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How to Assess MySQL Performance

HammerDB

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. This allows us to know our operating environment and its capability. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench.

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CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment

The Morning Paper

CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment Davis et al., abstract capabilities are constructed only through legitimate provenance chains of operations, successively reducing permissions from initial maximally permissive capabilities provided at machine reset.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. PostgreSQL performance optimization is an ongoing process involving monitoring, benchmarking, and adjustments to maintain high-performing PostgreSQL databases.

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HammerDB CLI 101

HammerDB

This will show the benchmark options dialog. Benchmark Options. and benchmark set with the bm argument. At this stage we have followed the GUI workflow to use the CLI to create the schema and run the TPROC-C workload with a number of Virtual Users. dbset db command. TEST RESULT. Additional CLI Functionality.

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else.

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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Looking across a set of eight Java benchmarks, we find that only two of them are array dominated, the rest having between 40% to 75% of the heap footprint allocated to objects, the vast majority of which are small. Consider a B-Tree node from the B-tree Java benchmark: Uncompressed, it’s memory layout looks like (a) below. Evaluation.

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Tuning PostgreSQL Database Parameters to Optimize Performance

Percona

If queries perform full table scans where an index could be used or perform heavy joins or expensive aggregate operations, then the system can still perform poorly even if the database parameters are tuned. The PostgreSQL buffer is called shared_buffer which is the most effective tunable parameter for most operating systems.

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