods层数据插入到dwd层

insert overwrite table people_dwd (
select json_tuple(people,'id_card','name','province') as (id_card,name,province) from (
    select people from (select split(regexp_replace(regexp_replace(get_json_object(info,'$.data'),'\\[|\\]',''),'\\}\\,\\{','\\}\\;\\{'),";") people_list from people_ods) ods
    lateral view explode(people_list) t1 as people) t2);

查询测试

select * from people_dwd;

hive

ETL 解析

查询原始数据

select info from people_ods;

hive

获取json格式数组字符串

使用 get_json_object 函数获取 data 属性

select get_json_object(info,'$.data') from people_ods;

hive json

将字符串两端的 [] 去掉

使用 regexp_replace 函数将开头的 [ 和结尾的 ] 替换为空字，
注意：由于hive使用java语言编写所以需要使用转义字符

select regexp_replace(get_json_object(info,'$.data'),'\\[|\\]','') from people_ods;

hive

清洗后的格式

{"province":11,"id_card":"110182198903224674","name":"闾丘饱乾"},{"province":12,"id_card":"120182198903224674","name":"慕容芋岛"}

将字符串中 },{ 转为 };{ 对象之间使用分号间隔

json格式字符串对象分隔符和属性分隔符都使用的是逗号
使用split函数切分的时候无法区分对象和属性
故而将对象分隔符替换为分号便于split函数切分

select regexp_replace(regexp_replace(get_json_object(info,'$.data'),'\\[|\\]',''),'\\}\\,\\{','\\}\\;\\{') from people_ods;

清洗后的格式

{"province":11,"id_card":"110182198903224674","name":"闾丘饱乾"};{"province":12,"id_card":"120182198903224674","name":"慕容芋岛"}

两次清洗后结果对比

hive

转为字符串数组

select split(regexp_replace(regexp_replace(get_json_object(info,'$.data'),'\\[|\\]',''),'\\}\\,\\{','\\}\\;\\{'),';') from people_ods;

hive

列转行

使用 UDTF 裂函数将单行数据转换为多行数据

select people from (select split(regexp_replace(regexp_replace(get_json_object(info,'$.data'),'\\[|\\]',''),'\\}\\,\\{','\\}\\;\\{'),";") people_list from people_ods) ods
lateral view explode(people_list) t as people;

hive

json 解析

使用 get_json_object 或者 json_tuple 函数对json对象进行解析
本案例使用 json_tuple 函数

select json_tuple(people,'id_card','name','province') as (id_card,name,province) from (
    select people from (select split(regexp_replace(regexp_replace(get_json_object(info,'$.data'),'\\[|\\]',''),'\\}\\,\\{','\\}\\;\\{'),";") people_list from people_ods) ods
    lateral view explode(people_list) t1 as people) t2;

hive

完成过程SQL

-- 创建测试数据库
create database test;
-- 使用测试数据库
use test;

-- 创建ods层原始数据表
create table people_ods(
    info string
);

-- 加载数据
load data local inpath "/root/people.json" overwrite into table people_ods;
-- 查询ods层袁术数据
select info from people_ods;

-- 获取json格式数组字符串
select get_json_object(info,'$.data') from people_ods;

-- 将字符串两端的 [] 去掉
select regexp_replace(get_json_object(info,'$.data'),'\\[|\\]','') from people_ods;

-- 将字符串中 },{ 转为 };{ 对象之间使用分号间隔
select regexp_replace(regexp_replace(get_json_object(info,'$.data'),'\\[|\\]',''),'\\}\\,\\{','\\}\\;\\{') from people_ods;

-- 转为 字符串数组
select split(regexp_replace(regexp_replace(get_json_object(info,'$.data'),'\\[|\\]',''),'\\}\\,\\{','\\}\\;\\{'),';') from people_ods;

-- 列转行
select people from (select split(regexp_replace(regexp_replace(get_json_object(info,'$.data'),'\\[|\\]',''),'\\}\\,\\{','\\}\\;\\{'),";") people_list from people_ods) ods
lateral view explode(people_list) t as people;

-- 转json对象后解析
select json_tuple(people,'id_card','name','province') as (id_card,name,province) from (
    select people from (select split(regexp_replace(regexp_replace(get_json_object(info,'$.data'),'\\[|\\]',''),'\\}\\,\\{','\\}\\;\\{'),";") people_list from people_ods) ods
    lateral view explode(people_list) t1 as people) t2;

-- 创建dwd层维度数据表
create table people_dwd(
    id_card string,
    name string,
    province string
);

-- ETL转换ods层数据插入到dwd层
insert overwrite table people_dwd (
select json_tuple(people,'id_card','name','province') as (id_card,name,province) from (
    select people from (select split(regexp_replace(regexp_replace(get_json_object(info,'$.data'),'\\[|\\]',''),'\\}\\,\\{','\\}\\;\\{'),";") people_list from people_ods) ods
    lateral view explode(people_list) t1 as people) t2);

select * from people_dwd;