問題分析：

hive中分割槽表其底層就是HDFS中的多個目錄下的單個檔案，hive匯出資料本質是將HDFS中的檔案匯出

hive中的分割槽表，因為分割槽欄位（靜態分割槽）不在檔案中，所以在sqoop匯出的時候，無法將分割槽欄位進行直接匯出

思路：在hive中建立一個臨時表，將分割槽表複製過去後分割槽欄位轉換為普通欄位，然後再用sqoop將tmp表匯出即實現需求

步湊如下：

文章目錄

1.建立目標表（分割槽表）

1.1查看錶結構

2.匯入資料

3.查詢表dept_partition

4.建立臨時表 tmp_dept_partition

5.查詢臨時表

6.查看錶結構(這個時候分割槽表已經轉換為非分割槽表了)

7.MySQL中建表 dept_partition

8.使用sqoop匯入到MySQL

8.Mysql查詢驗證是否成功匯出

1.建立目標表（分割槽表）

hive> CREATE TABLE `dept_partition`(

`deptno` int,

`dname` string,

`loc` string)

PARTITIONED BY (`month` string) row format delimited fields terminated by "\t";

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1.1查看錶結構

hive> show create table dept_partition;

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+----------------------------------------------------+--+

| createtab_stmt |

+----------------------------------------------------+--+

| CREATE TABLE `dept_partition`( |

| `deptno` int, |

| `dname` string, |

| `loc` string) |

| PARTITIONED BY ( |

| `month` string)

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2.匯入資料

hive> load data inpath "/user/hive/hive_db/data/dept.txt" into table dept_partition;

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10 ACCOUNTING 1700

20 RESEARCH 1800

30 SALES 1900

40 OPERATIONS 1700

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3.查詢表dept_partition

hive> select * from dept_partition;

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+------------------------+-----------------------+---------------------+-----------------------+--+

| dept_partition.deptno | dept_partition.dname | dept_partition.loc | dept_partition.month |

+------------------------+-----------------------+---------------------+-----------------------+--+

| 10 | ACCOUNTING | 1700 | 2019-10-19 |

| 20 | RESEARCH | 1800 | 2019-10-19 |

| 30 | SALES | 1900 | 2019-10-19 |

| 40 | OPERATIONS | 1700 | 2019-10-19 |

| 10 | ACCOUNTING | 1700 | 2019-10-20 |

| 20 | RESEARCH | 1800 | 2019-10-20 |

| 30 | SALES | 1900 | 2019-10-20 |

| 40 | OPERATIONS | 1700 | 2019-10-20 |

+------------------------+-----------------------+---------------------+-----------------------+--+

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4.建立臨時表 tmp_dept_partition

hive> create table tmp_dept_partition as select * from dept_partition;

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5.查詢臨時表

hive> select * from tmp_dept_partition;

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+----------------------------+---------------------------+-------------------------+---------------------------+--+

| tmp_dept_partition.deptno | tmp_dept_partition.dname | tmp_dept_partition.loc | tmp_dept_partition.month |

+----------------------------+---------------------------+-------------------------+---------------------------+--+

| 10 | ACCOUNTING | 1700 | 2019-10-19 |

| 20 | RESEARCH | 1800 | 2019-10-19 |

| 30 | SALES | 1900 | 2019-10-19 |

| 40 | OPERATIONS | 1700 | 2019-10-19 |

| 10 | ACCOUNTING | 1700 | 2019-10-20 |

| 20 | RESEARCH | 1800 | 2019-10-20 |

| 30 | SALES | 1900 | 2019-10-20 |

| 40 | OPERATIONS | 1700 | 2019-10-20 |

+----------------------------+---------------------------+-------------------------+---------------------------+--+

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6.查看錶結構(這個時候分割槽表已經轉換為非分割槽表了)

hive> show create table tmp_dept_partition;

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+----------------------------------------------------+--+

| createtab_stmt |

+----------------------------------------------------+--+

| CREATE TABLE `tmp_dept_partition`( |

| `deptno` int, |

| `dname` string, |

| `loc` string, |

| `month` string)

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7.MySQL中建表 dept_partition

mysql> drop table if exists dept_partition;

create table dept_partition(

`deptno` int,

`dname` varchar(20),

`loc` varchar(20),

`month` varchar(50))

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8.使用sqoop匯入到MySQL

bin/sqoop export \

--connect jdbc:mysql://hadoop01:3306/partitionTb \

--username root \

--password 123456 \

--table dept_partition \

--num-mappers 1 \

--export-dir /user/hive/warehouse/hive_db.db/tmp_dept_partition \

--input-fields-terminated-by "\001"

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8.Mysql查詢驗證是否成功匯出

mysql> select * from dept_partition;

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+--------+------------+------+------------+

| deptno | dname | loc | month |

+--------+------------+------+------------+

| 10 | ACCOUNTING | 1700 | 2019-10-19 |

| 20 | RESEARCH | 1800 | 2019-10-19 |

| 30 | SALES | 1900 | 2019-10-19 |

| 40 | OPERATIONS | 1700 | 2019-10-19 |

| 10 | ACCOUNTING | 1700 | 2019-10-20 |

| 20 | RESEARCH | 1800 | 2019-10-20 |

| 30 | SALES | 1900 | 2019-10-20 |

| 40 | OPERATIONS | 1700 | 2019-10-20 |

+---