hive提供了復合數據類型：
Structs： structs內部的數據可以通過DOT（.）來存取，例如，表中一列c的類型為STRUCT{a INT; b INT}，我們可以通過c.a來訪問域a
Maps（K-V對）：訪問指定域可以通過["指定域名稱"]進行，例如，一個Map M包含了一個group-》gid的kv對，gid的值可以通過M[‘group‘]來獲取
Arrays：array中的數據為相同類型，例如，假如array A中元素[‘a‘,‘b‘,‘c‘]，則A[1]的值為‘b‘

Struct使用

建表：

1. hive> create table student_test(id INT, info struct<name:STRING, age:INT>)
2. > ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘,‘
3. > COLLECTION ITEMS TERMINATED BY ‘:‘;
4. OK
5. Time taken: 0.446 seconds

‘FIELDS TERMINATED BY‘ ：字段與字段之間的分隔符
‘‘COLLECTION ITEMS TERMINATED BY‘ ：一個字段各個item的分隔符
導入數據：

1. $ cat test5.txt
2. 1,zhou:30
3. 2,yan:30
4. 3,chen:20
5. 4,li:80
6. hive> LOAD DATA LOCAL INPATH ‘/home/work/data/test5.txt‘ INTO TABLE student_test;
7. Copying data from file:/home/work/data/test5.txt
8. Copying file: file:/home/work/data/test5.txt
9. Loading data to table default.student_test
10. OK
11. Time taken: 0.35 seconds

查詢：

1. hive> select info.age from student_test;
2. Total MapReduce jobs = 1
3. ......
4. Total MapReduce CPU Time Spent: 490 msec
5. OK
6. 30
7. 30
8. 20
9. 80
10. Time taken: 21.677 seconds

Array使用
建表：

1. hive> create table class_test(name string, student_id_list array<INT>)
2. > ROW FORMAT DELIMITED
3. > FIELDS TERMINATED BY ‘,‘
4. > COLLECTION ITEMS TERMINATED BY ‘:‘;
5. OK
6. Time taken: 0.099 seconds

導入數據：

1. $ cat test6.txt
2. 034,1:2:3:4
3. 035,5:6
4. 036,7:8:9:10
5. hive> LOAD DATA LOCAL INPATH ‘/home/work/data/test6.txt‘ INTO TABLE class_test ;
6. Copying data from file:/home/work/data/test6.txt
7. Copying file: file:/home/work/data/test6.txt
8. Loading data to table default.class_test
9. OK
10. Time taken: 0.198 seconds

查詢：

1. hive> select student_id_list[3] from class_test;
2. Total MapReduce jobs = 1
3. ......
4. Total MapReduce CPU Time Spent: 480 msec
5. OK
6. 4
7. NULL
8. 10
9. Time taken: 21.574 seconds

Map使用
建表：

1. hive> create table employee(id string, perf map<string, int>)
2. > ROW FORMAT DELIMITED
3. > FIELDS TERMINATED BY ‘\t‘
4. > COLLECTION ITEMS TERMINATED BY ‘,‘
5. > MAP KEYS TERMINATED BY ‘:‘;
6. OK
7. Time taken: 0.144 seconds

‘MAP KEYS TERMINATED BY’ ：key value分隔符

導入數據：

1. $ cat test7.txt
2. 1 job:80,team:60,person:70
3. 2 job:60,team:80
4. 3 job:90,team:70,person:100
5. hive> LOAD DATA LOCAL INPATH ‘/home/work/data/test7.txt‘ INTO TABLE employee;

查詢：

1. hive> select perf[‘person‘] from employee;
2. Total MapReduce jobs = 1
3. ......
4. Total MapReduce CPU Time Spent: 460 msec
5. OK
6. 70
7. NULL
8. 100
9. Time taken: 20.902 seconds
10. hive> select perf[‘person‘] from employee where perf[‘person‘] is not null;
11. Total MapReduce jobs = 1
12. .......
13. Total MapReduce CPU Time Spent: 610 msec
14. OK
15. 70
16. 100
17. Time taken: 21.989 seconds
18. hive>
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hive array、map、struct使用