> ## Documentation Index > Fetch the complete documentation index at: https://clickhouse.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # Центр поддержки > Просматривайте базу знаний ClickHouse и ищите в ней нужную информацию export const kbIndex = { categories: ["Cloud", "Configuration & settings", "Data import & export", "Data management", "General & FAQs", "Integrations & client libraries", "Materialized views & projections", "Monitoring & debugging", "Performance & optimization", "Queries & SQL", "Security & access control", "Setup & installation", "Tables & schema", "Troubleshooting & errors"], tags: ["Best Practices", "Community", "Concepts", "Core Data Concepts", "Data Export", "Data Formats", "Data Ingestion", "Data Modelling", "Data Sources", "Deployments and Scaling", "Errors and Exceptions", "Functions", "Language Clients", "Managing Cloud", "Managing Data", "Native Clients and Interfaces", "Performance and Optimizations", "Runbooks", "Security and Authentication", "Server Admin", "Settings", "System Tables", "Tools and Utilities", "Troubleshooting", "Use Cases"], articles: [{ id: "integrations/python-clickhouse-connect-example", title: "Рабочий пример подключения к ClickHouse Cloud Service на Python", description: "Learn how to connect to ClickHouse Cloud Service using Python with a step-by-step example using the clickhouse-connect driver.", href: "/ru/resources/support-center/knowledge-base/integrations/python-clickhouse-connect-example", category: "Integrations & client libraries", tags: ["Language Clients"] }, { id: "configuration-settings/about-quotas-and-query-complexity", title: "О квотах и сложности запросов", description: "Quotas and Query Complexity are powerful ways to limit and restrict what users can do in ClickHouse. This KB article shows examples on how to apply these two different approaches.", href: "/ru/resources/support-center/knowledge-base/configuration-settings/about-quotas-and-query-complexity", category: "Configuration & settings", tags: ["Managing Cloud"] }, { id: "data-import-export/achieving-atomic-inserts", title: "Achieving atomic inserts and multi-table consistency in ClickHouse Cloud", description: "How to load data atomically and keep multiple tables consistent in ClickHouse Cloud without multi-statement transactions, using staging tables and partition-level operations.", href: "/ru/resources/support-center/knowledge-base/data-import-export/achieving-atomic-inserts", category: "Data import & export", tags: ["Data Ingestion", "Best Practices"] }, { id: "tables-schema/add-column", title: "Adding a column to a table", description: "In this guide, we'll learn how to add a column to an existing table.", href: "/ru/resources/support-center/knowledge-base/tables-schema/add-column", category: "Tables & schema", tags: ["Data Modelling"] }, { id: "configuration-settings/alter-user-settings-exception", title: "Исключение при изменении пользовательских настроек", description: "Handing the an exception thrown when altering user settings", href: "/ru/resources/support-center/knowledge-base/configuration-settings/alter-user-settings-exception", category: "Configuration & settings", tags: ["Settings", "Errors and Exceptions"] }, { id: "materialized-views/are-materialized-views-inserted-asynchronously", title: "Are Materialized Views inserted synchronously?", description: "This KB article explores whether Materialized Views are inserted synchronously", href: "/ru/resources/support-center/knowledge-base/materialized-views/are-materialized-views-inserted-asynchronously", category: "Materialized views & projections", tags: ["Data Modelling"] }, { id: "tables-schema/schema-migration-tools", title: "Automatic schema migration tools for ClickHouse", description: "Learn about automatic schema migration tools for ClickHouse and how to manage changing database schemas over time.", href: "/ru/resources/support-center/knowledge-base/tables-schema/schema-migration-tools", category: "Tables & schema", tags: ["Tools and Utilities"] }, { id: "cloud-services/aws-privatelink-setup-for-msk-clickpipes", title: "AWS PrivateLink setup to expose MSK for ClickPipes", description: "Setup steps to expose a private MSK via MSK multi-VPC connectivity to ClickPipes.", href: "/ru/resources/support-center/knowledge-base/cloud-services/aws-privatelink-setup-for-msk-clickpipes", category: "Cloud", tags: ["Security and Authentication", "Managing Cloud"] }, { id: "cloud-services/aws-privatelink-setup-for-clickpipes", title: "AWS PrivateLink setup to expose private RDS for ClickPipes", description: "Setup steps to expose a private RDS via AWS PrivateLink to ClickPipes.", href: "/ru/resources/support-center/knowledge-base/cloud-services/aws-privatelink-setup-for-clickpipes", category: "Cloud", tags: ["Security and Authentication", "Managing Cloud"] }, { id: "cloud-services/aws-privatelink-vpc-endpoint-service-for-msk-cluster", title: "Сервис VPC endpoint AWS PrivateLink для кластера MSK", description: "Шаги по настройке для подключения кластера MSK к ClickPipes через сервисы VPC endpoint AWS PrivateLink.", href: "/ru/resources/support-center/knowledge-base/cloud-services/aws-privatelink-vpc-endpoint-service-for-msk-cluster", category: "Cloud", tags: ["Security and Authentication", "Managing Cloud"] }, { id: "data-management/backing-up-a-specific-partition", title: "Backing up a specific partition", description: "How can I backup a specific partition in ClickHouse?", href: "/ru/resources/support-center/knowledge-base/data-management/backing-up-a-specific-partition", category: "Data management", tags: ["Managing Data"] }, { id: "general-faqs/key-value", title: "Can I use ClickHouse as a key-value storage?", description: "Answers the frequently asked question of whether or not ClickHouse can be used as a key-value storage?", href: "/ru/resources/support-center/knowledge-base/general-faqs/key-value", category: "General & FAQs", tags: [] }, { id: "general-faqs/time-series", title: "Can I use ClickHouse as a time-series database?", description: "Page describing how to use ClickHouse as a time-series database", href: "/ru/resources/support-center/knowledge-base/general-faqs/time-series", category: "General & FAQs", tags: [] }, { id: "queries-sql/pivot", title: "Can you PIVOT in ClickHouse?", description: "ClickHouse doesn't have a PIVOT clause, but we can get close to this functionality using aggregate function combinators. Let's see how to do this using the UK housing prices dataset.", href: "/ru/resources/support-center/knowledge-base/queries-sql/pivot", category: "Queries & SQL", tags: ["Data Modelling", "Core Data Concepts"] }, { id: "general-faqs/vector-search", title: "Can you use ClickHouse for vector search?", description: "Learn how to use ClickHouse for vector search, including storing embeddings and searching with distance functions like cosine similarity.", href: "/ru/resources/support-center/knowledge-base/general-faqs/vector-search", category: "General & FAQs", tags: ["Use Cases", "Concepts"] }, { id: "monitoring-debugging/send-logs-level", title: "Capturing server logs of queries at the client", description: "Learn how to capture server logs at the client level, even with different log settings, using the `send_logs_level` client setting.", href: "/ru/resources/support-center/knowledge-base/monitoring-debugging/send-logs-level", category: "Monitoring & debugging", tags: ["Server Admin"] }, { id: "configuration-settings/change-the-prompt-in-clickhouse-client", title: "Change the prompt in clickhouse-client", description: "This article explains how to change the prompt in your Clickhouse client and clickhouse-local terminal window from :) to a prefix followed by :)", href: "/ru/resources/support-center/knowledge-base/configuration-settings/change-the-prompt-in-clickhouse-client", category: "Configuration & settings", tags: ["Settings", "Native Clients and Interfaces"] }, { id: "security/common-rbac-queries", title: "Распространённые запросы RBAC", description: "Запросы для предоставления определённых разрешений пользователям.", href: "/ru/resources/support-center/knowledge-base/security/common-rbac-queries", category: "Security & access control", tags: ["Security and Authentication", "Managing Cloud"] }, { id: "queries-sql/comparing-metrics-between-queries", title: "Сравнение метрик между запросами в децибелах", description: "Запрос для сравнения метрик между двумя запросами в ClickHouse.", href: "/ru/resources/support-center/knowledge-base/queries-sql/comparing-metrics-between-queries", category: "Queries & SQL", tags: ["Performance and Optimizations"] }, { id: "configuration-settings/configure-cap-ipc-lock-and-cap-sys-nice-in-docker", title: "Настройка возможностей CAP_IPC_LOCK и CAP_SYS_NICE в Docker", description: "Узнайте, как устранить предупреждения Docker о возможностях `CAP_IPC_LOCK` и `CAP_SYS_NICE` при запуске ClickHouse в контейнере.", href: "/ru/resources/support-center/knowledge-base/configuration-settings/configure-cap-ipc-lock-and-cap-sys-nice-in-docker", category: "Configuration & settings", tags: ["Errors and Exceptions"] }, { id: "troubleshooting/configure-cap-ipc-lock-and-cap-sys-nice-in-docker", title: "Настройка возможностей CAP_IPC_LOCK и CAP_SYS_NICE в Docker", description: "Узнайте, как устранить предупреждения Docker о возможностях `CAP_IPC_LOCK` и `CAP_SYS_NICE` при запуске ClickHouse в контейнере.", href: "/ru/resources/support-center/knowledge-base/troubleshooting/configure-cap-ipc-lock-and-cap-sys-nice-in-docker", category: "Troubleshooting & errors", tags: ["Errors and Exceptions"] }, { id: "cloud-services/confluent-cloud-private-connectivity-for-clickpipes", title: "Частное подключение Confluent Cloud для ClickPipes", description: "Как подключить ClickPipes к существующему кластеру Confluent Cloud Kafka через AWS PrivateLink или GCP Private Service Connect.", href: "/ru/resources/support-center/knowledge-base/cloud-services/confluent-cloud-private-connectivity-for-clickpipes", category: "Cloud", tags: ["Security and Authentication", "Managing Cloud"] }, { id: "cloud-services/custom-dns-alias-for-instance", title: "Создание пользовательского псевдонима DNS с помощью обратного прокси", description: "Узнайте, как настроить пользовательский псевдоним DNS для вашего экземпляра с помощью обратного прокси", href: "/ru/resources/support-center/knowledge-base/cloud-services/custom-dns-alias-for-instance", category: "Cloud", tags: ["Server Admin", "Security and Authentication"] }, { id: "troubleshooting/part-intersects-previous-part", title: "DB::Exception: Part XXXXX intersects previous part YYYYY. It is a bug or a result of manual intervention in the ZooKeeper data.", description: "В этой статье объясняется, как устранить ошибку DB::Exception, связанную с пересекающимися частями в ClickHouse, которая часто вызвана состоянием гонки или ручным вмешательством в данные ZooKeeper.", href: "/ru/resources/support-center/knowledge-base/troubleshooting/part-intersects-previous-part", category: "Troubleshooting & errors", tags: ["Errors and Exceptions", "System Tables"] }, { id: "setup-installation/difference-between-official-builds-and-3rd-party", title: "Различия между официальными и сторонними сборками ClickHouse", description: "Узнайте об основных различиях между официальными сборками ClickHouse и сторонними сборками, включая обновления, совместимость и вопросы безопасности.", href: "/ru/resources/support-center/knowledge-base/setup-installation/difference-between-official-builds-and-3rd-party", category: "Setup & installation", tags: ["Concepts"] }, { id: "general-faqs/cost-based", title: "Есть ли в ClickHouse оптимизатор на основе стоимости?", description: "ClickHouse имеет определённые механизмы оптимизации на основе стоимости", href: "/ru/resources/support-center/knowledge-base/general-faqs/cost-based", category: "General & FAQs", tags: [] }, { id: "general-faqs/datalake", title: "Поддерживает ли ClickHouse озёра данных?", description: "ClickHouse поддерживает озёра данных, включая Iceberg, Delta Lake, Apache Hudi, Apache Paimon, Hive", href: "/ru/resources/support-center/knowledge-base/general-faqs/datalake", category: "General & FAQs", tags: [] }, { id: "general-faqs/distributed-join", title: "Поддерживает ли ClickHouse распределённый JOIN?", description: "ClickHouse поддерживает распределённый JOIN", href: "/ru/resources/support-center/knowledge-base/general-faqs/distributed-join", category: "General & FAQs", tags: [] }, { id: "general-faqs/federated", title: "Поддерживает ли ClickHouse федеративные запросы?", description: "ClickHouse поддерживает широкий спектр федеративных и гибридных запросов", href: "/ru/resources/support-center/knowledge-base/general-faqs/federated", category: "General & FAQs", tags: [] }, { id: "general-faqs/concurrency", title: "Поддерживает ли ClickHouse частые параллельные запросы?", description: "ClickHouse поддерживает высокий QPS и высокий уровень параллелизма", href: "/ru/resources/support-center/knowledge-base/general-faqs/concurrency", category: "General & FAQs", tags: [] }, { id: "cloud-services/multi-region-replication", title: "Поддерживает ли ClickHouse репликацию между регионами?", description: "На этой странице даётся ответ на вопрос, поддерживает ли ClickHouse репликацию между регионами", href: "/ru/resources/support-center/knowledge-base/cloud-services/multi-region-replication", category: "Cloud", tags: [] }, { id: "general-faqs/updates", title: "Поддерживает ли ClickHouse обновления в реальном времени?", description: "ClickHouse поддерживает лёгкие обновления в реальном времени", href: "/ru/resources/support-center/knowledge-base/general-faqs/updates", category: "General & FAQs", tags: [] }, { id: "security/row-column-policy", title: "Поддерживает ли ClickHouse безопасность на уровне строк и столбцов?", description: "Узнайте об ограничениях доступа на уровне строк и столбцов в ClickHouse и ClickHouse Cloud, а также о том, как реализовать управление доступом на основе ролей (RBAC) с помощью политик.", href: "/ru/resources/support-center/knowledge-base/security/row-column-policy", category: "Security & access control", tags: ["Security and Authentication"] }, { id: "cloud-services/execute-system-queries-in-cloud", title: "Выполнение операторов SYSTEM на всех узлах в ClickHouse Cloud", description: "Узнайте, как использовать `ON CLUSTER` и `clusterAllReplicas` для выполнения операторов и запросов SYSTEM на всех узлах сервиса ClickHouse Cloud.", href: "/ru/resources/support-center/knowledge-base/cloud-services/execute-system-queries-in-cloud", category: "Cloud", tags: ["Deployments and Scaling"] }, { id: "troubleshooting/count-parts-by-type", title: "Поиск количества и размеров широких или компактных частей", description: "В этой статье базы знаний показано, как найти количество частей по их типу — широкие или компактные.", href: "/ru/resources/support-center/knowledge-base/troubleshooting/count-parts-by-type", category: "Troubleshooting & errors", tags: ["Troubleshooting"] }, { id: "troubleshooting/fix-developer-verification-error-in-macos", title: "Исправление ошибки проверки разработчика в macOS", description: "Узнайте, как устранить ошибку проверки разработчика MacOS при выполнении команд ClickHouse с помощью системных настроек или терминала.", href: "/ru/resources/support-center/knowledge-base/troubleshooting/fix-developer-verification-error-in-macos", category: "Troubleshooting & errors", tags: ["Errors and Exceptions"] }, { id: "data-import-export/s3-export-data-year-month-folders", title: "Как выполнять секционированную запись по году и месяцу в S3?", description: "Узнайте, как записывать секционированные данные по году и месяцу в корзину S3 в ClickHouse, используя пользовательскую структуру пути для организации данных.", href: "/ru/resources/support-center/knowledge-base/data-import-export/s3-export-data-year-month-folders", category: "Data import & export", tags: ["Data Export", "Native Clients and Interfaces"] }, { id: "data-import-export/kafka-clickhouse-json", title: "Как использовать новый тип данных JSON с Kafka?", description: "Learn how to load JSON messages from Apache Kafka directly into a single JSON column in ClickHouse using the Kafka table engine and JSON data type.", href: "/ru/resources/support-center/knowledge-base/data-import-export/kafka-clickhouse-json", category: "Data import & export", tags: ["Data Formats", "Data Ingestion"] }, { id: "cloud-services/change-billing-email", title: "Как изменить контактное лицо для выставления счетов в ClickHouse Cloud?", description: "Let's learn how to change your billing address in ClickHouse Cloud.", href: "/ru/resources/support-center/knowledge-base/cloud-services/change-billing-email", category: "Cloud", tags: ["Managing Cloud"] }, { id: "general-faqs/how-do-i-contribute-code-to-clickhouse", title: "How do I contribute code to ClickHouse?", description: "ClickHouse is an open-source project developed on GitHub. As customary, contribution instructions are published in CONTRIBUTING file in the root of the source code repository.", href: "/ru/resources/support-center/knowledge-base/general-faqs/how-do-i-contribute-code-to-clickhouse", category: "General & FAQs", tags: ["Community"] }, { id: "data-import-export/parquet-to-csv-json", title: "Как конвертировать файлы из Parquet в CSV или JSON?", description: "Learn how to use ClickHouse's `clickhouse-local` tool to easily convert Parquet files to CSV or JSON formats.", href: "/ru/resources/support-center/knowledge-base/data-import-export/parquet-to-csv-json", category: "Data import & export", tags: ["Data Sources", "Data Formats"] }, { id: "data-import-export/mysql-to-parquet-csv-json", title: "Как экспортировать данные MySQL в Parquet, CSV или JSON с помощью ClickHouse", description: "Learn how to use the `clickhouse-local` tool to export MySQL data into formats like Parquet, CSV, or JSON quickly and efficiently.", href: "/ru/resources/support-center/knowledge-base/data-import-export/mysql-to-parquet-csv-json", category: "Data import & export", tags: ["Data Formats", "Data Export"] }, { id: "data-import-export/postgresql-to-parquet-csv-json", title: "How do I export PostgreSQL data to Parquet, CSV or JSON?", description: "Learn how to export PostgreSQL data to Parquet, CSV, or JSON formats using `clickhouse-local` with various examples.", href: "/ru/resources/support-center/knowledge-base/data-import-export/postgresql-to-parquet-csv-json", category: "Data import & export", tags: ["Data Export", "Data Formats"] }, { id: "setup-installation/install-clickhouse-windows10", title: "Как установить ClickHouse на Windows 10?", description: "Learn how to install and test ClickHouse on Windows 10 using WSL 2. Includes setup, troubleshooting, and running a test environment.", href: "/ru/resources/support-center/knowledge-base/setup-installation/install-clickhouse-windows10", category: "Setup & installation", tags: ["Tools and Utilities"] }, { id: "security/remove-default-user", title: "How do I remove the default user?", description: "Learn how to remove the default user when running ClickHouse Server.", href: "/ru/resources/support-center/knowledge-base/security/remove-default-user", category: "Security & access control", tags: ["Server Admin"] }, { id: "cloud-services/ingest-failures-23-9-release", title: "Как устранить сбои приёма данных после выпуска ClickHouse 23.9?", description: "Learn how to resolve ingest failures caused by stricter grant checking introduced in ClickHouse 23.9 for tables using `async_inserts`. Update grants to fix errors.", href: "/ru/resources/support-center/knowledge-base/cloud-services/ingest-failures-23-9-release", category: "Cloud", tags: ["Errors and Exceptions"] }, { id: "performance-optimization/insert-select-settings-tuning", title: "How do I solve TOO MANY PARTS error during an INSERT...SELECT?", description: "Resolve the TOO_MANY_PARTS error in ClickHouse during an `INSERT...SELECT` by tuning expert-level settings for larger blocks and increasing partition thresholds.", href: "/ru/resources/support-center/knowledge-base/performance-optimization/insert-select-settings-tuning", category: "Performance & optimization", tags: ["Settings", "Errors and Exceptions"] }, { id: "integrations/node-js-example", title: "How do I use NodeJS with @clickhouse/client", description: "Learn how to use @clickhouse/client in a Node.js application to interact with ClickHouse and perform queries.", href: "/ru/resources/support-center/knowledge-base/integrations/node-js-example", category: "Integrations & client libraries", tags: ["Language Clients"] }, { id: "monitoring-debugging/view-number-of-active-mutations", title: "How do I view the number of active or queued mutations?", description: "Monitor the number of active or queued mutations in ClickHouse, especially when performing `ALTER` or `UPDATE` operations. Use the `system.mutations` table for tracking mutations.", href: "/ru/resources/support-center/knowledge-base/monitoring-debugging/view-number-of-active-mutations", category: "Monitoring & debugging", tags: ["System Tables"] }, { id: "data-management/read-consistency", title: "How to achieve data read consistency in ClickHouse?", description: "Learn how to ensure data consistency when reading from ClickHouse, whether you're connected to the same node or a random node.", href: "/ru/resources/support-center/knowledge-base/data-management/read-consistency", category: "Data management", tags: ["Performance and Optimizations"] }, { id: "setup-installation/llvm-clang-up-to-date", title: "How to build LLVM and clang on Linux", description: "Commands to build LLVM and clang on Linux.", href: "/ru/resources/support-center/knowledge-base/setup-installation/llvm-clang-up-to-date", category: "Setup & installation", tags: ["Community", "Tools and Utilities"] }, { id: "data-management/calculate-ratio-of-zero-sparse-serialization", title: "How to calculate the ratio of empty/zero values in every column in a table", description: "Learn how to calculate the ratio of empty or zero values in every column of a ClickHouse table to optimize sparse column serialization.", href: "/ru/resources/support-center/knowledge-base/data-management/calculate-ratio-of-zero-sparse-serialization", category: "Data management", tags: ["Performance and Optimizations"] }, { id: "security/check-users-roles", title: "How to Check Users Assigned to Roles and Vice Versa", description: "Learn how to query ClickHouse's `system.role_grants` to find users assigned to roles and roles assigned to specific users.", href: "/ru/resources/support-center/knowledge-base/security/check-users-roles", category: "Security & access control", tags: ["Server Admin", "System Tables", "Managing Cloud"] }, { id: "monitoring-debugging/which-processes-are-currently-running", title: "How to check what code is currently running on a server?", description: "ClickHouse provides introspection tools like `system.stack_trace` for inspecting what code is currently running on each server thread, helping with debugging and performance monitoring.", href: "/ru/resources/support-center/knowledge-base/monitoring-debugging/which-processes-are-currently-running", category: "Monitoring & debugging", tags: ["Server Admin"] }, { id: "cloud-services/how-to-check-my-clickhouse-cloud-sevice-state", title: "Как проверить состояние сервиса ClickHouse Cloud", description: "Learn how to use the ClickHouse Cloud API to check if your service is stopped, idle, or running without waking it up.", href: "/ru/resources/support-center/knowledge-base/cloud-services/how-to-check-my-clickhouse-cloud-sevice-state", category: "Cloud", tags: ["Managing Cloud"] }, { id: "monitoring-debugging/collect-and-draw-traces", title: "Как собрать и визуализировать трассировку запроса", description: "В этом руководстве показано, как собирать и визуализировать трассировки запросов в самостоятельно управляемом ClickHouse с помощью встроенных инструментов или Grafana. Это особенно полезно при работе со сложными запросами, когда необходимо понять внутреннюю механику выполнения за пределами того, что предоставляет EXPLAIN.", href: "/ru/resources/support-center/knowledge-base/monitoring-debugging/collect-and-draw-traces", category: "Monitoring & debugging", tags: ["Tools and Utilities"] }, { id: "configuration-settings/configure-a-user-setting", title: "Как настроить параметры для пользователя в ClickHouse", description: "Узнайте, как задавать настройки в ClickHouse для отдельных запросов, клиентских сессий или конкретных пользователей с помощью команд `SET` и `ALTER USER`.", href: "/ru/resources/support-center/knowledge-base/configuration-settings/configure-a-user-setting", category: "Configuration & settings", tags: ["Settings"] }, { id: "materialized-views/projection-example", title: "Как проверить, используется ли проекция в запросе?", description: "Узнайте, как проверить, используется ли проекция в запросах ClickHouse, тестируя на примерных данных и используя EXPLAIN для подтверждения применения проекции.", href: "/ru/resources/support-center/knowledge-base/materialized-views/projection-example", category: "Materialized views & projections", tags: ["Data Modelling"] }, { id: "cloud-services/how-to-connect-to-ch-cloud-using-ssh-keys", title: "Как подключиться к ClickHouse с помощью SSH-ключей", description: "Как подключиться к ClickHouse и ClickHouse Cloud с помощью SSH-ключей", href: "/ru/resources/support-center/knowledge-base/cloud-services/how-to-connect-to-ch-cloud-using-ssh-keys", category: "Cloud", tags: ["Managing Cloud", "Security and Authentication"] }, { id: "data-management/dictionary-using-strings", title: "Как создать словарь ClickHouse со строковыми ключами и значениями", description: "Узнайте, как создать словарь ClickHouse, используя строковые ключи и значения из таблицы MergeTree в качестве источника, с примерами настройки и использования.", href: "/ru/resources/support-center/knowledge-base/data-management/dictionary-using-strings", category: "Data management", tags: ["Data Modelling"] }, { id: "tables-schema/how-to-create-table-to-query-multiple-remote-clusters", title: "Как создать таблицу для запросов к нескольким удалённым кластерам", description: "Как создать таблицу для запросов к нескольким удалённым кластерам", href: "/ru/resources/support-center/knowledge-base/tables-schema/how-to-create-table-to-query-multiple-remote-clusters", category: "Tables & schema", tags: ["Deployments and Scaling"] }, { id: "setup-installation/enabling-ssl-with-lets-encrypt", title: "Как включить SSL с Let's Encrypt на одном сервере ClickHouse", description: "Узнайте, как настроить SSL для одного сервера ClickHouse с помощью Let's Encrypt, включая выпуск сертификата, настройку и проверку.", href: "/ru/resources/support-center/knowledge-base/setup-installation/enabling-ssl-with-lets-encrypt", category: "Setup & installation", tags: ["Security and Authentication"] }, { id: "data-import-export/file-export", title: "Как экспортировать данные из ClickHouse в файл", description: "Узнайте о различных способах экспорта данных из ClickHouse, включая `INTO OUTFILE`, движок таблиц File и перенаправление командной строки.", href: "/ru/resources/support-center/knowledge-base/data-import-export/file-export", category: "Data import & export", tags: ["Data Export"] }, { id: "queries-sql/how-to-filter-a-clickhouse-table-by-an-array-column", title: "Как фильтровать таблицу ClickHouse по столбцу-массиву?", description: "Статья базы знаний о том, как фильтровать таблицу ClickHouse по столбцу-массиву.", href: "/ru/resources/support-center/knowledge-base/queries-sql/how-to-filter-a-clickhouse-table-by-an-array-column", category: "Queries & SQL", tags: ["Data Modelling", "Functions"] }, { id: "monitoring-debugging/generate-har-file", title: "Как создать HAR-файл для службы поддержки", description: "Файл HAR (HTTP Archive) фиксирует сетевую активность в вашем браузере. Он может помочь нашей службе поддержки диагностировать медленную загрузку страниц, неудачные запросы или другие сетевые проблемы.", href: "/ru/resources/support-center/knowledge-base/monitoring-debugging/generate-har-file", category: "Monitoring & debugging", tags: ["Tools and Utilities"] }, { id: "materialized-views/how-to-display-queries-using-mv", title: "Как определить запросы, использующие материализованные представления в ClickHouse", description: "Узнайте, как запрашивать журналы ClickHouse для определения всех запросов, связанных с материализованными представлениями, в заданном временном диапазоне.", href: "/ru/resources/support-center/knowledge-base/materialized-views/how-to-display-queries-using-mv", category: "Materialized views & projections", tags: ["System Tables"] }, { id: "performance-optimization/find-expensive-queries", title: "Как определить наиболее ресурсоёмкие запросы в ClickHouse", description: "Узнайте, как использовать таблицу `query_log` в ClickHouse для определения наиболее ресурсоёмких по памяти и процессору запросов на распределённых узлах.", href: "/ru/resources/support-center/knowledge-base/performance-optimization/find-expensive-queries", category: "Performance & optimization", tags: ["Performance and Optimizations"] }, { id: "configuration-settings/ignoring-incorrect-settings", title: "Как игнорировать некорректные настройки в ClickHouse", description: "Узнайте, как использовать параметр `skip_check_for_incorrect_settings`, чтобы позволить ClickHouse запускаться даже при некорректно заданных настройках уровня пользователя.", href: "/ru/resources/support-center/knowledge-base/configuration-settings/ignoring-incorrect-settings", category: "Configuration & settings", tags: ["Settings"] }, { id: "data-import-export/json-import", title: "Как импортировать JSON в ClickHouse?", description: "На этой странице показано, как импортировать JSON в ClickHouse", href: "/ru/resources/support-center/knowledge-base/data-import-export/json-import", category: "Data import & export", tags: [] }, { id: "setup-installation/how-to-increase-thread-pool-size", title: "Как увеличить количество потоков в ClickHouse", description: "Узнайте, как настроить глобальный пул потоков в ClickHouse, изменяя параметры `max_thread_pool_size`, `thread_pool_queue_size` и `max_thread_pool_free_size`.", href: "/ru/resources/support-center/knowledge-base/setup-installation/how-to-increase-thread-pool-size", category: "Setup & installation", tags: ["Performance and Optimizations"] }, { id: "data-import-export/kafka-to-clickhouse-setup", title: "Как загружать данные из Kafka в ClickHouse", description: "Узнайте, как загружать данные из топика Kafka в ClickHouse с помощью движка таблиц Kafka, материализованных представлений и таблиц MergeTree.", href: "/ru/resources/support-center/knowledge-base/data-import-export/kafka-to-clickhouse-setup", category: "Data import & export", tags: ["Data Ingestion"] }, { id: "data-import-export/ingest-parquet-files-in-s3", title: "Как загружать файлы Parquet из бакета S3", description: "Изучите основы использования движка таблиц S3 в ClickHouse для загрузки и запроса файлов Parquet из бакета S3, включая настройку, права доступа и примеры импорта данных.", href: "/ru/resources/support-center/knowledge-base/data-import-export/ingest-parquet-files-in-s3", category: "Data import & export", tags: ["Data Ingestion"] }, { id: "queries-sql/how-to-insert-all-rows-from-another-table", title: "Как вставить все строки из одной таблицы в другую?", description: "Статья базы знаний о том, как вставить все строки из одной таблицы в другую.", href: "/ru/resources/support-center/knowledge-base/queries-sql/how-to-insert-all-rows-from-another-table", category: "Queries & SQL", tags: ["Data Ingestion"] }, { id: "performance-optimization/check-query-processing-time-only", title: "Как измерить время обработки запроса без возврата строк", description: "Узнайте, как использовать параметр `FORMAT Null` в ClickHouse для измерения времени обработки запроса без возврата каких-либо строк клиенту.", href: "/ru/resources/support-center/knowledge-base/performance-optimization/check-query-processing-time-only", category: "Performance & optimization", tags: ["Performance and Optimizations"] }, { id: "cloud-services/opt-out-core-dump-collection", title: "Как отказаться от сбора отчётов об ошибках", description: "В этой статье показано, как отказаться от сбора отчётов об ошибках в ClickHouse Cloud", href: "/ru/resources/support-center/knowledge-base/cloud-services/opt-out-core-dump-collection", category: "Cloud", tags: ["Managing Cloud"] }, { id: "monitoring-debugging/outputSendLogsLevelTracesToFile", title: "How to output send logs level traces to file using the clickhouse-client", description: "How to output send logs level traces to file using the clickhouse-client", href: "/ru/resources/support-center/knowledge-base/monitoring-debugging/outputSendLogsLevelTracesToFile", category: "Monitoring & debugging", tags: ["Data Export"] }, { id: "tables-schema/recreate-table-across-terminals", title: "How to quickly recreate a small table across different terminals", description: "Learn how to quickly recreate a small table and its data across different terminals using copy/paste for development environments.", href: "/ru/resources/support-center/knowledge-base/tables-schema/recreate-table-across-terminals", category: "Tables & schema", tags: ["Tools and Utilities"] }, { id: "troubleshooting/recovering-from-corrupt-keeper-snapshot", title: "Как восстановиться после повреждения снимка Keeper", description: "Статья, описывающая восстановление после повреждения снимка Keeper: как проявляется проблема, что такое снимок и где его найти, а также возможные стратегии восстановления.", href: "/ru/resources/support-center/knowledge-base/troubleshooting/recovering-from-corrupt-keeper-snapshot", category: "Troubleshooting & errors", tags: ["Troubleshooting"] }, { id: "troubleshooting/restore-replica-after-storage-failure", title: "Как восстановить реплику после сбоя хранилища", description: "В этой статье объясняется, как восстановить данные при использовании реплицированных таблиц в атомарных базах данных ClickHouse, если диски/хранилище одной из реплик утеряны или повреждены.", href: "/ru/resources/support-center/knowledge-base/troubleshooting/restore-replica-after-storage-failure", category: "Troubleshooting & errors", tags: ["Deployments and Scaling"] }, { id: "integrations/how-to-set-up-ch-on-docker-odbc-connect-mssql", title: "How to set up ClickHouse on Docker with ODBC to connect to a Microsoft SQL Server (MSSQL) database", description: "How to set up ClickHouse on Docker with ODBC to connect to a Microsoft SQL Server (MSSQL) database", href: "/ru/resources/support-center/knowledge-base/integrations/how-to-set-up-ch-on-docker-odbc-connect-mssql", category: "Integrations & client libraries", tags: ["Native Clients and Interfaces"] }, { id: "queries-sql/using-array-join-to-extract-and-query-attributes", title: "How to use array join to extract and query varying attributes using map keys and values", description: "Simple example to illustrate how to use array join to extract and query varying attributes using map keys and values", href: "/ru/resources/support-center/knowledge-base/queries-sql/using-array-join-to-extract-and-query-attributes", category: "Queries & SQL", tags: ["Functions"] }, { id: "materialized-views/how-to-use-parametrised-views", title: "How to Use Parameterized Views in ClickHouse", description: "Learn how to create and query parameterized views in ClickHouse for dynamic data slicing based on query-time parameters.", href: "/ru/resources/support-center/knowledge-base/materialized-views/how-to-use-parametrised-views", category: "Materialized views & projections", tags: ["Use Cases"] }, { id: "tables-schema/exchangeStatementToSwitchTables", title: "How to use the exchange command to switch tables", description: "How to use the exchange command to switch tables", href: "/ru/resources/support-center/knowledge-base/tables-schema/exchangeStatementToSwitchTables", category: "Tables & schema", tags: ["Managing Data"] }, { id: "queries-sql/compare-resultsets", title: "How to Validate if Two Queries Return the Same Result-sets", description: "Learn how to validate that two ClickHouse queries produce identical result-sets using hash functions and comparison techniques.", href: "/ru/resources/support-center/knowledge-base/queries-sql/compare-resultsets", category: "Queries & SQL", tags: ["Functions"] }, { id: "monitoring-debugging/check-query-cache-in-use", title: "How to verify query cache usage in ClickHouse", description: "Learn how to check if query cache is being utilized in ClickHouse using `clickhouse-client` trace logs or SQL commands.", href: "/ru/resources/support-center/knowledge-base/monitoring-debugging/check-query-cache-in-use", category: "Monitoring & debugging", tags: ["Performance and Optimizations"] }, { id: "cloud-services/unable-to-access-cloud-service", title: "I am unable to access a ClickHouse Cloud service", description: "Troubleshooting access issues with ClickHouse Cloud services, including IP Access List configuration", href: "/ru/resources/support-center/knowledge-base/cloud-services/unable-to-access-cloud-service", category: "Cloud", tags: ["Errors and Exceptions", "Managing Cloud"] }, { id: "performance-optimization/finding-expensive-queries-by-memory-usage", title: "Identifying Expensive Queries by Memory Usage in ClickHouse", description: "Learn how to use the `system.query_log` table to find the most memory-intensive queries in ClickHouse, with examples for clustered and standalone setups.", href: "/ru/resources/support-center/knowledge-base/performance-optimization/finding-expensive-queries-by-memory-usage", category: "Performance & optimization", tags: ["Performance and Optimizations"] }, { id: "data-import-export/importing-and-working-with-json-array-objects", title: "Importing and Querying JSON Array Objects in ClickHouse", description: "Learn how to import JSON array objects into ClickHouse and perform advanced queries using JSON functions and array operations.", href: "/ru/resources/support-center/knowledge-base/data-import-export/importing-and-working-with-json-array-objects", category: "Data import & export", tags: ["Data Formats"] }, { id: "data-import-export/importing-geojason-with-nested-object-array", title: "Importing GeoJSON with a deeply nested object array", description: "Learn how to import GeoJSON files with deeply nested object arrays into ClickHouse and query the nested feature data.", href: "/ru/resources/support-center/knowledge-base/data-import-export/importing-geojason-with-nested-object-array", category: "Data import & export", tags: ["Data Formats"] }, { id: "performance-optimization/improve-map-performance", title: "Improving Map lookup performance in ClickHouse", description: "Learn how to optimize Map column lookups in ClickHouse for better query performance by materializing specific keys as standalone columns.", href: "/ru/resources/support-center/knowledge-base/performance-optimization/improve-map-performance", category: "Performance & optimization", tags: ["Performance and Optimizations"] }, { id: "tables-schema/delete-old-data", title: "Is it possible to delete old records from a ClickHouse table?", description: "This page answers the question of whether it is possible to delete old records from a ClickHouse table", href: "/ru/resources/support-center/knowledge-base/tables-schema/delete-old-data", category: "Tables & schema", tags: [] }, { id: "general-faqs/separate-storage", title: "Is it possible to deploy ClickHouse with separate storage and compute?", description: "This page provides an answer as to whether it is possible to deploy ClickHouse with separate storage and compute", href: "/ru/resources/support-center/knowledge-base/general-faqs/separate-storage", category: "General & FAQs", tags: [] }, { id: "data-import-export/json-extract-example", title: "JSON Extract example", description: "A short example on how to extract base types from JSON", href: "/ru/resources/support-center/knowledge-base/data-import-export/json-extract-example", category: "Data import & export", tags: ["Data Formats"] }, { id: "queries-sql/calculate-pi-using-sql", title: "Let's calculate pi using SQL", description: "It's Pi Day! Let's calculate pi using ClickHouse SQL", href: "/ru/resources/support-center/knowledge-base/queries-sql/calculate-pi-using-sql", category: "Queries & SQL", tags: ["Use Cases"] }, { id: "cloud-services/clickhouse-cloud-api-usage", title: "Managing ClickHouse Cloud Service with API and cURL", description: "Learn how to start, stop, and resume a ClickHouse Cloud service using API endpoints and cURL commands.", href: "/ru/resources/support-center/knowledge-base/cloud-services/clickhouse-cloud-api-usage", category: "Cloud", tags: ["Managing Cloud", "Tools and Utilities"] }, { id: "monitoring-debugging/mapping-of-system-metrics-to-prometheus-metrics", title: "Mapping of metrics used in system.dashboards to Prometheus metrics in `system.custom_metrics`", description: "Mapping of metrics used in system.dashboards to Prometheus metrics in system.custom_metrics", href: "/ru/resources/support-center/knowledge-base/monitoring-debugging/mapping-of-system-metrics-to-prometheus-metrics", category: "Monitoring & debugging", tags: ["System Tables"] }, { id: "security/windows-active-directory-to-ch-roles", title: "Mapping Windows Active Directory security groups to ClickHouse roles", description: "Example of mapping Windows Active Directory security groups to ClickHouse roles", href: "/ru/resources/support-center/knowledge-base/security/windows-active-directory-to-ch-roles", category: "Security & access control", tags: ["Tools and Utilities"] }, { id: "performance-optimization/memory-limit-exceeded-for-query", title: "Memory limit exceeded for query", description: "Troubleshooting memory limit exceeded errors for a query", href: "/ru/resources/support-center/knowledge-base/performance-optimization/memory-limit-exceeded-for-query", category: "Performance & optimization", tags: ["Errors and Exceptions"] }, { id: "integrations/ODBC-authentication-failed-error-using-PowerBI-CH-connector", title: "ODBC authentication failed error when using the Power BI ClickHouse connector", description: "ODBC authentication failed error when using the Power BI ClickHouse connector", href: "/ru/resources/support-center/knowledge-base/integrations/ODBC-authentication-failed-error-using-PowerBI-CH-connector", category: "Integrations & client libraries", tags: ["Native Clients and Interfaces", "Errors and Exceptions"] }, { id: "monitoring-debugging/profiling-clickhouse-with-llvm-xray", title: "Profiling ClickHouse with LLVM's XRay", description: "Learn how to profile ClickHouse using LLVM's XRay instrumentation profiler, visualize traces, and analyze performance.", href: "/ru/resources/support-center/knowledge-base/monitoring-debugging/profiling-clickhouse-with-llvm-xray", category: "Monitoring & debugging", tags: ["Performance and Optimizations", "Tools and Utilities"] }, { id: "integrations/python-http-requests", title: "Python quick example using HTTP requests module", description: "An example using Python and requests module to write and read to ClickHouse", href: "/ru/resources/support-center/knowledge-base/integrations/python-http-requests", category: "Integrations & client libraries", tags: ["Native Clients and Interfaces"] }, { id: "configuration-settings/maximum-number-of-tables-and-databases", title: "Recommended Maximum Databases, Tables, Partitions, and Parts in ClickHouse", description: "Learn the recommended maximum limits for databases, tables, partitions, and parts in a ClickHouse cluster to ensure optimal performance.", href: "/ru/resources/support-center/knowledge-base/configuration-settings/maximum-number-of-tables-and-databases", category: "Configuration & settings", tags: ["Performance and Optimizations", "Deployments and Scaling"] }, { id: "data-import-export/cannot-append-data-to-parquet-format", title: 'Resolving "Cannot Append Data in Parquet Format" error in ClickHouse', description: 'Are you getting the error "Cannot append data in format Parquet to file" error in ClickHouse? Let\'s take a look at how to resolve it.', href: "/ru/resources/support-center/knowledge-base/data-import-export/cannot-append-data-to-parquet-format", category: "Data import & export", tags: ["Errors and Exceptions", "Data Formats"] }, { id: "troubleshooting/exception-too-many-parts", title: 'Resolving "Too Many Parts" error in ClickHouse', description: 'Learn how to address the "Too many parts" error in ClickHouse by optimizing insert rates, configuring MergeTree settings, and managing partitions effectively.', href: "/ru/resources/support-center/knowledge-base/troubleshooting/exception-too-many-parts", category: "Troubleshooting & errors", tags: ["Errors and Exceptions"] }, { id: "troubleshooting/certificate-verify-failed-error", title: "Resolving SSL Certificate Verify Error in ClickHouse", description: "Learn how to resolve the SSL Exception CERTIFICATE_VERIFY_FAILED error.", href: "/ru/resources/support-center/knowledge-base/troubleshooting/certificate-verify-failed-error", category: "Troubleshooting & errors", tags: ["Security and Authentication", "Errors and Exceptions"] }, { id: "troubleshooting/connection-timeout-remote-remoteSecure", title: "Resolving Timeout Errors with `remote` and `remoteSecure` Table Functions", description: "Learn how to fix timeout errors when using `remote` or `remoteSecure` table functions in ClickHouse by adjusting the connection timeout settings.", href: "/ru/resources/support-center/knowledge-base/troubleshooting/connection-timeout-remote-remoteSecure", category: "Troubleshooting & errors", tags: ["Errors and Exceptions"] }, { id: "tables-schema/runbook-json", title: "Runbook: схема JSON", description: "Выберите подходящий подход к схеме для данных JSON в ClickHouse — типизированные столбцы, гибридный вариант, нативный JSON или хранение в виде String", href: "/ru/resources/support-center/knowledge-base/tables-schema/runbook-json", category: "Tables & schema", tags: ["Runbooks", "Data Modelling"] }, { id: "tables-schema/search-across-node-for-tables-with-a-wildcard", title: "Searching across nodes for tables with a wildcard", description: "Learn how to search across nodes for tables with a wildcard.", href: "/ru/resources/support-center/knowledge-base/tables-schema/search-across-node-for-tables-with-a-wildcard", category: "Tables & schema", tags: ["Deployments and Scaling"] }, { id: "performance-optimization/query-max-execution-time", title: "Setting a limit on query execution time", description: "How to enforce limit on max query execution time", href: "/ru/resources/support-center/knowledge-base/performance-optimization/query-max-execution-time", category: "Performance & optimization", tags: ["Managing Cloud", "Settings"] }, { id: "data-import-export/json-simple-example", title: "Simple example flow for extracting JSON data using a landing table with a Materialized View", description: "Simple example flow for extracting JSON data using a landing table with a Materialized View", href: "/ru/resources/support-center/knowledge-base/data-import-export/json-simple-example", category: "Data import & export", tags: ["Data Formats"] }, { id: "performance-optimization/async-vs-optimize-read-in-order", title: "Synchronous data reading", description: "The new setting `allow_asynchronous_read_from_io_pool_for_merge_tree` allows the number of reading threads (streams) to be higher than the number of threads in the rest of the query execution pipeline.", href: "/ru/resources/support-center/knowledge-base/performance-optimization/async-vs-optimize-read-in-order", category: "Performance & optimization", tags: ["Settings", "Performance and Optimizations"] }, { id: "integrations/terraform-example", title: "Terraform example on how to use Cloud API", description: "This covers an example of how you can use terraform to create/delete clusters using the API", href: "/ru/resources/support-center/knowledge-base/integrations/terraform-example", category: "Integrations & client libraries", tags: ["Native Clients and Interfaces"] }, { id: "performance-optimization/tips-tricks-optimizing-basic-data-types-in-clickhouse", title: "Tips and tricks on optimizing basic data types in ClickHouse", description: "Tips and tricks on optimizing basic data types in ClickHouse", href: "/ru/resources/support-center/knowledge-base/performance-optimization/tips-tricks-optimizing-basic-data-types-in-clickhouse", category: "Performance & optimization", tags: ["Performance and Optimizations"] }, { id: "data-management/understanding-part-types-and-storage-formats", title: "Типы частей и форматы хранения данных", description: "Узнайте о различных типах частей (Wide и Compact) и форматах хранения (Full и Packed) в ClickHouse, а также о том, как они влияют на производительность.", href: "/ru/resources/support-center/knowledge-base/data-management/understanding-part-types-and-storage-formats", category: "Data management", tags: ["Core Data Concepts"] }, { id: "queries-sql/useful-queries-for-troubleshooting", title: "Useful queries for troubleshooting", description: "A collection of handy queries for troubleshooting ClickHouse, including monitoring table sizes, long-running queries, and errors.", href: "/ru/resources/support-center/knowledge-base/queries-sql/useful-queries-for-troubleshooting", category: "Queries & SQL", tags: ["Settings"] }, { id: "general-faqs/use-clickhouse-for-log-analytics", title: "Using ClickHouse for log analytics", description: "ClickHouse is popular for logs and metrics analysis because of the real-time analytics capabilities provided. Ready to find out more?", href: "/ru/resources/support-center/knowledge-base/general-faqs/use-clickhouse-for-log-analytics", category: "General & FAQs", tags: ["Use Cases"] }, { id: "queries-sql/filtered-aggregates", title: "Using filtered aggregates in ClickHouse", description: "Learn how to use filtered aggregates in ClickHouse with `-If` and `-Distinct` aggregate combinators to simplify query syntax and enhance analytics.", href: "/ru/resources/support-center/knowledge-base/queries-sql/filtered-aggregates", category: "Queries & SQL", tags: ["Functions"] }, { id: "general-faqs/dependencies", title: "What are the 3rd-party dependencies for running ClickHouse?", description: "ClickHouse is self-contained and has no runtime dependencies", href: "/ru/resources/support-center/knowledge-base/general-faqs/dependencies", category: "General & FAQs", tags: [] }, { id: "general-faqs/dbms-naming", title: 'What does "ClickHouse" mean?', description: 'Learn about What does "ClickHouse" mean?', href: "/ru/resources/support-center/knowledge-base/general-faqs/dbms-naming", category: "General & FAQs", tags: [] }, { id: "general-faqs/ne-tormozit", title: "What does “не тормозит” mean?", description: 'This page explains what "Не тормозит" means', href: "/ru/resources/support-center/knowledge-base/general-faqs/ne-tormozit", category: "General & FAQs", tags: [] }, { id: "integrations/oracle-odbc", title: "What if I have a problem with encodings when using Oracle via ODBC?", description: "This page provides guidance on what to do if you have a problem with encodings when using Oracle via ODBC", href: "/ru/resources/support-center/knowledge-base/integrations/oracle-odbc", category: "Integrations & client libraries", tags: [] }, { id: "general-faqs/columnar-database", title: "What is a columnar database?", description: "A columnar database stores the data of each column independently. This allows reading data from disk only for those columns that are used in any given query.", href: "/ru/resources/support-center/knowledge-base/general-faqs/columnar-database", category: "General & FAQs", tags: ["Core Data Concepts"] }, { id: "general-faqs/olap", title: "What is OLAP?", description: "An explainer on what Online Analytical Processing is", href: "/ru/resources/support-center/knowledge-base/general-faqs/olap", category: "General & FAQs", tags: [] }, { id: "performance-optimization/optimize-final-vs-final", title: "What is the difference between OPTIMIZE FINAL and FINAL?", description: "Discusses the differences between OPTIMIZE FINAL and FINAL, and when to use and avoid them.", href: "/ru/resources/support-center/knowledge-base/performance-optimization/optimize-final-vs-final", category: "Performance & optimization", tags: ["Core Data Concepts"] }, { id: "general-faqs/sql", title: "What SQL syntax does ClickHouse support?", description: "ClickHouse supports 100% of SQL syntax", href: "/ru/resources/support-center/knowledge-base/general-faqs/sql", category: "General & FAQs", tags: [] }, { id: "data-management/when-is-ttl-applied", title: "When are TTL rules applied, and do we have control over it?", description: "TTL rules in ClickHouse are eventually applied, and you can control when they are executed using the `merge_with_ttl_timeout` setting. Learn how to force TTL application and manage background threads for TTL execution.", href: "/ru/resources/support-center/knowledge-base/data-management/when-is-ttl-applied", category: "Data management", tags: ["Core Data Concepts"] }, { id: "setup-installation/production", title: "Which ClickHouse version to use in production?", description: "This page provides guidance on which ClickHouse version to use in production", href: "/ru/resources/support-center/knowledge-base/setup-installation/production", category: "Setup & installation", tags: [] }, { id: "general-faqs/who-is-using-clickhouse", title: "Who is using ClickHouse?", description: "Describes who is using ClickHouse", href: "/ru/resources/support-center/knowledge-base/general-faqs/who-is-using-clickhouse", category: "General & FAQs", tags: [] }, { id: "data-management/dictionaries-consistent-state", title: "Why can't I see my data in a dictionary in ClickHouse Cloud?", description: "There is an issue where data in dictionaries may not be visible immediately after creation.", href: "/ru/resources/support-center/knowledge-base/data-management/dictionaries-consistent-state", category: "Data management", tags: ["Managing Cloud", "Data Modelling"] }, { id: "general-faqs/why-recommend-clickhouse-keeper-over-zookeeper", title: "Why is ClickHouse Keeper recommended over ZooKeeper?", description: "ClickHouse Keeper improves upon ZooKeeper with features like reduced disk space usage, faster recovery, and less memory consumption, offering better performance for ClickHouse clusters.", href: "/ru/resources/support-center/knowledge-base/general-faqs/why-recommend-clickhouse-keeper-over-zookeeper", category: "General & FAQs", tags: ["Core Data Concepts"] }, { id: "monitoring-debugging/why-default-logging-verbose", title: "Why is ClickHouse logging so verbose by default?", description: "Learn why the ClickHouse developers chose to set a verbose logging level by default.", href: "/ru/resources/support-center/knowledge-base/monitoring-debugging/why-default-logging-verbose", category: "Monitoring & debugging", tags: ["Settings"] }, { id: "performance-optimization/why-is-my-primary-key-not-used", title: "Why is my primary key not used? How can I check?", description: "Covers a common reason why a primary key is not used in ordering and how we can confirm", href: "/ru/resources/support-center/knowledge-base/performance-optimization/why-is-my-primary-key-not-used", category: "Performance & optimization", tags: ["Performance and Optimizations"] }, { id: "general-faqs/mapreduce", title: "Why not use something like MapReduce?", description: "This page explains why you would use ClickHouse over MapReduce", href: "/ru/resources/support-center/knowledge-base/general-faqs/mapreduce", category: "General & FAQs", tags: [] }] }; export const KBExplorer = ({index, featured = []}) => { const featuredIds = featured.map(f => f.id); const assetBase = typeof window !== "undefined" && window.location.pathname.startsWith("/docs") ? "/docs" : ""; const withBase = p => p && p.startsWith("/") ? assetBase + p : p; const data = index || ({ categories: [], tags: [], articles: [] }); const readStoredList = (key, fallback) => { if (typeof window === "undefined") return fallback; try { const raw = localStorage.getItem(key); if (!raw) return fallback; const parsed = JSON.parse(raw); return Array.isArray(parsed) ? parsed : fallback; } catch { return fallback; } }; const [searchTerm, setSearchTerm] = useState(() => { if (typeof window !== "undefined") { return localStorage.getItem("kb-search") || ""; } return ""; }); const [selectedCategories, setSelectedCategories] = useState(() => readStoredList("kb-categories", ["All"])); const [currentPage, setCurrentPage] = useState(1); const itemsPerPage = 6; const [categoriesDropdownOpen, setCategoriesDropdownOpen] = useState(true); const [showFilters, setShowFilters] = useState(() => { if (typeof window !== "undefined") { return localStorage.getItem("kb-show-filters") !== "false"; } return true; }); const [isDesktop, setIsDesktop] = useState(true); useEffect(() => { if (typeof window === "undefined" || !window.matchMedia) return; const mq = window.matchMedia("(min-width: 1024px)"); const update = () => setIsDesktop(mq.matches); update(); mq.addEventListener("change", update); return () => mq.removeEventListener("change", update); }, []); useEffect(() => { if (typeof window !== "undefined") localStorage.setItem("kb-search", searchTerm); }, [searchTerm]); useEffect(() => { if (typeof window !== "undefined") localStorage.setItem("kb-categories", JSON.stringify(selectedCategories)); }, [selectedCategories]); useEffect(() => { if (typeof window !== "undefined") localStorage.setItem("kb-show-filters", String(showFilters)); }, [showFilters]); useEffect(() => { setCurrentPage(1); }, [searchTerm, selectedCategories]); const makeToggle = setter => value => { setter(prev => { if (value === "All") return ["All"]; const withoutAll = prev.filter(v => v !== "All"); const result = withoutAll.includes(value) ? withoutAll.filter(v => v !== value) : [...withoutAll, value]; return result.length === 0 ? ["All"] : result; }); }; const toggleCategory = makeToggle(setSelectedCategories); const categoryOptions = ["All", ...data.categories]; const resetFilters = () => { setSearchTerm(""); setSelectedCategories(["All"]); }; const hasActiveFilters = searchTerm !== "" || !selectedCategories.includes("All"); const filteredArticles = useMemo(() => { const term = searchTerm.toLowerCase(); return data.articles.filter(article => { if (featuredIds.includes(article.id)) return false; const matchesSearch = term === "" || article.title.toLowerCase().includes(term) || (article.description || "").toLowerCase().includes(term) || (article.tags || []).some(t => t.toLowerCase().includes(term)); const matchesCategory = selectedCategories.includes("All") || selectedCategories.includes(article.category); return matchesSearch && matchesCategory; }); }, [data.articles, searchTerm, selectedCategories, featuredIds]); const handleCardClick = (e, href) => { if (e.defaultPrevented) return; if (e.metaKey || e.ctrlKey || e.shiftKey || e.altKey || e.button !== 0) return; e.preventDefault(); window.location.assign(withBase(href)); }; const featuredArticles = featured.map(f => { const article = data.articles.find(a => a.id === f.id); return { id: f.id, href: article && article.href || `/ru/resources/support-center/knowledge-base/${f.id}`, title: article && article.title || "" }; }).filter(f => f.title); const Expandable = ({label, options, selectedOptions, onToggle, isOpen, setIsOpen}) => { const activeCount = selectedOptions.filter(o => o !== "All").length; const displayLabel = activeCount > 0 ? `${label} (${activeCount})` : label; return
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{} {featuredArticles.length > 0 &&

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{featuredArticles.map(article => handleCardClick(e, article.href)} className="group block rounded-xl overflow-hidden border border-gray-200 dark:border-white/10 transition-all hover:border-black dark:hover:border-[#FAFF69] hover:shadow-md"> {}
{article.title}
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)}
} {}
{}
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{}

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{filteredArticles.length > 0 ? <> {} {(() => { const totalPages = Math.ceil(filteredArticles.length / itemsPerPage); if (totalPages <= 1) return null; const hasPrev = currentPage > 1; const hasNext = currentPage < totalPages; return
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