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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Load stage is to load the data and then run stage we run the test. Load is consistent for all dbs for all tests as expected as this phase is to load the data. Workload C: Read only. Author & founder of BangDB.

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How To Use BenchmarkDotNet: 6 Simple Performance-Boosting Tips To Get Started

DZone

Whether it’s optimizing algorithms or fine-tuning data structures, every decision we make can have a significant impact on the overall performance of our applications. BenchmarkDotNet is a versatile, open-source performance assessment tool tailored for.NET developers.

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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. On MySQL, we saw a 1.5X

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HammerDB v4.8 New Features : Viewing your Benchmark results with the HammerDB Web Service

HammerDB

extends this functionality to the GUI and adds a Web Service to view and visualize this Job related data. in in the DATA directory, set this as follows: Copy Code Copied Use a different Browser <commandline> <sqlite_db>/opt/HammerDB-4.8/DATA/hammer.db</sqlite_db> DATA/hammer.db In HammerDB v4.7

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Using Huge Pages with PostgreSQL Running Inside Kubernetes

Percona

Unfortunately, the performance in benchmarks is almost the same as for 4KB pages. Please check out the Why Linux HugePages are Super Important for Database Servers: A Case with PostgreSQL blog post for more information. Setup I recommend starting with 2MB huge pages because it’s trivial to set up.

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HammerDB v4.0 New Features Pt1: TPROC-C & TPROC-H

HammerDB

compared to previous releases is that the workload names have changed from TPC-C and TPC-H to TPROC-C and TPROC-H respectively and therefore a key question is how are the v4.0 The simple answer is nothing, the workloads are exactly the same workloads derived from the TPC-C and TPC-H specifications and HammerDB v4.0

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Mergeable replicated data types – Part II

The Morning Paper

Mergeable replicated data types – part II Kaki et al., Last time out we saw how Mergeable Replicated Data Types (MRDTs) use a bijection between the natural domain of a data type and relational sets to define merge semantics between two concurrently modified versions given their lowest common ancestor (LCA).

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