cosmosdb-kafka-connect-docker
Apache Avro
Our great sponsors
cosmosdb-kafka-connect-docker | Apache Avro | |
---|---|---|
1 | 22 | |
4 | 2,736 | |
- | 1.6% | |
0.0 | 9.7 | |
over 2 years ago | 8 days ago | |
Dockerfile | Java | |
MIT License | Apache License 2.0 |
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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.
cosmosdb-kafka-connect-docker
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Getting started with Kafka Connector for Azure Cosmos DB using Docker
git clone [https://github.com/Azure-Samples/cosmosdb-kafka-connect-docker](https://github.com/Azure-Samples/cosmosdb-kafka-connect-docker) cd cosmosdb-kafka-connect-docker
Apache Avro
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Generating Avro Schemas from Go types
The most common format for describing schema in this scenario is Apache Avro.
- The state of Apache Avro in Rust
- How people generate examples for multiple programming languages?
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gRPC on the client side
Other serialization alternatives have a schema validation option: e.g., Avro, Kryo and Protocol Buffers. Interestingly enough, gRPC uses Protobuf to offer RPC across distributed components:
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Understanding Azure Event Hubs Capture
Apache Avro is a data serialization system, for more information visit Apache Avro
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In One Minute : Hadoop
Avro, a data serialization system based on JSON schemas.
- Protocol Buffer x JSON para serializaĆ§Ć£o de dados
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Marshaling objects in modern Java
If binary format is OK, use Protocol Buffer or Avro . Note that in the case of binary formats, you need a schema to serialize/de-serialize your data. Therefore, you'd probably want a schema registry to store all past and present schemas for later usage.
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How-to-Guide: Contributing to Open Source
Apache Avro
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How should I handle storing and reading from large amounts of data in my project?
Maybe it will be simpler to serialise all the data in a more compact data format, such as avro (its readme is in here), a row based format that seems to be able to use zstd/bzip/xz.
What are some alternatives?
Protobuf - Protocol Buffers - Google's data interchange format
SBE - Simple Binary Encoding (SBE) - High Performance Message Codec
Apache Thrift - Apache Thrift
iceberg - Apache Iceberg
Apache Parquet - Apache Parquet
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Apache Orc - Apache ORC - the smallest, fastest columnar storage for Hadoop workloads
hudi - Upserts, Deletes And Incremental Processing on Big Data.
Wire - gRPC and protocol buffers for Android, Kotlin, Swift and Java.
Big Queue - A big, fast and persistent queue based on memory mapped file.
tape - A lightning fast, transactional, file-based FIFO for Android and Java.
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs