Do you have bloom filters enabled? And compression? Both of those can help reduce disk io load
which seems to be the main issue you are having on the ec2 cluster.
~Jeff
On 4/9/2012 8:28 AM, Jack Levin wrote:
Yes, from %util you can see that your disks are working at 100%
pretty much. Which means you can't push them go any faster. So the
solution is to add more disks, add faster disks, add nodes and disks.
This type of overload should not be related to HBASE, but rather to
your hardware setup.
-Jack
On Mon, Apr 9, 2012 at 2:29 AM, ijanitran<taz...@yahoo.com> wrote:
Hi, results of iostat are pretty much very similar on all nodes:
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 0.00 294.00 0.00 9.27 0.00 64.54
21.97 75.44 3.40 100.10
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 4.00 286.00 8.00 9.11 0.27 65.33
7.16 25.32 2.88 84.70
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 0.00 283.00 0.00 8.29 0.00 59.99
10.31 35.43 2.97 84.10
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 0.00 320.00 0.00 9.12 0.00 58.38
12.32 39.56 2.79 89.40
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 0.00 336.63 0.00 9.18 0.00 55.84
10.67 31.42 2.78 93.47
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 0.00 312.00 0.00 10.00 0.00 65.62
11.07 35.49 2.91 90.70
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 0.00 356.00 0.00 10.72 0.00 61.66
9.38 26.63 2.57 91.40
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 0.00 258.00 0.00 8.20 0.00 65.05
13.37 51.24 3.64 93.90
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 0.00 246.00 0.00 7.31 0.00 60.88
5.87 24.53 3.14 77.30
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 2.00 297.00 3.00 9.11 0.02 62.29
13.02 42.40 3.12 93.60
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 0.00 292.00 0.00 9.60 0.00 67.32
11.30 39.51 3.36 98.00
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz
avgqu-sz await svctm %util
xvdap1 0.00 4.00 261.00 8.00 7.84 0.27 61.74
16.07 55.72 3.39 91.30
Jack Levin wrote:
Please email iostat -xdm 1, run for one minute during load on each node
--
Sent from my Android phone with K-9 Mail. Please excuse my brevity.
ijanitran<taz...@yahoo.com> wrote:
I have 4 nodes HBase v0.90.4-cdh3u3 cluster deployed on Amazon XLarge
instances (16Gb RAM, 4 cores CPU) with 8Gb heap -Xmx allocated for HRegion
servers, 2Gb for datanodes. HMaster\ZK\Namenode is on the separate XLarge
instance. Target dataset is 100 millions records (each record is 10 fields
by 100 bytes). Benchmarking performed concurrently from parallel 100
threads.
I'm confused with a read latency I got, comparing to what YCSB team
achieved
and showed in their YCSB paper. They achieved throughput of up to 7000
ops/sec with a latency of 15 ms (page 10, read latency chart). I can't get
throughput higher than 2000 ops/sec on 90% reads/10% writes workload.
Writes
are really fast with auto commit disabled (response within a few ms),
while
read latency doesn't go lower than 70 ms in average.
These are some HBase settings I used:
hbase.regionserver.handler.count=50
hfile.block.cache.size=0.4
hbase.hregion.max.filesize=1073741824
hbase.regionserver.codecs=lzo
hbase.hregion.memstore.mslab.enabled=true
hfile.min.blocksize.size=16384
hbase.hregion.memstore.block.multiplier=4
hbase.regionserver.global.memstore.upperLimit=0.35
hbase.zookeeper.property.maxClientCnxns=100
Which settings do you recommend to look at\tune to speed up reads with
HBase?
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Jeff Whiting
Qualtrics Senior Software Engineer
je...@qualtrics.com
