This could be due to database locking, or a badly designed statement, for example a query which needs to access thousands or millions of rows. There is clearly something else going on. Processing one messages and commit should take about 10 milliseconds or less( say 30 ms for a two phase commit). Current system take around 500ms for processing of 1 message after it read from queue and till it commit. Max number of messages can be processed? or throttle limitĪ good meaty performance question I thought.I want to know how many messages I can consume I have a standalone multi threaded java application which listen messages from IBM MQ.Ĭurrent system take around 500ms for processing of 1 message after it read from queue and till it commit. According to Prashanth Chandrasekar, CEO of Stack Overflow, the purpose of OverflowAI is to enhance the community in a variety of ways rather than to completely replace them.There was a question on the MQ section on StackOverflow The community-based question and answer forums are the lifeblood of Stack Overflow. Stack Overflow's Natural Language Processing (NLP) Collective introduces "Discussions" for focused debates, sharing insights, and facilitating informed decision-making. AI Community Discussions: Access unbiased technology resources and expert insights through the GenAI Stack Exchange, which focuses on knowledge sharing for generating prompts for GenAI tools and broader AI/ML topics.This functionality expands queries to tap into the knowledge base for more personalized and relevant results, as well as follow-up inquiries. Drawing from trusted data originating from over 58 million Stack Overflow Q&A entries, responses can be attributed and cited. OverflowAI Search: Public platform users gain access to rapid and reliable answers through GenAI-powered search.The integration leverages community-validated sources while safeguarding a company's sensitive data.
#Java queue example stackoverflow code
OverflowAI Visual Studio Code Extension: Recognizing that developers spend a significant amount of time in their integrated development environments (IDEs), Stack Overflow ensures a seamless workflow.This includes trusted sources such as Stack Overflow for Teams, the public Stack Overflow platform, and customer repositories like Confluence and GitHub, with plans to integrate additional sources in the future. Enhanced Search Capabilities with OverflowAI: Teams using Stack Overflow can quickly access precise answers and learning resources.AI/ML technologies assist in generating initial tags and suggesting question-answer pairs, enabling developers to focus on enhancing and ensuring accuracy. OverflowAI Enterprise Knowledge Ingestion: Utilizing OverflowAI, users of Stack Overflow for Teams can efficiently build a knowledge repository by leveraging trusted existing content.The OverflowAI initiative consists of a number of projects, including: Stack Overflow is putting all this work under the umbrella of OverflowAI. Stack Overflow announced the roadmap for the integration of generative AI into their public platform, Stack Overflow for Teams, and brand new product areas, like an IDE integration that brings the vast knowledge of 58 million questions and answers from their community right into the area where developers find focus and get work done.
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