seastar
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Memory management in a seastar application is a very important topic, as seastar applications are usually long running server applications that want to maximize the usage of memory as well as be resilient to memory fragmentation.
Add a section on this to the docs/tutorial.md based on the lessons we learned at ScyllaDB. In a nutshell: when large buffers are needed prefer storing data in a chunke
- We should build the redis result directly, instead of building over the `query_result_builder.
- For the lists commands, such as `lrange, we do not read all the clustering row of the paritition.
the rpc_server should have 2 seastar::ipv4_addr structs, one for http and one for rpc.
There should be no implicit addr 's in codebase. i.e.: :::0
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Feb 19, 2018
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Feb 19, 2018
BigSort is sample that leverage on the seastar framework to perform sort of big files that cannot be handled in the main memory
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Feb 28, 2019 - C++
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Currently, there are no clear guidelines for determining when to log messages and what category to give them. We need to address the following, to begin with: