Deadlocks In Apache Ignite

Prachi Garg discusses Deadlock-Free Transactions in Apache Ignite:

When transactions in Ignite are performed with concurrency mode -OPTIMISTIC and isolation level -SERIALIZABLE, locks are acquired during transaction commit with an additional check allowing Ignite to avoid deadlocks. This also prevents cache entries from being locked for extended periods and avoids “freezing” of the whole cluster, thus providing high throughput. Furthermore, during commit, if Ignite detects a read/write conflict or a lock conflict between multiple transactions, only one transaction is allowed to commit. All other conflicting transactions are rolled back and an exception is thrown, as explained in the section below.

This sounds pretty similar to how SQL Server’s In-Memory OLTP works.

Related Posts

Testing an Event-Driven System

Andy Chambers takes us through how to test an event-driven system: Each distinct service has a nice, pure data model with extensive unit tests, but now with new clients (and consequently new requirements) coming thick and fast, the number of these services is rapidly increasing. The testing guardian angel who sometimes visits your thoughts during […]

Read More

Processing Fixed-Width Files with Spark

Subhasish Guha shows how you can read a fixed-with file with Apache Spark: A fixed width file is a very common flat file format when working with SAP, Mainframe, and Web Logs. Converting the data into a dataframe using metadata is always a challenge for Spark Developers. This particular article talks about all kinds of […]

Read More

Categories

September 2016
MTWTFSS
« Aug Oct »
 1234
567891011
12131415161718
19202122232425
2627282930