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Home Page: https://getbaker.io
License: MIT License
Baker is a high performance, composable and extendable data-processing pipeline for the big data era
Home Page: https://getbaker.io
License: MIT License
install baker in windows 10 with command go get github.com/AdRoll/baker
go: github.com/AdRoll/baker upgrade => v0.0.0-20201209102217-af7b7c12682b
go: downloading github.com/charmbracelet/glamour v0.2.0
go: downloading github.com/sirupsen/logrus v1.4.2
go: downloading github.com/rasky/toml v0.1.1-0.20160309013025-90bcb678a72a
go: downloading github.com/konsorten/go-windows-terminal-sequences v1.0.2
go: downloading golang.org/x/sys v0.0.0-20200413165638-669c56c373c4
go: downloading github.com/yuin/goldmark v1.2.0
go: downloading github.com/muesli/termenv v0.6.0
go: downloading github.com/muesli/reflow v0.1.0
go: downloading github.com/mattn/go-runewidth v0.0.9
go: downloading github.com/alecthomas/chroma v0.7.3
go: downloading github.com/microcosm-cc/bluemonday v1.0.2
go: downloading github.com/olekukonko/tablewriter v0.0.4
go: downloading github.com/lucasb-eyer/go-colorful v1.0.3
go: downloading github.com/google/goterm v0.0.0-20190703233501-fc88cf888a3f
go: downloading github.com/dlclark/regexp2 v1.2.0
go: downloading github.com/danwakefield/fnmatch v0.0.0-20160403171240-cbb64ac3d964
# github.com/AdRoll/baker
..\..\dvgamerr\go\pkg\mod\github.com\!ad!roll\[email protected]\help_markdown.go:56:38: not enough arguments in call to syscall.Syscall
..\..\dvgamerr\go\pkg\mod\github.com\!ad!roll\[email protected]\help_markdown.go:56:39: undefined: syscall.SYS_IOCTL
..\..\dvgamerr\go\pkg\mod\github.com\!ad!roll\[email protected]\help_markdown.go:58:11: undefined: syscall.TIOCGWINSZ
go version go1.15.6 windows/amd64
Thanks.
I check the quick start example and get this error
# github.com/AdRoll/baker/input/inpututils
..\..\..\go\pkg\mod\github.com\!ad!roll\[email protected]\input\inpututils\fastreader.go:59:3: unknown field 'Setpgid' in struct literal of type syscall.SysProcAttr
On an AWS EC2 instance of size
c5.2xlarge
, Baker can read zstandard records from S3, uncompress them and apply a basic filtering logic, compressing them back on local files using ~90% of capacity of each vCPU (8 in total) and ~3.5GB of RAM.It reads and writes a total of 94 million records in less than 9 minutes, that’s 178k records per second.
On a
c5.2xlarge
instance (48 vCPUs) the same test takes 2 minutes, so that’s a speed of 775k records per second.
This excerpt is from https://getbaker.io/docs/performance/, the readme correctly states the last one is a c5.12xlarge
instance.
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