Performance with Dedup on HP ProLiant DL380p Gen8

Hi all,
it is not that i haven't been warned. It is just that i simply do not understand why write performance on the newly created pool ist so horrible...
Hopefully, i'll get some mor advise here. Some basic figures:
The machine is a HP ProLiant DL380p Gen8 with two Intel Xeon E5-2665 CPUs and 128GB Ram.
The storage-pool is made out of 14 900GB SAS 10k disks on two HP H221 SAS HBAs in two HP D2700 storage enclosures.
The System is Solaris 11.1
root@server12:~# zpool status -D datenhalde
pool: datenhalde
state: ONLINE
scan: none requested
config:
NAME STATE READ WRITE CKSUM
datenhalde ONLINE 0 0 0
mirror-0 ONLINE 0 0 0
c11t5000C5005EE0F5D5d0 ONLINE 0 0 0
c12t5000C5005EDBBB95d0 ONLINE 0 0 0
mirror-1 ONLINE 0 0 0
c11t5000C5005EE20251d0 ONLINE 0 0 0
c12t5000C5005ED658F1d0 ONLINE 0 0 0
mirror-2 ONLINE 0 0 0
c11t5000C5005ED80439d0 ONLINE 0 0 0
c12t5000C5005EDB23F1d0 ONLINE 0 0 0
mirror-3 ONLINE 0 0 0
c11t5000C5005EDA2315d0 ONLINE 0 0 0
c12t5000C5005ED6E049d0 ONLINE 0 0 0
mirror-4 ONLINE 0 0 0
c11t5000C5005EDBB289d0 ONLINE 0 0 0
c12t5000C5005EDB9479d0 ONLINE 0 0 0
mirror-5 ONLINE 0 0 0
c11t5000C5005EDD8385d0 ONLINE 0 0 0
c12t5000C5005ED72855d0 ONLINE 0 0 0
mirror-6 ONLINE 0 0 0
c11t5000C5005ED8759Dd0 ONLINE 0 0 0
c12t5000C5005EE3AB59d0 ONLINE 0 0 0
spares
c11t5000C5005ED6CEADd0 AVAIL
c12t5000C5005EDA2CD5d0 AVAIL
errors: No known data errors
DDT entries 5354008, size 292 on disk, 152 in core
bucket allocated referenced
refcnt blocks LSIZE PSIZE DSIZE blocks LSIZE PSIZE DSIZE
1 3,22M 411G 411G 411G 3,22M 411G 411G 411G
2 1,28M 163G 163G 163G 2,93M 374G 374G 374G
4 440K 54,9G 54,9G 54,9G 2,12M 271G 271G 271G
8 140K 17,5G 17,5G 17,5G 1,39M 177G 177G 177G
16 36,1K 4,50G 4,50G 4,50G 689K 85,9G 85,9G 85,9G
32 6,26K 798M 798M 798M 277K 34,4G 34,4G 34,4G
64 1,92K 244M 244M 244M 136K 16,9G 16,9G 16,9G
128 56 6,52M 6,52M 6,52M 10,5K 1,23G 1,23G 1,23G
256 222 27,5M 27,5M 27,5M 71,0K 8,80G 8,80G 8,80G
512 2 256K 256K 256K 1,38K 177M 177M 177M
1K 4 384K 384K 384K 6,00K 612M 612M 612M
4K 1 512 512 512 4,91K 2,45M 2,45M 2,45M
16K 1 128K 128K 128K 24,9K 3,11G 3,11G 3,11G
512K 1 128K 128K 128K 599K 74,9G 74,9G 74,9G
Total 5,11M 652G 652G 652G 11,4M 1,43T 1,43T 1,43T
root@server12:~# zpool list
NAME SIZE ALLOC FREE CAP DEDUP HEALTH ALTROOT
datenhalde 5,69T 662G 5,04T 11% 2.22x ONLINE -
root@server12:~# ./arc_summery.pl
System Memory:
Physical RAM: 131021 MB
Free Memory : 18102 MB
LotsFree: 2047 MB
ZFS Tunables (/etc/system):
ARC Size:
Current Size: 101886 MB (arcsize)
Target Size (Adaptive): 103252 MB (c)
Min Size (Hard Limit): 64 MB (zfs_arc_min)
Max Size (Hard Limit): 129997 MB (zfs_arc_max)
ARC Size Breakdown:
Most Recently Used Cache Size: 100% 103252 MB (p)
Most Frequently Used Cache Size: 0% 0 MB (c-p)
ARC Efficency:
Cache Access Total: 124583164
Cache Hit Ratio: 70% 87975485 [Defined State for buffer]
Cache Miss Ratio: 29% 36607679 [Undefined State for Buffer]
REAL Hit Ratio: 103% 128741192 [MRU/MFU Hits Only]
Data Demand Efficiency: 91%
Data Prefetch Efficiency: 29%
CACHE HITS BY CACHE LIST:
Anon: --% Counter Rolled.
Most Recently Used: 74% 65231813 (mru) [ Return Customer ]
Most Frequently Used: 72% 63509379 (mfu) [ Frequent Customer ]
Most Recently Used Ghost: 0% 0 (mru_ghost) [ Return Customer Evicted, Now Back ]
Most Frequently Used Ghost: 0% 0 (mfu_ghost) [ Frequent Customer Evicted, Now Back ]
CACHE HITS BY DATA TYPE:
Demand Data: 15% 13467569
Prefetch Data: 4% 3555720
Demand Metadata: 80% 70648029
Prefetch Metadata: 0% 304167
CACHE MISSES BY DATA TYPE:
Demand Data: 3% 1281154
Prefetch Data: 23% 8429373
Demand Metadata: 73% 26879797
Prefetch Metadata: 0% 17355
root@server12:~# echo "::arc" | mdb -k
hits = 88823429
misses = 37306983
demand_data_hits = 13492752
demand_data_misses = 1281335
demand_metadata_hits = 71470790
demand_metadata_misses = 27578897
prefetch_data_hits = 3555720
prefetch_data_misses = 8429373
prefetch_metadata_hits = 304167
prefetch_metadata_misses = 17378
mru_hits = 66467881
mru_ghost_hits = 0
mfu_hits = 64253247
mfu_ghost_hits = 0
deleted = 41770876
mutex_miss = 172782
hash_elements = 18446744073676992500
hash_elements_max = 18446744073709551615
hash_collisions = 12375174
hash_chains = 18446744073698514699
hash_chain_max = 9
p = 103252 MB
c = 103252 MB
c_min = 64 MB
c_max = 129997 MB
size = 102059 MB
buf_size = 481 MB
data_size = 100652 MB
other_size = 924 MB
l2_hits = 0
l2_misses = 28860232
l2_feeds = 0
l2_rw_clash = 0
l2_read_bytes = 0 MB
l2_write_bytes = 0 MB
l2_writes_sent = 0
l2_writes_done = 0
l2_writes_error = 0
l2_writes_hdr_miss = 0
l2_evict_lock_retry = 0
l2_evict_reading = 0
l2_abort_lowmem = 0
l2_cksum_bad = 0
l2_io_error = 0
l2_hdr_size = 0 MB
memory_throttle_count = 0
meta_used = 1406 MB
meta_max = 1406 MB
meta_limit = 0 MB
arc_no_grow = 1
arc_tempreserve = 0 MB
root@server12:~#
The write-performance is really really slow:
read/write within this pool:
root@server12:/datenhalde/s12test/Bild-DB/Testaktion# /usr/gnu/bin/dd if=Test.tif of=Test2.tif
1885030+1 records in
1885030+1 records out
965135496 bytes (965 MB) copied, 145,923 s, 6,6 MB/s
read from this pool and write to the root-pool:
root@server12:/datenhalde/s12test/Bild-DB/Testaktion# /usr/gnu/bin/dd if=Test.tif of=/tmp/Test2.tif
1885030+1 records in
1885030+1 records out
965135496 bytes (965 MB) copied, 9,51183 s, 101 MB/s
root@server12:/datenhalde/s12test/Bild-DB/Testaktion# /usr/gnu/bin/dd if=FS2013_Fashionation_Beach_06.tif of=FS2013_Test.tif
I just do not get this. Why is it that slow? Am i missing any tunable parameters? From the above figures the ddt should use 5354008*152=776MB in RAM. That should fit easily.
Sorry for the longish post, but i really need some help here, because the real data with much higher dedup ratio is still to be copied to that pool.
Compression is no real alternative, because most of the data will be compressed images and i don't expect to see great compression ratios.
TIA and kind regards,
Tom
Edited by: vigtom on 16.04.2013 07:51

Hi Cindy,
thanks for answering :)
Isn't the tunable parameter "arc_meta_limit" obsolete in Solaris 11?
Before Solaris 11 you could tune arc_meta_limit by setting something reasonable in /etc/system with "set zfs:zfs_arc_meta_limit=...." which - at boot - is copied into arc_c_max overriding the default setting.
On this Solaris 11.1 c_max is already maxed out to "kstat -p zfs:0:arcstats:c_max -> zfs:0:arcstats:c_max 136312127488" without any tunig. This is also reflected by the parameter "meta_limit = 0". Am i missing something here?
When looking at the output of "echo "::arc" | mdb -k" i see the values of "meta_used", "meta_max" and "meta_limit". I understand these as "memory used for metadata right now", "max memory used for metadata in the past" and "theoretical limit of memory used for metadata" with an value of "0" as "unlimited". Right?
What exactly is "arc_no_grow = 1" saying here?
Sorry for maybe asking some silly questions. This is all a bit frustrating ;)
When disabling dedup on the pool write performance is increasing almost instantly. I did not test it long enough to get real figures. I'll probably do this (eventually even with Solaris 10) tomorrow.
Would Oracle be willing to help me out under a support plan when running Solaris 11.1 on a machine which is certified for Solars 10 only?
Thanks again and kind regards,
Tom

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CREATE TABLE TEST_DATA
FNUMBER NUMBER,
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create index t_indx on test_data(fdata);
query 1: select count(*) from TEST_DATA where trunc(fdate) = trunc(sysdate);
query 2: select count(*) from TEST_DATA where fdate between trunc(sysdate) and trunc(SYSDATE) + .99999;
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Execution Plan 1:
SQL> select count(*) from TEST_DATA where trunc(fdate) = trunc(sysdate);
COUNT(*)
283
Execution Plan
Plan hash value: 1486387033
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 9 | 517 (20)| 00:00:07 |
| 1 | SORT AGGREGATE | | 1 | 9 | | |
|* 2 | TABLE ACCESS FULL| TEST_DATA | 341 | 3069 | 517 (20)| 00:00:07 |
Predicate Information (identified by operation id):
2 - filter(TRUNC(INTERNAL_FUNCTION("FDATE"))=TRUNC(SYSDATE@!))
Note
- dynamic sampling used for this statement
Statistics
4 recursive calls
0 db block gets
1610 consistent gets
0 physical reads
0 redo size
412 bytes sent via SQL*Net to client
380 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
Execution Plan 2:
SQL> select count(*) from TEST_DATA where fdate between trunc(sysdate) and trunc(SYSDATE) + .99999;
COUNT(*)
283
Execution Plan
Plan hash value: 1687886199
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 9 | 3 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 9 | | |
|* 2 | FILTER | | | | | |
|* 3 | INDEX RANGE SCAN| T_INDX | 283 | 2547 | 3 (0)| 00:00:01 |
Predicate Information (identified by operation id):
2 - filter(TRUNC(SYSDATE@!)<=TRUNC(SYSDATE@!)+.9999884259259259259259
259259259259259259)
3 - access("FDATE">=TRUNC(SYSDATE@!) AND
"FDATE"<=TRUNC(SYSDATE@!)+.999988425925925925925925925925925925925
9)
Note
- dynamic sampling used for this statement
Statistics
7 recursive calls
0 db block gets
76 consistent gets
0 physical reads
0 redo size
412 bytes sent via SQL*Net to client
380 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows
Execution Plan 3:
SQL> select count(*) from TEST_DATA where fdate between to_date('21-APR-10', 'dd-MON-yy') and to_dat
e('21-APR-10 23:59:59', 'DD-MON-YY hh24:mi:ss');
COUNT(*)
283
Execution Plan
Plan hash value: 1687886199
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 9 | 3 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 9 | | |
|* 2 | FILTER | | | | | |
|* 3 | INDEX RANGE SCAN| T_INDX | 283 | 2547 | 3 (0)| 00:00:01 |
Predicate Information (identified by operation id):
2 - filter(TO_DATE('21-APR-10','dd-MON-yy')<=TO_DATE('21-APR-10
23:59:59','DD-MON-YY hh24:mi:ss'))
3 - access("FDATE">=TO_DATE('21-APR-10','dd-MON-yy') AND
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Note
- dynamic sampling used for this statement
Statistics
7 recursive calls
0 db block gets
76 consistent gets
0 physical reads
0 redo size
412 bytes sent via SQL*Net to client
380 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed

Hi,
user10541890 wrote:
Performance with dates in the where clause
CREATE TABLE TEST_DATA
FNUMBER NUMBER,
FSTRING VARCHAR2(4000 BYTE),
FDATE DATE
create index t_indx on test_data(fdata);Did you mean fdat<b>e</b> (ending in e)?
Be careful; post the code you're actually running.
query 1: select count(*) from TEST_DATA where trunc(fdate) = trunc(sysdate);
query 2: select count(*) from TEST_DATA where fdate between trunc(sysdate) and trunc(SYSDATE) + .99999;
query 3: select count(*) from TEST_DATA where fdate between to_date('21-APR-10', 'dd-MON-yy') and to_date('21-APR-10 23:59:59', 'DD-MON-YY hh24:mi:ss');
My questions:
1) Why isn't the index t_indx used in Execution plan 1?To use an index, the indexed column must stand alone as one of the operands. If you had a function-based index on TRUNC (fdate), then it might be used in Query 1, because the left operand of = is TRUNC (fdate).
2) From the execution plan, I see that query 2 & 3 is better than query 1. I do not see any difference between execution plan 2 & 3. Which one is better?That depends on what you mean by "better".
If "better" means faster, you've already shown that one is about as good as the other.
Queries 2 and 3 are doing different things. Assuming the table stays the same, Query 2 may give different results every day, but the results of Query 3 will never change.
For clarity, I prefer:
WHERE fdate >= TRUNC (SYSDATE)
AND fdate < TRUNC (SYSDATE) + 1(or replace SYSDATE with a TO_DATE expression, depending on the requirements).
3) I read somewhere - "Always check the Access Predicates and Filter Predicates of Explain Plan carefully to determine which columns are contributing to a Range Scan and which columns are merely filtering the returned rows. Be sceptical if the same clause is shown in both."
Is that true for Execution plan 2 & 3?
3) Could some one explain what the filter & access predicate mean here?Sorry, I can't.

Can i partition my HD now for fcpx since i didn't do it when i downloaded it. my performance with fcpx is terrible terrible performance

When i downloaded FCPX i was told I really didn't need to partition my hard drive. But my performance with fcpx is terrible from rendering constantly to waiting for a minute after you click for it to do it. I turn off the rendring, I transcoded the media to pro res went to file and hit transcode. but still i mean it crashes, buggy, suggy and it takes hours to do anything. I have my media on a external drive but i did screw up and put some media on internal drive. iMac OSX 10.7.2 3.06 GHZ Core 2 Duo. EX HD LaCie on a 800 firewire.

Partitioning the internal drive is - imho! - completely useless for UNIX-systems such as MacOS, due to excessive usage of (hidden!) temp-files.
And, especially a too small int. HDD partition for the system will brake any app 'til a full halt.
plus, 10.7. has some issues with managing Timemachine backups when it comes to large files as video - again, if the intHDD/OS drive is too small, it gets iffy.
at last >30GBs free, only codecs and material as intended by Cupertino = no probs here (on a much smaller/older set-up).

Slow Performance with Business Rules

Hello,
Has anyone ever had slow performance with business rules? For example, I attached a calc script to a form and it ran for 20 seconds. I made an exact replica of the calc script in a business rules and it took 30 seconds to run. Also, when creating / modifying business rules in EAS it takes a long time to open or save or attach security - any ideas on things to improve this performance?
Thanks!

If you are having issues with performance of assigning access then I am sure there was patch available, it was either a HSS patch or planning patch.
Cheers
John
http://john-goodwin.blogspot.com/

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