SlideShare a Scribd company logo
1 of 60
Download to read offline
TUNING LINUX, WINDOWS AND
FIREBIRD FOR HEAVY WORKLOAD
Alex Kovyazin,
IBSurgeon
Firebird Tour 2017: Performance Optimization
Prague, Bad Sassendorf, Moscow
Firebird 2017 Tour: Performance Optimization
• Firebird Tour 2017 is organized by Firebird Project,
IBSurgeon and IBPhoenix, and devoted to Firebird
Performance
• The Platinum sponsor is Moscow Exchange
• Tour's locations and dates:
• October 3, 2017 – Prague, Czech Republic
• October 5, 2017 – Bad Sassendorf, Germany
• November 3, 2017 – Moscow, Russia
• Platinum Sponsor
• Sponsor of
• «Firebird 2.5 SQL Language Reference»
• «Firebird 3.0 SQL Language Reference»
• «Firebird 3.0 Developer Guide»
• «Firebird 3.0 Operations Guide»
• Sponsor of Firebird 2017 Tour seminars
• www.moex.com
• Replication, Recovery and
Optimization for Firebird
and InterBase since 2002
• Platinum Sponsor of
Firebird Foundation
• Based in Moscow, Russia
www.ib-aid.com
Agenda
• Real customers with big databases
• Hardware they use
• OS tuning
• CPU
• RAM
• IO
• Network
• Firebird configuration
Customer 1: http://klinikabudzdorov.ru
• BudZdorov
• Medical centers and
hospitals in Moscow,
Saint-Petersburg and
major cities in Russia
• 17 departments
• 365 days per year, from 8-
00 to 21-00
ERP with Firebird in BudZdrorov
Central
Database
Replica of
Central
Database
Department’s serverCentral server
Standby for central server
Department’s
DB
Replica dept server
Department’s
DB
17departments
BudZdorov: Central database
• Size = 453 Gb
• Daily users = from 700 to 1800 (peak)
• Hardware server
• OS = Linux CentOS 6.7
• Firebird 2.5 Classic + HQbird
• Client-server, connected through optic with departments
• With async replica on the separate server
Average users ~900
Customer 2: Customer revoked permission to publish
information 
• Customer #2
• Repair services for
xxxxx across Russia
• 365 days per year,
24x7, with 1 hour
maintenance every
day

Customer #2: Central Database
• Size = 250Gb
• Daily users from 500 to 1000 (peak)
• Hardware server
• Windows 2012R2
• Firebird 3
• Middleware (web)
Performance problems – as usual
• Long running active transactions
• Garbage collection is blocked for hours and even days
• Badly written SQLs in applications
• Peaks of load
• People are mostly sick during the winter
• Railroad has peak of loads
• Anti-failure approach
• Replica with 1 minute delay
Tuning goals
1. Tune for throughput first, then, if possible, for response
time
1. During the day users are Ok with performance
2. Problems occur only during periods of high load
2. Tune OS to get appropriate results from the powerful
hardware
General requirements for high load server
1. Not a Primary/Backup Controller/Small Business Server (Windows)
2. No Exchange (store.exe and MSSQL inside) or Sharepoint (MSSQL
inside) or dedicated MSSQL
• Each MSSQL should be restricted in memory usage
3. Not a File Server/Print Server/Terminal Server/Web server
4. If it is virtual machine, it should be really fast
5. If there is your middleware - does it benefit from being on the same
server (i.e., local protocol)?
1. If not, put it on another server
2. If yes, make sure to allocate resources
Dedicated server means dedicated!
HARDWARE
Hardware configuration in BudZdorov
• Server model: HP ProLiant DL380p Gen8 2x Xeon(R) CPU E5v2 @
2.60GHz
• 2 processors* 6 physical cores * 2 HyperThreading = 24 cores
• RAM 384Gb
• Disks:
• RAID10 array on SSDs – 680Gb – for database
• Tmpfs on SSD -158Gb
• SAN on SAS15k - 1.8Tb
• External mounted backup partition for 1.4Tb
• Network
• BroadCom NetXtreme BCM5719 Gigabit Ethernet PCIe
Hardware configuration in Customer#2
• Server model: Dell PowerEdge R810, 2x Xeon(R) CPU E5-2630
v4
• 24 cores
• RAM 256Gb
• Disks:
• RAID1 array on SSDs – 480Gb – for database
• OS on SAS15K - 160Gb
• Network
• Broadcom 57810, 10Gb/sec
TUNING OS/HARDWARE
CPU
• How to improve CPU utilization?
• How can we improve distribution of load between cores?
CPU at Linux
• irqbalance
• yum install -y irqbalance && chkconfig irqbalance on &&
service irqbalance start
• Result: better CPU load distribution, increased throughput
CPU at Windows
• Windows: only CPU_AFFINITY in Firebird configuration
• Result: some cores can be excluded from Firebird usage
(reserved for middleware/other services), less conflicts,
slightly better throughput
RAM Tuning
• How to effectively use available RAM?
• How to avoid swapping?
• Firebird settings:
• DefaultDBCachePages – page buffers cache
• FileCacheSystemThreshold – limit to use/not use file cache
• TempCacheLimit – memory space for sorting
Paged Memory
File Cache/File Buffers and Page Cache
Tuning RAM: 3 types of memory
Database fileDatabase file
Page Buffers
Kernel
Paged Memory
File Cache
RAM in case of Big Databases and Big Caches
Database fileDatabase file
Page Buffers
Kernel
Competition
OS Memory Manager vs Firebird
• If Page Buffers is more than Paged Memory, OS Memory
Manager tries to send it to swap
• Race for resources between Paged Memory and File
Cache leads to swapping
Tuning RAM on Linux
• On Linux RedHat/CentOS file cache is not limited by
default
vm.pagecache = 100 #default
• For Classic – it is more or less fine, since it uses file cache
heavily
• For SuperServer it is not great, since SS 3.0 can use many
page buffers
Recommendation is to limit file cache to 40-50%:
vm.pagecache = 50
Tuning RAM on Linux
• We know that database should be kept in RAM: need to reduce
swapping!
• vm.swappiness = 10
• vm.dirty_ratio = 60
• vm.dirty_background_ratio = 2
• vm.min_free_kbytes = 1048576
Tuning RAM at Windows
•Windows Memory Manager has the following
default scenario of using RAM:
50% paged memory
41% file cache
9% kernel
•Memory distribution can be changed in registry/role
settings
Tip: use RAMMap tool to
see memory allocation
Recommendations for RAM on Windows
• Page Buffers must be < Paged Memory (50% of RAM by
default)
• %% can be changed on Windows level
• File Cache should be On
• For Classic and SuperClassic without exceptions
• For SuperServer with databases with size more than RAM > 2x
• File Cache should be enough to keep frequently requested
parts of database
• Firebird by default has file cache enabled: condition is
DefaultDBCachePages < FileSystemCacheThreshold
When can we disable File Cache?
• File Cache can be
disabled for SuperServer
for
• Read Only databases
• For database which fits
into Page Buffers with very
low % of writes
• For databases on SSD
with small % of writes
• Test it!
Paging file tuning
• In case of balanced settings for Page Buffers and enabled
File Cache, and in case of RAM > 32Gb, page file can be
limited to 16Gb.
• Page file will work fast on SSD – but not on the SSD with
database!
• Monitor life span of SSD!
Linux: general recommendations
• Centos
• Linux version 2.6.32-642.13.1.el6.x86_64 (mockbuild@c1bm.rdu2.centos.org)
(gcc version 4.4.7 20120313 (Red Hat 4.4.7-17) (GCC) ) #1 SMP Wed Jan 11
20:56:24 UTC 2017 – not so good, better choose newer OS version
• Use fresh and popular Linux distributions: Ubuntu 16+ Server and
CentOS 7+
• Use server version of Linux distributions – it has already tuned
limits for number of open files
Linux: file and process limits
# increase max user processes ulimit
(-u) 1291632
# Increase size of file handles and inode
cache
fs.file-max = 2097152
Process forking is set to unlimited
• [root@mskv-cbd-new limits.d]# cat
/etc/security/limits.d/90-nproc.conf
• * soft nproc unlimited
• root soft nproc unlimited
• [root@mskv-cbd-new security]# sed -e 's/^[ t]*//'
/etc/security/limits.conf | grep "^[^#;]" | sort
• firebird - nofile 32768
• * soft core unlimited
/etc/xinetd.conf – the most important
# cps = 25 30 ==> configures xinetd to allow
#no more than 25 connections PER SECOND to any given
service. If this limit is reached, the service is
retired for 30 seconds.
cps = 1500 10
# Sets the maximum number of requests xinetd can
handle at once.
instances = UNLIMITED
# per_source — Defines the maximum number of
#instances for a service per source IP address
per_source = UNLIMITED
IO
•For RAID
•Write-Back
•Enable cache
•Setup ratio Reads/Writes according your load
•BBU!
• SSD!
IO on Linux: File System and Barriers
• Ext4
Since we have RAID and Enterprise SSDs with power loss
protection(and high quality hardware):
Barrier = 0 (disabled)
Disk IO on BudZdorov
• SSDs deliver high speed: 242Mb/sec
IO on Windows
• Enable disk cache (it does not work on Primary Disk
Controller)
Temp space on RAM/SSD?
• TempCacheLimit – by default it is very low, increase it!
• Temp files are created in %TEMP% or /tmp or in
TempDirectories
• Big TempCacheLimit allows to avoid temp files
• However, we still need big TempDirectories to
create/restore indices
Network
# Increase number of incoming connections
net.core.somaxconn = 4096
# Increase number of incoming connections backlog
net.core.netdev_max_backlog = 65536
# Increase the maximum amount of option memory buffers
net.core.optmem_max = 25165824
# Increase the tcp-time-wait buckets pool to prevent simple DOS attacks
net.ipv4.tcp_max_tw_buckets = 1440000
net.ipv4.tcp_tw_recycle = 1
net.ipv4.tcp_tw_reuse = 1
Network
#Number of times SYNACKs for passive TCP connection.
net.ipv4.tcp_synack_retries = 2
#Allowed local port range
net.ipv4.ip_local_port_range = 2000 65535
#Protect Against TCP Time-Wait
net.ipv4.tcp_rfc1337 = 1
#Decrease the time default value for tcp_fin_timeout connection
net.ipv4.tcp_fin_timeout = 15
#Decrease the time default value for connections to keep alive
net.ipv4.tcp_keepalive_time = 300
net.ipv4.tcp_keepalive_probes = 5
net.ipv4.tcp_keepalive_intvl = 15
Network
net.ipv4.tcp_congestion_control=htcp
net.ipv4.tcp_no_metrics_save=1
net.ipv4.tcp_moderate_rcvbuf=1
net.ipv4.tcp_slow_start_after_idle=0
net.core.rmem_default = 65536
net.core.wmem_default = 65536
net.core.rmem_max = 16777216
net.core.wmem_max = 16777216
net.ipv4.tcp_mem = 50576 64768 98152
net.ipv4.tcp_rmem = 4096 87380 16777216
net.ipv4.tcp_wmem = 4096 65536 16777216
Network queues
# For 24 CPU and 4 RX queues on NIC
cat > /root/scripts/rps_boot.sh && chmod +x /root/scripts/rps_boot.sh
bash -c 'echo 00000f > /sys/class/net/eth0/queues/rx-0/rps_cpus'
bash -c 'echo 0000f0 > /sys/class/net/eth0/queues/rx-1/rps_cpus'
bash -c 'echo 000f00 > /sys/class/net/eth0/queues/rx-2/rps_cpus'
bash -c 'echo 00f000 > /sys/class/net/eth0/queues/rx-3/rps_cpus'
bash -c 'echo 8192 > /sys/class/net/eth0/queues/rx-0/rps_flow_cnt'
bash -c 'echo 8192 > /sys/class/net/eth0/queues/rx-1/rps_flow_cnt'
bash -c 'echo 8192 > /sys/class/net/eth0/queues/rx-2/rps_flow_cnt'
bash -c 'echo 8192 > /sys/class/net/eth0/queues/rx-3/rps_flow_cnt'
#ethtool -G eth0 rx 2047
Network on Windows
• Remove unused network protocols
• Set the correct order of NICs
• Results: well, no big difference
Results from network tuning on Linux
• Much better throughput (users do not claim :)
• Significant decrease of Load Average
• Better distribution of load between CPUs
Conclusion for Linux configuration
• Use server distribution
• Use fresh version (CentOS 7+, Ubuntu Srv 16+)
• xinetd configuration is critical (due to Classic)
• Tune limits for process files, memory, file cache, and network
Conclusion for Windows Tuning
1. Main focus is on RAM tuning
2. CPU tuning is through CPU Affinity restrictions
3. Don’t forget to disable useless services/applications
4. In general Windows has far less parameters to tune, and
they are not clear
Misc Windows Tuning tips
• Enable High Performance Power Plan
• Enable background processes priority
• Disable useless services
• Prefetch/Fetch On/Off – no differences
• Desktop Heap for Classic for non Local System account
FIREBIRD CONFIGURATION
Firebird at BudZdorov
• Firebird Classic 2.5
• Why not SuperClassic?
• It is slow for more than 800 connections
• No plans to fix it, since Firebird 3 SuperServer must be used
firebird.conf
• [root@mskv-cbd-new ~]# cat /opt/firebird/firebird.conf
DefaultDbCachePages = 1024
TempCacheLimit = 67108864
TempDirectories = /dev/shm;/3par-vv1/fb_tmp;/tmp
LockHashSlots = 49009
LockMemSize = 82048576
TcpRemoteBufferSize = 1448
TempCacheLimit tips
• Default firebird.conf
• TempBlockSize = 1048576
• May increase to 2 or 3mln bytes, but not to 16mb
• TempCacheLimit = 67108864
• SuperServer and SuperClassic. Classic = 8mb.
• TempDirectories = c:temp;d:temp…
• Increase TempCacheLimit for SuperServer and SuperClassic!
Maintenance and backups
• Automatic sweep is disabled
• All connections are disconnected at 0-00
• Manual sweep is at 00-05
• Verified backup (gbak) – every day at 1am
• Replication works as a standby
Summary for 2.5
• 1500 connections and 453Gb is a acceptable load for the
Firebird 2.5
• Firebird and Linux should be tuned
• Maintenance is the key: sweep, restart of connections,
backups
• Replication is mandatory for protection, since
backup/restore takes 18 hours
Firebird at Customer#2
Firebird 3.0.2
DefaultDbCachePages = 2M
FileCacheSystemThreshold=50M
TempCacheLimit = 9G
LockHashSlots = 21001
LockMemSize = 82048576
Summary
• Firebird 3.0.2 get the biggest benefit from huge number of
page buffer (properly configured)
• Good design (short write) transactions eliminate need for
everyday restarts
Useful links
• Collection of optimized Firebird configuration files
https://ib-aid.com/en/optimized-firebird-configuration/
• Firebird Hardware Guide
https://ib-aid.com/en/articles/firebird-hardware-guide/
• 45 Ways To Speed Up Firebird
• https://ib-aid.com/en/articles/45-ways-to-speed-up-firebird-
database/
Thank you!
• Questions?
• www.ib-aid.com
• ak@ib-aid.com

More Related Content

What's hot

Step by step how to install diagnostic agent
Step by step how to install diagnostic agentStep by step how to install diagnostic agent
Step by step how to install diagnostic agentGraciete Martins
 
RichFaces 4: Rich Ajax Components For Your JSF Applications
RichFaces 4: Rich Ajax Components For Your JSF ApplicationsRichFaces 4: Rich Ajax Components For Your JSF Applications
RichFaces 4: Rich Ajax Components For Your JSF ApplicationsMax Katz
 
Odoo (OpenERP) - Creating a module
Odoo (OpenERP) - Creating a moduleOdoo (OpenERP) - Creating a module
Odoo (OpenERP) - Creating a moduleTarun Behal
 
Domino Server Health - Monitoring and Managing
 Domino Server Health - Monitoring and Managing Domino Server Health - Monitoring and Managing
Domino Server Health - Monitoring and ManagingGabriella Davis
 
IBM Connect 2014 BP103: Ready, Aim, Fire: Mastering the Latest in the Adminis...
IBM Connect 2014 BP103: Ready, Aim, Fire: Mastering the Latest in the Adminis...IBM Connect 2014 BP103: Ready, Aim, Fire: Mastering the Latest in the Adminis...
IBM Connect 2014 BP103: Ready, Aim, Fire: Mastering the Latest in the Adminis...Benedek Menesi
 
HCL Sametime 12.0 – Converting from native Domino Directory to LDAP and Migra...
HCL Sametime 12.0 – Converting from native Domino Directory to LDAP and Migra...HCL Sametime 12.0 – Converting from native Domino Directory to LDAP and Migra...
HCL Sametime 12.0 – Converting from native Domino Directory to LDAP and Migra...Ales Lichtenberg
 
Best Practice TLS for IBM Domino
Best Practice TLS for IBM DominoBest Practice TLS for IBM Domino
Best Practice TLS for IBM DominoJared Roberts
 
Engage2022 - Domino Admin Tips
Engage2022 - Domino Admin TipsEngage2022 - Domino Admin Tips
Engage2022 - Domino Admin TipsGabriella Davis
 
Sap activate introducing sa ps next generation, agile-based methodology
Sap activate   introducing sa ps next generation, agile-based methodologySap activate   introducing sa ps next generation, agile-based methodology
Sap activate introducing sa ps next generation, agile-based methodologySantosh Peddi
 
RNUG - HCL Notes V11 Performance Boost
RNUG - HCL Notes V11 Performance BoostRNUG - HCL Notes V11 Performance Boost
RNUG - HCL Notes V11 Performance BoostChristoph Adler
 
Installing & Configuring IBM Domino 9 on CentOS
Installing & Configuring IBM Domino 9 on CentOSInstalling & Configuring IBM Domino 9 on CentOS
Installing & Configuring IBM Domino 9 on CentOSDevin Olson
 
Bewährte Praktiken für HCL Notes/Domino-Sicherheit. Teil 2: Der Domino-Server
Bewährte Praktiken für HCL Notes/Domino-Sicherheit. Teil 2: Der Domino-ServerBewährte Praktiken für HCL Notes/Domino-Sicherheit. Teil 2: Der Domino-Server
Bewährte Praktiken für HCL Notes/Domino-Sicherheit. Teil 2: Der Domino-Serverpanagenda
 

What's hot (13)

Step by step how to install diagnostic agent
Step by step how to install diagnostic agentStep by step how to install diagnostic agent
Step by step how to install diagnostic agent
 
RichFaces 4: Rich Ajax Components For Your JSF Applications
RichFaces 4: Rich Ajax Components For Your JSF ApplicationsRichFaces 4: Rich Ajax Components For Your JSF Applications
RichFaces 4: Rich Ajax Components For Your JSF Applications
 
HCL Domino V12 - TOTP
HCL Domino V12 - TOTPHCL Domino V12 - TOTP
HCL Domino V12 - TOTP
 
Odoo (OpenERP) - Creating a module
Odoo (OpenERP) - Creating a moduleOdoo (OpenERP) - Creating a module
Odoo (OpenERP) - Creating a module
 
Domino Server Health - Monitoring and Managing
 Domino Server Health - Monitoring and Managing Domino Server Health - Monitoring and Managing
Domino Server Health - Monitoring and Managing
 
IBM Connect 2014 BP103: Ready, Aim, Fire: Mastering the Latest in the Adminis...
IBM Connect 2014 BP103: Ready, Aim, Fire: Mastering the Latest in the Adminis...IBM Connect 2014 BP103: Ready, Aim, Fire: Mastering the Latest in the Adminis...
IBM Connect 2014 BP103: Ready, Aim, Fire: Mastering the Latest in the Adminis...
 
HCL Sametime 12.0 – Converting from native Domino Directory to LDAP and Migra...
HCL Sametime 12.0 – Converting from native Domino Directory to LDAP and Migra...HCL Sametime 12.0 – Converting from native Domino Directory to LDAP and Migra...
HCL Sametime 12.0 – Converting from native Domino Directory to LDAP and Migra...
 
Best Practice TLS for IBM Domino
Best Practice TLS for IBM DominoBest Practice TLS for IBM Domino
Best Practice TLS for IBM Domino
 
Engage2022 - Domino Admin Tips
Engage2022 - Domino Admin TipsEngage2022 - Domino Admin Tips
Engage2022 - Domino Admin Tips
 
Sap activate introducing sa ps next generation, agile-based methodology
Sap activate   introducing sa ps next generation, agile-based methodologySap activate   introducing sa ps next generation, agile-based methodology
Sap activate introducing sa ps next generation, agile-based methodology
 
RNUG - HCL Notes V11 Performance Boost
RNUG - HCL Notes V11 Performance BoostRNUG - HCL Notes V11 Performance Boost
RNUG - HCL Notes V11 Performance Boost
 
Installing & Configuring IBM Domino 9 on CentOS
Installing & Configuring IBM Domino 9 on CentOSInstalling & Configuring IBM Domino 9 on CentOS
Installing & Configuring IBM Domino 9 on CentOS
 
Bewährte Praktiken für HCL Notes/Domino-Sicherheit. Teil 2: Der Domino-Server
Bewährte Praktiken für HCL Notes/Domino-Sicherheit. Teil 2: Der Domino-ServerBewährte Praktiken für HCL Notes/Domino-Sicherheit. Teil 2: Der Domino-Server
Bewährte Praktiken für HCL Notes/Domino-Sicherheit. Teil 2: Der Domino-Server
 

Similar to Tuning Linux Windows and Firebird for Heavy Workload

MySQL Performance Tuning London Meetup June 2017
MySQL Performance Tuning London Meetup June 2017MySQL Performance Tuning London Meetup June 2017
MySQL Performance Tuning London Meetup June 2017Ivan Zoratti
 
Deployment Strategy
Deployment StrategyDeployment Strategy
Deployment StrategyMongoDB
 
Maximizing performance via tuning and optimization
Maximizing performance via tuning and optimizationMaximizing performance via tuning and optimization
Maximizing performance via tuning and optimizationMariaDB plc
 
Maximizing performance via tuning and optimization
Maximizing performance via tuning and optimizationMaximizing performance via tuning and optimization
Maximizing performance via tuning and optimizationMariaDB plc
 
EECI 2013 - ExpressionEngine Performance & Optimization - Laying a Solid Foun...
EECI 2013 - ExpressionEngine Performance & Optimization - Laying a Solid Foun...EECI 2013 - ExpressionEngine Performance & Optimization - Laying a Solid Foun...
EECI 2013 - ExpressionEngine Performance & Optimization - Laying a Solid Foun...Nexcess.net LLC
 
Taking Splunk to the Next Level - Architecture Breakout Session
Taking Splunk to the Next Level - Architecture Breakout SessionTaking Splunk to the Next Level - Architecture Breakout Session
Taking Splunk to the Next Level - Architecture Breakout SessionSplunk
 
Deployment Strategies
Deployment StrategiesDeployment Strategies
Deployment StrategiesMongoDB
 
Storage and performance- Batch processing, Whiptail
Storage and performance- Batch processing, WhiptailStorage and performance- Batch processing, Whiptail
Storage and performance- Batch processing, WhiptailInternet World
 
Capacity Planning
Capacity PlanningCapacity Planning
Capacity PlanningMongoDB
 
Windows Server 2012 R2 Software-Defined Storage
Windows Server 2012 R2 Software-Defined StorageWindows Server 2012 R2 Software-Defined Storage
Windows Server 2012 R2 Software-Defined StorageAidan Finn
 
Oracle Performance On Linux X86 systems
Oracle  Performance On Linux  X86 systems Oracle  Performance On Linux  X86 systems
Oracle Performance On Linux X86 systems Baruch Osoveskiy
 
MongoDB and Amazon Web Services: Storage Options for MongoDB Deployments
MongoDB and Amazon Web Services: Storage Options for MongoDB DeploymentsMongoDB and Amazon Web Services: Storage Options for MongoDB Deployments
MongoDB and Amazon Web Services: Storage Options for MongoDB DeploymentsMongoDB
 
Red Hat Ceph Storage Acceleration Utilizing Flash Technology
Red Hat Ceph Storage Acceleration Utilizing Flash Technology Red Hat Ceph Storage Acceleration Utilizing Flash Technology
Red Hat Ceph Storage Acceleration Utilizing Flash Technology Red_Hat_Storage
 
Modeling, estimating, and predicting Ceph (Linux Foundation - Vault 2015)
Modeling, estimating, and predicting Ceph (Linux Foundation - Vault 2015)Modeling, estimating, and predicting Ceph (Linux Foundation - Vault 2015)
Modeling, estimating, and predicting Ceph (Linux Foundation - Vault 2015)Lars Marowsky-Brée
 
Storage talk
Storage talkStorage talk
Storage talkchristkv
 
Cloud computing UNIT 2.1 presentation in
Cloud computing UNIT 2.1 presentation inCloud computing UNIT 2.1 presentation in
Cloud computing UNIT 2.1 presentation inRahulBhole12
 
Deployment Strategies (Mongo Austin)
Deployment Strategies (Mongo Austin)Deployment Strategies (Mongo Austin)
Deployment Strategies (Mongo Austin)MongoDB
 
Deploying ssd in the data center 2014
Deploying ssd in the data center 2014Deploying ssd in the data center 2014
Deploying ssd in the data center 2014Howard Marks
 
Using flash on the server side
Using flash on the server sideUsing flash on the server side
Using flash on the server sideHoward Marks
 

Similar to Tuning Linux Windows and Firebird for Heavy Workload (20)

MySQL Performance Tuning London Meetup June 2017
MySQL Performance Tuning London Meetup June 2017MySQL Performance Tuning London Meetup June 2017
MySQL Performance Tuning London Meetup June 2017
 
Deployment Strategy
Deployment StrategyDeployment Strategy
Deployment Strategy
 
Maximizing performance via tuning and optimization
Maximizing performance via tuning and optimizationMaximizing performance via tuning and optimization
Maximizing performance via tuning and optimization
 
Maximizing performance via tuning and optimization
Maximizing performance via tuning and optimizationMaximizing performance via tuning and optimization
Maximizing performance via tuning and optimization
 
EECI 2013 - ExpressionEngine Performance & Optimization - Laying a Solid Foun...
EECI 2013 - ExpressionEngine Performance & Optimization - Laying a Solid Foun...EECI 2013 - ExpressionEngine Performance & Optimization - Laying a Solid Foun...
EECI 2013 - ExpressionEngine Performance & Optimization - Laying a Solid Foun...
 
Taking Splunk to the Next Level - Architecture Breakout Session
Taking Splunk to the Next Level - Architecture Breakout SessionTaking Splunk to the Next Level - Architecture Breakout Session
Taking Splunk to the Next Level - Architecture Breakout Session
 
Deployment Strategies
Deployment StrategiesDeployment Strategies
Deployment Strategies
 
Storage and performance- Batch processing, Whiptail
Storage and performance- Batch processing, WhiptailStorage and performance- Batch processing, Whiptail
Storage and performance- Batch processing, Whiptail
 
Capacity Planning
Capacity PlanningCapacity Planning
Capacity Planning
 
Windows Server 2012 R2 Software-Defined Storage
Windows Server 2012 R2 Software-Defined StorageWindows Server 2012 R2 Software-Defined Storage
Windows Server 2012 R2 Software-Defined Storage
 
Oracle Performance On Linux X86 systems
Oracle  Performance On Linux  X86 systems Oracle  Performance On Linux  X86 systems
Oracle Performance On Linux X86 systems
 
MongoDB and Amazon Web Services: Storage Options for MongoDB Deployments
MongoDB and Amazon Web Services: Storage Options for MongoDB DeploymentsMongoDB and Amazon Web Services: Storage Options for MongoDB Deployments
MongoDB and Amazon Web Services: Storage Options for MongoDB Deployments
 
Red Hat Ceph Storage Acceleration Utilizing Flash Technology
Red Hat Ceph Storage Acceleration Utilizing Flash Technology Red Hat Ceph Storage Acceleration Utilizing Flash Technology
Red Hat Ceph Storage Acceleration Utilizing Flash Technology
 
Modeling, estimating, and predicting Ceph (Linux Foundation - Vault 2015)
Modeling, estimating, and predicting Ceph (Linux Foundation - Vault 2015)Modeling, estimating, and predicting Ceph (Linux Foundation - Vault 2015)
Modeling, estimating, and predicting Ceph (Linux Foundation - Vault 2015)
 
Storage talk
Storage talkStorage talk
Storage talk
 
Cloud computing UNIT 2.1 presentation in
Cloud computing UNIT 2.1 presentation inCloud computing UNIT 2.1 presentation in
Cloud computing UNIT 2.1 presentation in
 
Deployment Strategies (Mongo Austin)
Deployment Strategies (Mongo Austin)Deployment Strategies (Mongo Austin)
Deployment Strategies (Mongo Austin)
 
Drupal performance
Drupal performanceDrupal performance
Drupal performance
 
Deploying ssd in the data center 2014
Deploying ssd in the data center 2014Deploying ssd in the data center 2014
Deploying ssd in the data center 2014
 
Using flash on the server side
Using flash on the server sideUsing flash on the server side
Using flash on the server side
 

More from Marius Adrian Popa

Python with Firebird: FDB driver 101
Python with Firebird: FDB driver 101Python with Firebird: FDB driver 101
Python with Firebird: FDB driver 101Marius Adrian Popa
 
The State of the Romanian Game Developers Industry Rgda 2019 report
The State of the Romanian Game Developers Industry Rgda 2019 reportThe State of the Romanian Game Developers Industry Rgda 2019 report
The State of the Romanian Game Developers Industry Rgda 2019 reportMarius Adrian Popa
 
Understanding the firebird optimizer
Understanding the firebird optimizerUnderstanding the firebird optimizer
Understanding the firebird optimizerMarius Adrian Popa
 
Firebird 3.0 statistics and plans
Firebird 3.0 statistics and plansFirebird 3.0 statistics and plans
Firebird 3.0 statistics and plansMarius Adrian Popa
 
Firebird Performance 2.5/3.0.x/4.0
 Firebird Performance 2.5/3.0.x/4.0 Firebird Performance 2.5/3.0.x/4.0
Firebird Performance 2.5/3.0.x/4.0Marius Adrian Popa
 

More from Marius Adrian Popa (11)

Python with Firebird: FDB driver 101
Python with Firebird: FDB driver 101Python with Firebird: FDB driver 101
Python with Firebird: FDB driver 101
 
The State of the Romanian Game Developers Industry Rgda 2019 report
The State of the Romanian Game Developers Industry Rgda 2019 reportThe State of the Romanian Game Developers Industry Rgda 2019 report
The State of the Romanian Game Developers Industry Rgda 2019 report
 
Understanding the firebird optimizer
Understanding the firebird optimizerUnderstanding the firebird optimizer
Understanding the firebird optimizer
 
Firebird Advanced Trace API
Firebird Advanced Trace API Firebird Advanced Trace API
Firebird Advanced Trace API
 
Firebird 3.0 statistics and plans
Firebird 3.0 statistics and plansFirebird 3.0 statistics and plans
Firebird 3.0 statistics and plans
 
Firebird Performance 2.5/3.0.x/4.0
 Firebird Performance 2.5/3.0.x/4.0 Firebird Performance 2.5/3.0.x/4.0
Firebird Performance 2.5/3.0.x/4.0
 
Django firebird project
Django firebird projectDjango firebird project
Django firebird project
 
Proiectul django firebird
Proiectul django firebirdProiectul django firebird
Proiectul django firebird
 
Firebird Myths in Romanian
Firebird Myths in RomanianFirebird Myths in Romanian
Firebird Myths in Romanian
 
2 Firebird Technical Ro
2 Firebird Technical Ro2 Firebird Technical Ro
2 Firebird Technical Ro
 
0 What Is Mind The Bird Ro
0 What Is Mind The Bird Ro0 What Is Mind The Bird Ro
0 What Is Mind The Bird Ro
 

Recently uploaded

Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsappssapnasaifi408
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPTBoston Institute of Analytics
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...limedy534
 
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...soniya singh
 
MK KOMUNIKASI DATA (TI)komdat komdat.docx
MK KOMUNIKASI DATA (TI)komdat komdat.docxMK KOMUNIKASI DATA (TI)komdat komdat.docx
MK KOMUNIKASI DATA (TI)komdat komdat.docxUnduhUnggah1
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)jennyeacort
 
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档208367051
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfJohn Sterrett
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...dajasot375
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfSocial Samosa
 
Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanMYRABACSAFRA2
 
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSINGmarianagonzalez07
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfBoston Institute of Analytics
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdfHuman37
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一F sss
 
Call Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceCall Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceSapana Sha
 

Recently uploaded (20)

Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
 
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
 
MK KOMUNIKASI DATA (TI)komdat komdat.docx
MK KOMUNIKASI DATA (TI)komdat komdat.docxMK KOMUNIKASI DATA (TI)komdat komdat.docx
MK KOMUNIKASI DATA (TI)komdat komdat.docx
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
 
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdf
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
 
Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population Mean
 
Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
 
Call Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceCall Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts Service
 

Tuning Linux Windows and Firebird for Heavy Workload

  • 1. TUNING LINUX, WINDOWS AND FIREBIRD FOR HEAVY WORKLOAD Alex Kovyazin, IBSurgeon Firebird Tour 2017: Performance Optimization Prague, Bad Sassendorf, Moscow
  • 2. Firebird 2017 Tour: Performance Optimization • Firebird Tour 2017 is organized by Firebird Project, IBSurgeon and IBPhoenix, and devoted to Firebird Performance • The Platinum sponsor is Moscow Exchange • Tour's locations and dates: • October 3, 2017 – Prague, Czech Republic • October 5, 2017 – Bad Sassendorf, Germany • November 3, 2017 – Moscow, Russia
  • 3. • Platinum Sponsor • Sponsor of • «Firebird 2.5 SQL Language Reference» • «Firebird 3.0 SQL Language Reference» • «Firebird 3.0 Developer Guide» • «Firebird 3.0 Operations Guide» • Sponsor of Firebird 2017 Tour seminars • www.moex.com
  • 4. • Replication, Recovery and Optimization for Firebird and InterBase since 2002 • Platinum Sponsor of Firebird Foundation • Based in Moscow, Russia www.ib-aid.com
  • 5. Agenda • Real customers with big databases • Hardware they use • OS tuning • CPU • RAM • IO • Network • Firebird configuration
  • 6. Customer 1: http://klinikabudzdorov.ru • BudZdorov • Medical centers and hospitals in Moscow, Saint-Petersburg and major cities in Russia • 17 departments • 365 days per year, from 8- 00 to 21-00
  • 7. ERP with Firebird in BudZdrorov Central Database Replica of Central Database Department’s serverCentral server Standby for central server Department’s DB Replica dept server Department’s DB 17departments
  • 8. BudZdorov: Central database • Size = 453 Gb • Daily users = from 700 to 1800 (peak) • Hardware server • OS = Linux CentOS 6.7 • Firebird 2.5 Classic + HQbird • Client-server, connected through optic with departments • With async replica on the separate server
  • 9.
  • 11. Customer 2: Customer revoked permission to publish information  • Customer #2 • Repair services for xxxxx across Russia • 365 days per year, 24x7, with 1 hour maintenance every day 
  • 12. Customer #2: Central Database • Size = 250Gb • Daily users from 500 to 1000 (peak) • Hardware server • Windows 2012R2 • Firebird 3 • Middleware (web)
  • 13. Performance problems – as usual • Long running active transactions • Garbage collection is blocked for hours and even days • Badly written SQLs in applications • Peaks of load • People are mostly sick during the winter • Railroad has peak of loads • Anti-failure approach • Replica with 1 minute delay
  • 14. Tuning goals 1. Tune for throughput first, then, if possible, for response time 1. During the day users are Ok with performance 2. Problems occur only during periods of high load 2. Tune OS to get appropriate results from the powerful hardware
  • 15. General requirements for high load server 1. Not a Primary/Backup Controller/Small Business Server (Windows) 2. No Exchange (store.exe and MSSQL inside) or Sharepoint (MSSQL inside) or dedicated MSSQL • Each MSSQL should be restricted in memory usage 3. Not a File Server/Print Server/Terminal Server/Web server 4. If it is virtual machine, it should be really fast 5. If there is your middleware - does it benefit from being on the same server (i.e., local protocol)? 1. If not, put it on another server 2. If yes, make sure to allocate resources Dedicated server means dedicated!
  • 17. Hardware configuration in BudZdorov • Server model: HP ProLiant DL380p Gen8 2x Xeon(R) CPU E5v2 @ 2.60GHz • 2 processors* 6 physical cores * 2 HyperThreading = 24 cores • RAM 384Gb • Disks: • RAID10 array on SSDs – 680Gb – for database • Tmpfs on SSD -158Gb • SAN on SAS15k - 1.8Tb • External mounted backup partition for 1.4Tb • Network • BroadCom NetXtreme BCM5719 Gigabit Ethernet PCIe
  • 18. Hardware configuration in Customer#2 • Server model: Dell PowerEdge R810, 2x Xeon(R) CPU E5-2630 v4 • 24 cores • RAM 256Gb • Disks: • RAID1 array on SSDs – 480Gb – for database • OS on SAS15K - 160Gb • Network • Broadcom 57810, 10Gb/sec
  • 20. CPU • How to improve CPU utilization? • How can we improve distribution of load between cores?
  • 21. CPU at Linux • irqbalance • yum install -y irqbalance && chkconfig irqbalance on && service irqbalance start • Result: better CPU load distribution, increased throughput
  • 22. CPU at Windows • Windows: only CPU_AFFINITY in Firebird configuration • Result: some cores can be excluded from Firebird usage (reserved for middleware/other services), less conflicts, slightly better throughput
  • 23. RAM Tuning • How to effectively use available RAM? • How to avoid swapping? • Firebird settings: • DefaultDBCachePages – page buffers cache • FileCacheSystemThreshold – limit to use/not use file cache • TempCacheLimit – memory space for sorting
  • 24. Paged Memory File Cache/File Buffers and Page Cache Tuning RAM: 3 types of memory Database fileDatabase file Page Buffers Kernel
  • 25. Paged Memory File Cache RAM in case of Big Databases and Big Caches Database fileDatabase file Page Buffers Kernel Competition
  • 26. OS Memory Manager vs Firebird • If Page Buffers is more than Paged Memory, OS Memory Manager tries to send it to swap • Race for resources between Paged Memory and File Cache leads to swapping
  • 27. Tuning RAM on Linux • On Linux RedHat/CentOS file cache is not limited by default vm.pagecache = 100 #default • For Classic – it is more or less fine, since it uses file cache heavily • For SuperServer it is not great, since SS 3.0 can use many page buffers Recommendation is to limit file cache to 40-50%: vm.pagecache = 50
  • 28. Tuning RAM on Linux • We know that database should be kept in RAM: need to reduce swapping! • vm.swappiness = 10 • vm.dirty_ratio = 60 • vm.dirty_background_ratio = 2 • vm.min_free_kbytes = 1048576
  • 29. Tuning RAM at Windows •Windows Memory Manager has the following default scenario of using RAM: 50% paged memory 41% file cache 9% kernel •Memory distribution can be changed in registry/role settings Tip: use RAMMap tool to see memory allocation
  • 30. Recommendations for RAM on Windows • Page Buffers must be < Paged Memory (50% of RAM by default) • %% can be changed on Windows level • File Cache should be On • For Classic and SuperClassic without exceptions • For SuperServer with databases with size more than RAM > 2x • File Cache should be enough to keep frequently requested parts of database • Firebird by default has file cache enabled: condition is DefaultDBCachePages < FileSystemCacheThreshold
  • 31. When can we disable File Cache? • File Cache can be disabled for SuperServer for • Read Only databases • For database which fits into Page Buffers with very low % of writes • For databases on SSD with small % of writes • Test it!
  • 32. Paging file tuning • In case of balanced settings for Page Buffers and enabled File Cache, and in case of RAM > 32Gb, page file can be limited to 16Gb. • Page file will work fast on SSD – but not on the SSD with database! • Monitor life span of SSD!
  • 33. Linux: general recommendations • Centos • Linux version 2.6.32-642.13.1.el6.x86_64 (mockbuild@c1bm.rdu2.centos.org) (gcc version 4.4.7 20120313 (Red Hat 4.4.7-17) (GCC) ) #1 SMP Wed Jan 11 20:56:24 UTC 2017 – not so good, better choose newer OS version • Use fresh and popular Linux distributions: Ubuntu 16+ Server and CentOS 7+ • Use server version of Linux distributions – it has already tuned limits for number of open files
  • 34. Linux: file and process limits # increase max user processes ulimit (-u) 1291632 # Increase size of file handles and inode cache fs.file-max = 2097152
  • 35. Process forking is set to unlimited • [root@mskv-cbd-new limits.d]# cat /etc/security/limits.d/90-nproc.conf • * soft nproc unlimited • root soft nproc unlimited • [root@mskv-cbd-new security]# sed -e 's/^[ t]*//' /etc/security/limits.conf | grep "^[^#;]" | sort • firebird - nofile 32768 • * soft core unlimited
  • 36. /etc/xinetd.conf – the most important # cps = 25 30 ==> configures xinetd to allow #no more than 25 connections PER SECOND to any given service. If this limit is reached, the service is retired for 30 seconds. cps = 1500 10 # Sets the maximum number of requests xinetd can handle at once. instances = UNLIMITED # per_source — Defines the maximum number of #instances for a service per source IP address per_source = UNLIMITED
  • 37. IO •For RAID •Write-Back •Enable cache •Setup ratio Reads/Writes according your load •BBU! • SSD!
  • 38. IO on Linux: File System and Barriers • Ext4 Since we have RAID and Enterprise SSDs with power loss protection(and high quality hardware): Barrier = 0 (disabled)
  • 39. Disk IO on BudZdorov • SSDs deliver high speed: 242Mb/sec
  • 40. IO on Windows • Enable disk cache (it does not work on Primary Disk Controller)
  • 41. Temp space on RAM/SSD? • TempCacheLimit – by default it is very low, increase it! • Temp files are created in %TEMP% or /tmp or in TempDirectories • Big TempCacheLimit allows to avoid temp files • However, we still need big TempDirectories to create/restore indices
  • 42. Network # Increase number of incoming connections net.core.somaxconn = 4096 # Increase number of incoming connections backlog net.core.netdev_max_backlog = 65536 # Increase the maximum amount of option memory buffers net.core.optmem_max = 25165824 # Increase the tcp-time-wait buckets pool to prevent simple DOS attacks net.ipv4.tcp_max_tw_buckets = 1440000 net.ipv4.tcp_tw_recycle = 1 net.ipv4.tcp_tw_reuse = 1
  • 43. Network #Number of times SYNACKs for passive TCP connection. net.ipv4.tcp_synack_retries = 2 #Allowed local port range net.ipv4.ip_local_port_range = 2000 65535 #Protect Against TCP Time-Wait net.ipv4.tcp_rfc1337 = 1 #Decrease the time default value for tcp_fin_timeout connection net.ipv4.tcp_fin_timeout = 15 #Decrease the time default value for connections to keep alive net.ipv4.tcp_keepalive_time = 300 net.ipv4.tcp_keepalive_probes = 5 net.ipv4.tcp_keepalive_intvl = 15
  • 44. Network net.ipv4.tcp_congestion_control=htcp net.ipv4.tcp_no_metrics_save=1 net.ipv4.tcp_moderate_rcvbuf=1 net.ipv4.tcp_slow_start_after_idle=0 net.core.rmem_default = 65536 net.core.wmem_default = 65536 net.core.rmem_max = 16777216 net.core.wmem_max = 16777216 net.ipv4.tcp_mem = 50576 64768 98152 net.ipv4.tcp_rmem = 4096 87380 16777216 net.ipv4.tcp_wmem = 4096 65536 16777216
  • 45. Network queues # For 24 CPU and 4 RX queues on NIC cat > /root/scripts/rps_boot.sh && chmod +x /root/scripts/rps_boot.sh bash -c 'echo 00000f > /sys/class/net/eth0/queues/rx-0/rps_cpus' bash -c 'echo 0000f0 > /sys/class/net/eth0/queues/rx-1/rps_cpus' bash -c 'echo 000f00 > /sys/class/net/eth0/queues/rx-2/rps_cpus' bash -c 'echo 00f000 > /sys/class/net/eth0/queues/rx-3/rps_cpus' bash -c 'echo 8192 > /sys/class/net/eth0/queues/rx-0/rps_flow_cnt' bash -c 'echo 8192 > /sys/class/net/eth0/queues/rx-1/rps_flow_cnt' bash -c 'echo 8192 > /sys/class/net/eth0/queues/rx-2/rps_flow_cnt' bash -c 'echo 8192 > /sys/class/net/eth0/queues/rx-3/rps_flow_cnt' #ethtool -G eth0 rx 2047
  • 46. Network on Windows • Remove unused network protocols • Set the correct order of NICs • Results: well, no big difference
  • 47. Results from network tuning on Linux • Much better throughput (users do not claim :) • Significant decrease of Load Average • Better distribution of load between CPUs
  • 48. Conclusion for Linux configuration • Use server distribution • Use fresh version (CentOS 7+, Ubuntu Srv 16+) • xinetd configuration is critical (due to Classic) • Tune limits for process files, memory, file cache, and network
  • 49. Conclusion for Windows Tuning 1. Main focus is on RAM tuning 2. CPU tuning is through CPU Affinity restrictions 3. Don’t forget to disable useless services/applications 4. In general Windows has far less parameters to tune, and they are not clear
  • 50. Misc Windows Tuning tips • Enable High Performance Power Plan • Enable background processes priority • Disable useless services • Prefetch/Fetch On/Off – no differences • Desktop Heap for Classic for non Local System account
  • 52. Firebird at BudZdorov • Firebird Classic 2.5 • Why not SuperClassic? • It is slow for more than 800 connections • No plans to fix it, since Firebird 3 SuperServer must be used
  • 53. firebird.conf • [root@mskv-cbd-new ~]# cat /opt/firebird/firebird.conf DefaultDbCachePages = 1024 TempCacheLimit = 67108864 TempDirectories = /dev/shm;/3par-vv1/fb_tmp;/tmp LockHashSlots = 49009 LockMemSize = 82048576 TcpRemoteBufferSize = 1448
  • 54. TempCacheLimit tips • Default firebird.conf • TempBlockSize = 1048576 • May increase to 2 or 3mln bytes, but not to 16mb • TempCacheLimit = 67108864 • SuperServer and SuperClassic. Classic = 8mb. • TempDirectories = c:temp;d:temp… • Increase TempCacheLimit for SuperServer and SuperClassic!
  • 55. Maintenance and backups • Automatic sweep is disabled • All connections are disconnected at 0-00 • Manual sweep is at 00-05 • Verified backup (gbak) – every day at 1am • Replication works as a standby
  • 56. Summary for 2.5 • 1500 connections and 453Gb is a acceptable load for the Firebird 2.5 • Firebird and Linux should be tuned • Maintenance is the key: sweep, restart of connections, backups • Replication is mandatory for protection, since backup/restore takes 18 hours
  • 57. Firebird at Customer#2 Firebird 3.0.2 DefaultDbCachePages = 2M FileCacheSystemThreshold=50M TempCacheLimit = 9G LockHashSlots = 21001 LockMemSize = 82048576
  • 58. Summary • Firebird 3.0.2 get the biggest benefit from huge number of page buffer (properly configured) • Good design (short write) transactions eliminate need for everyday restarts
  • 59. Useful links • Collection of optimized Firebird configuration files https://ib-aid.com/en/optimized-firebird-configuration/ • Firebird Hardware Guide https://ib-aid.com/en/articles/firebird-hardware-guide/ • 45 Ways To Speed Up Firebird • https://ib-aid.com/en/articles/45-ways-to-speed-up-firebird- database/
  • 60. Thank you! • Questions? • www.ib-aid.com • ak@ib-aid.com