Redis. Performance on custom searches. Production screw up
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Compare redis queries performance similar to SQL selects. Learnt hard by example on production code problems
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The document provides an overview of Redis, including:
1) Redis is an in-memory key-value store that allows users to store common data types like strings, lists, hashes and sets as values associated with a key.
2) Redis is free, fast, easy to install, and scales well as more data is inserted or operations are performed.
3) Redis can be used for caching, queues, analytics, and publish-subscribe systems to build applications that respond quickly even under heavy loads.
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- Major companies like Twitter, GitHub, and Pinterest use Redis for its speed and support for complex data types.
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Redispresentation apac2012
The document provides an overview of Redis, including:
1) Redis is an in-memory key-value store that allows users to store common data types like strings, lists, hashes and sets as values associated with a key.
2) Redis is free, fast, easy to install, and scales well as more data is inserted or operations are performed.
3) Redis can be used for caching, queues, analytics, and publish-subscribe systems to build applications that respond quickly even under heavy loads.
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- Redis is an in-memory database that supports data structures like strings, lists, sets, and hashes. It is often used for caching, messaging, and building real-time applications.
- Major companies like Twitter, GitHub, and Pinterest use Redis for its speed and support for complex data types.
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Redis is a fast, in-memory key-value store that can be used as a cache, message broker, and centralized locking system. It stores data in memory for high performance, but can also asynchronously write data to disk for persistence. Redis supports data types like strings, lists, sets and sorted sets. It enables high availability through master-slave replication and horizontal scaling through sharding of data across multiple nodes.
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原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
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1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
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Literature Review Basics and Understanding Reference Management.pptx
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
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The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
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Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Recycled Concrete Aggregate in Construction Part II
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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rock mass characterization and New techniques for characterising damage in rock slopes
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
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our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
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Redis. Performance on custom searches. Production screw up
- 1. Piotr Wasiak, PRUG 10.2023 In memory, key-value store
- 2. NoSQL • called also Non Relational • NoSQL systems are also sometimes called "Not only SQL" • SQL syntax is not supported
- 3. Redis What for? • Cache • Storing noSQL data (structures) • Background jobs data in queues
- 4. Why Redis is one of the top noSQL db? • Fast • Proven technology • Well community among many programming languages • Data structures in values
- 5. Kredis and data structures
- 6. Kredis and data structures
- 8. Persistance? What happen when we restart Redis server? • by default there is no data anymore • you can have non structured dump to fi le to restore on crash/restart
- 9. Screw-up Custom Redis usage • We have events in system • We have to send webhooks on: • event start • event end
- 10. Screw-up Custom Redis usage • On event add (and in failover job) • Set enqueued job_ids in Redis with keys: • "ac_noti fi cations.start.1244" • "ac_noti fi cations.end.1244" • On event postpone, get from redis job_ids, delete them from sidekiq queue and repeat above procedure after create callback • After Redis restart we have also a job to ensure that future events will be re-enqueued if no entries in Redis
- 11. Custom Key Search on Redis • Redis.keys •
- 13. Custom Key Search on Redis • Redis.keys • Redis.scan_each(match: "ac_noti fi cations.??*.1244") •
- 15. Redis tests Redis in separate docker component
- 16. Redis tests Redis in separate docker component
- 17. Redis tests Redis in separate docker component
- 18. Custom Key Search on Redis • Redis.keys • Redis.scan_each(match: "ac_noti fi cations.??*.1244") • Multiple gets • Redis.get 'ac_noti fi cations.start.1244' => job_id_10 • Redis.get 'ac_noti fi cations.end.1244' => job_id_10
- 20. Rails creator DHH about Redis
- 22. Why to use DB for caching? From DHH keynote • Disk space is 10x more cheaper than RAM (using Redis) • Cache life time can be months (we can have persistent Redis also, but not such big as DB) • Sharding (not trivial for Redis) • 1 less process if you already use disk DB • Is multithreaded in comparison to Redis :D • Why not ? • it's slower 0,5 times than Redis
- 23. Sources • Rails World opening DHH Ketnote • https://dev.to/molly/how-to-safely-navigate-redis-with-ruby-j9l • Transactions in Redis (Go example)