Kafka was developed at LinkedIn for collecting & delivering high volume of log data with low latency. The paper dives into the design of Kafka…
Paper Notes: Scaling Memcache at Facebook
As part of this post we will be looking into the paper Scaling memcache at Facebook and try to understand the challenges Facebook faced while…
Transactions: Serializable Snapshot Isolation
Working with various isolation levels, we have seen a compromise being done between getting things correct and getting things fast. It feels like being stuck…
Transactions: Two-phase Locking
Two-phase locking(2PL for short) is one of the most well-known algorithm for serializability. Note that it is totally different concept from two-phase commit even though…
Transactions: Introduction to serializability techniques
So far we have seen various problems that arise with concurrent transactions and how different approaches try to tackle them(and sometimes fail). The major issue with…
Transactions: Write skew & why we need serialization?
Up until now we have seen various problems that can arise due to concurrent request for both read as well as write access of a…
Transactions: Tackling lost updates
As part of read committed isolation and snapshot isolation, we primarily focussed on tactics to ensure correctness of reads in a concurrent transactional system. But…
Transactions: Snapshot Isolation
In our previous post we covered read committed isolation level. Read committed isolation level ensures that: We cannot perform reads across transactions It prevents dirty…
Transactions: Read committed isolation
Ensuring that each resource is accessed and modified by a single user at a time is very complex on the application layer. This is why…
Transactions: Atomicity & Isolation
In last post, we saw the use case of why we need transactions to maintain a consistent state of our storage system. A database is…