External Disks for Storing Data
Data, processed in ClickHouse, is usually stored in the local file system — on the same machine with the ClickHouse server. That requires large-capacity disks, which can be expensive enough. To avoid that you can store the data remotely — on Amazon S3 disks or in the Hadoop Distributed File System (HDFS).
To work with data stored on Amazon S3
disks use S3 table engine, and to work with data in the Hadoop Distributed File System — HDFS table engine.
Zero-copy Replication
ClickHouse supports zero-copy replication for S3
and HDFS
disks, which means that if the data is stored remotely on several machines and needs to be synchronized, then only the metadata is replicated (paths to the data parts), but not the data itself.
Configuring HDFS
MergeTree and Log family table engines can store data to HDFS using a disk with type HDFS
.
Configuration markup:
<yandex>
<storage_configuration>
<disks>
<hdfs>
<type>hdfs</type>
<endpoint>hdfs://hdfs1:9000/clickhouse/</endpoint>
</hdfs>
</disks>
<policies>
<hdfs>
<volumes>
<main>
<disk>hdfs</disk>
</main>
</volumes>
</hdfs>
</policies>
</storage_configuration>
<merge_tree>
<min_bytes_for_wide_part>0</min_bytes_for_wide_part>
</merge_tree>
</yandex>
Required parameters:
endpoint
— HDFS endpoint URL inpath
format. Endpoint URL should contain a root path to store data.
Optional parameters:
min_bytes_for_seek
— The minimal number of bytes to use seek operation instead of sequential read. Default value:1 Mb
.
Using Virtual File System for Data Encryption
You can encrypt the data stored on S3, or HDFS external disks, or on a local disk. To turn on the encryption mode, in the configuration file you must define a disk with the type encrypted
and choose a disk on which the data will be saved. An encrypted
disk ciphers all written files on the fly, and when you read files from an encrypted
disk it deciphers them automatically. So you can work with an encrypted
disk like with a normal one.
Example of disk configuration:
<disks>
<disk1>
<type>local</type>
<path>/path1/</path>
</disk1>
<disk2>
<type>encrypted</type>
<disk>disk1</disk>
<path>path2/</path>
<key>_16_ascii_chars_</key>
</disk2>
</disks>
For example, when ClickHouse writes data from some table to a file store/all_1_1_0/data.bin
to disk1
, then in fact this file will be written to the physical disk along the path /path1/store/all_1_1_0/data.bin
.
When writing the same file to disk2
, it will actually be written to the physical disk at the path /path1/path2/store/all_1_1_0/data.bin
in encrypted mode.
Required parameters:
type
—encrypted
. Otherwise the encrypted disk is not created.disk
— Type of disk for data storage.key
— The key for encryption and decryption. Type: Uint64. You can usekey_hex
parameter to encrypt in hexadecimal form.
You can specify multiple keys using theid
attribute (see example above).
Optional parameters:
path
— Path to the location on the disk where the data will be saved. If not specified, the data will be saved in the root directory.current_key_id
— The key used for encryption. All the specified keys can be used for decryption, and you can always switch to another key while maintaining access to previously encrypted data.algorithm
— Algorithm for encryption. Possible values:AES_128_CTR
,AES_192_CTR
orAES_256_CTR
. Default value:AES_128_CTR
. The key length depends on the algorithm:AES_128_CTR
— 16 bytes,AES_192_CTR
— 24 bytes,AES_256_CTR
— 32 bytes.
Example of disk configuration:
<yandex>
<storage_configuration>
<disks>
<disk_s3>
<type>s3</type>
<endpoint>...
</disk_s3>
<disk_s3_encrypted>
<type>encrypted</type>
<disk>disk_s3</disk>
<algorithm>AES_128_CTR</algorithm>
<key_hex id="0">00112233445566778899aabbccddeeff</key_hex>
<key_hex id="1">ffeeddccbbaa99887766554433221100</key_hex>
<current_key_id>1</current_key_id>
</disk_s3_encrypted>
</disks>
</storage_configuration>
</yandex>