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Openpower & IBM Power Systems OpenPOWER & IBM Power Systems The best platform for PostgreSQL workload René Akeret Systems Architect IBM Switzerland [email protected] Version 1.6 PGDay 2017 | © IBM Corporation PostgresPURE and Power Systems Higher Performance Lower TCO PostgreSQL tps Price per Transaction 365’974 tps EUR 0.32 190’000 tps EUR 0.11 IBM Power S822L x86 Intel Xeon IBM Power S822L x86 Intel Xeon • 20c / 160t • 60c/ 120t • 20c / 160t • 60c/ 120t For detailed benchmark results, see Benchmark Report “Splendid Data PostgresPURE on IBM Power System S822L” (http://www.splendiddata.com/benchmark-results-postgrespure-ibm-powerlinux-8/). 2 PGDay 2017 | © IBM Corporation Agenda POWER8 Processor Technology OpenPOWER & IBM Power Systems PostgreSQL and POWER - The winning team Summary Quarter Century of POWER Legacy of Leadership Innovation Driving Client Value 14nm POWER10 2020+ POWER9 Big Data & Analytics Era Modern UNIX Era 1990 1995 2000 2005 2010 2015 2017 … 4 PGDay 2017 | © IBM Corporation POWER8 Four Level Cache Design Up to 2 TB per socket Up to 230 GB/s sustained C C C C C C Mem L4 L4 Mem L1 L1 L1 L1 L1 L1 L2 L2 L2 L2 L2 L2 Mem L4 L4 Mem Shared eDRAM L3 Mem L4 L4 Mem L2 L2 L2 L2 L2 L2 L1 L1 L1 L1 L1 L1 Mem L4 L4 Mem C C C C C C L1: 96 KB per Core L3: 96 MB shared per socket L2: 512 KB per Core L4: 16MB per memory card 5 PGDay 2017 | © IBM Corporation Cache is Critical to Good Performance Memory is slow 1 Core relative to clock cycle cache 2-100 Cache clock cycles 400-800 Memory clock cycles 6 PGDay 2017 | © IBM Corporation PostgreSQL database, server point of view Server processes Core performance • Single thread • Multithread • Throughput SMP interconnect • Bandwidth Locking • Latency Memory performance Shared memory • Bandwidth • Latency I/O performance • Bandwidth • Latency Data files 7 PGDay 2017 | © IBM Corporation Exploits POWER8 Hardware - Speed Up to Up to 230 GB/s Up to 4.35 GHz memory bandwidth 4 NVIDIA P100 GPU processors per socket workload accelerators Up to 230 MB Up to 96 GB/s cache per peak I/O bandwidth socket per socket 8 PGDay 2017 | © IBM Corporation POWER8 developed for Big Data & Analytics 4X 4X 5X threads per core vs Intel memory bandwidth vs more cache vs Intel (up to 1536 threads per Intel (up to 230MB cache per system) (up to 32TB of memory) socket) Processors Memory Cache flexible, fast execution of large, fast workspace to ensure continuous data analytics algorithms maximize business insight load for fast responses Continously Dataflow Extreme I/O Parallel Processing Flash for very good Large Memory Blocks Bandwidth performance First especially for Big Data developed Processor 9 PGDay 2017 | © IBM Corporation OpenPOWER and IBM Power Systems 10 PGDay 2017 | © IBM Corporation IBM Power Systems portfolio S822 S814 S824 • Up to 20 Cores • Up to 8 Cores • Up to 24 Cores • Up to 1TB Memory • Up to 1TB Memory • Up to 2TB Memory S812L S822L • Up to 12 Cores • Up to 24 Cores • Up to 512GB Memory • Up to 1TB Memory S824L • Up to 24 Cores • Up to 2TB Memory E850C E870C E880C • Up to 48 Cores • Up to 80 Cores • Up to 192 Cores • Up to 4TB Memory • Up to 16TB Memory • Up to 32TB Memory 11 PGDay 2017 | © IBM Corporation Power Enterprise Pools & CoD Lower Costs A B C A B C Before After • Planned maintenance • Failover clusters • Rebalance capacity • POWER8 migration 12 PGDay 2017 | © IBM Corporation Power Reliability and Availability Strategy Avoid Make soft Let Focus on errors by errors hardware planned and design harmless take care of unplanned hardware outages 13 PGDay 2017 | © IBM Corporation Virtualization Options for Power Systems Hypervisor PowerVM is Power Virtualization that will continue to be enhanced to support AIX, IBM i Workloads as well as Linux Workloads. PowerVM is supported on non-LC Systems (Exxx, Sxxx, SxxxL) KVM provides an open source choice for Power Virtualization for Linux workloads. Best for clients that aren’t familiar with Power and Linux centric admins. PowerKVM is supported on L and LC Systems 14 PGDay 2017 | © IBM Corporation IBM Power Systems run at Higher Utilization For a single workload, we require a machine capacity When we consolidate 4 workloads we 6.0x the average demand only require 3.5x average demand When we consolidate 144 workloads we only require 1.42x average demand • Fewer servers • Improved data center management • Reduced software licensing • Reduced HW & SW maintenance • Opportunity for significant growth within a single physical System ☛ Lower TCO 15 PGDay 2017 | © IBM Corporation Performance Utilization Guarantee 65% 70% 80% POWER8 POWER8 POWER8 Scale-Out E850 E870 or E880 Real TCA and TCO Savings with To qualify clients must implement each of the criteria set forth in the “POWER8 Performance Guarantee Requirements”. See IBM for full details and remediation steps IBM will take in accordance with the Guarantee. 16 PGDay 2017 | © IBM Corporation OpenPOWER Foundation - 300+ Members This is What a Revolution Looks Like 17 PGDay 2017 | © IBM Corporation OpenPOWER Linux Cluster (LC) Systems S822LC for S822LC for S812LC S822LC - GCA S821LC Big Data HPC 1 socket, 2U, Linux 2 socket, 2U, Linux Up to 20 Cores Up to 20 Cores Up to 20 Cores 8 or 10 cores 16 or 20 cores Up to 512 GB POWER8 with Up to 512 GB Up to 1 TB memory Up to 1 TB memory memory NVLink memory Up to 112 TB 2 Disks 12 HDD/SSD / Up to 1 TB memory 4 HDD/SDD / Storage 5 PCI slots NVMe 2 HDD/SDD NVMe 12+2 Disk Bays 5 PCI Slots 3 PCI Slots. 2 CAPI 4 PCI Slots 4 PCI Slots (4 CAPI, 2 K80 Up to 4 P100 GPU (3 CAPI, 1 K80 GPU) GPU) KVM / Bare Metal KVM / Bare Metal KVM / Bare Metal Bare Metal KVM / Bare Metal Hadoop & Spark Commercial Big Data HPC Compute 18 PGDay 2017 | © IBM Corporation PostgreSQL and POWER The winning team 19 PGDay 2017 | © IBM Corporation Battle: High-Density consolidation test Get the maximum number of VMs running pgbench while average response-time is < 1ms IBM Power System Intel x86 Xeon System Start “pgbench –S –j2 –c2” on 16 new VMs Number of VMs Wait 15 seconds else If average response-time is < 1ms then After 5min of stabilized run, the server who runs the more VMs wins ! 20 PGDay 2017 | © IBM Corporation Higher Scalability on Power Systems For detailed benchmark info’s, see https://www.youtube.com/watch?v=5uKuQ8nzJns&t=120s 21 PGDay 2017 | © IBM Corporation Higher Performance with Linux on POWER IBM Power System S822L x86 Intel Xeon • 20x POWER8 cores, 3.42GHz • 4x Intel Xeon 2.80GHz (60 cores) • 256 GB memory • 256 GB memory • PowerKVM, RHEL 7.1 LE, • RHEL 7.1 / PostgreSQL 9.4.4 PostgreSQL 9.4.4 365’974 transactions / second 190’000 transactions / second For detailed benchmark results (pgbench), see Benchmark Report “Splendid Data PostgresPURE on IBM Power System S822L” http://www.splendiddata.com/benchmark-results-postgrespure-ibm-powerlinux-8 22 PGDay 2017 | © IBM Corporation Lower costs with Linux on POWER IBM Power System S822L x86 Intel Xeon • 20x POWER8 cores, 3.42GHz • 4x Intel Xeon 2.80GHz (60 cores) • 256 GB memory • 256 GB memory • PowerKVM, RHEL 7.1 LE, • RHEL 7.1 / PostgreSQL 9.4.4 PostgreSQL 9.4.4 0.11 EUR / transaction 0.32 EUR / transactions For detailed benchmark results (pgbench), see Benchmark Report “Splendid Data PostgresPURE on IBM Power System S822L” http://www.splendiddata.com/benchmark-results-postgrespure-ibm-powerlinux-8 23 PGDay 2017 | © IBM Corporation Price-performance advantage guarantee For detailed benchmark info’s, see https://www-03.ibm.com/systems/power/solutions/data-platform/ 24 PGDay 2017 | © IBM Corporation IBM Linux Technology Centers • 600 developers in over 100 open source projects to improve Linux • 500+ IBM Linux SW products • Work with industry organizations to expand the use of Linux Germany Israel China United States India Brazil Australia 25 PGDay 2017 | © IBM Corporation Summary 26 PGDay 2017 | © IBM Corporation Power Systems, the best Systems for PostgreSQL workload Highest throughput per Superior virtualization and core and core/memory management features to bandwidth to deliver faster afford flexibility and business results, up to 2x maximum utilization. Intel-based alternatives. Truly open ecosystem and Lower total cost of ownership collaboration for extreme compared to virtualization on accelerator innovation with x86, including reduced industry-leading database licensing costs. technology partners 27 PGDay 2017 | © IBM Corporation Open innovation to put data to work Thank you! IBM (Switzerland) René Akeret - Systems Architect 28 28 PGDay 2017 | © IBM Corporation.
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