Real-Time Quantification Filters for Multidimensional Databases
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1 PLANNING. ANALYSIS. REPORTING. Real-Time Quantification Filters for Multidimensional Databases Peter Strohm, Jedox AG
2 Jedox: In-Memory OLAP Database 00 Founded in Freiburg, Germany Today Employees - Offices in Freiburg, Frankfurt, Düsseldorf, Paris Business partners globally Jedox Suite Version 5. Business Intelligence, Analytics & Performance Management Excel-, Web-, Mobile-Client GPU Acceleration Jedox for Excel GPU Accelerator ERP, CRM, SCM Jedox Web Jedox OLAP Server Jedox ETL RDB, DWH Jedox Mobile Jedox SAP Connector SAP/R3 3 rd Party Tools ODBO XMLA SAP BI/BW
3 Jan Feb Mar Q Apr May Jun Q Jul Aug Sep Q3 Oct Nov Dec Q4 Year What is an OLAP-Database? 3 Multidimensional Cube Hierarchical Structure Consolidated Elements All regions Europe France Italy UK North America USA Canada Mexico Deviation Actual Budget 4 Elements as dimension path, value pairs Year Dimension Path Val Jan Europe Actual 4 Q Q Q3 Q4 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
4 Jan Feb Mar Q Apr May Jun Q Jul Aug Sep Q3 Oct Nov Dec Q4 Year In-Memory OLAP-Database All data in main memory All regions Europe France Italy UK North America USA Canada Mexico Deviation Actual Budget
5 Jan Feb Mar Q Apr May Jun Q Jul Aug Sep Q3 Oct Nov Dec Q4 Year In-Memory OLAP-Database All data in main memory Store only base elements All regions Europe France Italy UK North America USA Canada Mexico Deviation Actual Budget
6 Jan Feb Mar Q Apr May Jun Q Jul Aug Sep Q3 Oct Nov Dec Q4 Year In-GPU-Memory In-Memory OLAP-Database 3 GPU All data in main memory Store only base elements Store only non-zero values All regions Europe France Italy UK North America USA Canada Mexico Deviation Actual Budget 4! Calculate consolidated elements on the fly Save Memory, be up to date Year Q Q Q3 Q4 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
7 Jan Feb Mar Q Apr May Jun Q Jul Aug Sep Q3 Oct Nov Dec Q4 Year What is a Quantification Filter? ANY and ALL Quantifier on one dimension Conditional Filter All regions Europe France Italy UK North America USA Canada Mexico Deviation Actual Budget Ex Time period with any element > 0
8 Jan Feb Mar Q Apr May Jun Q Jul Aug Sep Q3 Oct Nov Dec Q4 Year What is a Quantification Filter? ANY and ALL Quantifier Conditional Filter All regions Europe France Italy UK North America USA Canada Mexico Deviation Actual Budget Ex Time period with any element > 0 Ex Region with all elements < 0
9 Jan Feb Mar Q Apr May Jun Q Jul Aug Sep Q3 Oct Nov Dec Q4 Year What is a Quantification Filter? ANY and ALL Quantifier Conditional Filter All regions Europe France Italy UK North America USA Canada Mexico Deviation Actual Budget Ex Time period with any element > 0 Ex Region with all elements < 0
10 Quantification Filter: Challenges Source Cells Preprocessing Aggregated Cells Any/All Hashtable Result Cells Pre-processing, e.g. Aggregation, Rules, etc. Condition for one dimension, e.g. value > 5
11 Is AnyProcessor FALSE TRUE Quantification Filter: Challenges TRUE Is Zero In Result? FALSE Any && 0 included Any && 0 excluded satisfied satisfied Not satisfied - Counter!= slicecellcount flag > 0 All && 0 included All && 0 excluded Not satisfied Not Satisfied - satisfied flag == 0 Counter == slicecellcount
12 Multi-GPU Quantification Filter: Algorithm Any/All Processor Preprocessed Cells condition? Check cell No Yes Put cell into hash table discard Count Result Cells Insert zeros Check Postprocessing
13 Quantification: Algortihm 3 Using hash table Skipping already checked elements Avoiding atomics and locks
14 Wikipedia Page Stats Example 3 Starting point: Big Data (743GB reduced to GB) Getting the data into the cube Getting amazing speed-up with GPU See also: blog.gbrueckl.at
15 Wikipedia Page Stats cube Pages (, Million) Languages (~360) Hours (4), Date (~360) Projects (6) 5 Measures (~4) 5 Cube has ~,48 Trillion possible cells (about 76 Million filled)
16 Wikipedia Example: Superbowl Super_Bowl ,00 Frank_Ocean 99.53,00 Tunguska_event ,00 Gangnam_Style ,00 Martin_Luther_King,_Jr ,00 Baltimore_Ravens ,00 Joe_Flacco ,00 Mardi_Gras ,00 Mumford_%6_Sons ,00 List_of_Super_Bowl_champions ,00 03_in_UFC 74.66,00 George_Washington ,00 Michael_Oher ,00 Chinese_zodiac ,00 Mohandas_Karamchand_Gandhi 6.80,00 Roman_numerals 55.79,00 List_of_Downton_Abbey_episodes 54.99,00 Beasts_of_the_Southern_Wild ,00 Alabama_Shakes ,00 San_Francisco_49ers ,00,000,0000 0,8000 0,6000 0,4000 0,000 0,0000 Top 50 Superbowl - Peak in - February Peak in February 03 - Superbowl
17 Wikipedia: Peak + QFilter-ALL 3 Top 50 Peaks in 0/3 ALL QFilter < 0.7 Correlations,000,0000 0,8000 0,6000 0,4000 0,000 0,0000 Top Elements Superbowl Peak in February && ALL other months < Baltimore_Ravens Joe_Flacco Michael_Oher Roman_numerals San_Francisco_49ers Flag_of_the_United_States Super_Bowl
18 Wikipedia: P+QfALL Performance Top 50 Peaks in 0/3 QFilter ALL < 0.7 on Pages ms ms ALL QFilter < ms ms GPU(xK40) CPU (Xeon E5-643) ms ms 3 Correlations ms ms 83x 63x 0.000ms 0.000ms 0ms 558ms en ( cells).6ms Natural languages ( cells)
19 Wikipedia: What s new in June? ALL elements > 4 June compared to Jan-May , ,00 3 ALL QFilter > 0.5 June compared to Jul-Dec No Peak but steady interest , , , , , ,00 Lycos List_of_PlayStation_4_games Aishwarya_Rai_Bachchan Nothing_Was_the_Same Pitbull_(Rapper) Billy_Ray_Cyrus , ,00 0,
20 Wikipedia: WNiJ Performance ALL elements > 4 June compared to Jan-May ALL QFilter > 0.5 June compared to Jul-Dec 0.000ms ms ms GPU(xK40) CPU (Xeon E5-643) ms 03.9ms 3 No Peak but steady interest ms ms ms 83x 63x 70x 0.000ms 0ms 558ms.6ms.466ms en ( cells) Natural languages ( cells) What's new ( cells)
21 Wikipedia: What s new (event)? Aggregation + DFilter On a daily base Francisco_(papa) Jorge_Bergoglio 3 Even more data Jorge_Mario_Bergoglio Pope_Francis Franziskus_(Papst) Papa_Francesco 00
22 Future works Multi-Node-GPU performance Fast massive & continuous insertion 3 New OLAP Features
23 Visit us in the exhibit hall! Visit at booth 030! Thanks to: Download at Tweet Mail to Alex Haberstroh, Jedox AG Tobias Lauer, Jedox AG Steffen Wittmer, Jedox AG
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