get_json_object函数使用
1)数据xjson
[{"name":"大郎","sex":"男","age":"25"},{"name":"西门庆","sex":"男","age":"47"}]
2)取出第一个json对象
select get_json_object('[{"name":"大郎","sex":"男","age":"25"},{"name":"西门庆","sex":"男","age":"47"}]','$[0]');
结果是:{"name":"大郎","sex":"男","age":"25"}
3)取出第一个json的age字段的值
SELECT get_json_object('[{"name":"大郎","sex":"男","age":"25"},{"name":"西门庆","sex":"男","age":"47"}]',"$[0].age");
结果是:25
创建启动表
1)建表语句
hive (gmall)>
drop table if exists dwd_start_log;
CREATE EXTERNAL TABLE dwd_start_log(
`mid_id` string,
`user_id` string,
`version_code` string,
`version_name` string,
`lang` string,
`source` string,
`os` string,
`area` string,
`model` string,
`brand` string,
`sdk_version` string,
`gmail` string,
`height_width` string,
`app_time` string,
`network` string,
`lng` string,
`lat` string,
`entry` string,
`open_ad_type` string,
`action` string,
`loading_time` string,
`detail` string,
`extend1` string
)
PARTITIONED BY (dt string)
stored as parquet
location '/warehouse/gmall/dwd/dwd_start_log/'
TBLPROPERTIES('parquet.compression'='lzo');
5.1.3 向启动表导入数据
hive (gmall)>
insert overwrite table dwd_start_log
PARTITION (dt='2020-03-10')
select
get_json_object(line,'$.mid') mid_id,
get_json_object(line,'$.uid') user_id,
get_json_object(line,'$.vc') version_code,
get_json_object(line,'$.vn') version_name,
get_json_object(line,'$.l') lang,
get_json_object(line,'$.sr') source,
get_json_object(line,'$.os') os,
get_json_object(line,'$.ar') area,
get_json_object(line,'$.md') model,
get_json_object(line,'$.ba') brand,
get_json_object(line,'$.sv') sdk_version,
get_json_object(line,'$.g') gmail,
get_json_object(line,'$.hw') height_width,
get_json_object(line,'$.t') app_time,
get_json_object(line,'$.nw') network,
get_json_object(line,'$.ln') lng,
get_json_object(line,'$.la') lat,
get_json_object(line,'$.entry') entry,
get_json_object(line,'$.open_ad_type') open_ad_type,
get_json_object(line,'$.action') action,
get_json_object(line,'$.loading_time') loading_time,
get_json_object(line,'$.detail') detail,
get_json_object(line,'$.extend1') extend1
from ods_start_log
where dt='2020-03-10';
3)测试
hive (gmall)> select * from dwd_start_log limit 2;