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Message transmission method based on shared memory

A message passing and shared memory technology, applied in the field of message passing based on shared memory, can solve problems such as increasing message delay

Active Publication Date: 2021-04-27
江苏未来智慧信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In some occasions that require rapid response, the message delay is increased

Method used

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  • Message transmission method based on shared memory
  • Message transmission method based on shared memory

Examples

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Embodiment 1

[0030] Such as figure 1 A message delivery method based on a shared memory is shown, including using the shared memory as a data storage carrier to provide rapid message delivery services for both message delivery parties;

[0031] The messaging service process is completed by calling the API from the server's business process;

[0032] Encapsulate the shared memory into a message channel and mark the message channel;

[0033] When performing message read and write operations, use the batch read and write function to read and write multiple pieces of data at one time;

[0034] When executing the read operation of the message, by judging the mark of the channel, obtain whether there is data in the current channel: if there is data, read the data; if there is no data, skip the current channel, read and judge the mark of the next channel;

[0035] For scenarios where messages cannot be lost, messages that cannot be processed in time and cannot be discarded are sent to the distr...

Embodiment 2

[0061] The difference between Example 2 and Example 1 is that, as figure 2 As shown, Embodiment 2 is a scenario where the present invention is used for service communication of a NOSQL database, and the specific workflow is as follows:

[0062] The client can be a listener for cross-network services, a console accessed by the same host, and a program API accessed by the same host. When each client initializes, it initializes its own read channel according to its own client id.

[0063] The server receives a data request from a channel, and writes the message back to the channel of the corresponding client after processing.

[0064] figure 2 Among them, Dblistener is the database listener, DbConsole is the database console, Db API is the database application program interface, and DbServer is the database server.

[0065] The message transmission method based on the shared memory of the present invention solves the technical problem of high-speed data transmission between p...

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Abstract

The invention discloses a message passing method based on a shared memory, which belongs to the technical field of message middleware, and comprises the following steps of: taking the shared memory as a data storage carrier, and finishing a message passing service process by calling api (Application Program Interface) by a service process of a server; packaging the shared memory into a message channel, and marking the message channel; when read-write operation of messages is executed, a batch read-write function is used, whether data exist in a current channel or not is obtained by judging marks of the channel, and for a scene that the messages cannot be lost, the messages which cannot be processed in time and cannot be discarded are sent to a distributed message system kafka to be stored, so that the technical problem of high-speed data transmission between processes is solved; the shared memory is used as a carrier for data storage. A shared memory is packaged into a message channel, and data can be transmitted between processes at a high speed in cooperation with system semaphore, a memory lock, a memory mark and sequential control. Wherein the message transmission speed between the processes is the copying speed of the memory.

Description

technical field [0001] The invention belongs to the technical field of message middleware, and relates to a message delivery method based on shared memory. Background technique [0002] Kafka was originally developed by Linkedin. It is a distributed, partition-supporting, replica-based distributed messaging system based on zookeeper coordination. Its biggest feature is that it can process large amounts of data in real time to meet Various demand scenarios: such as hadoop-based batch processing system, low-latency real-time system, storm / Spark streaming processing engine, web / nginx log, access log, message service, etc., written in scala language, contributed by Linkedin in 2010 Gave to the Apache Foundation and became a top open source project. [0003] In terms of message middleware, there are many open source products on the market, such as Kafka based on distributed and disk storage, rabbitMQ based on memory, rocketMQ, redis and so on. In most of the backend solutions a...

Claims

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Application Information

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IPC IPC(8): G06F9/54
CPCG06F9/542G06F9/544G06F9/546G06F2209/548
Inventor 石永恒王凤雷王锋平林世颖时春
Owner 江苏未来智慧信息科技有限公司
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