Saturday Dec 21, 2013

Measuring Network Bandwidth Using iperf

iperf is a simple, open source tool to measure the network bandwidth. It can test TCP or UDP throughput. Tools like iperf are useful to check the performance of a network real quick, by comparing the achieved bandwidth with the expectation. The example in this blog post is from a Solaris system, but the instructions and testing methodology are applicable on all supported platforms including Linux.

Download the source code from iperf's home page, and build the iperf binary. Those running Solaris 10 or later, can download the pre-built binary (file size: 245K) from this location to give it a quick try (right click and "Save Link As .." or similar option).

Testing methodology:

iperf's network performance measurements are based on the client-server communication model - hence requires establishing both a server and a client. The same iperf binary can be used to run the process in server and client modes.

  1. Start iperf in server mode
    iperf -s -i <interval>

    Option -s or --server starts the process in server mode. -i or --interval is the sampling interval in seconds.

  2. Start iperf in client mode, and test the network connection between client and the server with arbitrary data transfers.

    iperf -n <bytes> -i <interval> -c <ServerIP>
    

    Option -c or --client starts the process in client mode. Option -n or --bytes specify the number of bytes to transmit in bytes, KB (use suffix K) or MB (use suffix M). -i or --interval is the sampling interval in seconds. The last option is the IP address or the hostname of the server to connect to. By default, client connects to the server using TCP. -u or --udp switches to UDP.

  3. Check the network link speed on server and client, and compare the throughput achieved.

Check the man page out for the full list of options supported by iperf in client and server modes.

Here is a simple demonstration.

On server node:

iperfserv% dladm show-phys net0
LINK              MEDIA                STATE      SPEED  DUPLEX    DEVICE
net0              Ethernet             up         1000   full      igb0

iperfserv% ifconfig net0 | grep inet
        inet 10.129.193.63 netmask ffffff00 broadcast 10.129.193.255

iperfserv% ./iperf -v
iperf version 3.0-BETA5 (28 March 2013)SunOS iperfserv 5.11 11.1 sun4v sparc sun4v


iperfserv% ./iperf -s -i 1
-----------------------------------------------------------
Server listening on 5201
-----------------------------------------------------------

On client node:

client% dladm show-phys net0
LINK              MEDIA                STATE      SPEED  DUPLEX    DEVICE
net0              Ethernet             up         1000   full      igb0

client% ifconfig net0 | grep inet
        inet 10.129.193.151 netmask ffffff00 broadcast 10.129.193.255

client% ./iperf  -n 1024M  -i 1 -c 10.129.193.63
Connecting to host 10.129.193.63, port 5201
[  4] local 10.129.193.151 port 63507 connected to 10.129.193.63 port 5201
[ ID] Interval           Transfer     Bandwidth
[  4]   0.00-1.01   sec   105 MBytes   875 Mbits/sec
[  4]   1.01-2.02   sec   112 MBytes   934 Mbits/sec
[  4]   2.02-3.00   sec   110 MBytes   934 Mbits/sec
			[...]
[  4]   8.02-9.01   sec   110 MBytes   933 Mbits/sec
[  4]   9.01-9.27   sec  30.0 MBytes   934 Mbits/sec
[ ID] Interval           Transfer     Bandwidth
      Sent
[  4]   0.00-9.27   sec  1.00 GBytes   927 Mbits/sec
      Received
[  4]   0.00-9.27   sec  1.00 GBytes   927 Mbits/sec

iperf Done.

At the same time, somewhat similar messages are written to stdout on the server node.

iperfserv% ./iperf  -s -i 1
-----------------------------------------------------------
Server listening on 5201
-----------------------------------------------------------
Accepted connection from 10.129.193.151, port 33457
[  5] local 10.129.193.63 port 5201 connected to 10.129.193.151 port 63507
[ ID] Interval           Transfer     Bandwidth
[  5]   0.00-1.00   sec   104 MBytes   874 Mbits/sec
[  5]   1.00-2.00   sec   111 MBytes   934 Mbits/sec
[  5]   2.00-3.00   sec   111 MBytes   934 Mbits/sec
			[...]
[ ID] Interval           Transfer     Bandwidth
      Sent
[  5]   0.00-9.28   sec  1.00 GBytes   927 Mbits/sec
      Received
[  5]   0.00-9.28   sec  1.00 GBytes   927 Mbits/sec
-----------------------------------------------------------
Server listening on 5201
-----------------------------------------------------------

The link speed is specified in Mbps (megabit per second). In the above example, the network link is operating at 1000 Mbps speed, and the achieved bandwidth is 927 Mbps, which is 92.7% of the advertised bandwidth.

Notes:

  • It is not necessary to execute iperf in client and server modes as root or privileged user
  • In server mode, iperf uses port 5201 by default. It can be changed to something else using -p or --port option
  • Restart iperf server after each client test to get reliable, consistent results
  • Using iperf is just one of many ways to measure the network bandwidth. There are other tools such as uperf, ttcp, netperf, bwping, udpmon, tcpmon, .. just to name a few. Research and pick the one that best suits your requirement.

Saturday Nov 30, 2013

Things to Consider when Planning the Redo logs for Oracle Database

Very basic and generic discussion from the performance point of view. Customers still have to do their due diligence in understanding redo logs, and how they work in Oracle database, before finalizing redo log configuration for their deployments.

  • size them properly
    • log writer writes to a single redo log file until either it is full or a manual log switch is requested
          Oracle supports multiplexed redo logs for availability, but this behavior of writing to a file until it is full or a log switch happens, still hold
    • if the transactions generate a lot of redo before a database commit, consider large sizes in tens of gigabytes for redo logs
    • if not sized properly, it leads to unnecessary log switches, which in turn increase checkpoint activity resulting in unnecessary slow down of the database operations
          two redo logs each with at least 5G in size might be a good start. observe the log switches, checkpoints and increase (or decrease, though there is no performance benefit) the file size accordingly

  • do not mix redo logs with the rest of the database or anything else
    • in a normal functioning database, most of the time, log writer simply writes redo entries sequentially to redo logs
    • any slow down in writing the redo data to logs hurt the performance of the database
    • best not to share the disks/volumes on which redo logs are hosted, with anything else
          set of disks, volumes exclusive to redo logs, that is

  • ensure that the underlying disks or I/O medium used to store the redo logs are fast, optimally configured and can sustain the amount of I/O bandwidth needed to write the redo entries to the redo logs
        if those requirements are not met, it could lead to 'log file sync' waits, which will slow down the database transactions

  • redo logs on non-volatile flash storage may have performance benefits over the traditional hard disk drives
    • check this blog post out, Redo logs on F40 PCIe Cards, for related discussion (keywords: 4K block size for redo logs, block alignment)

Monday Oct 14, 2013

[Script] Breakdown of Oracle SGA into Solaris Locality Groups

Goal: for a given process, find out how the SGA was allocated in different locality groups on a system running Solaris operating system.

Download the shell script, sga_in_lgrp.sh. The script accepts any Oracle database process id as input, and prints out the memory allocated in each locality group.

Usage: ./sga_in_lgrp.sh <pid>

eg.,

# prstat -p 12820

   PID USERNAME  SIZE   RSS STATE   PRI NICE      TIME  CPU PROCESS/NLWP
 12820 oracle     32G   32G sleep    60  -20   0:00:16 0.0% oracle/2

# ./sga_in_lgrp.sh 12820

Number of Locality Groups (lgrp): 4
------------------------------------

lgroup 1 :   8.56 GB
lgroup 2 :   6.56 GB
lgroup 3 :   6.81 GB
lgroup 4 :  10.07 GB

Total allocated memory:  32.00 GB

For those who wants to have a quick look at the source code, here it is.

# cat sga_in_lgrp.sh

#!/bin/bash

# check the argument count
if [ $# -lt 1 ]
then
        echo "usage: ./sga_in_lgrp.sh <oracle pid>"
        exit 1
fi

# find the number of locality groups
lgrp_count=$(kstat -l lgrp | tail -1 | awk -F':' '{ print $2 }')
echo "\nNumber of Locality Groups (lgrp): $lgrp_count"
echo "------------------------------------\n"

# save the ism output using pmap
pmap -sL $1 | grep ism | sort -k5 > /tmp/tmp_pmap_$1

# calculate the total amount of memory allocated in each lgroup
for i in `seq 1 $lgrp_count`
do
        echo -n "lgroup $i : "
        grep "$i   \[" /tmp/tmp_pmap_$1 | awk '{ print $2 }' | sed 's/K//g' | 
               awk '{ sum+=$1} END {printf ("%6.2f GB\n", sum/(1024*1024))}'
done

echo
echo -n "Total allocated memory: "
awk '{ print $2 }' /tmp/tmp_pmap_$1 | sed 's/K//g' | awk '{ sum+=$1} END 
         {printf ("%6.2f GB\n\n", sum/(1024*1024))}'

rm /tmp/tmp_pmap_$1

Like many things in life, there will always be a better or simpler way to achieve this. If you find one, do not fret over this approach. Please share, if possible.

Monday Sep 30, 2013

Miscellaneous Tips: Solaris, Oracle Database, Java, FMW

[Solaris] Cleanup all IPC resources

Run the following wrapper script with root user privileges.

for i in `ipcs -a | awk '{ print $2 }'`
do
	ipcrm -m $i 2> /dev/null
	ipcrm -q $i 2> /dev/null
	ipcrm -s $i 2> /dev/null
done

[Java, WebLogic] Find the process id (pid) of a WebLogic managed server instance

Run the following as the user who owns the process, or with root user privileges.

/usr/java/bin/jps -v | grep <WLS_server_name> | awk '{ print $1 }'

I think this tip is applicable on all supported platforms.

eg.,
Finding the pid of a managed server, bi_server1.

# /usr/java/bin/jps -v | grep bi_server1 | awk '{ print $1 }'
18659

# pargs 18659 | grep weblogic.Name
argv[7]: -Dweblogic.Name=bi_server1

[Oracle Database] Make Oracle ignore hints

Set the following hidden parameter.

_optimizer_ignore_hints=TRUE

(in general, Oracle does not recommend playing with hidden parameters. Check with Oracle support when in doubt).


[Oracle Database] Data Pump Export in a RAC environment fails with ORA-31693, ORA-31617, ORA-19505, ORA-27037 errors

eg.,

ORA-31693: Table data object "<SCHEMA>"."<TABLE>":"P_1147" failed to load/unload \
        and is being skipped due to error:
ORA-31617: unable to open dump file "<FILE>" for write
ORA-19505: failed to identify file "<FILE>"
ORA-27037: unable to obtain file status
SVR4 Error: 2: No such file or directory
Additional information: 3

Workaround:

Add CLUSTER=N to the list of existing expdp options.


[Solaris, ZFS] Check the current ARC size and its breakdown

kstat -m zfs | grep size 		(any user)  - OR -
echo ::arc | mdb -k | grep size 	(root user)

echo ::memstat | mdb -k		(root user)


eg.,

# echo ::arc | mdb -k | grep size
size                      =       259391 MB
buf_size                  =         3218 MB
data_size                 =       249309 MB
other_size                =         6863 MB
l2_hdr_size               =            0 MB

# kstat -m zfs | grep size
        buf_size                        3375105344
        data_size                       261419672320
        l2_hdr_size                     0
        other_size                      7197048560
        size                            271991826224

# echo ::memstat | mdb -k
Page Summary                Pages                MB  %Tot
------------     ----------------  ----------------  ----
Kernel                   14646326            114424    4%
ZFS File Data            31948806            249600   10%
Anon                     24660113            192657    7%
Exec and libs                8912                69    0%
Page cache                 126052               984    0%
Free (cachelist)            24517               191    0%
Free (freelist)         263965754           2062232   79%
Total                   335380480           2620160

[Fusion Middleware] Disable Fusion Middleware Diagnostic Framework (DFW) Dump Sampling

The Diagnostic Framework in FMW 11g environments detect, diagnose and resolve critical errors such as uncaught exceptions, deadlocked threads and out of memory errors. It is enabled by default.

Though DFW is supposed to diagnose and fix some of the issues transparently, due to the inevitable bugs in [all kinds of] software and misconfigurations, sometimes DFW itself may become a major issue. For instance, there is a bug that reported very high system CPU time on a SPARC server where FMW 11g was running. Per the bug description, the system CPU utilization spikes every minute exactly at 00s of a minute, CPU utilization goes down within few seconds - but the pattern persists and the spiky behavior returns within a minute. Another symptom was the sudden drop in available swap space from tens of giga bytes to a few mega bytes when the CPU spike occurs. Upon close examination, it was found out that DFW in FMW is forking tens of jstack processes to collect the thread dumps from an equal number of java processes running in that FMW environment, causing the sudden spike in CPU (each process is busy gathering thread dumps at the same time) and a steep drop in swap space (each jstack process forked a jmap process. both jstack and jmap processes consume some virtual memory just like any other process). All this happened because DFW thought it found a critical issue, and it wasn't noticed or addressed by anyone including the administrators (DFW couldn't fix this particular issue on its own) - so, it kept gathering the diagnostic data continuously. In this example, DFW did the right thing but the diagnostic data collection frequency was too short - only one minute, that diminished the value of DFW and made it a liability. In such dire situations, probably it is best to disable the dump sampling feature of Diagnostic Framework tentatively while the underlying original issue is being fixed in that application environment. It can be enabled again when the critical issue was fixed, and no longer an issue.

Steps to disable Fusion Middleware Diagnostic Framework (DFW) Dump Sampling: (courtesy: Shashidhara Varamballi)

Method (1) Using WLST:

  1. run wlst.sh
  2. connect to the AdminServer
  3. execute command: enableDumpSampling (enable=0, server='<server_name>')

Method (2) Manual editing of config file:

  1. Edit $DOMAIN_HOME/config/fmwconfig/servers/<server_name>/dfw_config.xml
  2. Change the "enabled" attribute from "true" to "false".
    eg.,
    <dumpSampling enabled="false">
  3. Change the "useExternalCommands" attribute from "true" to "false".
    eg.,
    <threadDump useExternalCommands="false"/>
  4. Save the changes
--

SEE ALSO:

Fusion Middleware Diagnostics weblog


[Solaris 11] Virtual-to-physical link (NIC) mapping

Check the output of /sbin/dladm show-phys (any user). By default, only those physical links that are available on the running system are displayed. Option -P shows the physical device and attributes of all physical links.

eg.,

$ /sbin/dladm show-phys
LINK              MEDIA                STATE      SPEED  DUPLEX    DEVICE
net0              Ethernet             up         1000   full      ixgbe0
net5              Infiniband           down       0      unknown   ibp2
net1              Ethernet             up         1000   full      ixgbe1
net6              Infiniband           down       0      unknown   ibp3
net4              Ethernet             up         10     full      usbecm2

$ /sbin/dladm show-phys -P
LINK              DEVICE       MEDIA                FLAGS
net8              ibp1         Infiniband           r----
net0              ixgbe0       Ethernet             -----
net7              ibp0         Infiniband           r----
net3              ixgbe3       Ethernet             r----
net5              ibp2         Infiniband           -----
net1              ixgbe1       Ethernet             -----
net6              ibp3         Infiniband           -----
net4              usbecm2      Ethernet             -----
net2              vsw0         Ethernet             r----

Saturday Aug 31, 2013

[Oracle Database] Unreliable AWR reports on T5 & Redo logs on F40 PCIe Cards

(1) AWR report shows bogus wait events and times on SPARC T5 servers

Here is a sample from one of the Oracle 11g R2 databases running on a SPARC T5 server with Solaris 11.1 SRU 7.5

Top 5 Timed Foreground Events

Event Waits Time(s) Avg wait (ms) % DB time Wait Class
latch: cache buffers chains 278,727 812,447,335 2914850 13307324.15Concurrency
library cache: mutex X212,595449,966,33021165427370136.56Concurrency
buffer busy waits219,844349,975,25115919255732352.01Concurrency
latch: In memory undo latch25,46837,496,8001472310614171.59Concurrency
latch free2,60224,998,5839607449409459.46Other

Reason:
Unknown. There is a pending bug 17214885 - Implausible top foreground wait times reported in AWR report.

Tentative workaround:
Disable power management as shown below.

# poweradm set administrative-authority=none

# svcadm disable power
# svcadm enable power

Verify the setting by running poweradm list.

Also disable NUMA I/O object binding by setting the following parameter in /etc/system (requires a system reboot).

set numaio_bind_objects=0

Oracle Solaris 11 added support for NUMA I/O architecture. Here is a brief explanation of NUMA I/O from Solaris 11 : What's New web page.

Non-Uniform Memory Access (NUMA) I/O : Many modern systems are based on a NUMA architecture, where each CPU or set of CPUs is associated with its own physical memory and I/O devices. For best I/O performance, the processing associated with a device should be performed close to that device, and the memory used by that device for DMA (Direct Memory Access) and PIO (Programmed I/O) should be allocated close to that device as well. Oracle Solaris 11 adds support for this architecture by placing operating system resources (kernel threads, interrupts, and memory) on physical resources according to criteria such as the physical topology of the machine, specific high-level affinity requirements of I/O frameworks, actual load on the machine, and currently defined resource control and power management policies.

Do not forget to rollback these changes after applying the fix for the database bug 17214885, when available.

(2) Redo logs on F40 PCIe cards (non-volatile flash storage)

Per the F40 PCIe card user's guide, the Sun Flash Accelerator F40 PCIe Card is designed to provide best performance for data transfers that are multiples of 8k size, and using addresses that are 8k aligned. To achieve optimal performance, the size of the read/write data should be an integer multiple of this block size and the data transferred should be block aligned. I/O operations that are not block aligned and that do not use sizes that are a multiple of the block size may suffer performance degration, especially for write operations.

Oracle redo log files default to a block size that is equal to the physical sector size of the disk, typically 512 bytes. And most of the time, database writes to the redo log in a normal functioning environment. Oracle database supports a maximum block size of 4K for redo logs. Hence to achieve optimal performance for redo write operations on F40 PCIe cards, tune the environment as shown below.

  1. Configure the following init parameters
    _disk_sector_size_override=TRUE
    _simulate_disk_sectorsize=4096
    
  2. Create redo log files with 4K block size
    eg.,
    SQL> ALTER DATABASE ADD LOGFILE '/REDO/redo.dbf' size 20G blocksize 4096;
    
  3. [Solaris only] Append the following line to /kernel/drv/sd.conf (requires a reboot)
    sd-config-list="ATA     3E128-TS2-550B01","disksort:false,\
                 cache-nonvolatile:true, physical-block-size:4096";
    
  4. [Solaris only][F20] To enable maximum throughput from the MPT driver, append the following line to /kernel/drv/mpt.conf and reboot the system.
    mpt_doneq_thread_n_prop=8;
    

This tip is applicable to all kinds of flash storage that Oracle sells or sold including F20/F40 PCIe cards and F5100 storage array. sd-config-list in sd.conf may need some adjustment to reflect the correct vendor id and product id.

Tuesday Jul 30, 2013

Oracle Tips : Solaris lgroups, CT optimization, Data Pump, Recompilation of Objects, ..

1. [Re]compiling all objects in a schema
exec DBMS_UTILITY.compile_schema(schema => 'SCHEMA');

To recompile only the invalid objects in parallel:

exec UTL_RECOMP.recomp_parallel(<NUM_PARALLEL_THREADS>, 'SCHEMA');

A NULL value for SCHEMA recompiles all invalid objects in the database.


2. SGA breakdown in Solaris Locality Groups (lgroup)

To find the breakdown, execute pmap -L | grep shm. Then separate the lines that are related to each locality group and sum up the value in 2nd column to arrive at a number that shows the total SGA memory allocated in that locality group.

(I'm pretty sure there will be a much easier way that I am not currently aware of.)


3. Default values for shared pool, java pool, large pool, ..

If the *pool parameters were not set explicitly, executing the following query is one way to find out what are they currently set to.

eg.,
SQL> select * from v$sgainfo;

NAME                                  BYTES RES
-------------------------------- ---------- ---
Fixed SGA Size                      2171296 No
Redo Buffers                      373620736 No
Buffer Cache Size                8.2410E+10 Yes
Shared Pool Size                 1.7180E+10 Yes
Large Pool Size                   536870912 Yes
Java Pool Size                   1879048192 Yes
Streams Pool Size                 268435456 Yes
Shared IO Pool Size                       0 Yes
Granule Size                      268435456 No
Maximum SGA Size                 1.0265E+11 No
Startup overhead in Shared Pool  2717729536 No
Free SGA Memory Available                 0
12 rows selected.

4. Fix to PLS-00201: identifier 'GV$SESSION' must be declared error

Grant select privilege on gv_$SESSION to the owner of the database object that failed to compile.

eg.,
SQL> alter package OWF_MGR.FND_SVC_COMPONENT compile body;
Warning: Package Body altered with compilation errors.

SQL> show errors
Errors for PACKAGE BODY OWF_MGR.FND_SVC_COMPONENT:

LINE/COL ERROR
-------- -----------------------------------------------------------------
390/22   PL/SQL: Item ignored
390/22   PLS-00201: identifier 'GV$SESSION' must be declared

SQL> grant select on gv_$SESSION to OWF_MGR;
Grant succeeded.

SQL> alter package OWF_MGR.FND_SVC_COMPONENT compile body;
Package body altered.

5. Solaris Critical Thread (CT) optimization for Oracle logwriter (lgrw)

Critical Thread is a new scheduler optimization available in Oracle Solaris releases Solaris 10 Update 10 and later versions. Latency sensitive single threaded components of software such as Oracle database's logwriter benefit from CT optimization.

On a high level, LWPs marked as critical will be granted more exclusive access to the hardware. For example, on SPARC T4 and T5 systems, such a thread will be assigned exclusive access to a core as much as possible. CT optimization won't delay scheduling of any runnable thread in the system.

Critical Thread optimization is enabled by default. However the users of the system have to hint the OS by marking a thread or two "critical" explicitly as shown below.

priocntl -s -c FX -m 60 -p 60 -i pid <pid_of_critical_single_threaded_process>

From database point of view, logwriter (lgwr) is one such process that can benefit from CT optimization on Solaris platform. Oracle DBA's can either make the lgwr process 'critical' once the database is up and running, or can simply patch the 11.2.0.3 database software by installing RDBMS patch 12951619 to let the database take care of it automatically. I believe Oracle 12c does it by default. Future releases of 11g software may make lgwr critical out of the box.

Those who install the database patch 12951619 need to carefully follow the post installation steps documented in the patch README to avoid running into unwanted surprises.


6. ORA-14519 error while importing a table from a Data Pump export dump
ORA-14519: Conflicting tablespace blocksizes for table : Tablespace XXX block \
size 32768 [partition specification] conflicts with previously specified/implied \
tablespace YYY block size 8192
 [object-level default]
Failing sql is:
CREATE TABLE XYZ
..

All partitions in table XYZ are using 32K blocks whereas the implicit default partition is pointing to a 8K block tablespace. Workaround is to use the REMAP_TABLESPACE option in Data Pump impdp command line to remap the implicit default tablespace of the partitioned table to the tablespace where the rest of partitions are residing.


7. Index building task in Data Pump import process

When Data Pump import process is running, by default, index building is performed with just one thread, which becomes a bottleneck and causes the data import process to take a long time especially if many large tables with millions of rows are being imported into the target database. One way to speed up the import process execution is by skipping index building as part of data import task with the help of EXCLUDE=INDEX impdp command line option. Extract the index definitions for all the skipped indexes from the Data Pump dump file as shown below.

impdp <userid>/<password> directory=<directory> dumpfile=<dump_file>.dmp \
    sqlfile=<index_def_file>.sql INCLUDE=INDEX

Edit <index_def_file>.sql to set the desired number of parallel threads to build each index. And finally execute the <index_def_file>.sql to build the indexes once the data import task is complete.

Sunday Jun 30, 2013

Solaris Tips : Assembler, Format, File Descriptors, Ciphers & Mount Points

1. Most Oracle software installers need assembler

Assembler (as) is not installed by default on Solaris 11.
     Find and install

eg.,
# pkg search assembler
INDEX       ACTION VALUE                           PACKAGE        
pkg.fmri    set    solaris/developer/assembler     pkg:/developer/assembler@0.5.11-0.175.1.5.0.3.0

# pkg install pkg:/developer/assembler

Assembler binary used to be under /usr/ccs/bin directory on Solaris 10 and prior versions.
     There is no /usr/ccs/bin on Solaris 11. Contents were moved to /usr/bin



2. Non-interactive retrieval of the entire list of disks that format reports

If the format utility cannot show the entire list of disks in a single screen on stdout, it shows some and prompts user to - hit space for more or s to select - to move to the next screen to show few more disks. Run the following command(s) to retrieve the entire list of disks in a single shot.

format < /dev/null

	-or-

echo "\n" | format



3. Finding system wide file descriptors/handles in use

Run the following kstat command as any user (privileged or non-privileged).

kstat -n file_cache -s buf_inuse

Going through /proc (process filesystem) is less efficient and may lead to inaccurate results due to the inclusion of duplicate file handles.



4. ssh connection to a Solaris 11 host fails with error Couldn't agree a client-to-server cipher (available: aes128-ctr,aes192-ctr,aes256-ctr,arcfour128,arcfour256,arcfour)

Solution: add 3des-cbc to the list of accepted ciphers to sshd configuration file.

Steps:

  1. Append the following line to /etc/ssh/sshd_config
    Ciphers aes128-ctr,aes192-ctr,aes256-ctr,arcfour128,arcfour256,\
       arcfour,3des-cbc
  2. Restart ssh daemon
    svcadm -v restart ssh



5. UFS: Finding the last mount point for a device

fsck utility reports the last mountpoint on which the filesystem was mounted (it won't show the mount options though). The filesystem should be unmounted when running fsck.

eg.,
# fsck -n /dev/dsk/c0t5000CCA0162F7BC0d0s6
** /dev/rdsk/c0t5000CCA0162F7BC0d0s6 (NO WRITE)
** Last Mounted on /export/oracle
** Phase 1 - Check Blocks and Sizes
...
...

Friday May 31, 2013

Oracle Internet Directory 11g Benchmark on SPARC T5

SUMMARY

System Under Test (SUT)     Oracle's SPARC T5-2 server
Software     Oracle Internet Directory 11gR1-PS6
Target Load     50 million user entries
Reference URL     OID/T5 benchmark white paper

Oracle Internet Directory (OID) is an LDAP v3 Directory Server that has multi-threaded, multi-process, multi-instance process architecture with Oracle database as the directory store.


BENCHMARK WORKLOAD DESCRIPTION

Five test scenarios were executed in this benchmark - each test scenario performing a different type of LDAP operation. The key metrics are throughput -- the number of operations completed per second, and latency -- the time it took in milliseconds to complete an operation.

TEST SCENARIOS & RESULTS

1. LDAP Search operation : search for and retrieve specific entries from the directory

In this test scenario, each LDAP search operation matches a single unique entry. Each Search operation results in the lookup of an entry in such a way that no client looks up the same entry twice and no two clients lookup the same entry, and all entries are looked-up randomly.

#clients Throughput
Operations/Second
Latency
milliseconds
1,000 944,624 1.05

2. LDAP Add operation : add entries, their object classes, attributes and values to the directory

In this test scenario, 16 concurrent LDAP clients added 500,000 entries of object class InetOrgPerson with 21 attributes to the directory.

#clients Throughput
Operations/Second
Latency
milliseconds
16 1,000 15.95

3. LDAP Compare operation : compare a given attribute value to the attribute value in a directory entry

In this test scenario, userpassword attribute was compared. That is, each LDAP Compare operation matches user password of a user.

#clients Throughput
Operations/Second
Latency
milliseconds
1,000 594,426 1.68

4. LDAP Modify operation : add, delete or replace attributes for entries

In this test scenario, 50 concurrent LDAP clients updated a unique entry each time and a total of 50 million entries were updated. Attribute that is being modified was not indexed

#clients Throughput
Operations/Second
Latency
milliseconds
50 16,735 2.98

5. LDAP Authentication operation : authenticates the credentials of a user

In this test scenario, 1000 concurrent LDAP clients authenticated 50 million users.

#clients Throughput
Operations/Second
Latency
milliseconds
1,000 305,307 3.27

BONUS: LDAP Mixed operations Test

In this test scenario, 1000 LDAP clients were used to perform LDAP Search, Bind and Modify operations concurrently.
Operation breakdown (load distribution): Search: 65%. Bind: 30%. Modify: 5%

LDAP Operation #clients Throughput
Operations/Second
Latency
milliseconds
Search 650 188,832 3.86
Bind 300 87,159 1.08
Modify 50 14,528 12

And finally, the:

HARDWARE CONFIGURATION

1 x Oracle SPARC T5-2 Server
    » 2 x 3.6 GHz SPARC T5 sockets each with 16 Cores (Total Cores: 32) and 8 MB L3 cache
    » 512 GB physical memory
    » 2 x 10 GbE cards
    » 1 x Sun Storage F5100 Flash Array with 80 flash modules
    » Oracle Solaris 11.1 operating system

ACKNOWLEDGEMENTS

Major credit goes to our colleague, Ramaprakash Sathyanarayan

Friday Apr 12, 2013

Siebel 8.1.1.4 Benchmark on SPARC T5

Hardly six months after announcing Siebel 8.1.1.4 benchmark results on Oracle SPARC T4 servers, we have a brand new set of Siebel 8.1.1.4 benchmark results on Oracle SPARC T5 servers. There are no updates to the Siebel benchmark kit in the last couple years - so, we continued to use the Siebel 8.1.1.4 benchmark workload to measure the performance of Siebel Financial Services Call Center and Order Management business transactions on the recently announced SPARC T5 servers.

Benchmark Details

The latest Siebel 8.1.1.4 benchmark was executed on a mix of SPARC T5-2, SPARC T4-2 and SPARC T4-1 servers. The benchmark test simulated the actions of a large corporation with 40,000 concurrent active users. To date, this is the highest user count we achieved in a Siebel benchmark.


User Load Breakdown & Achieved Throughput

Siebel Application Module %Total Load #Users Business Trx per Hour
Financial Services Call Center 70 28,000 273,786
Order Management 30 12,000 59,553
Total     100 40,000 333,339

Average Transaction Response Times for both Financial Services Call Center and Order Management transactions were under one second.


Software & Hardware Specification

 Test Component Software Version Server Model Server Qty Per Server Specification OS
Chips Cores vCPUs CPU Speed CPU Type Memory
Application Server Siebel 8.1.1.4 SPARC T5-2 2 2 32 256 3.6 GHz SPARC-T5 512 GB Solaris 10 1/13 (S10U11)
Database Server Oracle 11g R2 11.2.0.2 SPARC T4-2 1 2 16 128 2.85 GHz SPARC-T4 256 GB Solaris 10 8/11 (S10U10)
Web Server iPlanet Web Server 7.0.9 (7 U9) SPARC T4-1 1 1 8 64 2.85 GHz SPARC-T4 128 GB Solaris 10 8/11 (S10U10)
Load Generator Oracle Application Test Suite 9.21.0043 SunFire X4200 1 2 4 4 2.6 GHz AMD Opteron 285 SE 16 GB Windows 2003 R2 SP2
Load Drivers (Agents) Oracle Application Test Suite 9.21.0043 SunFire X4170 8 2 12 12 2.93 GHz Intel Xeon X5670 48 GB Windows 2003 R2 SP2

Additional Notes:

  • Siebel Gateway Server was configured to run on one of the application server nodes
  • Four Siebel application servers were configured in the Siebel Enterprise to handle 40,000 concurrent users
    • - Each SPARC T5-2 was configured to run two Siebel application server instances
    • - Each of the Siebel application server instances on SPARC T5-2 servers were separated using Solaris virtualization technology, Zones
    • - 40,000 concurrent user sessions were load balanced across all four Siebel application server instances
  • Siebel database was hosted on a Sun Storage F5100 Flash Array consisting 80 x 24 GB flash modules (FMODs)
    • - Siebel 8.1.1.4 benchmark workload is not I/O intensive and does not require flash storage for better I/O performance
  • Fourteen iPlanet Web Server virtual servers were configured with Siebel Web Server Extension (SWSE) plug-in to handle 40,000 concurrent user load
    • - All fourteen iPlanet Web Server instances forwarded HTTP requests from Siebel clients to all four Siebel application server instances in a round robin fashion
  • Oracle Application Test Suite (OATS) was stable and held up amazingly well over the entire duration of the test run.
  • The benchmark test results were validated and thoroughly audited by the Siebel benchmark and PSR teams
    • - Nothing new here. All Sun published Siebel benchmarks including the SPARC T4 one were properly audited before releasing those to the outside world

Resource Utilization

Component #Users CPU% Memory Footprint
Gateway/Application Server 20,000 67.03 205.54 GB
Application Server 20,000 66.09 206.24 GB
Database Server 40,000 33.43 108.72 GB
Web Server 40,000 29.48 14.03 GB

Finally, how does this benchmark stack up against other published benchmarks? Short answer is "very well". Head over to the Oracle Siebel Benchmark White Papers webpage to do the comparison yourself.



[Credit to our hard working colleagues in SAE, Siebel PSR, benchmark and Oracle Platform Integration (OPI) teams. Special thanks to Sumti Jairath and Venkat Krishnaswamy for the last minute fire drill]

Copy of this blog post is also available at:
Siebel 8.1.1.4 Benchmark on SPARC T5

Tuesday Mar 05, 2013

SuperCluster Best Practices : Deploying Oracle 11g Database in Zones

To be clear, this post is about a white paper that's been out there for more than two months. Access it through the following url.

  Best Practices for Deploying Oracle Solaris Zones with Oracle Database 11g on SPARC SuperCluster

The focus of the paper is on databases and zones. On SuperCluster, customers have the choice of running their databases in logical domains that are dedicated to running Oracle Database 11g R2. With exclusive access to Exadata Storage Servers, those domains are aptly called "Database" domains. If the requirement mandates, it is possible to create and use all logical domains as "database domains" or "application domains" or a mix of those. Since the focus is on databases, the paper talks only about the database domains and how zones can be created, configured and used within each database domain for fine grained control over multiple databases consolidated in a SuperCluster environment.

When multiple databases are being consolidated (including RAC databases) in database logical domains, zones are one of the options that fulfill requirements such as the fault, operation, network, security and resource isolation, multiple RAC instances in a single logical domain, separate identity and independent manageability for database instances.

The best practices cover the following topics. Some of those are applicable to standalone, non-engineered environments as well.

Solaris Zones

  • CPU, memory and disk space allocation
  • Zone Root on Sun ZFS Storage Appliance
  • Network configuration
  • Use of DISM
  • Use of ZFS filesystem
  • SuperCluster specific zone deployment tool, ssc_exavm
  • ssctuner utility

Oracle Database

  • Exadata Storage Grid (Disk Group) Configuration
  • Disk Group Isolation
    • Shared Storage approach
    • Dedicated Storage Server approach
  • Resizing Grid Disks

Oracle RAC Configuration
Securing the Databases, and

Example Database Consolidation Scenarios

  • Consolidation example using Half-Rack SuperCluster
  • Consolidation example using Full-Rack SuperCluster

Acknowledgements

A large group of experts reviewed the material and provided quality feedback. Hence they deserve credit for their work and time. Listed below are some of those reviewers (sincere apologies if I missed listing any major contributors).

Kesari Mandyam, Binoy Sukumaran, Gowri Suserla, Allan Packer, Jennifer Glore, Hazel Alabado, Tom Daly, Krishnan Shankar, Gurubalan T, Rich long, Prasad Bagal, Lawrence To, Rene Kundersma, Raymond Dutcher, David Brean, Jeremy Ward, Suzi McDougall, Ken Kutzer, Larry Mctintosh, Roger Bitar, Mikel Manitius

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