---
title: "Migrate data using Object Storage"
slug: "hadoop-chadoop-use-ex6"
tags: ["Cloud Hadoop", "Object Storage"]
updated: 2026-09-17T09:18:17Z
published: 2026-09-17T09:18:17Z
canonical: "guide.ncloud-docs.com/hadoop-chadoop-use-ex6"
stale: true
---

> ## Documentation Index
> Fetch the complete documentation index at: https://guide.ncloud-docs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Migrate data using Object Storage

Available in Classic

The Cloud Hadoop of the NAVER Cloud Platform configures the Hadoop Distributed File System (HDFS) in the Block Storage and uses it as the default storage, while supporting integration with Object Storage. Since Object Storage provides the public DNS, data can be easily stored and downloaded from any environment where Internet connection is available. Its advantage is being able to migrate large-volume data that needs to be analyzed to NAVER Cloud Platform using Object Storage outside of the NAVER Cloud Platform.

The guide describes how to migrate external source data to Object Storage of the NAVER Cloud Platform as well as how to migrate it from Object Storage to Cloud Hadoop HDFS as illustrated above.

## Preliminary tasks

Create a bucket to store data in **Object Storage**.

              Note

              

For more information on creating buckets, see [Object Storage user guide](/docs/en/storage-storage-6-1)

## Migrate data from outside to Object Storage

Because Object Storage of the NAVER Cloud Platform is compatible with AWS S3, you can use AWS CLI without changes. For more information, see [Object Storage CLI user guide](https://cli.ncloud-docs.com/docs/en/guide-objectstorage).

              Note

              

For more information on AWS CLI, see [awscli](https://pypi.org/project/awscli/1.15.85/).

### 1. Prepare sample data

Use the following command to download the [sample data](https://cdn.document360.io/6998976f-9d95-4df8-b847-d375892b92c2/Images/Documentation/lahman591-csv.zip?sv=2026-02-06&spr=https&st=2026-10-27T16%3A51%3A43Z&se=2026-10-27T17%3A51%3A43Z&sr=c&sp=r&sig=nE16rrX%2Biw6MQ5PWVMR4zp6U3b5wDiE31Mh9tbfwDxA%3D) for testing data migration from outside to Object Storage.

- In this guide, data migration is performed using `AllstarFull.csv` file of the sample data.

              Note

              

The provided sample data is a portion of [Lahman's Baseball Database 2012](http://www.seanlahman.com/) version, and all copyrights of the data belong to Sean Lahman.

### 2. Install AWS CLI

After connecting to an edge node via SSH, install AWS CLI using the `pip install` command.

```
[sshuser@e-001-hadoop-example-hd ~]$ sudo pip install awscli==1.15.85
DEPRECATION: Python 3.4 support has been deprecated. pip 19.1 will be the last one supporting it. Please upgrade your Python as Python 3.4 won't be maintained after March 2019 (cf PEP 429).
Collecting awscli==1.15.85
Downloading https://files.pythonhosted.org/packages/2a/2a/e5ae9191c388db103bc197a444260c8fd4f4f44a8183eb922cd5ebf183cf/awscli-1.15.85-py2.py3-none-any.whl (1.3MB)
100% |████████████████████████████████| 1.3MB 12.6MB/s
Collecting PyYAML<=3.13,>=3.10 (from awscli==1.15.85)
Downloading https://files.pythonhosted.org/packages/9e/a3/1d13970c3f36777c583f136c136f804d70f500168edc1edea6daa7200769/PyYAML-3.13.tar.gz (270kB)
100% |████████████████████████████████| 276kB 26.3MB/s
Collecting s3transfer<0.2.0,>=0.1.12 (from awscli==1.15.85)
Downloading https://files.pythonhosted.org/packages/d7/14/2a0004d487464d120c9fb85313a75cd3d71a7506955be458eebfe19a6b1d/s3transfer-0.1.13-py2.py3-none-any.whl (59kB)
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Collecting docutils>=0.10 (from awscli==1.15.85)
Downloading https://files.pythonhosted.org/packages/22/cd/a6aa959dca619918ccb55023b4cb151949c64d4d5d55b3f4ffd7eee0c6e8/docutils-0.15.2-py3-none-any.whl (547kB)
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Requirement already satisfied: six>=1.5 in /usr/lib/python3.4/site-packages (from python-dateutil<3.0.0,>=2.1; python_version >= "2.7"->botocore==1.10.84->awscli==1.15.85) (1.15.0)
Installing collected packages: PyYAML, jmespath, python-dateutil, docutils, botocore, s3transfer, pyasn1, rsa, colorama, awscli
Running setup.py install for PyYAML ... done
Successfully installed PyYAML-3.13 awscli-1.15.85 botocore-1.10.84 colorama-0.3.9 docutils-0.15.2 jmespath-0.10.0 pyasn1-0.4.8 python-dateutil-2.8.1 rsa-3.4.2 s3transfer-0.1.13
```

### 3. Check authentication key information

To access an existing Object Storage bucket, an API authentication key of NAVER Cloud Platform is required.

- For information on issuing and verifying an API authentication key, see the [API guide](https://api.ncloud-docs.com/docs/en/common-ncpapi).

### 4. Configure environment

Use the following command to configure the environmental requirements, and enter Object Storage endpoint address to check.

- Example bucket name: `example`

```
[sshuser@e-001-hadoop-example-hd ~]$ sudo aws configure
AWS Access Key ID [None]: ACCESS_KEY_ID
AWS Secret Access Key [None]: SECRET_KEY
Default region name [None]:
Default output format [None]:
```

- Check the created bucket with `example`

```
[sshuser@e-001-hadoop-example-hd ~]$ sudo aws --endpoint-url=https://kr.object.ncloudstorage.com s3 ls
2020-11-25 08:53:42 example
```

### 5. Upload data

Upload data to Object Storage using the `cp` command of AWS CLI, and check if it is uploaded successfully.

```
[sshuser@e-001-hadoop-example-hd ~]$ sudo aws --endpoint-url=https://kr.object.ncloudstorage.com s3 cp AllstarFull.csv s3://example/
upload: ./AllstarFull.csv to s3://example/AllstarFull.csv

[sshuser@e-001-hadoop-example-hd ~]$ sudo aws --endpoint-url=https://kr.object.ncloudstorage.com s3 ls s3://example/
2020-11-25 09:37:50 1708674492 AllstarFull.csv
```

              Note

              

s3://[YOUR-BUCKET-NAME]/

## Migrate data from Object Storage to Cloud Hadoop HDFS

You can move the migrated data in Object Storage to Cloud Hadoop HDFS.

### 1. Connect to Cloud Hadoop edge node

Access the edge node of the Cloud Hadoop cluster you want to work with. For more information on how to access the edge node, see [Connect to a cluster node through SSH](/docs/en/hadoop-chadoop-3-2) guide.

### 2. Verify access

Use the following command to check if the edge node can access Object Storage bucket.

```
[sshuser@e-001-hadoop-example-hd ~]# hadoop fs -ls hdfs://hadoop-example/
Found 12 items
drwxrwxrwx - yarn hadoop 0 2020-11-25 10:17 hdfs://hadoop-example/app-logs
drwxr-xr-x - hdfs hdfs 0 2020-11-25 10:16 hdfs://hadoop-example/apps
drwxr-xr-x - yarn hadoop 0 2020-11-25 10:15 hdfs://hadoop-example/ats
drwxr-xr-x - hdfs hdfs 0 2020-11-25 10:15 hdfs://hadoop-example/hdp
drwx------ - livy hdfs 0 2020-11-25 10:15 hdfs://hadoop-example/livy-recovery
drwx------ - livy hdfs 0 2020-11-25 10:16 hdfs://hadoop-example/livy2-recovery
drwxr-xr-x - mapred hdfs 0 2020-11-25 10:15 hdfs://hadoop-example/mapred
drwxrwxrwx - mapred hadoop 0 2020-11-25 10:15 hdfs://hadoop-example/mr-history
drwxrwxrwx - spark hadoop 0 2020-11-25 10:20 hdfs://hadoop-example/spark-history
drwxrwxrwx - spark hadoop 0 2020-11-25 10:20 hdfs://hadoop-example/spark2-history
drwxrwxrwx - hdfs hdfs 0 2020-11-25 10:16 hdfs://hadoop-example/tmp
drwxr-xr-x - hdfs hdfs 0 2020-11-25 10:16 hdfs://hadoop-example/user

[sshuser@e-001-hadoop-example-hd ~]# hadoop fs -mkdir hdfs://hadoop-example/sampledata/

[sshuser@e-001-hadoop-example-hd ~]# hadoop fs -ls s3a://example/
```

              Note

              

hadoop fs -ls hdfs://[YOUR-CLUSTER-NAME]/ hadoop fs -ls s3a://[YOUR-BUCKET-NAME]/

### 3. Migrate data

Use `distcp`, the command for copying large-volume files in Hadoop, to migrate data, and then check if the files were migrated successfully.

```
[sshuser@e-001-hadoop-example-hd ~]$ hadoop distcp -m 10 -bandwidth 100 s3a://example/* hdfs://hadoop-example/sampledata/
20/11/25 10:30:14 INFO tools.DistCp: Input Options: DistCpOptions{atomicCommit=false, syncFolder=false, deleteMissing=false, ignoreFailures=false, overwrite=false, append=false, useDiff=false, fromSnapshot=null, toSnapshot=null, skipCRC=false, blocking=true, numListstatusThreads=0, maxMaps=10, mapBandwidth=100, sslConfigurationFile='null', copyStrategy='uniformsize', preserveStatus=[], preserveRawXattrs=false, atomicWorkPath=null, logPath=null, sourceFileListing=null, sourcePaths=[s3a://example/*], targetPath=hdfs://hadoop-example/sampledata, targetPathExists=true, filtersFile='null', verboseLog=false}
20/11/25 10:30:15 INFO client.AHSProxy: Connecting to Application History server at m-002-hadoop-example-hd/10.41.73.166:10200
20/11/25 10:30:16 INFO tools.SimpleCopyListing: Paths (files+dirs) cnt = 1; dirCnt = 0
20/11/25 10:30:16 INFO tools.SimpleCopyListing: Build file listing completed.
20/11/25 10:30:16 INFO tools.DistCp: Number of paths in the copy list: 1
20/11/25 10:30:16 INFO tools.DistCp: Number of paths in the copy list: 1
20/11/25 10:30:16 INFO client.AHSProxy: Connecting to Application History server at m-002-hadoop-example-hd/10.41.73.166:10200
20/11/25 10:30:17 INFO client.RequestHedgingRMFailoverProxyProvider: Looking for the active RM in [rm1, rm2]...
20/11/25 10:30:17 INFO client.RequestHedgingRMFailoverProxyProvider: Found active RM [rm2]
20/11/25 10:30:17 INFO mapreduce.JobSubmitter: number of splits:1
20/11/25 10:30:17 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1606266944151_0003
20/11/25 10:30:18 INFO impl.YarnClientImpl: Submitted application application_1606266944151_0003
20/11/25 10:30:18 INFO mapreduce.Job: The url to track the job: http://m-002-hadoop-example-hd:8088/proxy/application_1606266944151_0003/
20/11/25 10:30:18 INFO tools.DistCp: DistCp job-id: job_1606266944151_0003
20/11/25 10:30:18 INFO mapreduce.Job: Running job: job_1606266944151_0003
20/11/25 10:30:26 INFO mapreduce.Job: Job job_1606266944151_0003 running in uber mode : false
20/11/25 10:30:26 INFO mapreduce.Job: map 0% reduce 0%
20/11/25 10:30:39 INFO mapreduce.Job: map 100% reduce 0%
20/11/25 10:33:13 INFO mapreduce.Job: Job job_1606266944151_0003 completed successfully
20/11/25 10:33:13 INFO mapreduce.Job: Counters: 38
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=158446
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=394
HDFS: Number of bytes written=1708674492
HDFS: Number of read operations=13
HDFS: Number of large read operations=0
HDFS: Number of write operations=4
S3A: Number of bytes read=1708674492
S3A: Number of bytes written=0
S3A: Number of read operations=3
S3A: Number of large read operations=0
S3A: Number of write operations=0
Job Counters
Launched map tasks=1
Other local map tasks=1
Total time spent by all maps in occupied slots (ms)=328500
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=164250
Total vcore-milliseconds taken by all map tasks=164250
Total megabyte-milliseconds taken by all map tasks=168192000
Map-Reduce Framework
Map input records=1
Map output records=0
Input split bytes=138
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=392
CPU time spent (ms)=27370
Physical memory (bytes) snapshot=231428096
Virtual memory (bytes) snapshot=2531233792
Total committed heap usage (bytes)=150994944
File Input Format Counters
Bytes Read=256
File Output Format Counters
Bytes Written=0
org.apache.hadoop.tools.mapred.CopyMapper$Counter
BYTESCOPIED=1708674492
BYTESEXPECTED=1708674492
COPY=1

[sshuser@e-001-hadoop-example-hd ~]$ hadoop fs -ls hdfs://hadoop-example/sampledata/
Found 1 items
-rw-r--r-- 2 sshuser hdfs 1708674492 2020-11-25 10:33 hdfs://hadoop-example/sampledata/AllstarFull.csv
```

              Note

              

- Syntax format: `hadoop distcp -m 10 -bandwidth 100 s3a://[YOUR-BUCKET-NAME]/* hdfs://[YOUR-CLUSTER-NAME]/sampledata/`

              Note

              

If you want to copy a single file, you can migrate data using the `hadoop put` command.