Moving data between Managed Service for Apache Kafka® clusters using Data Transfer
You can transfer your data from Apache Kafka® topics between one Apache Kafka® cluster and another in real time. Among others, the following migration types are supported:
- Between different Apache Kafka® versions, e.g., you can migrate topics from version 2.8 to version 3.1.
- Between different availability zones: you can migrate a cluster with a single host from one zone to another.
Apache Kafka® cluster mirroring allows you to:
- Set up topic replication in the management console interface or in Terraform.
- Track the migration process using the transfer monitoring.
- Avoid creating an intermediate VM or granting online access to your target cluster.
Note
This tutorial describes a scenario for migrating data from one Managed Service for Apache Kafka® cluster to another.
To migrate data:
If you no longer need the resources you created, delete them.
Getting started
-
Prepare the data transfer infrastructure:
ManuallyTerraform- Create a source and target Managed Service for Apache Kafka® cluster with public access from the internet in any suitable configuration.
- In the source cluster, create a topic named
sensors
. - In the source cluster, create a user with the
ACCESS_ROLE_PRODUCER
andACCESS_ROLE_CONSUMER
permissions for the created topic. - In the target cluster, create a user with the
ACCESS_ROLE_PRODUCER
andACCESS_ROLE_CONSUMER
permissions for all the topics.
-
If you do not have Terraform yet, install it.
-
Get the authentication credentials. You can add them to environment variables or specify them later in the provider configuration file.
-
Configure and initialize a provider. There is no need to create a provider configuration file manually, you can download it
. -
Place the configuration file in a separate working directory and specify the parameter values. If you did not add the authentication credentials to environment variables, specify them in the configuration file.
-
Download the data-transfer-mkf-mkf.tf
configuration file to the same working directory.This file describes:
- Network.
- Subnet.
- Security group and the rule required to connect to a Managed Service for Apache Kafka® cluster.
- Managed Service for Apache Kafka® source cluster with public access from the internet.
- Apache Kafka® topic for the source cluster.
- Apache Kafka® user for the source cluster.
- Managed Service for Apache Kafka® target cluster.
- Apache Kafka® topic for the target cluster.
- Apache Kafka® user for the target cluster.
- Transfer.
-
In the
data-transfer-mkf-mkf.tf
file, specify the values of parameters:source_kf_version
: Apache Kafka® version in the source cluster.source_user_name
: Username for establishing a connection to the Apache Kafka® topic.source_user_password
: User password.target_kf_version
: Apache Kafka® version in the target cluster.transfer_enabled
: Set to0
to ensure that no transfer is created until you manually create the source and target endpoints.
-
Make sure the Terraform configuration files are correct using this command:
terraform validate
If there are any errors in the configuration files, Terraform will point them out.
-
Create the required infrastructure:
-
Run the command to view planned changes:
terraform plan
If the resource configuration descriptions are correct, the terminal will display a list of the resources to modify and their parameters. This is a test step. No resources are updated.
-
If you are happy with the planned changes, apply them:
-
Run the command:
terraform apply
-
Confirm the update of resources.
-
Wait for the operation to complete.
-
All the required resources will be created in the specified folder. You can check resource availability and their settings in the management console
. -
The created Apache Kafka®
sensors
topic in the source cluster will receive test data from car sensors in JSON format, for example:{ "device_id":"iv9a94th6rzt********", "datetime":"2020-06-05 17:27:00", "latitude":"55.70329032", "longitude":"37.65472196", "altitude":"427.5", "speed":"0", "battery_voltage":"23.5", "cabin_temperature":"17", "fuel_level":null }
-
Install the utilities:
-
kafkacat
to read and write data to Apache Kafka® topics.sudo apt update && sudo apt install --yes kafkacat
Check that you can use it to connect to the Managed Service for Apache Kafka® source cluster over SSL.
-
jq
for JSON file stream processing.sudo apt update && sudo apt-get install --yes jq
-
Prepare and activate the transfer
-
-
Database type:
Kafka
. -
Endpoint parameters:
-
Connection settings:
Managed Service for Apache Kafka cluster
.Select a target cluster from the list and specify its connection settings.
-
Topic:
- Topic full name:
measurements
.
- Topic full name:
-
-
-
- Database type:
Kafka
. - Endpoint parameters:
-
Connection type:
Managed Service for Apache Kafka cluster
.Select a source cluster from the list and specify its connection settings.
-
Topic full name:
sensors
.
-
- Database type:
-
Create a transfer:
ManuallyTerraform- Create a transfer of the Replication type that will use the created endpoints.
- Activate your transfer.
-
In the
data-transfer-mkf-mkf.tf
file, specify the values of parameters:source_endpoint_id
: ID of the source endpoint.target_endpoint_id
: ID of the target endpoint.transfer_enabled
: Set to1
to enable transfer creation.
-
Make sure the Terraform configuration files are correct using this command:
terraform validate
If there are any errors in the configuration files, Terraform will point them out.
-
Create the required infrastructure:
-
Run the command to view planned changes:
terraform plan
If the resource configuration descriptions are correct, the terminal will display a list of the resources to modify and their parameters. This is a test step. No resources are updated.
-
If you are happy with the planned changes, apply them:
-
Run the command:
terraform apply
-
Confirm the update of resources.
-
Wait for the operation to complete.
-
Once created, your transfer will be activated automatically.
-
Test the transfer
-
Wait for the transfer status to change to Replicating.
-
Make sure that the data from the topic in the source cluster move to the topic in the target Managed Service for Apache Kafka® cluster:
-
Create a
sample.json
file with the following test data:{ "device_id": "iv9a94th6rzt********", "datetime": "2020-06-05 17:27:00", "latitude": 55.70329032, "longitude": 37.65472196, "altitude": 427.5, "speed": 0, "battery_voltage": 23.5, "cabin_temperature": 17, "fuel_level": null } { "device_id": "rhibbh3y08qm********", "datetime": "2020-06-06 09:49:54", "latitude": 55.71294467, "longitude": 37.66542005, "altitude": 429.13, "speed": 55.5, "battery_voltage": null, "cabin_temperature": 18, "fuel_level": 32 } { "device_id": "iv9a94th6rzt********", "datetime": "2020-06-07 15:00:10", "latitude": 55.70985913, "longitude": 37.62141918, "altitude": 417.0, "speed": 15.7, "battery_voltage": 10.3, "cabin_temperature": 17, "fuel_level": null }
-
Send data from the
sample.json
file to thesensors
topic in the source Managed Service for Apache Kafka® cluster usingjq
andkafkacat
:jq -rc . sample.json | kafkacat -P \ -b <source_cluster_broker_FQDN>:9091 \ -t sensors \ -k key \ -X security.protocol=SASL_SSL \ -X sasl.mechanisms=SCRAM-SHA-512 \ -X sasl.username="<username_in_the_source_cluster>" \ -X sasl.password="<user_password_in_the_source_cluster>" \ -X ssl.ca.location=/usr/local/share/ca-certificates/Yandex/YandexInternalRootCA.crt -Z
The data is sent on behalf of the created user. To learn more about setting up an SSL certificate and working with
kafkacat
, see Connecting to an Apache Kafka® cluster from applications. -
Use the
kafkacat
utility to make sure that the data from the source cluster has moved to the target Managed Service for Apache Kafka® cluster:kafkacat -C \ -b <target_cluster_broker_FQDN>:9091 \ -t measurements \ -X security.protocol=SASL_SSL \ -X sasl.mechanisms=SCRAM-SHA-512 \ -X sasl.username="<username_in_the_target_cluster>" \ -X sasl.password="<user_password_in_the_target_cluster>" \ -X ssl.ca.location=/usr/local/share/ca-certificates/Yandex/YandexInternalRootCA.crt -Z -K:
-
Delete the resources you created
Note
Before deleting the created resources, deactivate the transfer.
Some resources are not free of charge. To avoid paying for them, delete the resources you no longer need:
- Delete the transfer.
- Delete endpoints for both the source and target.
Delete the other resources depending on how they were created:
-
In the terminal window, go to the directory containing the infrastructure plan.
-
Delete the
data-transfer-mkf-mkf.tf
configuration file. -
Make sure the Terraform configuration files are correct using this command:
terraform validate
If there are any errors in the configuration files, Terraform will point them out.
-
Confirm updating the resources.
-
Run the command to view planned changes:
terraform plan
If the resource configuration descriptions are correct, the terminal will display a list of the resources to modify and their parameters. This is a test step. No resources are updated.
-
If you are happy with the planned changes, apply them:
-
Run the command:
terraform apply
-
Confirm the update of resources.
-
Wait for the operation to complete.
-
All the resources described in the
data-transfer-mkf-mkf.tf
configuration file will be deleted. -