---

{ “title”: “HDFS | Data Source”, “language”: “en”, “description”: “Doris provides two ways to load files from HDFS:”, “sidebar_label”: “HDFS” }

HDFS

Doris provides two ways to load files from HDFS:

• Use HDFS Load to load HDFS files into Doris, which is an asynchronous load method.
• Use TVF to load HDFS files into Doris, which is a synchronous load method.

load with HDFS Load

Use HDFS Load to import files on HDFS. For detailed steps, please refer to the Broker Load Manual

Step 1: Prepare the data

Create a CSV file hdfsload_example.csv The file is stored on HDFS and its content is as follows:

1,Emily,25
2,Benjamin,35
3,Olivia,28
4,Alexander,60
5,Ava,17
6,William,69
7,Sophia,32
8,James,64
9,Emma,37
10,Liam,64

Step 2: Create a table in Doris

CREATE TABLE test_hdfsload(
    user_id            BIGINT       NOT NULL COMMENT "user id",
    name               VARCHAR(20)           COMMENT "name",
    age                INT                   COMMENT "age"
)
DUPLICATE KEY(user_id)
DISTRIBUTED BY HASH(user_id) BUCKETS 10;

Step 3: Load data using HDFS Load

LOAD LABEL hdfs_load_2022_04_01
(
    DATA INFILE("hdfs://127.0.0.1:8020/tmp/hdfsload_example.csv")
    INTO TABLE test_hdfsload
    COLUMNS TERMINATED BY ","
    FORMAT AS "CSV"
    (user_id, name, age)
)
with HDFS
(
    "fs.defaultFS" = "hdfs://127.0.0.1:8020",
    "hadoop.username" = "user"
)
PROPERTIES
(
    "timeout" = "3600"
);

Step 4: Check the imported data

SELECT * FROM test_hdfsload;

Results:

mysql> select * from test_hdfsload;
+---------+-----------+------+
| user_id | name      | age  |
+---------+-----------+------+
|       5 | Ava       |   17 |
|      10 | Liam      |   64 |
|       7 | Sophia    |   32 |
|       9 | Emma      |   37 |
|       1 | Emily     |   25 |
|       4 | Alexander |   60 |
|       2 | Benjamin  |   35 |
|       3 | Olivia    |   28 |
|       6 | William   |   69 |
|       8 | James     |   64 |
+---------+-----------+------+
10 rows in set (0.04 sec)

Load with TVF

Step 1: Prepare the data

Create a CSV file hdfsload_example.csv The file is stored on HDFS and its content is as follows:

1,Emily,25
2,Benjamin,35
3,Olivia,28
4,Alexander,60
5,Ava,17
6,William,69
7,Sophia,32
8,James,64
9,Emma,37
10,Liam,64

Step 2: Create a table in Doris

CREATE TABLE test_hdfsload(
    user_id            BIGINT       NOT NULL COMMENT "user id",
    name               VARCHAR(20)           COMMENT "name",
    age                INT                   COMMENT "age"
)
DUPLICATE KEY(user_id)
DISTRIBUTED BY HASH(user_id) BUCKETS 10;

Step 3: Load data using TVF

INSERT INTO test_hdfsload
SELECT * FROM hdfs (
    "uri" = "hdfs://127.0.0.1:8020/tmp/hdfsload_example.csv",
    "fs.defaultFS" = "hdfs://127.0.0.1:8020",
    "hadoop.username" = "doris",
    "format" = "csv",
    "csv_schema" = "user_id:int;name:string;age:int"
);

Step 4: Check the imported data

SELECT * FROM test_hdfsload;

Results:

mysql> select * from test_hdfsload;
+---------+-----------+------+
| user_id | name      | age  |
+---------+-----------+------+
|       5 | Ava       |   17 |
|      10 | Liam      |   64 |
|       7 | Sophia    |   32 |
|       9 | Emma      |   37 |
|       1 | Emily     |   25 |
|       4 | Alexander |   60 |
|       2 | Benjamin  |   35 |
|       3 | Olivia    |   28 |
|       6 | William   |   69 |
|       8 | James     |   64 |
+---------+-----------+------+
10 rows in set (0.04 sec)