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RDBMS
PERFORMANCE BENCHMARKS
ed to quantify performance of software systems.
ough for complex systems.
asures:
nsactions per second or TPS)
put of different transaction types.
stem A runs transaction type T1 at 99 tps and transaction type T2 at 1 tps and other system runs B both
g TPS is wrong!
sactions of each type
tem A : T1 (0.01s) T2 ( 1s)  need 50.5 sec
tem B : T1 (0.02s) T2 (0.02s)  need 2 sec
stead, HARMONIC MEAN of n throghputs t1,t2….tn :
harmonic mean = [ n / ( 1/t1 + 1/t2 + …. + 1/tn )]
he harmonic mean for System B is 25 times faster than System A
terference (eg: Lock Contention) makes even this incorrect if different transaction types run concurre
Database Application Classes
nsaction Processing (OLTP)
high concurrency and clever techniques to speed up commit processing, to support a high rate of update
upport Applications
Online Analytical Processing
ood query evaluation algorithms and query optimization
re of some database systems tuned to one of the two classes
ata DBMS is tuned to decision support
to balance the two requirements
e, with snapshot support for long read-only transaction
Transaction Benchmarks Suites
• The transaction processing council (TPC) benchmark suites are widely used.
• TPC – A and TPC – B : used in bank teller applications with and without application
• TPC – C : used in inventory systems
• TPC – D : complex decision support applications
• TPC – H : (H and ad hoc) with some extra queries, total number of 22 queries
- prohibits materializes views
- permits indices only on primary and foreign keys
• TPC – R : (R for reporting) same as TPC-H, but without any restrictions on materialized views and indices
• TPC – W : (W for web) End to End web service benchmark modelling a web bookstore
TPC Performance Measures
ctions- per- second with specified constraints on response time
ctions- per – second per dollar accounts for cost of owning system
nchmark requires database sizes to be scaled up with increasing transactions-per-second
s real world applications where more customers means more database size and more transactions-pe
al audit of TPC performance numbers is mandatory
rformance claims can be trusted
Sample TPC performance measures
• Two types of tests of TPC-H (ad hoc) and TPC-R (report)
- power metric test
takes mean to find queries per hour
- throughput metric test
multiple streams running in parallel, each stream generates queries, with one parallel update stream
• Composite “Query per hour” metric :
Square root of (power metric * throughput metric)
• Composite “price vs. performance” metric :
System price / composite metric
THANK YOU !!

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RelationalDatabaseManagemetSystem-perfmancebenchmark.ppt

  • 2. ed to quantify performance of software systems. ough for complex systems. asures: nsactions per second or TPS) put of different transaction types. stem A runs transaction type T1 at 99 tps and transaction type T2 at 1 tps and other system runs B both g TPS is wrong! sactions of each type
  • 3. tem A : T1 (0.01s) T2 ( 1s)  need 50.5 sec tem B : T1 (0.02s) T2 (0.02s)  need 2 sec stead, HARMONIC MEAN of n throghputs t1,t2….tn : harmonic mean = [ n / ( 1/t1 + 1/t2 + …. + 1/tn )] he harmonic mean for System B is 25 times faster than System A terference (eg: Lock Contention) makes even this incorrect if different transaction types run concurre
  • 4. Database Application Classes nsaction Processing (OLTP) high concurrency and clever techniques to speed up commit processing, to support a high rate of update upport Applications Online Analytical Processing ood query evaluation algorithms and query optimization re of some database systems tuned to one of the two classes ata DBMS is tuned to decision support to balance the two requirements e, with snapshot support for long read-only transaction
  • 5. Transaction Benchmarks Suites • The transaction processing council (TPC) benchmark suites are widely used. • TPC – A and TPC – B : used in bank teller applications with and without application • TPC – C : used in inventory systems • TPC – D : complex decision support applications • TPC – H : (H and ad hoc) with some extra queries, total number of 22 queries - prohibits materializes views - permits indices only on primary and foreign keys • TPC – R : (R for reporting) same as TPC-H, but without any restrictions on materialized views and indices • TPC – W : (W for web) End to End web service benchmark modelling a web bookstore
  • 6. TPC Performance Measures ctions- per- second with specified constraints on response time ctions- per – second per dollar accounts for cost of owning system nchmark requires database sizes to be scaled up with increasing transactions-per-second s real world applications where more customers means more database size and more transactions-pe al audit of TPC performance numbers is mandatory rformance claims can be trusted
  • 7. Sample TPC performance measures • Two types of tests of TPC-H (ad hoc) and TPC-R (report) - power metric test takes mean to find queries per hour - throughput metric test multiple streams running in parallel, each stream generates queries, with one parallel update stream • Composite “Query per hour” metric : Square root of (power metric * throughput metric) • Composite “price vs. performance” metric : System price / composite metric