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Доклад был представлен на официальной российской конференции PG Day'14 Russia, посвященной вопросам разработки и эксплуатации PostgreSQL. Доклад посвящен улучшениям в GIN-индексах в PostgreSQL 9.4 и далее, которые выводят GIN на новый уровень производительности и расширяемости. Наиболее важные улучшения: Сжатие постинг-листов. Индексы становятся в среднем в 2 раза компактнее. При это не требуется никаких изменений со стороны opclass'ов. pg_upgrade поддерживается, индексы сжимаются "на лету". Алгоритм быстрого сканирования GIN-индексов позволяет пропускать части больших постинг-деревьев при сканировании. Этот алгоритм кардинально улучшает скорость поиска для hstore и jsonb операторов, а также случай "частое_слово & редкое_слово" для полнотекстового поиска. Хранение дополнительной информации в постинг-листах. Содержимое этой дополнительной информации зависит от конкретной разновидности GIN-индекса (определяется opclass'ом). Дополнительная информация может быть полезна при самых разных видах поиска: поиск по фразам, поиск по похожести массивов, обратный полнотекстовый поиск (поиск тех tsquery, которые подходят под tsvector), обратный поиск по регулярным выражением (поиск регулярных выражений, подходящих под строку), поиск по строковой "похожести" с использованием позиционных n-грам. Ранжирование по индексу. Это улучшение позволяет возвращать результаты из индекса таким образом, как это определяет opclass. Наиболее важное применение — возвращение результатов полнотекстового поиска в порядке релевантности, кардинально снижающее загрузку IO. Но есть также и другие применения, такие как возврат массивов или строк в порядке их "похожести". В докладе представлены результаты "бенчмарков" полнотектового поиска, использующие реальные наборы данных (6М и 15М документов) и реальные поисковые запросы, которые демонстрируют, что улучшенный полнотекстовый поиск PostgreSQL (со всеми накладными расходами ACID) может превосходить по скорости Sphinx.
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With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.
Boost PC performance: How more available memory can improve productivity
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Principled Technologies
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I've been in the field of "Cyber Security" in its many incarnations for about 25 years. In that time I've learned some lessons, some the hard way. Here are my slides presented at BSides New Orleans in April 2024.
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04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
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CNv6 Instructor Chapter 6 Quality of Service
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ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
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