Ingo Brenckmann Jochen Kirsten Storage Technology Strategists SAS EMEA Copyright 2003, SAS Institute Inc. All rights reserved.
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1 Intelligent Storage Results from real life testing Ingo Brenckmann Jochen Kirsten Storage Technology Strategists SAS EMEA
2 SAS Intelligent Storage components! OLAP Server! Scalable Performance Data Server! Scalable Performance Data Engine! Base SAS Engine
3 DELL PowerEdge 6600 relevant hardware components! 4 Intel L3 XEON CPUs 1,5GHz, 1MB L3 Cache, Hyperthreading Support! System Bus 64-bit/100MHz PCI! Main Memory 4GB DDR RAM The CPUs and the memory
4 4 hyperthreaded XEONs make Windows 2000 Advanced Server "see" 8 CPUs The CPUs and the memory in Windows Task Manager
5 Relevant hardware components! 2 SCSI System Hard Disks Hitachi 32DJ-18MC, 18GB, Ultra/160, 10000RPM! 1 SCSI Controller Adaptec 2940UW, Ultra3/160 LVD The SCSI controllers
6 Relevant hardware components! 8 SCSI Test Hard Disks Fujitsu MAM 3367MC, 36GB, Ultra 160, 15000RPM! 2 RAID Controllers PERC 3/DC, 128MB, 2 Channel, Ultra3/160 LVD The eight test hard disks and four still empty drive bays
7 Ready to go!
8 Simplified system chart XEON XEON RAM XEON XEON PCI System Bus Channel 0 Channel 1 Channel 0 Channel 1 Controller 0 Controller 1
9 2 controllers/1 channel vs. 1 controller/2 channels I/O-set-up - take 1 Channel 0 Channel 1 Controller 0 Data1 Data2 Index / Work / General Purpose Data3 Data4
10 Take 1 - results 10GB Full Table Scan Elapsed Time [s] Throughput [MB/s] READ 1 thread READ 2 thread READ 4 thread READ 8 thread Number of Threads
11 2 controllers/1 channel vs. 1 controller/2 channels I/O-set-up - take 2 Controller 0 Controller 1 Channel 0 Channel 0 Data1 Data2 Index Data3 Data4 Work
12 Take 2 - results 10GB Full Table Scan Elapsed Time [s] READ 1 thread READ 2 thread READ 4 thread READ 8 thread Throughput [MB/s] Number of Threads
13 I/O-set-up Channel 0 Channel 1 Controller 0 Data Index
14 I/O-Setup various RAID-levels! 1 Controller/2 Channels 2*RAID0 (4 disks) 1*RAID10 (8 disks) 2*RAID0 (2 disks) 4*RAID0 (2 disks) 8*RAID0 (1 disk) 1*RAID0 (8 disks)! 2 Controllers/1 Channel 2*RAID0 (4 disks) 2*RAID5 (4 disks) 2*RAID0 (2 disks) 4*RAID0 (2 disks) 8*RAID0 (1 disk) 2*RAID0 (3 disks)
15 Bandwidth of different configurations Contr. / 2 Channels 2 Contr. / 1 Channel each
16 Append Performance With Constant Append Size (10% of base table) And Growing Result Table (4 indexes) Runtime [sec] SPD Engine (index online) Base Engine (index offline) Base Engine (index online) Result Table [million rows] 14 15
17 Append Performance With Same Base Table Size (10 million rows) And Increasing Append Size (4 indexes) Runtime [sec] SPD Engine (index online) Base Engine (index offline) Base Engine (index online) Append Size [rows]
18 Sort Performance (by 1 variable) Runtime [sec] SPDE BY-Sort SPDE MP-Sort BASE MP-Sort BASE Normal Sort SPDE Normal Sort
19 SPDE index creation performance! Table 100GB ( rows)! Create two indexes, 16 byte char, 8 byte numeric Synchronously: 3 hours Asynchronously: 2,5 hours
20 SAS 8 runtime statistics! CPU time is always lower than real time NOTE: PROCEDURE APPEND used (Total process time): real time 13:24.56 cpu time 12:15.42 NOTE: PROCEDURE DATASETS used (Total process time): real time 0.32 seconds cpu time 0.23 seconds
21 SAS 8 at work
22 SAS 9 runtime statistics! CPU time might be higher than real time NOTE: PROCEDURE APPEND used (Total process time): real time seconds cpu time seconds NOTE: DATA statement used (Total process time): real time 3:24.18 cpu time 9:53.67 NOTE: PROCEDURE DATASETS used (Total process time): real time 2:38.17 cpu time 4:47.28
23 SAS 9 at work
24 SAS OLAP Server Scalability Inside Parallel Parallel Storage Storage One One Thread Thread for for every every Query Query One One Aggregation Aggregation Selection Selection for for every every Region Region affected affected Configurable Configurable Cube Cube Cache Cache
25 SAS OLAP Server - Parallel Storage data data data data One One file file system system for for all all data data Data Data is is spread spread across across multiple multiple file file systems systems 1 Thread Multi-threaded
26 C02_05T3 Build Performance CPU TIME Overall CPU Time increases slightly due to thread handling CB_02_01 CB_02_02 CB_02_03 CB_02_04 CB_02_05 C02_05D2 C02_05C2 C02_05S2 C02_05D3 C02_05C3 C02_05S3 C02_05D4 C02_05C4 C02_05S4 C02_05T1 C02_05T2 1 Processor 4 Processors
27 C02_05T3 Build Performance REAL TIME Overall Real Time decreased by 78%!!! CB_02_01 CB_02_02 CB_02_03 CB_02_04 CB_02_05 C02_05D2 C02_05C2 C02_05S2 C02_05D3 C02_05C3 C02_05S3 C02_05D4 C02_05C4 C02_05S4 C02_05T1 C02_05T2 1 Processor 4 Processors
28 Building the cube with multiple threads The The magic magic behind behind the the lower lower Real Real Time: Time: MULTI-THREADING MULTI-THREADING
29 Query Performance Cubes CB_02_05 934MB C02_05D2 469MB C02_05D3 314MB C02_05D4 236MB C02_05C2 463MB C02_05C3 314MB C02_05C4 228MB C02_05S2 447MB C02_05S3 293MB S02_05S4 220MB S02_05T1 468MB C02_05T2 368MB C02_05T3 299MB
30 Multi User Environments Up to 1000 Users and still an average response time of less than a second.
31 Scaling for REAL Sun Fire 15K "72 UltraSPARC CPUs running at 1050 MHz and 8 MB E$ "288 GB RAM "Qty 16 T3 Sun StorEdge Arrays (100 MB/s Fiber Connection Per Array) "256 GB of usable disk space each array "Solaris 9 12/02 "SAS Version bit for Sun "SPDS Version 3.0TSM4
32 SPD Server on SUN 15K benchmark result highlights! 577GB table ( rows, 84 columns)! Creation of table: 2:18 hours! 4000 rows subset full table scan: 15min! Sustained I/O-bandwidth ~720MB/s! Parallel creation of four indexes: 2:11 hours! 4000 rows subset indexed search: >1s
33
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