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checkpoint-storage


Checkpoint Storage

Introduction

Checkpoint is a fault-tolerant recovery mechanism. This mechanism ensures that when the program is running, it can recover itself even if it suddenly encounters an exception.

Checkpoint Storage

Checkpoint Storage is a storage mechanism for storing checkpoint data.

SeaTunnel Engine supports the following checkpoint storage types:

  • HDFS (OSS,S3,HDFS,LocalFile)
  • LocalFile (native), (it's deprecated: use Hdfs(LocalFile) instead.

We used the microkernel design pattern to separate the checkpoint storage module from the engine. This allows users to implement their own checkpoint storage modules.

checkpoint-storage-api is the checkpoint storage module API, which defines the interface of the checkpoint storage module.

if you want to implement your own checkpoint storage module, you need to implement the CheckpointStorage and provide the corresponding CheckpointStorageFactory implementation.

Checkpoint Storage Configuration

The configuration of the seatunnel-server module is in the seatunnel.yaml file.


seatunnel:
engine:
checkpoint:
storage:
type: hdfs #plugin name of checkpoint storage, we support hdfs(S3, local, hdfs), localfile (native local file) is the default, but this plugin is de
# plugin configuration
plugin-config:
namespace: #checkpoint storage parent path, the default value is /seatunnel/checkpoint/
K1: V1 # plugin other configuration
K2: V2 # plugin other configuration

Notice: namespace must end with "/".

OSS

Aliyun oss base on hdfs-file, so you can refer hadoop oss docs to config oss.

Except when interacting with oss buckets, the oss client needs the credentials needed to interact with buckets. The client supports multiple authentication mechanisms and can be configured as to which mechanisms to use, and their order of use. Custom implementations of org.apache.hadoop.fs.aliyun.oss.AliyunCredentialsProvider may also be used. if you used AliyunCredentialsProvider (can be obtained from the Aliyun Access Key Management), these consist of an access key, a secret key. you can config like this:

seatunnel:
engine:
checkpoint:
interval: 6000
timeout: 7000
storage:
type: hdfs
max-retained: 3
plugin-config:
storage.type: oss
oss.bucket: your-bucket
fs.oss.accessKeyId: your-access-key
fs.oss.accessKeySecret: your-secret-key
fs.oss.endpoint: endpoint address
fs.oss.credentials.provider: org.apache.hadoop.fs.aliyun.oss.AliyunCredentialsProvider

For additional reading on the Hadoop Credential Provider API see: Credential Provider API.

Aliyun oss Credential Provider implements see: Auth Credential Providers

S3

S3 base on hdfs-file, so you can refer hadoop s3 docs to config s3.

Except when interacting with public S3 buckets, the S3A client needs the credentials needed to interact with buckets. The client supports multiple authentication mechanisms and can be configured as to which mechanisms to use, and their order of use. Custom implementations of com.amazonaws.auth.AWSCredentialsProvider may also be used. if you used SimpleAWSCredentialsProvider (can be obtained from the Amazon Security Token Service), these consist of an access key, a secret key. you can config like this:

``` yaml

seatunnel:
engine:
checkpoint:
interval: 6000
timeout: 7000
storage:
type: hdfs
max-retained: 3
plugin-config:
storage.type: s3
s3.bucket: your-bucket
fs.s3a.access.key: your-access-key
fs.s3a.secret.key: your-secret-key
fs.s3a.aws.credentials.provider: org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider


if you used InstanceProfileCredentialsProvider, this supports use of instance profile credentials if running in an EC2 VM, you could check iam-roles-for-amazon-ec2. you can config like this:


seatunnel:
engine:
checkpoint:
interval: 6000
timeout: 7000
storage:
type: hdfs
max-retained: 3
plugin-config:
storage.type: s3
s3.bucket: your-bucket
fs.s3a.endpoint: your-endpoint
fs.s3a.aws.credentials.provider: org.apache.hadoop.fs.s3a.InstanceProfileCredentialsProvider

For additional reading on the Hadoop Credential Provider API see: Credential Provider API.

HDFS

if you used HDFS, you can config like this:

seatunnel:
engine:
checkpoint:
storage:
type: hdfs
max-retained: 3
plugin-config:
storage.type: hdfs
fs.defaultFS: hdfs://localhost:9000
// if you used kerberos, you can config like this:
kerberosPrincipal: your-kerberos-principal
kerberosKeytabFilePath: your-kerberos-keytab

if HDFS is in HA mode , you can config like this:

seatunnel:
engine:
checkpoint:
storage:
type: hdfs
max-retained: 3
plugin-config:
storage.type: hdfs
fs.defaultFS: hdfs://usdp-bing
seatunnel.hadoop.dfs.nameservices: usdp-bing
seatunnel.hadoop.dfs.ha.namenodes.usdp-bing: nn1,nn2
seatunnel.hadoop.dfs.namenode.rpc-address.usdp-bing.nn1: usdp-bing-nn1:8020
seatunnel.hadoop.dfs.namenode.rpc-address.usdp-bing.nn2: usdp-bing-nn2:8020
seatunnel.hadoop.dfs.client.failover.proxy.provider.usdp-bing: org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider

if HDFS has some other configs in hdfs-site.xml or core-site.xml , just set HDFS config by using seatunnel.hadoop. prefix.

LocalFile

seatunnel:
engine:
checkpoint:
interval: 6000
timeout: 7000
storage:
type: hdfs
max-retained: 3
plugin-config:
storage.type: hdfs
fs.defaultFS: file:/// # Ensure that the directory has written permission