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Best Practices for a Seamless MongoDB Upgrade

Percona

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success. In MongoDB 6.x:

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Tune Linux Kernel Parameters For PostgreSQL Optimization

Percona

For optimum performance, a PostgreSQL database depends on the operating system parameters being defined correctly. Poorly configured OS kernel parameters can cause degradation in database server performance. Therefore, it is imperative that these parameters are configured according to the database server and its workload.

Tuning 55
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Impact of Querying Table Information From information_schema

Percona

On MySQL and Percona Server for MySQL , there is a schema called information_schema (I_S) which provides information about database tables, views, indexes, and more. The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. Results for Percona Server for MySQL 8.0

Cache 101
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MySQL 8: Load Fine Tuning With Resource Groups

Percona

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. Then we need to see IF implementing the tuning will work or not. It is possible to do more tuning in the case that ETL is too compromised.

Tuning 44
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Reinventing Performance Testing: New Architectures

Alex Podelko

System’s configuration is not given anymore and often can’t be easily mapped to hardware. As already mentioned, performance testing is rather a performance engineering process (with tuning, optimization, troubleshooting and fixing multi-user issues) eventually bringing the system to the proper state rather than just testing.

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Why MySQL Could Be Slow With Large Tables

Percona

Some startups adopted MySQL in its early days such as Facebook, Uber, Pinterest, and many more, which are now big and successful companies that prove that MySQL can run on large databases and on heavily used sites. Some of them are: MySQL Cluster: MySQL NDB Cluster is an in-memory database clustering solution developed by Oracle for MySQL.

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What programming languages does HammerDB use and why does it matter?

HammerDB

HammerDB is a load testing and benchmarking application for relational databases. All the databases that HammerDB tests implement a form of MVCC (multi-version concurrency control). On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute.