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How do you achieve transactions when dealing with two different databases?

Posted on September 2, 2021 by Author

Table of Contents

  • 1 How do you achieve transactions when dealing with two different databases?
  • 2 How do you manage transactions in a database?
  • 3 How hibernate handle multiple transactions?
  • 4 Can you merge databases?
  • 5 How do you manage transactions?
  • 6 Why is two phase commit necessary for distributed database transactions?
  • 7 What is the best way to run two databases at once?
  • 8 What are the disadvantages of using a transaction across multiple acid resources?

How do you achieve transactions when dealing with two different databases?

If your data is distributed across multiple databases, you may wish to update one database while reading from one or more other databases. This type of access can be performed within a single unit of work (transaction). This type of database access is called multisite update or two-phase commit.

How do you integrate multiple databases?

Merge Multiple Databases into a Single Database

  1. Create several smaller databases containing the core data tables.
  2. Merge the smaller databases into a single larger database.
  3. Build the schema/add the relevant constraints.

How do you manage transactions in a database?

Transaction Management in DBMS

  1. Read your account balance.
  2. Deduct the amount from your balance.
  3. Write the remaining balance to your account.
  4. Read your friend’s account balance.
  5. Add the amount to his account balance.
  6. Write the new updated balance to his account.

What is cross database transactions?

A Cross database transaction occurs between 2 or more databases on the same server. It does not require the involvement of a DTC (Distributed Transaction Coordinator) A Distributed database transaction occurs between 2 or more databases hosted on multiple servers.

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How hibernate handle multiple transactions?

Therefore, you can run multiple transactions on the same Hibernate Session, but there’s a catch. Once an exception is thrown you can no longer reuse that Session. My advice is to divide-and-conquer. Just split all items, construct a Command object for each of those and send them to an ExecutorService#invokeAll .

What is the best way to perform transaction management when multiple Microservices are involved?

Microservices guidelines strongly recommend you to use the Single Repository Principle(SRP), which means each microservice maintains its own database and no other service should access the other service’s database directly. There is no direct and simple way of maintaining ACID principles across multiple databases.

Can you merge databases?

Database merging is a two-task process: selecting a database and selecting the priority data and format. Important: Only fields with the same name and data type can be combined, and other field data may not be included. Your original databases are not changed by the merge and remain in the table of databases.

How would you integrate multiple data sources and databases into one system?

Integrating Data from Multiple Data Sources

  1. Use the Data Services Palette to add physical and logical data service functions to a logical data service, thereby accessing data from multiple sources.
  2. Join data services by connecting source elements, thereby integrating data from multiple sources.
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How do you manage transactions?

  1. Begin the transaction using begin transaction command.
  2. Perform various deleted, update or insert operations using SQL queries.
  3. If all the operation are successful then perform commit otherwise rollback all the operations.

When multiple transactions are in progress?

When multiple transactions are in progress, one transaction may want to read the same data another transaction has changed but not committed. Until the transaction commits, the changes it has made should be treated as transient state, because the transaction could roll back the change.

Why is two phase commit necessary for distributed database transactions?

A two-phase commit is a standardized protocol that ensures that a database commit is implementing in the situation where a commit operation must be broken into two separate parts. In database management, saving data changes is known as a commit and undoing changes is known as a rollback.

What is Msdtc service in SQL Server?

MSDTC (aka Microsoft Distributed Transaction Control) is a piece of software that a lot of people use, but they don’t really know what it does, or how it works. MSDTC is used by SQL Server and other applications when they want to make a distributed transaction between more than one machine.

What is the best way to run two databases at once?

If, however, you just mean two databases within the same DB server, then vanilla JDBC transactions should work just fine, just perform your operations against both databases within a single transaction. In this case you would need a Transaction Monitor (server supporting XA protocol) and make sure your databases supports XA also. Most (all?)

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Is it possible to run a 2 phase transaction in sqlServer?

Yes. e.g. provided that all databases are configured accordingly, you will be able to conduct a 2 phase transaction across SqlServer, Oracle and an MQSeries queue. When communicating with non-Windows tech stack (e.g. to Oracle hosted on *nix server), you’ll likely need to configure XAon your originating .Net server(s).

What are the disadvantages of using a transaction across multiple acid resources?

Maintaining a transaction across multiple ACID resources will invariably maintain locks on these resources, until the transaction is committed or rolled back. This often doesn’t make for good neighbourliness in a high volume enterprise, so be sure to consider the consequences of the locking.

What is the Order of transactions in a DBTL?

The order of transactions in a DBTL determines the serializability order of the whole database system, including the global order dictated by the GTM. A log sequence number (LSN) is assigned to each log entry. LogPlayer: This component sends log entries, in sequence, to the backend storage servers for them to apply the updates.

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