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[...] When building a database which has a big deal of ranged queries, it might be extremely helpful to have clustered index support. Let say, you keep a table of [...]
[...] and events. What is inbox? It is a sorted collection of items. Items are accessed using ranged queries. This caused huge IO overhead on Postgres, because of lack of clustered indexes. All " [...]
[...] While our code develops and user base grows, we need to adjust our server hardware to be cheap and powerful enough to handle the load. Here is the timeline: up to autumn 2008: [...]
[...] for CPU hour. Good. But you have to use the CPU through the API. When I tried to upload my 1 GB database to AppEngine, it took some hours of real time and some days of AppEngine CPU time. It cost me [...]
[...] -Xms to 12 GB means that this memory is not going to be used for your actual data. Cassandra accesses data via mmap, and mmap only accesses data in system page cache. Which is shrinked by 12 GB ( [...]
[...] modified data to be stored in actual table structures. Before the checkpoint happens, WAL guarantees data durability. If you have some frequently modified row, it is checkpointed each time. If [...]
[...] (SelfJid, AuthJid, IQGet, F), receive #iq{type = result} -> true; Other -> ?INFO_MSG("Auth IQ for ~s failed: ~p", [User, Other]), false end. profile1.server.com is a JID of the auth [...]
I've created an Ubuntu DEB package for flashpolicytwistd - a simple Flash Policy Server written in Python/Twisted. This simplifies installation proces [...]
[...] I've created an Ubuntu DEB package for flashpolicytwistd - a simple Flash Policy Server written in Python/Twisted. This [...]
Cassandra is not mature. I discovered data corruption errors in 0.6. I found nothing that could help me to fix this and I decided to migrate to 0.7 ho [...]
[...] When building a database which has a big deal of ranged queries, it might be extremely helpful to have clustered index support. Let say, you keep a table of [...]
[...] and events. What is inbox? It is a sorted collection of items. Items are accessed using ranged queries. This caused huge IO overhead on Postgres, because of lack of clustered indexes. All " [...]
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Kpoxit
I'll share some bits of IT knowledge here: CScience, WEB, Networking, Python, C++, Unix, Linux, Ubuntu, etc.