cp-all-in-one
debezium
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cp-all-in-one | debezium | |
---|---|---|
9 | 80 | |
879 | 9,857 | |
3.4% | 2.0% | |
8.3 | 9.9 | |
5 days ago | 4 days ago | |
Python | Java | |
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cp-all-in-one
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My local Kafka instance stuck in "auto leader balancing"
# https://github.com/confluentinc/cp-all-in-one/blob/7.0.1-post/cp-all-in-one/docker-compose.yml version: '3' services: zookeeper: image: confluentinc/cp-zookeeper:7.3.0 container_name: zookeeper ports: - "2181:2181" environment: ZOOKEEPER_CLIENT_PORT: 2181 ZOOKEEPER_TICK_TIME: 2000 broker: image: confluentinc/cp-kafka:7.3.0 container_name: broker ports: - "9092:9092" depends_on: - zookeeper environment: KAFKA_BROKER_ID: 1 KAFKA_ZOOKEEPER_CONNECT: "zookeeper:2181" KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://broker:29092,PLAINTEXT_HOST://localhost:9092 KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1 KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1 KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1 mongodb: container_name: mongo_c image: mongo:6.0 volumes: - ./db:/data/db ports: - "27017:27017" environment: MONGO_INITDB_ROOT_USERNAME: root MONGO_INITDB_ROOT_PASSWORD: example
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Apache Kafka Using Docker
Hi everyone,i'm using Kafka on Docker (https://github.com/confluentinc/cp-all-in-one/blob/7.3.3-post/cp-all-in-one/docker-compose.yml), when I run producer.py, it runs very smooth and consumer.py as well. however when I check the schema-register at localhost:8081 it is null and so is the Confluent Ui (localhost:9021). Is there anything missing? Thanks for your help!
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Has anyone seen and handled this error successfully ? : /bin/sh^M: bad interpreter: No such file or directory
I found this confluent repo https://github.com/confluentinc/cp-all-in-one/tree/7.3.0-post/cp-all-in-one-kraft for an all in one which from what i understand will allow me to connect files etc so that i can "upload" to kafka.
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OpenID Connect authentication with Apache Kafka 3.1
To make it more fun, I'm using Kafka in KRaft mode (so without Zookeeper) based on this example running in Docker provided by Confluent.
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How to use Kafka to stream files using three separate machines (one for the producer, one for the broker, and one for the broker)?
Example: https://github.com/confluentinc/cp-all-in-one/blob/7.3.0-post/cp-all-in-one/docker-compose.yml
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Spring Cloud Stream & Kafka Confluent Avro Schema Registry
We will use a docker-compose.yml based on the one from confluent/cp-all-in-one both to run it locally and to execute the integration tests. From that configuration we will keep only the containers: zookeeper, broker, schema-registry and control-center.
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Kafka Streams application doesn't start up
There are a lot of extraneous services here, and CP version is very old. Current version is 7.1 with 7.2 on the way. Maybe look at using Confluent local services start with the Confluent CLI to run services locally or perhaps use https://github.com/confluentinc/cp-all-in-one as a good reference docker compose
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I love Kafka, but I really can’t stand:
You can even just run the preview without Zookeeper in docker-compose https://github.com/confluentinc/cp-all-in-one/tree/7.0.1-post/cp-all-in-one-kraft
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Docker image for apache kafka
You could try the Confluent Platform images. Here is the compose file for everything you need: https://github.com/confluentinc/cp-all-in-one/blob/6.2.0-post/cp-all-in-one/docker-compose.yml
debezium
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
They manage data in the application layer and your original data stays where it is. This way data consistency is no longer an issue as it was with streaming databases. You can use Change Data Capture (CDC) services like Debezium by directly connecting to your primary database, doing computational work, and saving the result back or sending real-time data to output streams.
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Generating Avro Schemas from Go types
Both of these articles mention a key player, Debezium. In fact, Debezium has had a place in the modern infrastructure. Let's use a diagram to understand why.
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debezium VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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How the heck do I validate records with this kind of data??
This might be overkill, but you could use an extra tool like https://debezium.io to capture logs about all creates, updates, and deletes in your table
- All the ways to capture changes in Postgres
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Managed Relational Databases with AWS RDS and Aurora
If you're considering a relational database for an event-driven architecture, check out Debezium. It lets you stream changes to relational databases, and subscribe to change events.
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Real-time Data Processing Pipeline With MongoDB, Kafka, Debezium And RisingWave
Debezium
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Postgresql to hadoop in real time
https://debezium.io/ comes to mind as an open source product, but there are a gazillion of these tools out there.
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ClickHouse Advanced Tutorial: Apply CDC from MySQL to ClickHouse
Contrary to what it sounds, it’s quite straightforward. The database changes are captured via Debezium and published as events on Apache Kafka. ClickHouse consumes those changes in partial order by Kafka Engine. Real-time and eventually consistent.
- Debezium: Stream Changes from Your Database
What are some alternatives?
docker-kafka-kraft - Apache Kafka Docker image using Kafka Raft metadata mode (KRaft). https://hub.docker.com/r/moeenz/docker-kafka-kraft
maxwell - Maxwell's daemon, a mysql-to-json kafka producer
bitnami-docker-kafka - Bitnami Docker Image for Kafka
kafka-connect-bigquery - A Kafka Connect BigQuery sink connector
examples - Apache Kafka and Confluent Platform examples and demos
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
demo-scene - 👾Scripts and samples to support Confluent Demos and Talks. ⚠️Might be rough around the edges ;-) 👉For automated tutorials and QA'd code, see https://github.com/confluentinc/examples/
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
NiFItoKafkaConnect - NiFi -> Kafka Connect -> HDFS
hudi - Upserts, Deletes And Incremental Processing on Big Data.
fake-data-producer-for-apache-kafka-docker - Fake Data Producer for Aiven for Apache Kafka® in a Docker Image
RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.