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Search results “Managing distributed transactions”
Distributed Transactions | Distributed Locking (Single and Distributed Lock Manager)
 
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Distributed Transactions | Distributed Locking (Single and Distributed Lock Manager) Like Us on Facebook - https://www.facebook.com/Easy-Engineering-Classes-346838485669475/ DBMS Hindi Classes Database Management System Tutorial for Beginners in Hindi Database Management System Study Notes DBMS Notes Database Management System Notes
SCPT 34: Distributed Transaction
 
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Full Course Experience Includes 1. Access to course videos and exercises 2. View & manage your progress/pace 3. In-class projects and code reviews 4. Personal guidance from your Mentors
Views: 14924 Oresoft LWC
Microservices the AWS way - Handling Distributed Transactions
 
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Microservices the AWS way - Handling Distributed Transactions In this video I cover what I found out from attending an AWS conference in Melbourne in regards to Microservice Architecture and Distributed Transactions. It was really good to get the response from the biggest cloud provider on the planet. I share their answer with you in this video (at least my understanding of it). Please comment below, as I wish to hear your thoughts on the subject.
Views: 2139 Lyrad Digital
Using sagas to maintain data consistency in a microservice architecture by Chris Richardson
 
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Subscribe to Devoxx on YouTube @ https://bit.ly/devoxx-youtube Like Devoxx on Facebook @ https://www.facebook.com/devoxxcom Follow Devoxx on Twitter @ https://twitter.com/devoxx The microservice architecture structures an application as a set of loosely coupled, collaborating services. Maintaining data consistency is challenging since each service has its own database to ensure loose coupling. To make matters worse, for a variety of reasons distributed transactions using JTA are not an option for modern applications. In this talk we describe an alternative transaction model known as a saga. You will learn about the benefits and drawbacks of using sagas. We describe how sagas are eventually consistent rather than ACID and what this means for developers. You will learn how to design and implement sagas in a Java application. Chris Richardson is a developer and architect. He is the author of POJOs in Action, which describes how to build enterprise Java applications with frameworks such as Spring and Hibernate. Chris was also the founder of the original CloudFoundry.com, an early Java PaaS for Amazon EC2. Today, he is a recognized thought leader in microservices. Chris is the creator of http://microservices.io, a website describing how to develop and deploy microservices. He provides microservices consulting and training and is working on his third startup http://eventuate.io, an application platform for developing microservices.
Views: 61286 Devoxx
Distributed Transaction Basics
 
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SQL Server  Controlling Distributed Transactions
 
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5. Controlling Distributed Transactions
Views: 3091 Eagle
How and When to Use Multi-Document Distributed Transactions
 
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Presented by MongoDB's Aly Cabral at MongoDB World 2018. Application development just got a lot easier! MongoDB 4.0 supports multi-document, multi-collection, multi-statement ACID transactions. We’ll walk through characteristics, syntax, optimization strategies, and all the guarantees transactions provide to simplify and speed up your application development. However, with great power comes great responsibility; you’ll also learn transactions aren’t always the answer. Learn how to spot dangerous usage patterns and leverage the other features of MongoDB to meet your requirements before pushing to prod.
Views: 1865 MongoDB
No compromises: distributed transactions with consistency, availability, and performance
 
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Authors: Aleksandar Dragojevic, Dushyanth Narayanan, Edmund B. Nightingale, Matthew Renzelmann, Alex Shamis, Anirudh Badam, Miguel Castro Abstract: Transactions with strong consistency and high availability simplify building and reasoning about distributed systems. However, previous implementations performed poorly. This forced system designers to avoid transactions completely, to weaken consistency guarantees, or to provide single-machine transactions that require programmers to partition their data. In this paper, we show that there is no need to compromise in modern data centers. We show that a main memory distributed computing platform called FaRM can provide distributed transactions with strict serializability, high performance, durability, and high availability. FaRM achieves a peak throughput of 140 million TATP transactions per second on 90 machines with a 4.9 TB database, and it recovers from a failure in less than 50 ms. Key to achieving these results was the design of new transaction, replication, and recovery protocols from first principles to leverage commodity networks with RDMA and a new, inexpensive approach to providing non-volatile DRAM. ACM DL: http://dl.acm.org/citation.cfm?id=2815400.2815425 DOI: http://dx.doi.org/10.1145/2815400.2815425
Distributed Transactions, Part I
 
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Systems 11a. Distributed Transactions, Part I ADUni
Views: 3858 Chao Xu
No Compromises: Distributed Transactions with Consistency, Availability, and Performance
 
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Transactions with strong consistency and high availability simplify building and reasoning about distributed systems. However, previous implementations performed poorly. This forced system designers to avoid transactions completely, to weaken consistency guarantees, or to provide single machine transactions that require programmers to partition their data. In this paper, we show that there is no need to compromise in modern data centers. We show that a main memory distributed computing platform called FaRM can provide distributed transactions with strict serializability, high performance, durability, and high availability. FaRM achieves a peak throughput of 140 million TATP transactions per second on 90 machines with a 4.9 TB database, and it recovers from a failure in less than 50 ms. Key to achieving these results was the design of new transaction, replication, and recovery protocols from first principles to leverage commodity networks with RDMA and a new, inexpensive approach to providing non-volatile DRAM.
Views: 1532 Microsoft Research
Distributed Transactions are dead, long live distributed transaction! by Sergey Bykov
 
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As "we all know", distributed transactions pretty much died with the advent of the Internet. MTS/MSDTC/J2EE books collect dust while developers of cloud services struggle programming against eventually consistent data stores. Orleans never shied away from questioning conventional wisdom. It pioneered the Virtual Actor Model that offered a compelling alternative, especially for building scalable distributed and cloud applications, to the prevailing at the time view of actors. Support for scalable distributed transactions is one of the latest innovations in Orleans that dispels popular misconceptions about them. Sergey Bykov will talk about Orleans transactions and other advanced features of the framework.
Views: 835 J On The Beach
Distributed Transactions are dead - Sergey Bykov
 
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Distributed Transactions are dead, long live distributed transactions! As "we all know", distributed transactions pretty much died with the advent of the Internet. Developers of cloud services have learned to cope with eventually consistent data stores and the Event Souring paradigm. But what to do when "eventual" is not enough? Orleans never shied away from questioning conventional wisdom. It pioneered the Virtual Actor Model that offered a compelling alternative, especially for building scalable distributed applications, to the prevailing at the time view of actors. Support for scalable distributed transactions is one of the latest innovations in Orleans that challenges popular misconceptions about them. Slides and more information: https://www.reactivesummit.org/2018/schedule/distributed-transactions-are-dead-long-live-distributed-transactions
Views: 429 Reactive Summit
Transaction in Dbms | Transaction management | Transaction and concurrency control | DBMS
 
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Views: 274724 KNOWLEDGE GATE
SQL Server DBA Tutorial 17- Configure Distributed Transaction Coordinator(DTC) in SQL Server Cluster
 
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This video shows step by step process of configuring Distributed Transaction Coordinator (DTC) in SQL Server. It talks about following 1- What is DTC Role in SQL Server clustering 2- Why is it important to create DTC Role in SQL Server clustering 3- DTC requirements in SQL Server 2005 4- DTC requirements in SQL Server 2008 and Above Blog post link for the video http://www.sqlage.blogspot.com/2015/05/how-to-configure-distributed.html Visit our website to check out SQL Server DBA Tutorial Step by Step http://www.techbrothersit.com/2014/12/sql-server-dba-tutorial.html
Views: 14586 TechBrothersIT
What is DISTRIBUTED TRANSACTION? What does DISTRIBUTED TRANSACTION mean?
 
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What is DISTRIBUTED TRANSACTION? What does DISTRIBUTED TRANSACTION mean? DISTRIBUTED TRANSACTION meaning - DISTRIBUTED TRANSACTION definition - DISTRIBUTED TRANSACTION explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ A distributed transaction is a database transaction in which two or more network hosts are involved. Usually, hosts provide transactional resources, while the transaction manager is responsible for creating and managing a global transaction that encompasses all operations against such resources. Distributed transactions, as any other transactions, must have all four ACID (atomicity, consistency, isolation, durability) properties, where atomicity guarantees all-or-nothing outcomes for the unit of work (operations bundle). Open Group, a vendor consortium, proposed the X/Open Distributed Transaction Processing (DTP) Model (X/Open XA), which became a de facto standard for behavior of transaction model components. Database are common transactional resources and, often, transactions span a couple of such databases. In this case, a distributed transaction can be seen as a database transaction that must be synchronized (or provide ACID properties) among multiple participating databases which are distributed among different physical locations. The isolation property (the I of ACID) poses a special challenge for multi database transactions, since the (global) serializability property could be violated, even if each database provides it (see also global serializability). In practice most commercial database systems use strong strict two phase locking (SS2PL) for concurrency control, which ensures global serializability, if all the participating databases employ it. (see also commitment ordering for multidatabases.) A common algorithm for ensuring correct completion of a distributed transaction is the two-phase commit (2PC). This algorithm is usually applied for updates able to commit in a short period of time, ranging from couple of milliseconds to couple of minutes. There are also long-lived distributed transactions, for example a transaction to book a trip, which consists of booking a flight, a rental car and a hotel. Since booking the flight might take up to a day to get a confirmation, two-phase commit is not applicable here, it will lock the resources for this long. In this case more sophisticated techniques that involve multiple undo levels are used. The way you can undo the hotel booking by calling a desk and cancelling the reservation, a system can be designed to undo certain operations (unless they are irreversibly finished). In practice, long-lived distributed transactions are implemented in systems based on Web Services. Usually these transactions utilize principles of Compensating transactions, Optimism and Isolation Without Locking. X/Open standard does not cover long-lived DTP. Several modern technologies, including Enterprise Java Beans (EJBs) and Microsoft Transaction Server (MTS) fully support distributed transaction standards.
Views: 1623 The Audiopedia
Distributed Transaction
 
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Distributed Transaction:- Distributed Database, Management of Distributed Database, Properties of Distributed Transactions(ACID properties)
Views: 406 Rakesh Gupta
The hardest part of microservices is your data
 
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Hear from Christian Posta, Principal Architect, Red Hat in this breakout session at Red Hat Summit 2017. One of the tenants of microservices, and a way to minimize dependencies, is that “a service should own its own database.” This is easier said than done. Why? Because: your data. In working with data in information systems for 5 decades, application developers have accepted the practice of using relational databases and relying on all of their safety guarantees. But, as we build services architectures that span more than one database by design (as with microservices), things get harder. How do we synchronize data across databases, especially heterogeneous data? Developing for the traditional enterprise, we have to build fast-changing systems that are surrounded by legacy systems with complicated domains like finance, insurance, and retail. So, how do we develop and reason about the boundaries in our system to reduce complexity in the domain? In this session, we’ll explore these problems and see how domain driven design (DDD) helps grapple with the domain complexity. We’ll see how DDD concepts like entities and aggregates help us understand boundaries—based on use cases and how transactions are affected. With transactional boundaries, we can more carefully adjust our needs from the CAP theorem to scale out and achieve autonomous systems with eventual strictly ordered consistency. We’ll see how technologies like Apache Kafka, Apache Camel, and Debezium.io can help build the backbone for these types of systems. And finally, we’ll look at a working example that brings all of this together. https://www.redhat.com/en/summit/2017/agenda/session
Views: 86550 Red Hat Summit
Lost in transaction? Strategies to deal with (in-)consistency in distributed systems - Bernd Rücker
 
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You probably work on a distributed system. Even if you don’t yet face a serverless microservice architecture using fancy NoSQL databases, you might simply call some remote services via REST or SOAP. This leaves you in charge of dealing with consistency yourself. ACID transactions are only available locally within components and protocols like two-phase commit don’t scale. Many projects either risk adventurous inconsistencies or write a lot of code for consistency management in the application layer. In this talk Bernd discusses these problems and goes over possible solutions, including the Saga-Pattern. Bernd will discuss recipes, patterns and frameworks that allow us to manage the right level of consistency but concentrate on the business logic. Expect fun little live hacking sessions with open source components, but also real-life stories.
Transactions in sql server   Part 57
 
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In this video we will learn about transaction processing in sql server. These concepts are applicable to sql server 2000, 2005 an 2008 Text version of the video http://csharp-video-tutorials.blogspot.com/2012/10/transactions-in-sql-server-part-57.html Slides http://csharp-video-tutorials.blogspot.com/2013/09/part-57-transactions-in-sql-server.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 168536 kudvenkat
Distributed Transactions
 
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Fangming Chai & Eddie Ruan, Cisco
PWLSF - 1/2016 - Henry Robinson on "No compromises: distributed transactions with consistency.."
 
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Mini Bryan Fink on "Fluctuations of Hi-Hat Timing and Dynamics in a Virtuoso Drum Track of a Popular Music Recording" (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0127902) Slides: https://t.co/tjHBwdx5EB Bryan's Bio: Bryan hacks distributed systems by day, and does almost anything else by night. His interests in percussion and computers began nearly coincidentally over twenty years ago in a small town on the Great Plains. The combination has led to him having strange thoughts about time and coordination. Main Talk Henry Robinson from Cloudera will present the paper "No compromises: distributed transactions with consistency, availability, and performance" (http://sigops.org/sosp/sosp15/current/2015-Monterey/printable/227-dragojevic.pdf ) Slides: https://speakerdeck.com/paperswelove/2016-henry-robinson-on-no-compromises-distributed-transactions-with-consistency Henry's Bio Henry is an engineer at Cloudera, where he has worked for six years on a wide variety of distributed systems. He currently works full-time on Impala, a SQL query engine for data stored in HDFS. Before Cloudera, he worked on ad-hoc networking at Cambridge University. He writes infrequently about databases and distributed systems at http://the-paper-trail.org/ Meetup event: http://www.meetup.com/papers-we-love-too/events/225730003/
Views: 679 PapersWeLove
Distributed Transaction - Georgia Tech - Advanced Operating Systems
 
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Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud189/l-485538681/m-483628618 Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud189 Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Views: 3609 Udacity
Lightning Talk - How to do distributed transactions with Akka.NET - Andrew Skotzko
 
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Andrew Skotzko http://lanyrd.com/2015/dotnetfringe/sdmftq/
Concurrency Control - Lock Based Protocol in DBMS Transaction Management
 
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DBMS Tutorial in English, Hindi - Concurrency Control - Lock Based Protocol in DBMS Transaction Management for students of IP University Delhi and Other Universities, Engineering, MCA, BCA, B.Sc, M.Sc Colleges.
Views: 236457 Easy Engineering Classes
Part 21   Transactions in ADO NET
 
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c# transaction operation c# transaction rollback on exception c# transaction try catch c# transaction using rollback In this video we will discuss how to implement Transactions in ADO.NET What is a Transaction A Transaction ensures that either all of the database operations succeed or all of them fail. This means the job is never half done, either all of it is done or nothing is done. Let's understand this with an example. When we click "Transfer $10 from Account A1 to Account A2" button, we should subtract 10 from A1 account and add 10 to A2 account. So there will be 2 database UPDATE statements. What do you think will happen if only the first update statement is executed successfully and not the second statement. $10 is deducted from the first account, but not added to the second account. This is definitely not desirable. Either both the statements should succeed or both of them should fail. If one succeeds and other fails we should also rollback the changes made by the first statement to maintain the integrity of the data. This can be achieved using transactions in ado.net. namespace Demo { public partial class WebForm1 : System.Web.UI.Page { protected void Page_Load(object sender, EventArgs e) { if (!IsPostBack) { GetAccountsData(); } } private void GetAccountsData() { string cs = ConfigurationManager.ConnectionStrings["CS"].ConnectionString; using (SqlConnection con = new SqlConnection(cs)) { SqlCommand cmd = new SqlCommand("Select * from Accounts", con); con.Open(); SqlDataReader rdr = cmd.ExecuteReader(); while (rdr.Read()) { if (rdr["AccountNumber"].ToString() == "A1") { lblAccountNumber1.Text = "A1"; lblName1.Text = rdr["CustomerName"].ToString(); lblBalance1.Text = rdr["Balance"].ToString(); } else { lblAccountNumber2.Text = "A2"; lblName2.Text = rdr["CustomerName"].ToString(); lblBalance2.Text = rdr["Balance"].ToString(); } } } } protected void btnTransfer_Click(object sender, EventArgs e) { string cs = ConfigurationManager.ConnectionStrings["CS"].ConnectionString; using (SqlConnection con = new SqlConnection(cs)) { con.Open(); // Begin a transaction. The connection needs to be open before we begin a transaction SqlTransaction transaction = con.BeginTransaction(); try { // Associate the first update command with the transaction SqlCommand cmd = new SqlCommand("Update Accounts set Balance = Balance - 10 where AccountNumber = 'A1'", con, transaction); cmd.ExecuteNonQuery(); // Associate the second update command with the transaction cmd = new SqlCommand("Update Accounts set Balance = Balance + 10 where AccountNumber = 'A2'", con, transaction); cmd.ExecuteNonQuery(); // If all goes well commit the transaction transaction.Commit(); lblMessage.ForeColor = System.Drawing.Color.Green; lblMessage.Text = "Transaction committed"; } catch { // If anything goes wrong, rollback the transaction transaction.Rollback(); lblMessage.ForeColor = System.Drawing.Color.Red; lblMessage.Text = "Transaction rolled back"; } } GetAccountsData(); } } } Testing : Run the apllication and click the "Transfer $10 from Account A1 to Account A2" button. Notice that $10 is deducted from Account A1 and added to Account A2 and the transaction is committed. Text version of the video http://csharp-video-tutorials.blogspot.com/2014/09/part-21-transactions-in-adonet.html Slides http://csharp-video-tutorials.blogspot.com/2014/09/part-21-transactions-in-adonet_29.html All ADO .NET Text Articles http://csharp-video-tutorials.blogspot.com/p/free-adonet-video-tutorial.html All ADO .NET Slides http://csharp-video-tutorials.blogspot.com/p/adonet-slides.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 52849 kudvenkat
SCPT 34 : Distributed Transaction
 
09:40
A distributed transaction is a database transaction in which two or more network hosts are involved. Usually, hosts provide transaction resources, while the transaction manager is responsible for creating and managing a global transaction that encompasses all operations against such resources.
Building consistent transactions with inconsistent replication
 
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Authors: Irene Zhang, Naveen Kr. Sharma, Adriana Szekeres, Arvind Krishnamurthy, Dan R. K. Ports Abstract: Application programmers increasingly prefer distributed storage systems with strong consistency and distributed transactions (e.g., Google's Spanner) for their strong guarantees and ease of use. Unfortunately, existing transactional storage systems are expensive to use -- in part because they require costly replication protocols, like Paxos, for fault tolerance. In this paper, we present a new approach that makes transactional storage systems more affordable: we eliminate consistency from the replication protocol while still providing distributed transactions with strong consistency to applications. We present TAPIR -- the Transactional Application Protocol for Inconsistent Replication -- the first transaction protocol to use a novel replication protocol, called inconsistent replication, that provides fault tolerance without consistency. By enforcing strong consistency only in the transaction protocol, TAPIR can commit transactions in a single round-trip and order distributed transactions without centralized coordination. We demonstrate the use of TAPIR in a transactional key-value store, TAPIR-KV. Compared to conventional systems, TAPIR-KV provides better latency and throughput. ACM DL: http://dl.acm.org/citation.cfm?id=2815400.2815404 DOI: http://dx.doi.org/10.1145/2815400.2815404
Distributed Transactions, Part II
 
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Systems 11b. Distributed Transactions, Part II ADUni
Views: 931 Chao Xu
Distributed .NET Core (DShop) - Episode 8 [Distributed transactions, 2PC, Event Choreography, Saga]
 
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In the eighth episode, we focus on the distributed transactions - starting from 2PC, through Event Choreography and eventually Saga and Process Managers. We do implement such transaction using the Chronicle library, that deals with order creation in DShop. Website: https://devmentors.io Repository: https://github.com/devmentors/DNC-DShop Gitter: https://gitter.im/devmentors-io/DShop Forum: https://forum.devmentors.io
Views: 2544 Dev Mentors
Distributed Transaction - An Introduction
 
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Part of the course CES-27 and CE-288 - Distributed Programming, given at ITA
Views: 7033 Celso Hirata
Lecture - 26 Concurrency Control for Distributed Transaction
 
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Lecture Series on Database Management System by Prof.D. Janakiram, Department of Computer Science and Engineering,IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 33730 nptelhrd
Spring Transactions tutorial part 1| Spring framework transactions Introduction|Java9s
 
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Download the PPT from http://java9s.com/spring-framework/spring-transactions-tutorial Spring Transactions explained in a detailed manner. This is Introduction to Transactions and Spring Transactions. This video explains the importance of transactions and how spring transactions play a vital role in replacing EJB in offering programmatic and Declarative transaction management. I have also explained about the attributes of the transactions - Propagation, Isolation, Read only, timeout, Rollback strategies.
Views: 92883 java9s
40 Distributed Transaction in MicroService WCF in Arabic
 
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with Arabic content by easy way to learn شرح بالعربي
Calvin: Fast Distributed Transactions for Partitioned Database Systems
 
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Calvin: Fast Distributed Transactions for Partitioned Database Systems
Views: 1003 Rain ^^
Bringing Distributed Transactions to HBase - Alex Baranau
 
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ApacheCon North America 2014
Views: 531 TheApacheFoundation
Lost in Transaction - Strategies to deal with consistency in distributed systems (QCon London 2019)
 
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Recording from my talk at QCon London on 4th of March 2019. You can find more information here: https://berndruecker.io/lost-in-transaction/ Abstract: You probably work on a distributed system. Even if you don't yet face a serverless microservice architecture using fancy NoSQL databases, you might simply call some remote services via REST or SOAP. This leaves you in charge of dealing with consistency yourself. ACID transactions are only available locally within components and protocols like two-phase commit don’t scale. Many projects either risk adventurous inconsistencies or write a lot of code for consistency management in the application layer. In this talk I discuss these problems and go over possible solutions, including the Saga-Pattern. I will discuss recipes and frameworks that ease the management of the right level of consistency. This allows you write business logic code. Expect fun little live hacking sessions with open source components, but also real-life stories.
Views: 220 Bernd Rücker
Distributed Transaction - Recovery in centralized systems
 
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The topic Recovery in centralized systems is fundamental to understand ditributed transaction recovery
Views: 209 Celso Hirata
The Future of Event-driven Microservices with Spring Cloud Stream by Kenny Bastani
 
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When you’re building microservices, managing state becomes a distributed systems problem. Instead of being able to manage state as transactions inside the boundaries of a single monolithic application, a microservice must be able to manage consistency by using transactions that are distributed across a network of many different applications and databases. Event-driven architectures are a key component of solving data consistency issues in microservices. This session explores the problems of data consistency in microservices and the various event-driven practices that include CQRS and Event Sourcing. We will look at how these popular practices are implemented using Spring Boot and Spring Cloud Stream.
Views: 7763 Devoxx Poland
Pat Helland and Me: How to Build Stateful Distributed Applications That Can Scale Almost Infinitely
 
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In 2007, Pat Helland published “Life Beyond Distributed Transactions: An Apostate’s Opinion,” in which he conducts a thought experiment on how to design a distributed database that can scale almost infinitely. While the paper explicitly addresses distributed database design, Sean T. Allen shows that the ideas are far more widely applicable, particularly in scaling stateful applications. Sean explores some of Helland’s ideas through practical examples from his experience building data processing systems using tools like Apache Storm and, more recently, developing a stateful distributed stream processor at Wallaroo Labs. Learn more at https://github.com/seantallen/pat-helland-and-me
Views: 136 Sean T. Allen
Distributed Database Recovery | Two Phase and Three Phase Commit Protocol
 
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Distributed Database Recovery | Two Phase and Three Phase Commit Protocol Like Us on Facebook - https://www.facebook.com/Easy-Engineering-Classes-346838485669475/ DBMS Hindi Classes Database Management System Tutorial for Beginners in Hindi Database Management System Study Notes DBMS Notes Database Management System Notes
Distributed Database
 
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Managing Distributed Database in SQL Server.
Rubén Pérez "Tackling transactions in a Microservices application"
 
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ACID transactions in a monolithic application are a great, powerful and simple tool, that helps us guaranteeing data consistency inside our application. But... what happens when we move from monolithic applications to distributed systems? We don't have ACID transactions in a big database anymore, and there is also a choice to make regarding the CAP theorem. But... is all hope lost? Or can we still somehow have transactions across service boundaries? In this talk we will try to understand that complexity, see some alternatives, and how the *SAGA pattern *comes to the rescue here.
Views: 112 Commit Conf
GOTO 2015 • Applying the Saga Pattern • Caitie McCaffrey
 
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This presentation was recorded at GOTO Chicago 2015. #gotocon #gotochgo http://gotochgo.com Caitie McCaffrey - Distributed Systems Diva at Twitter ABSTRACT As we build larger more complex applications and solutions that need to do collaborative processing the traditional ACID transaction model using coordinated 2-phase commit is often no longer suitable. More frequently [...] Download slides and read the full abstract here: http://gotocon.com/chicago-2015/presentation/Applying%20the%20Saga%20Pattern https://twitter.com/gotochgo https://www.facebook.com/GOTOConference http://gotocon.com #DistributedSystems #SagaPattern
Views: 83260 GOTO Conferences
Distributed .NET Core (DShop) - Episode 7 [Handling asynchronous requests, SignalR, Polly]
 
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In the seventh episode, we talk about correlation context and how to handle the asynchronous requests. In order to provide real-time status updates of the ongoing operations, we make use of SignalR. We also talk about resiliency by using Polly library. Website: https://devmentors.io Repository: https://github.com/devmentors/DNC-DShop Gitter: https://gitter.im/devmentors-io/DShop Forum: https://forum.devmentors.io
Views: 2931 Dev Mentors
Distributed Transactions with WCF and async/await problem (Windows Communication Foundation)
 
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StackOverflow: http://stackoverflow.com/questions/34767978/ Subscribe http://bit.ly/1NNmT4J Twitter https://twitter.com/ajtowf Facebook https://www.facebook.com/towfeek.se Pluralsight http://www.pluralsight.com/author/ajden-towfeek
Views: 1995 Ajden Towfeek