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Assorted Rants Tagged ‘Database’, page 2:

Scaling Stateful Objects

Quote: “it is DB which is usually The Bottleneck™ – it means that we’re saving this enormous amount of load, exactly where it really matters.”
Another Quote: “as discussed above, the real-world task is always about scaling the whole system, including database; and in this regard Stateless-App-based systems exhibit significant problems.”
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Databases and RAIDs

Quote: “for quite a few applications out there, the most important feature of the RAID is not even redundancy, but greatly improved write latency. Moreover – this is the thing which we cannot possibly get from software RAID (!).”
Another Quote: “As a rule of thumb – I am trying to keep the size of OLTP DB small enough to fit into RAM of the OLTP DB Server.”
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Indirect and Client-Centric Payment Processing. Logging and Reconciliation

Quote: “Fortunately, there is a neat crypto-trick which makes this schema usable for Server-oriented games in general – and multi-player games in particular”
Another Quote: “if you’re using TCP to communicate, you should log everything right before it goes into your send() call (and right after it comes out of your recv() call”
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Direct Payment Processing. Recovery from ‘Unknown’ Transaction Status. PCI DSS.

Quote: “With the Direct Processing, customer should trust us (the merchant) with their details”
Another Quote: “On the other hand, most of PCI DSS requirements make perfect sense regardless of formal compliance”
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Payment Processing. Credit Cards. Chargebacks and Collateral Damage

Quote: “Chargeback monster will come from under the bed and will eat all your hard-earned money!”
Another Quote: “it is trivial to develop a system with guaranteed zero chargeback rate – to achieve this, it is sufficient to decline each and every transaction at pre-filter stage”
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Gradual OLTP DB Development – from Zero to 10 Billion Transactions per Year and Beyond

Quote: “to make an efficient representation usable for OLAP – we need to modify our data on its way to OLAP replicas”
Another Quote: “Each of the DB Server Apps is a replica master, but all replica targets are within the same Replica DB”
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Representing The Same Data Structure in SQL and NoSQL (from Classical Codd-style SQL to Key-Value NoSQL with SQL-with-XML and Structured NoSQL in between)

Quote: “while duplication MAY indeed improve performance – undue duplication also MAY hit performance pretty badly”
Another Quote: “NoSQL will usually call for another denormalisation on top of what we’ve described above for SQL-with-XML.”
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