Setup Neovim in a New MacBook Pro M2
youtube.com1 pointsby edsiper22 comments
ts="2019-03-18 22:48:32.990" event="Request started" http_method=POST http_path=/v1/charges request_id=req_123
the main difference is that you make easier the parsing since many tools can parse lOgfmt without problems. ts="2019-03-18 22:48:32.990" event="Request started" http_method=POST http_path=/v1/charges request_id=req_123
ts="2019-03-18 22:48:32.991" event="User authenticated" auth_type=api_key key_id=mk_123 user_id=usr_123
ts="2019-03-18 22:48:32.992" event="Rate limiting ran" rate_allowed=true rate_quota=100 rate_remaining=99
ts="2019-03-18 22:48:32.998" event="Charge created" charge_id=ch_123 permissions_used=account_write team=acquiring
ts="2019-03-18 22:48:32.999" event="Request finished" alloc_count=9123 database_queries=34 duration=0.009 http_status=200
so if I wanted to retrieve all events associated for user 123 I would process the file as follows: $ fluent-bit -R conf/parsers.conf \
-i tail -p alias=data -p path=canonical.log -p parser=logfmt \
-T "SELECT * FROM STREAM:data WHERE user_id='usr_123';"
-o null -f 1
the output is: [1552949312.991000, {"event"=>"User authenticated", "auth_type"=>"api_key", "key_id"=>"mk_123", "user_id"=>"usr_123"}]
the results are in a raw mode but can be exported to stdout in json, to elasticsearch, kafka or any output destination supported.
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