On April 22, the "MySQL x ClickHouse" session of the Cloud Database Technology Salon
"MySQL x ClickHouse" technology salon, with the theme of "Technology Evolution, Make Data Smarter", gathered technical experts from many database manufacturers such as ByteDance, Alibaba Cloud, Jiuzhang Math, Huawei Cloud, Tencent Cloud, Baidu, etc. Cafe, around the practical experience of MySQL x ClickHouse, exchange and share with the majority of technology enthusiasts. 2023 Cloud Database Technology Salon-Participation
Activity introduction
MySQL is undisputedly the most popular database, supporting countless large and small business scenarios in the real world; ClickHouse is the fastest-growing open source analytical database in recent years, because of its extreme pursuit of performance, making Even in the case of a stand-alone machine, it has very good performance. And this also very well makes up for the performance shortcomings of MySQL in complex analysis queries. This time, let's take a look at what kind of sparks MySQL x ClickHouse will collide with.
Topic 1: ByteHouse Cloud Data Warehouse Edition Query Performance Optimization and MySQL Ecological Improvement
You Zhiyuan｜Volcano Engine ByteHouse Senior R&D Engineer
Guest profile:
Senior R&D engineer of Volcano Engine, responsible for ByteHouse cloud data warehouse version engine computing module. Previously worked for Netease, Cainiao Group, and Ant Group, and has many years of experience in research and development of big data computing engines and distributed systems.
Introduction to the theme:
The ByteHouse Cloud Data Warehouse Edition is based on the reuse of the open source ClickHouse runtime by the ByteDance data platform team, based on the refactoring design of the cloud-native architecture, and a large number of new and optimized functions. Inside Byte, ByteHouse is widely used in various real-time analysis fields. The largest cluster has a scale of more than 2,400 nodes and manages a total data volume of more than 700PB. This sharing will introduce the overall architecture of the ByteHouse cloud-native version, and focus on ByteHouse's query optimization (such as optimizer, MPP execution mode, scheduling optimization, etc.) and the improvement of the MySQL ecosystem (based on the community MaterializedMySQL function). Finally, combined with practical application cases, the optimization effect is summarized.
Topic 2: Evolution of HTAP for MySQL in Tencent Cloud Database
Lu Hongyong｜Senior Technical Expert of Tencent TEG Database Product Department
Guest profile:
He has worked in SAP for many years on the design and development of the HANA database kernel, and the design and development of the Alibaba Cloud Polardb database kernel. Currently working on the design and development of HTAP for MySQL related products in Tencent Cloud Database.
Introduction to the theme:
MySQL is relatively deficient in making full use of multi-core computing resources, and cannot meet the needs of customers for online business and analytical business at the same time. Deploying a dedicated analytical database means additional costs and complex data links. This topic will introduce Tencent Cloud Database's attempts in HTAP for MySQL products to meet such scenarios.
Topic 3: Secrets of data replication technology under multi-cloud and multi-source-NineData
Chen Changcheng (Tianyu) | Vice President of Jiuzhang Arithmetic Technology
Guest profile:
Chen Changcheng (Tianyu), Vice President of Jiuzhang Arithmetic Technology, former senior technical expert of Alibaba Cloud, has been working in the database field for 15 years, and has led the evolution of Alibaba's database infrastructure (IOE to distributed, remote multi-active, containerized separation of storage and storage) And cloud native database tool system construction.
Introduction to the theme:
With the advent of the era of data intelligence, data management under the multi-cloud and multi-source architecture is an essential infrastructure for enterprises. We believe that data access, data integration and distribution, data security and data quality are the foundation, and it is also the key to the multi-cloud and multi-source architecture. starting point. This topic introduces cloud-native multi-cloud and multi-source data management NineData, focusing on data management and replication technologies related to MySQL and ClickHouse.
Topic 4: Alibaba Cloud Database ClickHouse Products and Technologies
Speakers:
Liu Yangkuan｜Alibaba Cloud Database ClickHouse Technology R&D
Guest profile:
Liu Yangkuan, nicknamed Liu Bai in Ali, has been engaged in the research and development of data storage and data processing systems for more than ten years. Joined Alibaba Cloud in 2019 to participate in the architecture upgrade of the storage and computing separation of internal products. In the research and development of cloud-native ClickHouse, the person in charge of the storage module optimizes the storage system in a targeted manner according to the characteristics of the computing layer accessing the storage system, and improves the overall performance of the cloud-native ClickHouse.
Introduction to the theme:
The stand-alone engine performance of Community ClickHouse is amazing, but it is not very easy to deploy and maintain ClickHouse clusters and troubleshoot. This time, we will share the capabilities and features of Alibaba Cloud database ClickHouse products, including synchronizing MySQL library, ODPS library, local disk and multi-disk cost-effective instances, and migration tools for self-built clusters to the cloud. Finally, we will introduce the progress of Alibaba Cloud in cloud-native ClickHouse.
Topic 5: GaussDB (for MySQL) Cloud Native Database Technology Evolution and Challenges
Zhou Jiaen｜Huawei Cloud Database Senior Product Manager
Guest profile:
More than 10 years of experience in database technology operation and maintenance and product management. He has worked as a product manager in several TOP cloud vendors. He is familiar with MySQL, SQL Server and other database management, maintenance and commercial operations. He is currently a senior product manager of Huawei Cloud Database, responsible for native Database GaussDB (for MySQL) product management and design, operation work
Introduction to the theme:
GaussDB (for MySQL) is Huawei's self-developed cloud-native database. It features high performance, high scalability, and high reliability. It is fully compatible with the MySQL protocol. Its self-developed architecture and friendly ecological compatibility can satisfy database administrators and application developers at the same time. , CTO's operation and maintenance, use and business development needs, this time mainly introduces the challenges GaussDB (for MySQL) encounters in the direction of cloud native technology and the future development and evolution path.
Topic 6: Baidu cloud native database GaiaDB's HTAP and multi-site multi-active technology practice
Qiu Xueda｜Senior Technical Expert of Baidu Database
Guest profile:
Senior technical expert of Baidu database, mainly responsible for distributed architecture design and database kernel feature design and development. Years of experience in database and distributed storage development, focusing on distributed high-availability + high-reliability architecture design and cloud-native transformation. Extensive experience in distributed performance optimization and end-to-end availability improvement
the speech topic:
After the cloud-native database uses the storage-computing separation technology, it can greatly increase the data scale and throughput capacity that a single instance can carry while being fully compatible with the MYSQL protocol and syntax. However, in addition to being compatible with clients, adaptation to the entire data ecosystem (regional disaster recovery, data analysis, backup and recovery) also requires a lot of design optimization work. This time, we will share GaiaDB's capacity building and practical experience in terms of throughput/real-time/consistency in cross-regional/heterogeneous data synchronization scenarios.
