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Ceph	Client	(librbd)	Performance	Analysis	and	Learnings
Mahati	Chamarthy
Software	Engineer,	Intel
• RBD
• Tracing/profiling	tools
• Test	environment	setup
• Workload	configs
• Performance	analysis	&	conclusions
Agenda
RBD
• RBD	images	– block	devices	striped	over	objects	
and	stored	in	RADOS	object	store
• Stripes	images	across	the	entire	cluster
• Common	use-case:	disks	for	VMs
RBD
• rbd_data.$rbd_id.$fragment
• rbd_directory
• rbd_info
• rbd_id.$rbd_name
• rbd_header.$rbd_id
• rbd_object_map.$rbd_id
• Interacts	with	OSD	via	kernel	module	or	librbd
• RBD	layering
• Copy-on-write
• Integration	with	QEMU,	libvirt,	Linux	Kernel
• RBD	mirroring
RBD	Features
read/write	request
• Ceph	subsystem	logging
• Wireshark/t-shark	for	analyzing	network	traffic
• Zipkin/Blkin
• Ceph	perf	counters	along	with	rbd replay
• Perf	tool	&	flame	charts
• Eventtrace
Tracing/Profiling	tools
$	rbd-replay-prep	~/lttng-traces/auto-20171122-
143523/ust/uid/*/*	replay.bin
$	rbd-replay	replay.bin --dump-perf-counters
Perf	counters
Ceph Client librbd Performance Analysis and Learnings - Mahati Chamarthy
Ceph Client librbd Performance Analysis and Learnings - Mahati Chamarthy
Ceph Client librbd Performance Analysis and Learnings - Mahati Chamarthy
Ceph Client librbd Performance Analysis and Learnings - Mahati Chamarthy
perf	flame	graph
• Lttng based
• Ease	of	use	with	minimal	code	changes
• Eventtrace support	exists	in	Ceph	code
• Generates	large	amount	of	data	– needs	to	be	parsed
Eventtrace
#include	“common/EventTrace.h”
……
FUNCTRACE(cct);
…...
• cct being	CephContext value
Usage
• Ceph	cluster	with	single	OSD,	single	Mon	and	a	
manger	[1]
• Bluestore as	backend
• Separate	partitions	for	wal and	db
• SSD	P3700	NVMe/PCIe 400GB
[1]https://github.com/MahatiC/ceph-single-osd-mon	
Test	environment	setup
• Workloads	collected	on	an	rbd image	of	size	1024MB,	
in	a	pool	with	100	pgs,	and	cache	disabled
• Data	collected	using	eventtrace;	the	values	are	
averaged	out	using	a	python	script
• Config:	
o random	write
o blocksize:	4k
o iodepth:	1
o runtime:	6sec
Config - I
Ceph Client librbd Performance Analysis and Learnings - Mahati Chamarthy
Ceph Client librbd Performance Analysis and Learnings - Mahati Chamarthy
• Workloads	collected	on	an	rbd image	of	size	1024MB,	
in	a	pool	with	100	pgs,	and	cache	disabled
• Data	collected	using	eventtrace;	the	values	are	
averaged	out	using	a	python	script
• Config:	
o random	read
o blocksize:	4k
o iodepth:	1
o runtime:	6sec
Config - II
Ceph Client librbd Performance Analysis and Learnings - Mahati Chamarthy
• Workloads	collected	on	an	rbd image	of	size	1024MB,	
in	a	pool	with	100	pgs,	and	cache	disabled
• Data	collected	using	eventtrace;	the	values	are	
averaged	out	using	a	python	script
• Config:	
o random	write
o blocksize:	16k
o iodepth:	1
o runtime:	6sec
Config - III
Ceph Client librbd Performance Analysis and Learnings - Mahati Chamarthy
• Workloads	collected	on	an	rbd image	of	size	1024MB,	
in	a	pool	with	100	pgs,	and	cache	disabled
• Data	collected	using	eventtrace;	the	values	are	
averaged	out	using	a	python	script
• Config:	
o random	read
o blocksize:	16k
o iodepth:	1
o runtime:	6sec
Config - IV
Ceph Client librbd Performance Analysis and Learnings - Mahati Chamarthy
Ceph Client librbd Performance Analysis and Learnings - Mahati Chamarthy
Thank	you!
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