Yandex Cloud
Search
Contact UsGet started
  • Blog
  • Pricing
  • Documentation
  • All Services
  • System Status
    • Featured
    • Infrastructure & Network
    • Data Platform
    • Containers
    • Developer tools
    • Serverless
    • Security
    • Monitoring & Resources
    • ML & AI
    • Business tools
  • All Solutions
    • By industry
    • By use case
    • Economics and Pricing
    • Security
    • Technical Support
    • Customer Stories
    • Gateway to Russia
    • Cloud for Startups
    • Education and Science
  • Blog
  • Pricing
  • Documentation
Yandex project
© 2025 Yandex.Cloud LLC
Tutorials
    • All tutorials
    • Deploying the Apache Kafka® web interface
    • Migrating a database from a third-party Apache Kafka® cluster to Managed Service for Apache Kafka®
    • Moving data between Managed Service for Apache Kafka® clusters using Data Transfer
    • Delivering data from Managed Service for MySQL® to Managed Service for Apache Kafka® using Data Transfer
    • Delivering data from Managed Service for MySQL® to Managed Service for Apache Kafka® using Debezium
    • Delivering data from Managed Service for PostgreSQL to Managed Service for Apache Kafka® using Data Transfer
    • Delivering data from Managed Service for PostgreSQL to Managed Service for Apache Kafka® using Debezium
    • Delivering data from Managed Service for YDB to Managed Service for Apache Kafka® using Data Transfer
    • Delivering data from Managed Service for Apache Kafka® to Managed Service for ClickHouse® using Data Transfer
    • Delivering data from Managed Service for Apache Kafka® to Managed Service for Greenplum® using Data Transfer
    • Delivering data from Managed Service for Apache Kafka® to Managed Service for MongoDB using Data Transfer
    • Delivering data from Managed Service for Apache Kafka® to Managed Service for MySQL® using Data Transfer
    • Delivering data from Managed Service for Apache Kafka® to Managed Service for OpenSearch using Data Transfer
    • Delivering data from Managed Service for Apache Kafka® to Managed Service for PostgreSQL using Data Transfer
    • Delivering data from Managed Service for Apache Kafka® to Managed Service for YDB using Data Transfer
    • Delivering data from Managed Service for Apache Kafka® to Data Streams using Data Transfer
    • Delivering data from Data Streams to Managed Service for YDB using Data Transfer
    • Delivering data from Data Streams to Managed Service for Apache Kafka® using Data Transfer
    • YDB change data capture and delivery to YDS
    • Configuring Kafka Connect to work with a Managed Service for Apache Kafka® cluster
    • Automating Query tasks with Managed Service for Apache Airflow™
    • Sending requests to the Yandex Cloud API via the Yandex Cloud Python SDK
    • Configuring an SMTP server to send e-mail notifications
    • Adding data to a ClickHouse® DB
    • Migrating data to Managed Service for ClickHouse® using Data Transfer
    • Delivering data from Managed Service for MySQL® to Managed Service for ClickHouse® using Data Transfer
    • Asynchronously replicating data from PostgreSQL to ClickHouse®
    • Exchanging data between Managed Service for ClickHouse® and Yandex Data Processing
    • Configuring Managed Service for ClickHouse® for Graphite
    • Fetching data from Managed Service for Apache Kafka® to Managed Service for ClickHouse®
    • Fetching data from Managed Service for Apache Kafka® to ksqlDB
    • Fetching data from RabbitMQ to Managed Service for ClickHouse®
    • Saving a Data Streams data stream in Managed Service for ClickHouse®
    • Asynchronous replication of data from Yandex Metrica to ClickHouse® using Data Transfer
    • Using hybrid storage in Managed Service for ClickHouse®
    • Sharding Managed Service for ClickHouse® tables
    • Data resharding in a Managed Service for ClickHouse® cluster
    • Loading data from Yandex Direct to a data mart enabled by Managed Service for ClickHouse® using Cloud Functions, Object Storage, and Data Transfer
    • Loading data from Object Storage to Managed Service for ClickHouse® using Data Transfer
    • Migrating data with change of storage from Managed Service for OpenSearch to Managed Service for ClickHouse® using Data Transfer
    • Loading data from Managed Service for YDB to Managed Service for ClickHouse® using Data Transfer
    • Migrating databases from Google BigQuery to Managed Service for ClickHouse®
    • Configuring Cloud DNS to access a Managed Service for ClickHouse® cluster from other cloud networks
    • Migrating a Yandex Data Processing HDFS cluster to a different availability zone
    • Importing data from Managed Service for MySQL® to Yandex Data Processing using Sqoop
    • Importing data from Managed Service for PostgreSQL to Yandex Data Processing using Sqoop
    • Mounting Object Storage buckets to the file system of Yandex Data Processing hosts
    • Working with Apache Kafka® topics using Yandex Data Processing
    • Automating operations with Yandex Data Processing using Managed Service for Apache Airflow™
    • Shared use of Yandex Data Processing tables through Metastore
    • Transferring metadata between Yandex Data Processing clusters using Metastore
    • Importing data from Object Storage, processing and exporting to Managed Service for ClickHouse®
    • Migrating to Managed Service for Elasticsearch using snapshots
    • Migrating collections from a third-party MongoDB cluster to Managed Service for MongoDB
    • Migrating data to Managed Service for MongoDB
    • Migrating Managed Service for MongoDB cluster from 4.4 to 6.0
    • Sharding MongoDB collections
    • MongoDB performance analysis and tuning
    • Migrating a database from a third-party MySQL® cluster to a Managed Service for MySQL® cluster
    • Managed Service for MySQL® performance analysis and tuning
    • Syncing data from a third-party MySQL® cluster to Managed Service for MySQL® using Data Transfer
    • Migrating a database from Managed Service for MySQL® to a third-party MySQL® cluster
    • Migrating a database from Managed Service for MySQL® to Object Storage using Data Transfer
    • Migrating data from Object Storage to Managed Service for MySQL® using Data Transfer
    • Delivering data from Managed Service for MySQL® to Managed Service for Apache Kafka® using Data Transfer
    • Delivering data from Managed Service for MySQL® to Managed Service for Apache Kafka® using Debezium
    • Migrating a database from Managed Service for MySQL® to Managed Service for YDB using Data Transfer
    • MySQL® change data capture and delivery to YDS
    • Migrating data from Managed Service for MySQL® to Managed Service for PostgreSQL using Data Transfer
    • Migrating data from AWS RDS for PostgreSQL to Managed Service for PostgreSQL using Data Transfer
    • Migrating data from Managed Service for MySQL® to Managed Service for Greenplum® using Data Transfer
    • Configuring an index policy in Managed Service for OpenSearch
    • Migrating data from Elasticsearch to Managed Service for OpenSearch
    • Migrating data from a third-party OpenSearch cluster to Managed Service for OpenSearch using Data Transfer
    • Loading data from Managed Service for OpenSearch to Object Storage using Data Transfer
    • Migrating data from Managed Service for OpenSearch to Managed Service for YDB using Data Transfer
    • Copying data from Managed Service for OpenSearch to Managed Service for Greenplum® using Yandex Data Transfer
    • Migrating data from Managed Service for PostgreSQL to Managed Service for OpenSearch using Data Transfer
    • Authenticating a Managed Service for OpenSearch cluster in OpenSearch Dashboards using Keycloak
    • Using the yandex-lemmer plugin in Managed Service for OpenSearch
    • Creating a PostgreSQL cluster for 1C:Enterprise
    • Searching for the Managed Service for PostgreSQL cluster performance issues
    • Managed Service for PostgreSQL performance analysis and tuning
    • Logical replication PostgreSQL
    • Migrating a database from a third-party PostgreSQL cluster to Managed Service for PostgreSQL
    • Migrating a database from Managed Service for PostgreSQL
    • Delivering data from Managed Service for PostgreSQL to Managed Service for Apache Kafka® using Data Transfer
    • Delivering data from Managed Service for PostgreSQL to Managed Service for Apache Kafka® using Debezium
    • Delivering data from Managed Service for PostgreSQL to Managed Service for YDB using Data Transfer
    • Migrating a database from Managed Service for PostgreSQL to Object Storage
    • Migrating data from Object Storage to Managed Service for PostgreSQL using Data Transfer
    • PostgreSQL change data capture and delivery to YDS
    • Migrating data from Managed Service for PostgreSQL to Managed Service for MySQL® using Data Transfer
    • Migrating data from Managed Service for PostgreSQL to Managed Service for OpenSearch using Data Transfer
    • Troubleshooting string sorting issues in PostgreSQL after upgrading glibc
    • Migrating a database from Greenplum® to ClickHouse®
    • Migrating a database from Greenplum® to PostgreSQL
    • Exporting Greenplum® data to a cold storage in Object Storage
    • Loading data from Object Storage to Managed Service for Greenplum® using Data Transfer
    • Copying data from Managed Service for OpenSearch to Managed Service for Greenplum® using Yandex Data Transfer
    • Creating an external table from a Object Storage bucket table using a configuration file
    • Migrating a database from a third-party Valkey™ cluster to Yandex Managed Service for Valkey™
    • Using a Yandex Managed Service for Valkey™ cluster as a PHP session storage
    • Loading data from Object Storage to Managed Service for YDB using Data Transfer
    • Loading data from Managed Service for YDB to Object Storage using Data Transfer
    • Processing Audit Trails events
    • Processing Cloud Logging logs
    • Processing CDC Debezium streams
    • Analyzing data with Jupyter
    • Processing files with usage details in Yandex Cloud Billing
    • Entering data into storage systems
    • Smart log processing
    • Transferring data within microservice architectures
    • Migrating data to Object Storage using Data Transfer
    • Migrating data from a third-party Greenplum® or PostgreSQL cluster to Managed Service for Greenplum® using Data Transfer
    • Migrating Managed Service for MongoDB clusters
    • Migrating MySQL® clusters
    • Migrating to a third-party MySQL® cluster
    • Migrating PostgreSQL clusters
    • Creating a schema registry to deliver data in Debezium CDC format from Apache Kafka®

In this article:

  • Getting started
  • Create a data stream in Data Streams
  • Set the stream connection parameters
  • Set up Debezium Server
  • Connect Query to your data stream
  • Query the data
  • See also
  1. Building a data platform
  2. Processing CDC Debezium streams

Processing CDC Debezium streams

Written by
Yandex Cloud
Updated at May 7, 2025
  • Getting started
  • Create a data stream in Data Streams
  • Set the stream connection parameters
  • Set up Debezium Server
  • Connect Query to your data stream
  • Query the data
  • See also

Debezium is a change data capture service for streaming DB changes to other systems for processing. You can use Yandex Data Streams to capture these changes and Yandex Query to process them. You can do the following with processed data:

  • Send it to Yandex Monitoring to make charts and use it in alerting.
  • Write it to a stream in Data Streams and then send it to Yandex Cloud Functions for processing.
  • Write it to a stream in Data Streams and then transfer it to Yandex Data Transfer to be sent to various storage systems.

debezium-architecture

In this use case, you will send PostgreSQL database changes to a stream in Data Streams using Debezium and then run a query to them with Query. The query will return the number of changes in DB tables grouped by 10s interval. It is assumed that Debezium is installed on the server with PostgreSQL set up and running.

To implement this use case:

  1. Create a data stream in Data Streams.
  2. Set the stream connection credentials.
  3. Set up Debezium Server.
  4. Connect Query to your data stream.
  5. Query the data.

Getting startedGetting started

Sign up in Yandex Cloud and create a billing account:

  1. Navigate to the management console and log in to Yandex Cloud or register a new account.
  2. On the Yandex Cloud Billing page, make sure you have a billing account linked and it has the ACTIVE or TRIAL_ACTIVE status. If you do not have a billing account, create one and link a cloud to it.

If you have an active billing account, you can navigate to the cloud page to create or select a folder for your infrastructure to operate in.

Learn more about clouds and folders.

Create a data stream in Data StreamsCreate a data stream in Data Streams

Create a data stream named debezium.

Set the stream connection parametersSet the stream connection parameters

  1. Create a service account and assign it the editor role for your folder.
  2. Create a static access key.
  3. On the server where PostgreSQL is set up and running, configure the AWS CLI:
    1. Install the AWS CLI and run this command:

      aws configure
      
    2. Enter the following one by one:

      • AWS Access Key ID [None]:: Service account key ID.
      • AWS Secret Access Key [None]:: Service account secret key.
      • Default region name [None]:: ru-central1 availability zone.

Set up Debezium ServerSet up Debezium Server

On the server where PostgreSQL is set up and running:

  1. Install the Debezium Server by following this guide.

  2. Go to the conf folder and create the file application.properties with the following content:

    debezium.sink.type=kinesis
    debezium.sink.kinesis.region=ru-central1
    debezium.sink.kinesis.endpoint=<endpoint>
    debezium.source.connector.class=io.debezium.connector.postgresql.PostgresConnector
    debezium.source.offset.storage.file.filename=data/offsets.dat
    debezium.source.offset.flush.interval.ms=0
    debezium.source.database.hostname=localhost
    debezium.source.database.port=5432
    debezium.source.database.user=<username>
    debezium.source.database.password=<user_password>
    debezium.source.database.dbname=<DB_name>
    debezium.source.database.server.name=debezium
    debezium.source.plugin.name=pgoutput
    
    debezium.source.transforms=Reroute
    debezium.source.transforms.Reroute.type=io.debezium.transforms.ByLogicalTableRouter
    debezium.source.transforms.Reroute.topic.regex=(.*)
    debezium.source.transforms.Reroute.topic.replacement=<data_stream>
    

    Where:

    • <endpoint>: Endpoint for a Data Streams data stream, e.g., https://yds.serverless.yandexcloud.net/ru-central1/b1g89ae43m6he********/etn01eg4rn1********. You can find the endpoint on the stream page (see Viewing a list of streams).
    • <data_stream>: Data Streams data stream name.
    • <DB_name>: PostgreSQL database name.
    • <username>: Username for connecting to the PostgreSQL database.
    • <user_password>: User password for connecting to the PostgreSQL database.
  3. Run Debezium using this command:

    JAVA_OPTS=-Daws.cborEnabled=false ./run.sh
    
  4. Make some changes to the PostgreSQL database, such as insert data into a table.

  5. If the settings are correct, the Debezium console will show messages like:

    2022-02-11 07:31:12,850 INFO  [io.deb.con.com.BaseSourceTask](pool-7-thread-1) 1 records sent during previous 00:19:59.999, last recorded offset: {transaction_id=null, lsn_proc=23576408, lsn_commit=23576120, lsn=23576408, txId=580, ts_usec=1644564672582666}
    

Connect Query to your data streamConnect Query to your data stream

  1. Create a connection named yds-connection of the Data Streams type.
  2. On the binding creation page:
    • Enter a name for the binding: debezium.
    • Specify the data stream: cdebezium.
    • Add a column titled data with JSON for type.
  3. Click Create.

Query the dataQuery the data

Open the query editor in the Query interface and run the query:

$debezium_data = 
SELECT 
    JSON_VALUE(data,"$.payload.source.table") AS table_name, 
    DateTime::FromMilliseconds(cast(JSON_VALUE(data,"$.payload.source.ts_ms") AS Uint64)) AS `timestamp`
FROM bindings.`debezium`;

SELECT 
    table_name, 
    HOP_END() 
FROM 
    $debezium_data 
GROUP BY 
    HOP(`timestamp`, "PT10S", "PT10S", "PT10S"),
    table_name
LIMIT 2;

Note

Data from a stream source is transferred as an infinite stream. To stop data processing and output the result to the console, the data in the example is limited with the LIMIT operator that sets the number of rows in the result.

See alsoSee also

  • Reading data from Data Streams using Query connections

Was the article helpful?

Previous
Processing Cloud Logging logs
Next
Analyzing data with Jupyter
Yandex project
© 2025 Yandex.Cloud LLC