LOAD DATA

描述

LOAD DATA 语句将数据从用户指定的目录或文件加载到 Hive serde 表中。 如果指定了目录,则会加载目录中的所有文件。 如果指定了文件,则仅加载单个文件。 此外,LOAD DATA 语句采用可选的分区规范。 当指定分区时,数据文件(当输入源是目录时)或单个文件(当输入源是文件时)将加载到目标表的分区中。

如果表被缓存,该命令会清除该表及其所有引用它的依赖项的缓存数据。 下次访问该表或依赖项时,缓存将被延迟填充。

语法

LOAD DATA [ LOCAL ] INPATH path [ OVERWRITE ] INTO TABLE table_identifier [ partition_spec ]

参数

示例

-- Example without partition specification.
-- Assuming the students table has already been created and populated.
SELECT * FROM students;
+---------+----------------------+----------+
|     name|               address|student_id|
+---------+----------------------+----------+
|Amy Smith|123 Park Ave, San Jose|    111111|
+---------+----------------------+----------+

CREATE TABLE test_load (name VARCHAR(64), address VARCHAR(64), student_id INT) USING HIVE;

-- Assuming the students table is in '/user/hive/warehouse/'
LOAD DATA LOCAL INPATH '/user/hive/warehouse/students' OVERWRITE INTO TABLE test_load;

SELECT * FROM test_load;
+---------+----------------------+----------+
|     name|               address|student_id|
+---------+----------------------+----------+
|Amy Smith|123 Park Ave, San Jose|    111111|
+---------+----------------------+----------+

-- Example with partition specification.
CREATE TABLE test_partition (c1 INT, c2 INT, c3 INT) PARTITIONED BY (c2, c3);

INSERT INTO test_partition PARTITION (c2 = 2, c3 = 3) VALUES (1);

INSERT INTO test_partition PARTITION (c2 = 5, c3 = 6) VALUES (4);

INSERT INTO test_partition PARTITION (c2 = 8, c3 = 9) VALUES (7);

SELECT * FROM test_partition;
+---+---+---+
| c1| c2| c3|
+---+---+---+
|  1|  2|  3|
|  4|  5|  6|
|  7|  8|  9|
+---+---+---+

CREATE TABLE test_load_partition (c1 INT, c2 INT, c3 INT) USING HIVE PARTITIONED BY (c2, c3);

-- Assuming the test_partition table is in '/user/hive/warehouse/'
LOAD DATA LOCAL INPATH '/user/hive/warehouse/test_partition/c2=2/c3=3'
    OVERWRITE INTO TABLE test_load_partition PARTITION (c2=2, c3=3);

SELECT * FROM test_load_partition;
+---+---+---+
| c1| c2| c3|
+---+---+---+
|  1|  2|  3|
+---+---+---+