hive中创建hive-json格式的表及查询

在hive中对于json的数据格式，可以使用get_json_object或json_tuple先解析然后查询。

也可以直接在hive中创建json格式的表结构，这样就可以直接查询，实战如下(hive-2.3.0版本)：

1. 准备数据源

将以下内容保存为test.txt

{"student":{"name":"king","age":11,"sex":"M"},"class":{"book":"语文","level":2,"score":80},"teacher":{"name":"t1","class":"语文"}}
{"student":{"name":"wang","age":12,"sex":"M"},"class":{"book":"语文","level":2,"score":80},"teacher":{"name":"t1","class":"语文"}}
{"student":{"name":"test","age":13,"sex":"M"},"class":{"book":"语文","level":2,"score":80},"teacher":{"name":"t1","class":"语文"}}
{"student":{"name":"test2","age":14,"sex":"M"},"class":{"book":"语文","level":2,"score":80},"teacher":{"name":"t1","class":"语文"}}
{"student":{"name":"test3","age":15,"sex":"M"},"class":{"book":"语文","level":2,"score":80},"teacher":{"name":"t1","class":"语文"}}
{"student":{"name":"test4","age":16,"sex":"M"},"class":{"book":"语文","level":2,"score":80},"teacher":{"name":"t1","class":"语文"}}

2. 创建hive表

注意serde格式大小写不能写错： org.apache.hive.hcatalog.data.JsonSerDe

create external table if not exists dw_stg.student(
student map<string,string> comment "学生信息",
class map<string,string> comment "课程信息",
teacher map<string,string> comment "授课老师信息"
)
comment "学生课程信息"
row format serde 'org.apache.hive.hcatalog.data.JsonSerDe'
stored as textfile;

3. 上传数据

将test.txt上传到刚才创建的student目录

hdfs dfs -put test.txt /user/hive/warehouse/dw_stg.db/student/

4. 使用hql查询

查询所有信息记录：

 

查询字段student信息

查询字段class信息

查询学生姓名为test4的所有记录

取json串中某个值可以使用 student['name'] ，如下：

select 
    student['name'] as stuName,
    class['book'] as cls_book, 
    class['score'] as cls_score,
    teacher['name'] as tech_name 
from student 
where student['name'] = 'test4';

总体看起来，比使用get_json_object或json_tuple解析方便多了。