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

DZone

One, by researching on the Internet; Two, by developing small programs and benchmarking. The legacy languages — be it ASM or C still rule in terms of performance. There were languages I briefly read about, including other performance comparisons on the internet. C++ SOLUTION (Will Be Uploaded Later).

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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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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 ).

C++ 279
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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 ! All of the PostgreSQL benchmark tests were run under the following conditions: Initialized pgbench using a scale factor of 100. Throughput Benchmark.

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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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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Comparison Overview. Objective C. The extreme complexity also increases the risk of error which can lead to critical mistakes that cost more time and money to resolve, which is why it is a common best practice in Oracle to limit changes to only a couple times each year. PostgreSQL. Scalability. SolarisUnix. Supported Languages.

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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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