Hive基礎sql語法(DML)
參考官方文檔: DML文檔
- 因update和delete在Hive中一般用不到,本篇文章不做講解。本文主要介紹Load和insert操作。
1. LOAD(加載數據)
LOAD作用是加載文件到表中(Loading files into tables)
-
下面是官網上為我們列出的語法:
LOAD DATA [LOCAL] INPATH ‘filepath‘ [OVERWRITE] INTO TABLE tablename [PARTITION (partcol1=val1, partcol2=val2 ...)] LOAD DATA [LOCAL] INPATH ‘filepath‘ [OVERWRITE] INTO TABLE tablename [PARTITION (partcol1=val1, partcol2=val2 ...)] [INPUTFORMAT ‘inputformat‘ SERDE ‘serde‘] (3.0 or later)
-
1.加載數據到表中時,Hive不做任何轉換。加載操作只是把數據拷貝或移動操作,即移動數據文件到Hive表相應的位置。
-
2.加載的目標可以是一個表,也可以是一個分區。如果表是分區的,則必須通過指定所有分區列的值來指定一個表的分區。
- 3.filepath可以是一個文件,也可以是一個目錄。不管什麽情況下,filepath被認為是一個文件集合。
LOCAL:表示輸入文件在本地文件系統(Linux),如果沒有加LOCAL,hive則會去HDFS上查找該文件。
OVERWRITE:表示如果表中有數據,則先刪除數據,再插入新數據,如果沒有這個關鍵詞,則直接附加數據到表中。
PARTITION:如果表中存在分區,可以按照分區進行導入。
# 創建一張員工表 hive> create table emp > (empno int, ename string, job string, mgr int, hiredate string, salary double, comm double, deptno int) > ROW FORMAT DELIMITED > FIELDS TERMINATED BY ‘\t‘ ; OK Time taken: 0.651 seconds # 把本地文件系統中emp.txt導入表 hive> LOAD DATA LOCAL INPATH ‘/home/hadoop/emp.txt‘ OVERWRITE INTO TABLE emp; Loading data to table default.emp Table default.emp stats: [numFiles=1, numRows=0, totalSize=886, rawDataSize=0] OK Time taken: 1.848 seconds # 查看表數據 hive> select * from emp; OK 7369 SMITH CLERK 7902 1980-12-17 800.0 NULL 20 7499 ALLEN SALESMAN 7698 1981-2-20 1600.0 300.0 30 7521 WARD SALESMAN 7698 1981-2-22 1250.0 500.0 30 7566 JONES MANAGER 7839 1981-4-2 2975.0 NULL 20 7654 MARTIN SALESMAN 7698 1981-9-28 1250.0 1400.0 30 7698 BLAKE MANAGER 7839 1981-5-1 2850.0 NULL 30 7782 CLARK MANAGER 7839 1981-6-9 2450.0 NULL 10 7788 SCOTT ANALYST 7566 1987-4-19 3000.0 NULL 20 7839 KING PRESIDENT NULL 1981-11-17 5000.0 NULL 10 7844 TURNER SALESMAN 7698 1981-9-8 1500.0 0.0 30 7876 ADAMS CLERK 7788 1987-5-23 1100.0 NULL 20 7900 JAMES CLERK 7698 1981-12-3 950.0 NULL 30 7902 FORD ANALYST 7566 1981-12-3 3000.0 NULL 20 7934 MILLER CLERK 7782 1982-1-23 1300.0 NULL 10 # 不用OVERWRITE關鍵字 hive> LOAD DATA LOCAL INPATH ‘/home/hadoop/emp.txt‘ INTO TABLE emp; # 再次查看 hive> select * from emp; OK 7369 SMITH CLERK 7902 1980-12-17 800.0 NULL 20 7499 ALLEN SALESMAN 7698 1981-2-20 1600.0 300.0 30 7521 WARD SALESMAN 7698 1981-2-22 1250.0 500.0 30 7566 JONES MANAGER 7839 1981-4-2 2975.0 NULL 20 7654 MARTIN SALESMAN 7698 1981-9-28 1250.0 1400.0 30 7698 BLAKE MANAGER 7839 1981-5-1 2850.0 NULL 30 7782 CLARK MANAGER 7839 1981-6-9 2450.0 NULL 10 7788 SCOTT ANALYST 7566 1987-4-19 3000.0 NULL 20 7839 KING PRESIDENT NULL 1981-11-17 5000.0 NULL 10 7844 TURNER SALESMAN 7698 1981-9-8 1500.0 0.0 30 7876 ADAMS CLERK 7788 1987-5-23 1100.0 NULL 20 7900 JAMES CLERK 7698 1981-12-3 950.0 NULL 30 7902 FORD ANALYST 7566 1981-12-3 3000.0 NULL 20 7934 MILLER CLERK 7782 1982-1-23 1300.0 NULL 10 7369 SMITH CLERK 7902 1980-12-17 800.0 NULL 20 7499 ALLEN SALESMAN 7698 1981-2-20 1600.0 300.0 30 7521 WARD SALESMAN 7698 1981-2-22 1250.0 500.0 30 7566 JONES MANAGER 7839 1981-4-2 2975.0 NULL 20 7654 MARTIN SALESMAN 7698 1981-9-28 1250.0 1400.0 30 7698 BLAKE MANAGER 7839 1981-5-1 2850.0 NULL 30 7782 CLARK MANAGER 7839 1981-6-9 2450.0 NULL 10 7788 SCOTT ANALYST 7566 1987-4-19 3000.0 NULL 20 7839 KING PRESIDENT NULL 1981-11-17 5000.0 NULL 10 7844 TURNER SALESMAN 7698 1981-9-8 1500.0 0.0 30 7876 ADAMS CLERK 7788 1987-5-23 1100.0 NULL 20 7900 JAMES CLERK 7698 1981-12-3 950.0 NULL 30 7902 FORD ANALYST 7566 1981-12-3 3000.0 NULL 20 7934 MILLER CLERK 7782 1982-1-23 1300.0 NULL 10 Time taken: 0.137 seconds, Fetched: 28 row(s) # 再次OVERWRITE覆蓋導入 hive> LOAD DATA LOCAL INPATH ‘/home/hadoop/emp.txt‘ OVERWRITE INTO TABLE emp; # 發現數據被覆蓋了 hive> select * from emp; OK 7369 SMITH CLERK 7902 1980-12-17 800.0 NULL 20 7499 ALLEN SALESMAN 7698 1981-2-20 1600.0 300.0 30 7521 WARD SALESMAN 7698 1981-2-22 1250.0 500.0 30 7566 JONES MANAGER 7839 1981-4-2 2975.0 NULL 20 7654 MARTIN SALESMAN 7698 1981-9-28 1250.0 1400.0 30 7698 BLAKE MANAGER 7839 1981-5-1 2850.0 NULL 30 7782 CLARK MANAGER 7839 1981-6-9 2450.0 NULL 10 7788 SCOTT ANALYST 7566 1987-4-19 3000.0 NULL 20 7839 KING PRESIDENT NULL 1981-11-17 5000.0 NULL 10 7844 TURNER SALESMAN 7698 1981-9-8 1500.0 0.0 30 7876 ADAMS CLERK 7788 1987-5-23 1100.0 NULL 20 7900 JAMES CLERK 7698 1981-12-3 950.0 NULL 30 7902 FORD ANALYST 7566 1981-12-3 3000.0 NULL 20 7934 MILLER CLERK 7782 1982-1-23 1300.0 NULL 10 Time taken: 0.164 seconds, Fetched: 14 row(s)
2. insert into到表(Inserting data into Hive Tables from queries)
- 下面是官網上為我們列出的語法:
Standard syntax:
INSERT OVERWRITE TABLE tablename1 [PARTITION (partcol1=val1, partcol2=val2 ...) [IF NOT EXISTS]] select_statement1 FROM from_statement;
INSERT INTO TABLE tablename1 [PARTITION (partcol1=val1, partcol2=val2 ...)] select_statement1 FROM from_statement;
Hive extension (multiple inserts):
FROM from_statement
INSERT OVERWRITE TABLE tablename1 [PARTITION (partcol1=val1, partcol2=val2 ...) [IF NOT EXISTS]] select_statement1
[INSERT OVERWRITE TABLE tablename2 [PARTITION ... [IF NOT EXISTS]] select_statement2]
[INSERT INTO TABLE tablename2 [PARTITION ...] select_statement2] ...;
FROM from_statement
INSERT INTO TABLE tablename1 [PARTITION (partcol1=val1, partcol2=val2 ...)] select_statement1
[INSERT INTO TABLE tablename2 [PARTITION ...] select_statement2]
[INSERT OVERWRITE TABLE tablename2 [PARTITION ... [IF NOT EXISTS]] select_statement2] ...;
Hive extension (dynamic partition inserts):
INSERT OVERWRITE TABLE tablename PARTITION (partcol1[=val1], partcol2[=val2] ...) select_statement FROM from_statement;
INSERT INTO TABLE tablename PARTITION (partcol1[=val1], partcol2[=val2] ...) select_statement FROM from_statement;
官網又給我們列出一大堆語法,看著就很可怕,但是仔細整理後再來看看你會發現並沒有什麽,下面對其進行分析:
- 1 標準語法(Standard syntax):INSERT OVERWRITE TABLE tablename1 select_statement1 FROM from_statement; 其實就是一個簡單的插入語句。
- 2.可以使用PARTITION 關鍵字,進行分區插入。
- 3.OVERWRITE是否選擇覆蓋。
-
4 使用插入語法會跑mr作業。
-
5 multiple inserts:代表多行插入。
- 6 dynamic partition inserts:動態分區插入。
註:這裏有兩種插語法,也就是加上OVERWRITE關鍵字和不加的區別。
# insert overwrite
hive> insert overwrite table emp2 select * from emp;
Query ID = hadoop_20180624141010_3063d504-ff2f-4003-843f-7dca60f1dd7e
Total jobs = 3
Launching Job 1 out of 3
...
OK
Time taken: 19.554 seconds
hive> select * from emp2;
OK
7369 SMITH CLERK 7902 1980-12-17 800.0 NULL 20
7499 ALLEN SALESMAN 7698 1981-2-20 1600.0 300.0 30
7521 WARD SALESMAN 7698 1981-2-22 1250.0 500.0 30
7566 JONES MANAGER 7839 1981-4-2 2975.0 NULL 20
7654 MARTIN SALESMAN 7698 1981-9-28 1250.0 1400.0 30
7698 BLAKE MANAGER 7839 1981-5-1 2850.0 NULL 30
7782 CLARK MANAGER 7839 1981-6-9 2450.0 NULL 10
7788 SCOTT ANALYST 7566 1987-4-19 3000.0 NULL 20
7839 KING PRESIDENT NULL 1981-11-17 5000.0 NULL 10
7844 TURNER SALESMAN 7698 1981-9-8 1500.0 0.0 30
7876 ADAMS CLERK 7788 1987-5-23 1100.0 NULL 20
7900 JAMES CLERK 7698 1981-12-3 950.0 NULL 30
7902 FORD ANALYST 7566 1981-12-3 3000.0 NULL 20
7934 MILLER CLERK 7782 1982-1-23 1300.0 NULL 10
Time taken: 0.143 seconds, Fetched: 14 row(s)
# insert追加
hive> insert into table emp2 select * from emp;
Query ID = hadoop_20180624141010_3063d504-ff2f-4003-843f-7dca60f1dd7e
Total jobs = 3
...
OK
Time taken: 18.539 seconds
hive> select * from emp2;
OK
7369 SMITH CLERK 7902 1980-12-17 800.0 NULL 20
7499 ALLEN SALESMAN 7698 1981-2-20 1600.0 300.0 30
7521 WARD SALESMAN 7698 1981-2-22 1250.0 500.0 30
7566 JONES MANAGER 7839 1981-4-2 2975.0 NULL 20
7654 MARTIN SALESMAN 7698 1981-9-28 1250.0 1400.0 30
7698 BLAKE MANAGER 7839 1981-5-1 2850.0 NULL 30
7782 CLARK MANAGER 7839 1981-6-9 2450.0 NULL 10
7788 SCOTT ANALYST 7566 1987-4-19 3000.0 NULL 20
7839 KING PRESIDENT NULL 1981-11-17 5000.0 NULL 10
7844 TURNER SALESMAN 7698 1981-9-8 1500.0 0.0 30
7876 ADAMS CLERK 7788 1987-5-23 1100.0 NULL 20
7900 JAMES CLERK 7698 1981-12-3 950.0 NULL 30
7902 FORD ANALYST 7566 1981-12-3 3000.0 NULL 20
7934 MILLER CLERK 7782 1982-1-23 1300.0 NULL 10
7369 SMITH CLERK 7902 1980-12-17 800.0 NULL 20
7499 ALLEN SALESMAN 7698 1981-2-20 1600.0 300.0 30
7521 WARD SALESMAN 7698 1981-2-22 1250.0 500.0 30
7566 JONES MANAGER 7839 1981-4-2 2975.0 NULL 20
7654 MARTIN SALESMAN 7698 1981-9-28 1250.0 1400.0 30
7698 BLAKE MANAGER 7839 1981-5-1 2850.0 NULL 30
7782 CLARK MANAGER 7839 1981-6-9 2450.0 NULL 10
7788 SCOTT ANALYST 7566 1987-4-19 3000.0 NULL 20
7839 KING PRESIDENT NULL 1981-11-17 5000.0 NULL 10
7844 TURNER SALESMAN 7698 1981-9-8 1500.0 0.0 30
7876 ADAMS CLERK 7788 1987-5-23 1100.0 NULL 20
7900 JAMES CLERK 7698 1981-12-3 950.0 NULL 30
7902 FORD ANALYST 7566 1981-12-3 3000.0 NULL 20
7934 MILLER CLERK 7782 1982-1-23 1300.0 NULL 10
Time taken: 0.132 seconds, Fetched: 28 row(s)
- Inserting values into tables(手動插入一條或多條記錄,會跑mr作業 不常用)
- 官方用法:
INSERT INTO TABLE tablename [PARTITION (partcol1[=val1], partcol2[=val2] ...)] VALUES values_row [, values_row ...]
hive> create table stu(
> id int,
> name string
> )
> ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘\t‘;
OK
Time taken: 0.253 seconds
hive> insert into table stu values (1,"zhangsan");
Query ID = hadoop_20180624141010_3063d504-ff2f-4003-843f-7dca60f1dd7e
Total jobs = 3
...
OK
Time taken: 16.589 seconds
hive> select * from stu;
OK
1 zhangsan
Time taken: 0.123 seconds, Fetched: 1 row(s)
3. 數據導出(Writing data into the filesystem from queries)
查詢結果可以通過語句插入文件系統中:
- 下面是官網上為我們列出的語法:
Standard syntax:(標準語法) INSERT OVERWRITE [LOCAL] DIRECTORY directory1 [ROW FORMAT row_format] [STORED AS file_format] (Note: Only available starting with Hive 0.11.0) SELECT ... FROM ...
Hive extension (multiple inserts):(導出多條記錄)
FROM from_statement
INSERT OVERWRITE [LOCAL] DIRECTORY directory1 select_statement1
[INSERT OVERWRITE [LOCAL] DIRECTORY directory2 select_statement2] ...
row_format
: DELIMITED [FIELDS TERMINATED BY char [ESCAPED BY char]] [COLLECTION ITEMS TERMINATED BY char]
[MAP KEYS TERMINATED BY char] [LINES TERMINATED BY char]
[NULL DEFINED AS char] (Note: Only available starting with Hive 0.13)
**LOCAL**:加上LOCAL關鍵字代表導入本地系統,不加默認導入HDFS;
**STORED AS**:可以指定存儲格式。
```shell
hive> insert overwrite local directory ‘/home/hadoop/stu‘ ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘\t‘ select * from stu;
Query ID = hadoop_20180624153131_97271014-abcf-4e70-b318-7de85d27c97f
Total jobs = 1
...
OK
Time taken: 15.09 seconds
# 結果
[hadoop@hadoop000 stu]$ pwd
/home/hadoop/stu
[hadoop@hadoop000 stu]$ cat 000000_0
1 zhangsan
# 導出多條記錄
hive> from emp
> INSERT OVERWRITE LOCAL DIRECTORY ‘/home/hadoop/tmp/hivetmp1‘
> ROW FORMAT DELIMITED FIELDS TERMINATED BY "\t"
> select empno, ename
> INSERT OVERWRITE LOCAL DIRECTORY ‘/home/hadoop/tmp/hivetmp2‘
> ROW FORMAT DELIMITED FIELDS TERMINATED BY "\t"
> select ename;
Query ID = hadoop_20180624153131_97271014-abcf-4e70-b318-7de85d27c97f
Total jobs = 1
...
OK
Time taken: 16.261 seconds
# 結果
[hadoop@hadoop000 tmp]$ cd hivetmp1
[hadoop@hadoop000 hivetmp1]$ ll
total 4
-rw-r--r-- 1 hadoop hadoop 154 Jun 24 15:39 000000_0
[hadoop@hadoop000 hivetmp1]$ cat 000000_0
7369 SMITH
7499 ALLEN
7521 WARD
7566 JONES
7654 MARTIN
7698 BLAKE
7782 CLARK
7788 SCOTT
7839 KING
7844 TURNER
7876 ADAMS
7900 JAMES
7902 FORD
7934 MILLER
[hadoop@hadoop000 hivetmp1]$ cd ..
[hadoop@hadoop000 tmp]$ cd hivetmp2
[hadoop@hadoop000 hivetmp2]$ cat 000000_0
SMITH
ALLEN
WARD
JONES
MARTIN
BLAKE
CLARK
SCOTT
KING
TURNER
ADAMS
JAMES
FORD
MILLER
參考: https://blog.csdn.net/yu0_zhang0/article/details/79007784
Hive基礎sql語法(DML)