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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures.

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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. One, by researching on the Internet; Two, by developing small programs and benchmarking. C++ SOLUTION (Will Be Uploaded Later).

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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. Key findings. Query restrictions.

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Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

I believe that all optimizing C/C++ compilers know how to pull this trick and it is generally beneficial irrespective of the processor’s architecture. In concrete terms, here is the C code to compute the remainder of the division by some fixed divisor d : uint32_t d =. ; // your divisor > 0. if ( ( i % 3 ) = = 0 ).

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PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

In our final post, we will put them head-to-head in a detailed feature comparison and compare the results of PgBouncer vs. Pgpool-II performance for your PostgreSQL hosting ! This is shared between all clients, so a pooled connection is available to all clients. High availability. PostgreSQL Connection Pooling Series.

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HammerDB for Managers

HammerDB

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

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HammerDB v4.0 New Features Pt3: Refactored Stored Procedures

HammerDB

is the refactoring of the stored procedures for some of the TPROC-C workloads. The TPROC-C workload is derived from the TPC-C workload , the primary metric for TPC-C is called tpmC, the number of new order transactions processed per minute. Another key feature introduced with HammerDB v4.0 Therefore results from v4.0

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