From 31f78d1f8b0c5dd22a25883e5f0a15289eb1fb9d Mon Sep 17 00:00:00 2001 From: Struchkov Mark Date: Tue, 5 Nov 2024 00:33:37 +0300 Subject: [PATCH] =?UTF-8?q?=D0=9E=D0=B1=D0=BD=D0=BE=D0=B2=D0=BB=D0=B5?= =?UTF-8?q?=D0=BD=D0=B8=D0=B5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- dev/database/DB page.md | 27 +++++++++++ .../postgresql/B-tree индекс в PostgreSQL.md | 4 +- dev/database/postgresql/Write-Ahead Log.md | 2 +- .../postgresql/Индекс в PostgreSQL.md | 6 ++- .../Профилирование запросов в PostgreSQL.md | 4 +- .../Составной индекс в PostgreSQL.md | 4 +- .../postgresql/Таблица в PostgreSQL.md | 24 ++++++++++ dev/database/Индекс базы данных.md | 6 +-- .../Индекс в БД для мягкого удаления.md | 30 ++++++++++++ ...малоселективных полей для оптимизации чтения страниц.md | 25 ++++++++++ ...ные индексы в БД.md => Составной индекс в БД.md} | 17 ++++--- dev/database/Таблицы с колонкой статуса.md | 44 ++++++++++++++++++ dev/database/Частичный 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meta/files/images/webp/Pasted image 20241104203423.webp.md5 create mode 100644 meta/files/images/webp/Pasted image 20241104203446.webp create mode 100644 meta/files/images/webp/Pasted image 20241104203446.webp.md5 create mode 100644 meta/files/images/webp/Pasted image 20241104203517.webp create mode 100644 meta/files/images/webp/Pasted image 20241104203517.webp.md5 create mode 100644 meta/files/images/webp/Pasted image 20241104204304.webp.md5 create mode 100644 meta/files/images/webp/Pasted image 20241105002717.webp create mode 100644 meta/files/images/webp/Pasted image 20241105002717.webp.md5 diff --git a/dev/database/DB page.md b/dev/database/DB page.md new file mode 100644 index 00000000..2ff40ba5 --- /dev/null +++ b/dev/database/DB page.md @@ -0,0 +1,27 @@ +--- +aliases: + - страница + - страницы + - страница БД + - Страница БД + - странице бд +tags: + - maturity/🌱 +date: 2024-11-04 +--- +В базе данных страница — это базовая единица хранения данных, используемая для организации таблиц и индексов. Она представляет собой фиксированный блок данных (обычно 8 килобайт в PostgreSQL, но размер может варьироваться) и содержит строки таблицы или фрагменты индексов. Когда база данных выполняет запрос, она обращается к страницам, чтобы получить нужные строки, и может считывать их из диска или из кэша, где часто используемые страницы уже загружены в память. + +База данных работает поверх операционной системы и поэтому использует [[../fundamental/Страница|страницы ОС]] для хранения своих страниц данных. Когда СУБД загружает страницу базы данных из диска, операционная система выделяет ей одну или несколько страниц оперативной памяти. В результате страницы базы данных хранятся в страницах памяти ОС. +*** +## Мета информация +**Область**:: [[../../meta/zero/00 Базы Данных|00 Базы Данных]] +**Родитель**:: [[../fundamental/Страница|Страница]] +**Источник**:: +**Создана**:: [[2024-11-04]] +**Автор**:: +### Дополнительные материалы +- + +### Дочерние заметки + + diff --git a/dev/database/postgresql/B-tree индекс в PostgreSQL.md b/dev/database/postgresql/B-tree индекс в PostgreSQL.md index 6e68a7f3..b95ca6e0 100644 --- a/dev/database/postgresql/B-tree индекс в PostgreSQL.md +++ b/dev/database/postgresql/B-tree индекс в PostgreSQL.md @@ -6,6 +6,8 @@ tags: - maturity/🌱 date: 2024-10-23 --- +![[../../../meta/files/images/Pasted image 20241104202857.png]] + **Особенности:** - Основан на работе [[../../fundamental/structure/B-tree|B-tree]] дерева. - Подходит для операций сравнения (`<`, `>`, `BETWEEN`), равенства (`=`) и сортировки. @@ -27,7 +29,7 @@ CREATE INDEX idx_name ON table_name (column_name); **Создана**:: [[2024-10-23]] **Автор**:: ### Дополнительные материалы -- +- [Владимир Ситников — B-tree индексы в базах данных на примере PostgreSQL - YouTube](https://www.youtube.com/watch?v=mnEU2_cwE_s) ### Дочерние заметки diff --git a/dev/database/postgresql/Write-Ahead Log.md b/dev/database/postgresql/Write-Ahead Log.md index 88a83705..6e10733e 100644 --- a/dev/database/postgresql/Write-Ahead Log.md +++ b/dev/database/postgresql/Write-Ahead Log.md @@ -13,7 +13,7 @@ parents: linked: - "[[Репликация в PostgreSQL]]" --- -В журнал попадают физические изменения, т.е. обновления страничек. Есть [[../../fundamental/Страница|страница]] в памяти, на ней лежат какие-то данные, мы с ней что-то сделали – вот эту разницу мы записываем в журнал. +В журнал попадают физические изменения, т.е. обновления страничек. Есть [[../DB page|страница]] в памяти, на ней лежат какие-то данные, мы с ней что-то сделали – вот эту разницу мы записываем в журнал. В WAL попадает всё: обновление таблиц, создание триггеров, создание хранимых процедур и так далее. diff --git a/dev/database/postgresql/Индекс в PostgreSQL.md b/dev/database/postgresql/Индекс в PostgreSQL.md index 688a6796..7fedd1d5 100644 --- a/dev/database/postgresql/Индекс в PostgreSQL.md +++ b/dev/database/postgresql/Индекс в PostgreSQL.md @@ -12,7 +12,7 @@ date: 2024-03-31 - **Распухание индексов** (bloat) — это проблема увеличения размера индексов со временем, требующая переиндексации. - [[Создание индекса в PostgreSQL]] -- [[../Частичный индекс]] +- [[../Частичный индекс|Частичный индекс]] - [[Составной индекс в PostgreSQL]] **Типы индексов:** @@ -22,6 +22,10 @@ date: 2024-03-31 - [[SP-GiST индекс в PostgreSQL|SP-GiST индекс]] - [[GIN индекс в PostgreSQL|GIN индекс]] - [[BRIN индекс в PostgreSQL|BRIN индекс]] + +**Влияние обновления строки на индекс** +- **Обновление индексированной колонки.** По факту мы добавляем новую запись в индекс, а старую забываем. Старая остается мертвым грузом (bloat), индекс распухает, его нужно убрать vacuum. +- **Обновление не индексированной колонки.** Если строка в таблице остается на той же [[../DB page|странице бд]], то есть было место на странице, то индекс не меняется. Если строка не помещается, то добавляется новая запись в индекс, а старая остается мертвым грузом (bloat), индекс распухает, его нужно убрать vacuum. *** ## Мета информация **Область**:: [[../../../meta/zero/00 PostgreSQL|00 PostgreSQL]] diff --git a/dev/database/postgresql/Профилирование запросов в PostgreSQL.md b/dev/database/postgresql/Профилирование запросов в PostgreSQL.md index 7b9b8f35..08f03efc 100644 --- a/dev/database/postgresql/Профилирование запросов в PostgreSQL.md +++ b/dev/database/postgresql/Профилирование запросов в PostgreSQL.md @@ -26,13 +26,15 @@ EXPLAIN (FORMAT JSON) SELECT * FROM users WHERE id = 20; > [!NOTE] Analyze > `EXPLAIN` не выполняет сам запрос, поэтому результаты будут приблизительными. Для более точного анализа можно добавить ключевое слово `ANALYZE`, и тогда `EXPLAIN` также выполнит запрос. ## Стоимость выполнения запроса (cost) -PostgreSQL использует условные единицы для обозначения стоимости выполнения запроса — `cost`. Один `cost` примерно соответствует времени, затраченному на извлечение одного блока данных размером 8 килобайт при последовательном сканировании (Seq Scan). +PostgreSQL использует условные единицы для обозначения стоимости выполнения запроса — `cost`. Один `cost` примерно соответствует времени, затраченному на извлечение одной [[../DB page|страницы]] при последовательном сканировании (Seq Scan). Часто используются два значения `cost`: - **Первое значение**: стоимость до начала получения первых результатов. - **Второе значение**: полная стоимость выполнения запроса. Если оценочное значение `rows` слишком низкое по сравнению с фактическим количеством строк, это может означать, что статистика таблицы устарела. В таком случае необходимо выполнить `ANALYZE` для обновления статистики и улучшения качества планирования запросов. + +Также PostgreSQL умеет считать количество обращений к диску. Для этого нужно добавить опцию `buffres`: `explain (analize, buffres)`. Это не время на чтение. ## Виды проходов по таблице и индексу - **Seq Scan**: последовательный просмотр всей таблицы. Это наиболее медленный вариант и обычно нежелателен. Решение — добавить [[../Индекс базы данных|индекс]], чтобы ускорить выборку данных. - **Index Scan**: использование [[../Индекс базы данных|индекса]] для просмотра таблицы. diff --git a/dev/database/postgresql/Составной индекс в PostgreSQL.md b/dev/database/postgresql/Составной индекс в PostgreSQL.md index b256161a..f699fdb5 100644 --- a/dev/database/postgresql/Составной индекс в PostgreSQL.md +++ b/dev/database/postgresql/Составной индекс в PostgreSQL.md @@ -5,7 +5,7 @@ tags: date: 2024-03-31 linked: --- -[[../Составные индексы в БД|Составные индексы]] в PostgreSQL позволяют ускорить выполнение запросов, в которых используются несколько колонок одновременно. Однако важно учитывать особенности их частичного использования. +[[../Составной индекс в БД|Составные индексы]] в PostgreSQL позволяют ускорить выполнение запросов, в которых используются несколько колонок одновременно. Однако важно учитывать особенности их частичного использования. При выполнении запроса составной индекс может использоваться до первого неравенства включительно. Это означает, что при встрече оператора неравенства (`>`, `<`, `>=`, `<=`) индекс перестает быть эффективным для последующих колонок. @@ -17,7 +17,7 @@ linked: *** ## Мета информация **Область**:: [[../../../meta/zero/00 PostgreSQL|00 PostgreSQL]] -**Родитель**:: [[../Составные индексы в БД|Составные индексы в БД]], [[Индекс в PostgreSQL]] +**Родитель**:: [[../Составной индекс в БД|Составной индекс в БД]], [[Индекс в PostgreSQL]] **Источник**:: **Автор**:: **Создана**:: diff --git a/dev/database/postgresql/Таблица в PostgreSQL.md b/dev/database/postgresql/Таблица в PostgreSQL.md new file mode 100644 index 00000000..de3e40f6 --- /dev/null +++ b/dev/database/postgresql/Таблица в PostgreSQL.md @@ -0,0 +1,24 @@ +--- +aliases: + - таблица + - таблице +tags: + - maturity/🌱 +date: 2024-11-04 +--- +Таблица - это гомогенное множество кортежей. + +Таблица разбивается на [[../DB page|страницы]]. +*** +## Мета информация +**Область**:: [[../../../meta/zero/00 PostgreSQL|00 PostgreSQL]] +**Родитель**:: +**Источник**:: +**Создана**:: [[2024-11-04]] +**Автор**:: +### Дополнительные материалы +- + +### Дочерние заметки + + diff --git a/dev/database/Индекс базы данных.md b/dev/database/Индекс базы данных.md index e1133e58..1ee76ee1 100644 --- a/dev/database/Индекс базы данных.md +++ b/dev/database/Индекс базы данных.md @@ -48,7 +48,7 @@ date: 2024-10-11 **Какие бывают индексы?** - **Уникальные и неуникальные.** Уникальные индексы обеспечивают уникальность значений в столбцах. Неуникальные индексы допускают повторяющиеся значения. -- **Простые и составные.** Простые индексы создаются для одного столбца, а [[Составные индексы в БД|составные]] — для нескольких столбцов. +- **Простые и составные.** Простые индексы создаются для одного столбца, а [[Составной индекс в БД|составные]] — для нескольких столбцов. - **Кластерные и некластерные.** Кластерные индексы определяют физическое расположение данных на диске, а некластерные индексы хранят указатели на строки таблицы. **Реализации:** @@ -67,9 +67,9 @@ date: 2024-10-11 ### Дочерние заметки -- [[Индекс в PostgreSQL]] - [[Индекс в MySQL]] -- [[Составные индексы в БД]] +- [[Индекс в PostgreSQL]] - [[Покрывающий индекс]] +- [[Составной индекс в БД]] diff --git a/dev/database/Индекс в БД для мягкого удаления.md b/dev/database/Индекс в БД для мягкого удаления.md new file mode 100644 index 00000000..f74190c6 --- /dev/null +++ b/dev/database/Индекс в БД для мягкого удаления.md @@ -0,0 +1,30 @@ +--- +aliases: +tags: + - maturity/🌱 + - best-practices +date: 2024-11-05 +--- +Представьте, что вам нужно поддерживать уникальность данных, например, адресов электронной почты в таблице базы данных. Однако в таблице есть строки, [[../Tombstone|помеченные как удаленные]] с помощью поля `deleted_at`, и они также остаются в базе данных. В такой ситуации создание уникального индекса на поле с электронной почтой становится невозможным из-за дублирующихся значений. [[Частичный индекс|Частичный индекс]] решает эту проблему, позволяя включать в индекс только записи, которые не помечены как удаленные. + +В PostgreSQL добавление уникального индекса для активных пользователей выглядит так: +```sql +CREATE UNIQUE INDEX users_email_uniq ON users ( + email +) WHERE deleted_at IS NULL; +``` + +В этом случае строки, у которых `deleted_at` не задан, включаются в индекс, а остальные игнорируются, что делает индекс более компактным и эффективным. +*** +## Мета информация +**Область**:: [[../../meta/zero/00 Базы Данных|00 Базы Данных]] +**Родитель**:: +**Источник**:: +**Создана**:: [[2024-11-05]] +**Автор**:: +### Дополнительные материалы +- + +### Дочерние заметки + + diff --git a/dev/database/Использование малоселективных полей для оптимизации чтения страниц.md b/dev/database/Использование малоселективных полей для оптимизации чтения страниц.md new file mode 100644 index 00000000..8760917a --- /dev/null +++ b/dev/database/Использование малоселективных полей для оптимизации чтения страниц.md @@ -0,0 +1,25 @@ +--- +aliases: +tags: + - maturity/🌱 + - hack +date: 2024-11-05 +--- +Если в таблице много записей с одинаковыми значениями (низкая [[Селективность колонки|селективность]]), и необходимо индексировать только записи с уникальными или более специфичными значениями, то можно использовать проблему низкой селективности для повышения эффективности запросов. + +Когда менее селективные поля находятся в начале индекса, на одной [[DB page|странице]] в памяти базы данных группируются записи с одинаковыми значениями по этим полям. Это позволяет при поиске уникального значения считывать меньше [[DB page|страниц]] из памяти, что в некоторых случаях может улучшить производительность. + +![[../../meta/files/images/Pasted image 20241105002717.png]] +*** +## Мета информация +**Область**:: [[../../meta/zero/00 Базы Данных|00 Базы Данных]] +**Родитель**:: +**Источник**:: +**Создана**:: [[2024-11-05]] +**Автор**:: +### Дополнительные материалы +- + +### Дочерние заметки + + diff --git a/dev/database/Составные индексы в БД.md b/dev/database/Составной индекс в БД.md similarity index 71% rename from dev/database/Составные индексы в БД.md rename to dev/database/Составной индекс в БД.md index 2903da93..1b42cec6 100644 --- a/dev/database/Составные индексы в БД.md +++ b/dev/database/Составной индекс в БД.md @@ -1,18 +1,17 @@ --- aliases: - Составные индексы + - многоколоночный индекс tags: - maturity/🌱 date: 2024-06-16 --- -Составным называется индекс, который включает в себя сразу несколько полей. Он используется для повышения производительности запросов, которые фильтруют данные по нескольким колонкам одновременно. +Составной индекс — это индекс, включающий несколько полей, который используется для повышения производительности запросов, фильтрующих данные сразу по нескольким колонкам. -==В составных индексах важен порядок столбцов.== Порядок колонок в индексе влияет на его эффективность, и более [[Селективность колонки|селективные]] поля должны идти первыми, чтобы максимизировать производительность. SQL-запросы также должны следовать этому порядку для оптимального использования индекса. +Проще всего представить составной индекс не как последовательность индексов по отдельным колонкам, а как индекс по объединённым значениям этих колонок. Поэтому порядок столбцов в составном индексе имеет значение.== Он влияет на эффективность индекса, и поэтому чаще всего ==наиболее [[Селективность колонки|селективные]] поля следует располагать первыми== для максимальной производительности. ==SQL-запросы также должны учитывать этот порядок== для оптимального использования индекса. -При поиске по составному индексу значения колонок сравниваются по порядку, что делает порядок следования колонок критически важным для эффективности запросов. - -> [!WARNING] Количество параметров -> Составной индекс из 2-3 полей обычно считается нормальным и эффективно поддерживаемым. Если количество колонок в индексе превышает три, следует тщательно анализировать его использование, чтобы избежать излишней нагрузки на производительность. +Однако, есть исключительные ситуации из этого правила: +- [[Использование малоселективных полей для оптимизации чтения страниц]] **Преимущества:** - **Оптимизация дискового пространства**: ==Один составной индекс может заменить несколько простых индексов==, что экономит дисковое пространство. @@ -22,6 +21,12 @@ date: 2024-06-16 - **Высокие накладные расходы при обновлении**: Каждый раз при вставке, обновлении или удалении данных, которые попадают в составной индекс, СУБД должна обновлять весь индекс, что может увеличивать время выполнения таких операций. - Старайтесь минимизировать использование неравенств в начале составных индексов, так как это может ограничить их применение для последующих колонок. +> [!WARNING] Количество параметров +> Составной индекс из 2-3 полей обычно считается нормальным и эффективно поддерживаемым. Если количество колонок в индексе превышает три, следует тщательно анализировать его использование, чтобы избежать излишней нагрузки на производительность. + + + + Создание составного индекса: ```sql CREATE INDEX idx_example ON table_name (column_a, column_b); diff --git a/dev/database/Таблицы с колонкой статуса.md b/dev/database/Таблицы с колонкой статуса.md new file mode 100644 index 00000000..10d674bb --- /dev/null +++ b/dev/database/Таблицы с колонкой статуса.md @@ -0,0 +1,44 @@ +--- +aliases: +tags: + - maturity/🌱 + - best-practices +date: 2024-11-05 +--- +Часто в приложениях есть таблицы, которые содержат колонку статуса (`state`). Обычно статус разделяет записи на "обработанные" и "необработанные". Индекс нам часто нужен именно по необработанным данным. Создавая [[Частичный индекс|частичный индекс]] только по необработанным данным, мы можем ускорить выполнение запроса и уменьшить размер индекса. + +Возьмем типичную табличку, в которой есть какие-то статусы мы хотим находить данные по этому статусу. + +![300](../../meta/files/images/Pasted%20image%2020240331095959.png) +![600](../../meta/files/images/Pasted%20image%2020240331100144.png) + +Часто появляется желание сделать индекс по полю статуса: + +![600](../../meta/files/images/Снимок%20экрана%202024-03-31%20в%2010.07.02.png) + +Но по факту мы индексируем поле, которое имеет небольшую [селективность](../../dev/database/Селективность%20колонки.md). Такой индекс не эффективный. + +Хороший вариант в данном случае: +![600](../../meta/files/images/Снимок%20экрана%202024-03-31%20в%2010.13.39.png) + +Почти идеальный: +![600](../../meta/files/images/Снимок%20экрана%202024-03-31%20в%2010.15.06.png) +![500](../../meta/files/images/Pasted%20image%2020240331101612.png) + +Идеальный. Совмещаем и [[postgresql/Составной индекс в PostgreSQL|составной индекс]] и частичный. + +![[../../meta/files/images/Pasted image 20241021225124.png]] + +*** +## Мета информация +**Область**:: [[../../meta/zero/00 Базы Данных|00 Базы Данных]] +**Родитель**:: +**Источник**:: +**Создана**:: [[2024-11-05]] +**Автор**:: +### Дополнительные материалы +- + +### Дочерние заметки + + diff --git a/dev/database/Частичный индекс.md b/dev/database/Частичный индекс.md index 80a83ce2..d511bd02 100644 --- a/dev/database/Частичный индекс.md +++ b/dev/database/Частичный индекс.md @@ -26,46 +26,8 @@ WHERE fk_id IS NOT NULL; **Когда использовать частичные индексы:** - Когда необходимо уменьшить размер индекса за счёт исключения ненужных записей, что позволяет сэкономить место на диске и ускорить операции поиска. -- Когда таблица содержит большое количество записей с одинаковыми значениями (низкая [[Селективность колонки|селективность]]), и вам нужно индексировать только те записи, которые имеют уникальные или более специфичные значения. -- В ситуациях, когда индекс нужен для работы с данными, которые соответствуют определённому условию, например, только "необработанные" записи. -## Применение частичных индексов -### Таблицы с колонкой статуса -Часто в приложениях есть таблицы, которые содержат колонку статуса (`state`). Обычно статус разделяет записи на "обработанные" и "необработанные". Индекс нам часто нужен именно по необработанным данным. Создавая частичный индекс только по необработанным данным, мы можем ускорить выполнение запроса и уменьшить размер индекса. - -Возьмем типичную табличку, в которой есть какие-то статусы мы хотим находить данные по этому статусу. - -![300](../../meta/files/images/Pasted%20image%2020240331095959.png) -![600](../../meta/files/images/Pasted%20image%2020240331100144.png) - -Часто появляется желание сделать индекс по полю статуса: - -![600](../../meta/files/images/Снимок%20экрана%202024-03-31%20в%2010.07.02.png) - -Но по факту мы индексируем поле, которое имеет небольшую [селективность](../../dev/database/Селективность%20колонки.md). Такой индекс не эффективный. - -Хороший вариант в данном случае: -![600](../../meta/files/images/Снимок%20экрана%202024-03-31%20в%2010.13.39.png) - -Почти идеальный: -![600](../../meta/files/images/Снимок%20экрана%202024-03-31%20в%2010.15.06.png) -![500](../../meta/files/images/Pasted%20image%2020240331101612.png) - -Идеальный. Совмещаем и [[postgresql/Составной индекс в PostgreSQL|составной индекс]] и частичный. - -![[../../meta/files/images/Pasted image 20241021225124.png]] - -### Для мягкого удаления -Представьте, что вам нужно поддерживать уникальность данных, например, адресов электронной почты в таблице базы данных. Однако в таблице есть строки, [[../Tombstone|помеченные как удаленные]] с помощью поля `deleted_at`, и они также остаются в базе данных. В такой ситуации создание уникального индекса на поле с электронной почтой становится невозможным из-за дублирующихся значений. Частичный индекс решает эту проблему, позволяя включать в индекс только записи, которые не помечены как удаленные. - -В PostgreSQL добавление уникального индекса для активных пользователей выглядит так: -```sql -CREATE UNIQUE INDEX users_email_uniq ON users ( - email -) WHERE deleted_at IS NULL; -``` - -В этом случае строки, у которых `deleted_at` не задан, включаются в индекс, а остальные игнорируются, что делает индекс более компактным и эффективным. - +- [[Использование малоселективных полей для оптимизации чтения страниц]] +- [[Таблицы с колонкой статуса]]. В ситуациях, когда индекс нужен для работы с данными, которые соответствуют определённому условию, например, только "необработанные" записи. *** ## Мета информация **Область**:: [[../../meta/zero/00 PostgreSQL|00 PostgreSQL]] diff --git a/dev/fundamental/structure/B-tree.md b/dev/fundamental/structure/B-tree.md index ff78d2e4..79ca0643 100644 --- a/dev/fundamental/structure/B-tree.md +++ b/dev/fundamental/structure/B-tree.md @@ -12,9 +12,10 @@ date: 2024-01-29 - Узел содержит множество элементов, что позволяет хранить больше данных в одном месте. - Каждый узел представляет собой [[../Страница|страничку]] на диске, что снижает издержки на чтение. - В каждом узле есть ссылки на следующий и предыдущий узлы (характерно для B+tree). -- В узлах дерева могут храниться сами данные или указатели на данные. +- В листьях дерева могут храниться сами данные или указатели на данные, то есть ссылаются на таблицу. - Элементы в узле отсортированы, что делает поиск более эффективным и позволяет создавать деревья с небольшой высотой, тем самым уменьшая количество обращений к диску. - Значения в узлах могут быть не уникальными. +- Обычно высота дерева не больше 3-4 уровней. ## Параметр t Параметр `t` определяет количество элементов в узле дерева. - В каждом узле должно быть не менее `t-1` и не более `2t-1` ключей. Это правило важно для поддержания сбалансированности дерева, так как позволяет равномерно распределять элементы между узлами и поддерживать эффективную высоту дерева, что, в свою очередь, обеспечивает высокую производительность операций поиска. @@ -31,13 +32,23 @@ date: 2024-01-29 - Поиск четных или нечетных чисел. - Поиск суффиксов (`LIKE '%c'` — неэффективно). ## Поиск в B-tree -Рассмотрим пример поиска значения `27`. - -![](../../../meta/files/images/Pasted%20image%2020240129193115.png) - -Значения в узлах могут быть не уникальными. Например, если значение `27` встречается дважды, поиск продолжается, переходя в следующий узел. Чтобы облегчить этот процесс, блоки на одном уровне связаны, создавая связный список. - Алгоритм поиска аналогичен [[Бинарное дерево поиска|бинарному дереву]], но выбор осуществляется из нескольких вариантов, а не из двух. Поиск выполняется за `O(t logt(n))`, но количество обращений к диску — `O(logt(n))`. + +Рассмотрим пример поиска значения `5`. Начинаем с корневого блока, он всегда один. 5 больше 1, но меньше 7, поэтому идем в левую часть индекса. + +![[../../../meta/files/images/Pasted image 20241104203100.png]] +Видим, что 5 больше чем 4, поэтому идем по ссылке на 4 + +![[../../../meta/files/images/Pasted image 20241104203423.png]] + +И там уже мы находим нашу 5. +![[../../../meta/files/images/Pasted image 20241104203446.png]] + +А пятерка в свою очередь указывает на место в таблице, и мы можем достать оттуда данные. + +![[../../../meta/files/images/Pasted image 20241104203517.png]] + +Значения в узлах могут быть не уникальными. Например, если значение `5` встречается дважды, поиск продолжается, переходя в следующий узел. Чтобы облегчить этот процесс, блоки на одном уровне связаны, создавая связный список. ## Добавление в B-tree Представим, что нужно вставить значение `15` в уже существующее дерево. diff --git a/dev/fundamental/Страница.md b/dev/fundamental/Страница.md index 5b79eec9..00913d06 100644 --- a/dev/fundamental/Страница.md +++ b/dev/fundamental/Страница.md @@ -3,12 +3,11 @@ aliases: - страницы - страниц - страничку + - страницы ОС + - Страница ОС tags: - maturity/🌱 date: 2024-09-17 -zero-link: -parents: -linked: --- Страница это непрерывный блок памяти фиксированного размера. @@ -39,3 +38,6 @@ linked: ### Дочерние заметки + +- [[DB page]] + diff --git a/dev/fundamental/Таблица задержек. память, сеть и устройства хранения.md b/dev/fundamental/Таблица задержек. память, сеть и устройства хранения.md new file mode 100644 index 00000000..3060f53c --- /dev/null +++ b/dev/fundamental/Таблица задержек. память, сеть и устройства хранения.md @@ -0,0 +1,37 @@ +--- +aliases: +tags: + - maturity/🌱 +date: 2024-11-04 +--- +``` +L1 cache reference ......................... 0.5 ns +Branch mispredict ............................ 5 ns +L2 cache reference ........................... 7 ns +Mutex lock/unlock ........................... 25 ns +Main memory reference ...................... 100 ns +Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs +Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs +SSD random read ........................ 150,000 ns = 150 µs +Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs +Round trip within same datacenter ...... 500,000 ns = 0.5 ms +Read 1 MB sequentially from SSD* ..... 1,000,000 ns = 1 ms +Disk seek ........................... 10,000,000 ns = 10 ms +Read 1 MB sequentially from disk .... 20,000,000 ns = 20 ms +Send packet CA->Netherlands->CA .... 150,000,000 ns = 150 ms +``` + +![[../../meta/files/images/Pasted image 20241104204304.png]] +*** +## Мета информация +**Область**:: [[../../meta/zero/00 Разработка|00 Разработка]] +**Родитель**:: +**Источник**:: +**Создана**:: [[2024-11-04]] +**Автор**:: +### Дополнительные материалы +- + +### Дочерние заметки + + diff --git a/dev/Посмотренные доклады по разработке.md b/dev/Посмотренные доклады по разработке.md new file mode 100644 index 00000000..e9694da2 --- /dev/null +++ b/dev/Посмотренные доклады по разработке.md @@ -0,0 +1,23 @@ +--- +aliases: +tags: + - maturity/🌱 +date: 2024-11-05 +--- +- +- [[2024-11-05]]. [Владимир Ситников — B-tree индексы в базах данных на примере PostgreSQL - YouTube](https://www.youtube.com/watch?v=mnEU2_cwE_s) +- [[2024-11-05]]. [[../source/lecture/Доклад. Могут ли Virtual threads заменить Webflux|Доклад. Могут ли Virtual threads заменить Webflux]] +- [[2024-11-05]]. [[../source/lecture/Доклад. Индексы в PostgreSQL. Как понять, что создавать|Доклад. Индексы в PostgreSQL. Как понять, что создавать]] +*** +## Мета информация +**Область**:: [[../source/00 Источники|00 Источники]] +**Родитель**:: +**Источник**:: +**Создана**:: [[2024-11-05]] +**Автор**:: +### Дополнительные материалы +- + +### Дочерние заметки + + diff --git a/meta/files/images/Pasted image 20241104202857.png b/meta/files/images/Pasted image 20241104202857.png new file mode 100644 index 0000000000000000000000000000000000000000..c2d84efe4a95434d186bfbbb68486600dddcd543 GIT binary patch literal 629288 zcmeFZXIPVK(>4kSs32mYC@4)ShAL8|gNj5Dk&w_sQ3BGXOK&0yB0&fU2q@ALngjyU zL8S%hgkGde3B8B%-MF5&m}kBFTYLZ6e_oCwB;@XMO*!YB8D2enpvFMQMn^$G!Eg_J z2SPz{5_nOspP&W43AMF7prD|HS>L|>@ZRm)To0WcEv@Yk6chqcZpccFV=8CrMrZHU zq@8$T?bMfre0dd39rEthoscutM5(wno~tv?9^3=hv&_+UOqbU>AuG^*+e)GeU;17 z3dhIBy)$u@<8Q9Rt2J81b6LL#CEdTK?%2`Y-ES}9zJU+QcT5s3rs_MURyeQBPX3r>1O-E8*M-0X6> ztKQ*ChV00x%^D|)#0tJJXePHNo!ToKNuipcH}}53JpV2g+;sVH1peW2GQ|xB?(c3N zgggC3=GR>X+v`oNhvS5y&rq~g5o&v*E!(z>;u(*?0pjQ;n;tCrd|iOQK;zLzIP9J 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