Data consistency is an important indicator of data accuracy, so how to achieve data consistency? This article will learn how to achieve read and write consistency of data from the perspective of transaction characteristics and transaction level. #Daily #blog #achieve #database #read #consistency
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This time, I will mainly introduce some technical architecture thinking and practice of Yuque when working on the desktop, and will also share some common desktop application solutions and experiences they have accumulated. #Daily #blog #Yuque #desktop #technical #architecture #practice
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The little friend next to me asked me about hot data. After giving him a rough explanation of a wave of redis data skew cases, I also reviewed some methodologies about hot data processing. I also remembered the JD open source project hotkey I learned last year. – A framework dedicated to solving hot data
Daily blog | Redis data skew and JD open source hotkey source code analysis revealed Read More »
The community collection business is a typical scenario of reading more and writing less. Various core feeds in the community need to rely on the data judgment of whether users have collected or not. In the early cache design, because the traffic was not very large, there was no obvious problem. Recently, through monitoring Some
Daily Blog | Community Favorites Cache Design Refactoring Practice Read More »
One day, I received a user consultation on the road. In order to clear the space, I wanted to delete the data of a large table of more than 200 G, and it was confirmed that this table no longer has business access, so I executed a command ‘delete from bigtable’, but it took a
Daily blog | Step by step to understand MySQL metadata lock (MDL) Read More »
This paper analyzes the key implementations of commonly used memory allocators in order to understand the design philosophy of dynamic memory management of virtual machines, and provide guidelines for implementing efficient memory management of virtual machines. #Daily #blog #Memory #allocator #virtual #machine #memory #management
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Why did we choose Flink as the computing engine that integrates streams and batches? The main reason is that Flink is a distributed computing framework for finite-flow and infinite-flow stateful computing, and it can support both stream processing and batch application types. In the traditional sense, Flink is an infinite stream of data. But if
The cause of the failure was that the customer migrated from self-built MySQL to RDS on the cloud the day before, and a large number of lock waits occurred when executing a business with high concurrency. The customer upgraded the instance to the highest specification at that time, but the failure persisted. #Daily #blog #tortuous
The so-called label refers to a key-value data. Any resource on k8s can have a label; we can specify it in the configuration list when creating the resource, or we can use the command to add the label after the resource is created. #Daily #blog #Detailed #explanation #cloud #native #Kubernetes #k8s #labels
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This article describes how the praise business of the Dewu community achieves high-performance response, as well as the optimization and exploration process of high performance, stability and low cost in the use of cache in history, hoping to bring some benefits to readers. #Daily #blog #Community #business #cache #design #optimization #exploration
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