我在Hive中选择ARRAY of STRUCTS时遇到了麻烦。
我的源表如下所示:
+-------------+--+
| field |
+-------------+--+
| id |
| fieldid |
| fieldlabel |
| fieldtype |
| answer_id |
| unitname |
+-------------+--+
这是调查数据,其中id是调查ID,中间的四个字段是响应数据,unitname是调查所涉及的业务单位。
我需要为每个调查ID的所有答案创建一个结构数组。我认为这会奏效,但事实并非如此:
select id,
array(
named_struct(
"field_id",
fieldid,
"field_label",
fieldlabel,
"field_type",
fieldtype,
"answer_id",
answer_id,)) as answers,
unitname
from new_answers;
返回的是每个调查答案(field_id)作为该答案的一个结构的数组,如下所示:
id | answers | unitname
1 | [{"field_id":175877,"field_label":"Comment","field_type":"COMMENT","answer_id":8990947803}] | Location1
2 | [{"field_id":47824,"field_label":"Language","field_type":"MULTIPLE_CHOICE","answer_id":8990950069}] | Location2
2 | [{"field_id":48187,"field_label":"Language Type","field_type":"MULTIPLE_CHOICE","answer_id":8990950070}] | Location2
2 | [{"field_id":47829,"field_label":"Trans #","field_type":"TEXT","answer_id":8990950071}] | Location2
但我需要做的是:
id | answers | unitname
1 | [{"field_id":175877,"field_label":"Comment","field_type":"COMMENT","answer_id":8990947803}] | Location1
2 | [{"field_id":47824,"field_label":"Language","field_type":"MULTIPLE_CHOICE","answer_id":8990950069},
{"field_id":48187,"field_label":"Language Type","field_type":"MULTIPLE_CHOICE","answer_id":8990950070},
{"field_id":47829,"field_label":"Trans #","field_type":"TEXT","answer_id":8990950071}] | Location2
我进行了搜索和搜索,但我发现的所有答案似乎都与使用INSERT INTO .... VALUES()查询有关。我已经有了桌子结构;我无法按照预期的方式将ARRAY送到ARRAY。
任何帮助都将非常感激。
出于复制目的,如果需要:
CREATE TABLE `new_answers`(
`id` bigint,
`fieldid` bigint,
`fieldlabel` string,
`fieldtype` string,
`answer_id` bigint,
`unitname` string)
INSERT INTO new_answers VALUES
(1,175877,"Comment","COMMENT",8990947803,"Location1"),
(2,47824,"Language","MULTIPLE_CHOICE",8990950069,"Location2"),
(2,48187,"Language Type","MULTIPLE_CHOICE",8990950070,"Location2"),
(2,47829,"Trans #","TEXT",8990950071,"Location2");
答案 0 :(得分:0)
您似乎正在寻找的功能是将结构体收集到数组中。 Hive带有两个用于收集数组的函数:collect_set和collect_list。但是,这些函数仅用于创建基本类型的数组。
brickhouse项目的jar(https://github.com/klout/brickhouse/wiki/Downloads)提供了许多功能,包括收集复杂类型的功能。
add jar hdfs://path/to/your/jars/brickhouse-0.6.0.jar
然后您可以使用您喜欢的任何名称添加collect
函数:
create temporary function collect_struct as 'brickhouse.udf.collect.CollectUDAF';
以下查询:
select id
, collect_struct(
named_struct(
"field_id", fieldid,
"field_label", fieldlabel,
"field_type", fieldtype,
"answer_id", answer_id)) as answers
, unitname
from new_answers
group by id, unitname
;
提供以下结果:
id answers unitname
1 [{"field_id":175877,"field_label":"Comment","field_type":"COMMENT","answer_id":8990947803}] Location1
2 [{"field_id":47824,"field_label":"Language","field_type":"MULTIPLE_CHOICE","answer_id":8990950069},{"field_id":48187,"field_label":"Language Type","field_type":"MULTIPLE_CHOICE","answer_id":8990950070},{"field_id":47829,"field_label":"Trans #","field_type":"TEXT","answer_id":8990950071}] Location2