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Changes made: * Avoid "encoding/json" for JSON processing, and instead use "github.com/go-json-experiment/json/jsontext". Use jsontext.Value.IsValid for validation, which is much faster. Use jsontext.AppendQuote instead of our own JSON escaping. * In drainPending, use a different maxLen depending on lowMem. In lowMem mode, it is better to perform multiple uploads than it is to construct a large body that OOMs the process. * In drainPending, if an error is encountered draining, construct an error message in the logtail JSON format rather than something that is invalid JSON. * In appendTextOrJSONLocked, use jsontext.Decoder to check whether the input is a valid JSON object. This is faster than the previous approach of unmarshaling into map[string]any and then re-marshaling that data structure. This is especially beneficial for network flow logging, which produces relatively large JSON objects. * In appendTextOrJSONLocked, enforce maxSize on the input. If too large, then we may end up in a situation where the logs can never be uploaded because it exceeds the maximum body size that the Tailscale logs service accepts. * Use "tailscale.com/util/truncate" to properly truncate a string on valid UTF-8 boundaries. * In general, remove unnecessary spaces in JSON output. Performance: name old time/op new time/op delta WriteText 776ns ± 2% 596ns ± 1% -23.24% (p=0.000 n=10+10) WriteJSON 110µs ± 0% 9µs ± 0% -91.77% (p=0.000 n=8+8) name old alloc/op new alloc/op delta WriteText 448B ± 0% 0B -100.00% (p=0.000 n=10+10) WriteJSON 37.9kB ± 0% 0.0kB ± 0% -99.87% (p=0.000 n=10+10) name old allocs/op new allocs/op delta WriteText 1.00 ± 0% 0.00 -100.00% (p=0.000 n=10+10) WriteJSON 1.08k ± 0% 0.00k ± 0% -99.91% (p=0.000 n=10+10) For text payloads, this is 1.30x faster. For JSON payloads, this is 12.2x faster. Updates #cleanup Updates tailscale/corp#18514 Signed-off-by: Joe Tsai <joetsai@digital-static.net> |
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logtail.go | ||
README.md |
Tailscale Logs Service
This github repository contains libraries, documentation, and examples for working with the public API of the tailscale logs service.
For a very quick introduction to the core features, read the API docs and peruse the logs reprocessing example.
For more information, write to info@tailscale.io.