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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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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 102
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How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks .

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

Daniel Lemire

The division by a power of two ( / (2 N )) can be implemented as a right shift if we are working with unsigned integers, which compiles to single instruction: that is possible because the underlying hardware uses a base 2. We also published our benchmarks for research purposes. I make my benchmarking code available.

C++ 279
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The evolution of single-core bandwidth in multicore processors

John McCalpin

Some I will address today, and some in the next blog entry. link] ) For the single-core case the bandwidth reported by the STREAM benchmark kernels is very close to the same as the bandwidth for the all-read tests reported here. Details in the next blog entry.) These observations naturally give rise to a variety of questions.

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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. According to other comparisons [Google for 'Performance of Programming Languages'] spread over the net, they clearly outshine others in all speed benchmarks. The legacy languages — be it ASM or C still rule in terms of performance.

Java 207
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The Return of the Frame Pointers

Brendan Gregg

It was also a virtual machine that lacked low-level hardware profiling capabilities, so I wasn't able to do cycle analysis to confirm that the 10% was entirely frame pointer-based. I should do a blog post just on SFrames. The actual overhead depends on your workload. Others have reported around 1% and around 2%.

Java 145