Need help on Hive query - hive

Question

hive> describe hivecustomers;
OK
cust_id int
cust_fname string
cust_lname string
cust_email string
cust_password string
cust_street string
cust_city string
cust_state string
cust_zipcode string
hive> describe hiveorders;
OK
ord_id int
ord_dt string
ord_cust_id int
ord_stat string
hive> select * from hiveorders limit 3;
OK
1 2013-07-25 00:00:00.0 11599 CLOSED
2 2013-07-25 00:00:00.0 256 PENDING_PAYMENT
3 2013-07-25 00:00:00.0 12111 COMPLETE
hive> select * from hivecustomers limit 3;
OK
1 Richard Hernandez XXXXXXXXX XXXXXXXXX 6303 Heather Plaza Brownsville TX 78521
2 Mary Barrett XXXXXXXXX XXXXXXXXX 9526 Noble Embers Ridge Littleton CO 80126
3 Ann Smith XXXXXXXXX XXXXXXXXX 3422 Blue Pioneer Bend Caguas PR 00725
Based on the above two tables, I need output as following in Hive, how can I write query to this job ?
+-----------+---------------+---------------+--------------+-----+
|Cust Name | Cust Address | Total Orders | Order Status |Count|
+-----------+---------------+---------------+--------------+-----+
|Andrew |London |15 |Complete |8 |
|Andrew |London |15 |Pending |3 |
|Andrew |London |15 |Processing |4 |
|Andrew |London |15 |On-Hold |1 |
+-----------+---------------+---------------+--------------+-----+

Answer 1

Finally used your data as a CTE (common table expressions) and tested it. Cuctomer 1 has two PENDING_PAYMENT orders and 4 in total, all others have one order per status and 3 each in total:
with hivecustomers as
(
select 1 as cust_id , 'Richard' as cust_fname union all
select 2 as cust_id , 'Mary' as cust_fname union all
select 3 as cust_id , 'Ann' as cust_fname
),
hiveorders as
(
select 1 as ord_id, '2013-07-25 00:00:00.0' as ord_dt, 1 as ord_cust_id, 'CLOSED' as ord_stat union all
select 2 as ord_id, '2013-07-25 00:00:00.0' as ord_dt, 1 as ord_cust_id, 'PENDING_PAYMENT' as ord_stat union all
select 3 as ord_id, '2013-07-25 00:00:00.0' as ord_dt, 1 as ord_cust_id, 'COMPLETE' as ord_stat union all
select 4 as ord_id, '2013-07-25 00:00:00.0' as ord_dt, 1 as ord_cust_id, 'PENDING_PAYMENT' as ord_stat union all
select 21 as ord_id, '2013-07-25 00:00:00.0' as ord_dt, 2 as ord_cust_id, 'CLOSED' as ord_stat union all
select 22 as ord_id, '2013-07-25 00:00:00.0' as ord_dt, 2 as ord_cust_id, 'PENDING_PAYMENT' as ord_stat union all
select 23 as ord_id, '2013-07-25 00:00:00.0' as ord_dt, 2 as ord_cust_id, 'COMPLETE' as ord_stat union all
select 31 as ord_id, '2013-07-25 00:00:00.0' as ord_dt, 3 as ord_cust_id, 'CLOSED' as ord_stat union all
select 32 as ord_id, '2013-07-25 00:00:00.0' as ord_dt, 3 as ord_cust_id, 'PENDING_PAYMENT' as ord_stat union all
select 33 as ord_id, '2013-07-25 00:00:00.0' as ord_dt, 3 as ord_cust_id, 'COMPLETE' as ord_stat
)
select cust_fname, total_orders, order_status, count(*) Count
from
(
select c.cust_fname,
count(*) over(partition by c.cust_id) as total_orders,
o.ord_stat as Order_Status
from hivecustomers c left join hiveorders o on c.cust_id=o.ord_cust_id
)s
group by cust_fname, total_orders, order_status
Output:
OK
cust_fname total_orders order_status count
Ann 3 CLOSED 1
Ann 3 COMPLETE 1
Ann 3 PENDING_PAYMENT 1
Mary 3 CLOSED 1
Mary 3 COMPLETE 1
Mary 3 PENDING_PAYMENT 1
Richard 4 CLOSED 1
Richard 4 COMPLETE 1
Richard 4 PENDING_PAYMENT 2
Time taken: 40.692 seconds, Fetched: 9 row(s)
Just remove CTE and use normal tables instead.