I am trying to figure out a way in Hive to select data from a flat source and output into an array of named struct(s). Here is a example of what I am looking for...
You can also use a workaround
select collect_list(full_name) full_name_list from (
select
concat_ws(',',
concat("first_name:",first_name),
concat("last_name:",last_name)
) full_name,
house_id
from house) a
group by house_id
I would use this jar, it is a much better implementation of collect
(and takes complex datatypes).
Query:
add jar /path/to/jar/brickhouse-0.7.1.jar;
create temporary function collect as 'brickhouse.udf.collect.CollectUDAF';
select house_id
, collect(named_struct("first_name", first_name, "last_name", last_name))
from db.table
group by house_id
Output:
1 [{"first_name":"bob","last_name":"jones"}, {"first_name":"jenny","last_name":"jones"}]
2 [{"first_name":"sally","last_name":"johnson"}]
3 [{"first_name":"john","last_name":"smith"},{"first_name":"barb","last_name":"smith"}]
You can try it using pyspark or scalaspark.. Spark sql allows both primitive and non primitive datatypes. ie., You can do collect_set( named_struct)