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Translatedflink learning blog. http://www.54tianzhisheng.cn/ Covers Flink introduction, concepts, principles, hands-on practice, performance tuning, source code analysis, and more. Includes learning examples involving Flink Connector, Metrics, Library, DataStream API, Table API & SQL, and also shares large-scale project cases of Flink in production (PV/UV, log storage, real-time deduplication of 10 billion records, monitoring and alerting). You are welcome to support my column 《大数据实时计算引擎 Flink 实战与性能优化》 ("Big Data Real-Time Computing Engine Flink: Hands-On Practice and Performance Optimization")

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Translatedmall learning tutorial, with a comprehensive analysis of the architecture, business logic, and key technical points. The mall project (60k+ stars) is an e-commerce system built with currently mainstream technologies. It covers technologies such as SpringBoot, MyBatis, Elasticsearch, RabbitMQ, Redis, MongoDB, and MySQL, and uses Docker containerized deployment.

TranslatedThis is a picker view for android , support linkage effect, timepicker and optionspicker.(time picker, three-level linkage of province, city and district)

  • pickerview
  • timepicker
  • optionspicker
  • datepicker

Translatedmall-swarm is a microservice e-commerce mall system that uses core technologies such as Spring Cloud Alibaba, Spring Boot 3.5, Sa-Token, MyBatis, Elasticsearch, Docker, and Kubernetes. It also provides a Vue-based admin backend so that the system can be set up quickly. On top of basic e-commerce business functions, mall-swarm integrates system functions such as a registry center, a configuration center, a monitoring center, and a gateway.

  • springcloud
  • springboot
  • docker
  • java

The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

Diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability.

Open source transactional distributed database. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure without compromising performance.

Apache Beam is a unified programming model for Batch and Streaming data processing.

Tsunami is a general purpose network security scanner with an extensible plugin system for detecting high severity vulnerabilities with high confidence.

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

Production-safe dynamic tracing and diagnostics for Java applications—attach to live JVMs with no restart or recompilation.

  • btrace
  • java
  • bytecode-instrumentation
  • diagnostics