> ## 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. # Centro de soporte > Consulta y busca en la base de conocimientos de ClickHouse 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: "A Python client working example for connecting to ClickHouse Cloud service", description: "Learn how to connect to ClickHouse Cloud Service using Python with a step-by-step example using the clickhouse-connect driver.", href: "/es/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: "About quotas and query complexity", 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: "/es/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: "/es/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: "/es/resources/support-center/knowledge-base/tables-schema/add-column", category: "Tables & schema", tags: ["Data Modelling"] }, { id: "configuration-settings/alter-user-settings-exception", title: "Alter user settings exception", description: "Handing the an exception thrown when altering user settings", href: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "Servicio de endpoint VPC de AWS PrivateLink para clúster MSK", description: "Pasos de configuración para exponer un clúster MSK a ClickPipes mediante los servicios de endpoint VPC de AWS PrivateLink.", href: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "Consultas RBAC comunes", description: "Consultas para ayudar a otorgar permisos específicos a los usuarios.", href: "/es/resources/support-center/knowledge-base/security/common-rbac-queries", category: "Seguridad y control de acceso", tags: ["Security and Authentication", "Managing Cloud"] }, { id: "queries-sql/comparing-metrics-between-queries", title: "Comparación de métricas entre consultas en decibelios", description: "Una consulta para comparar métricas entre dos consultas en ClickHouse.", href: "/es/resources/support-center/knowledge-base/queries-sql/comparing-metrics-between-queries", category: "Consultas y SQL", tags: ["Performance and Optimizations"] }, { id: "configuration-settings/configure-cap-ipc-lock-and-cap-sys-nice-in-docker", title: "Configuración de las capacidades CAP_IPC_LOCK y CAP_SYS_NICE en Docker", description: "Aprenda a resolver las advertencias de capacidad de Docker para `CAP_IPC_LOCK` y `CAP_SYS_NICE` al ejecutar ClickHouse en un contenedor.", href: "/es/resources/support-center/knowledge-base/configuration-settings/configure-cap-ipc-lock-and-cap-sys-nice-in-docker", category: "Configuración y ajustes", tags: ["Errors and Exceptions"] }, { id: "troubleshooting/configure-cap-ipc-lock-and-cap-sys-nice-in-docker", title: "Configuración de las capacidades CAP_IPC_LOCK y CAP_SYS_NICE en Docker", description: "Aprenda a resolver las advertencias de capacidad de Docker para `CAP_IPC_LOCK` y `CAP_SYS_NICE` al ejecutar ClickHouse en un contenedor.", href: "/es/resources/support-center/knowledge-base/troubleshooting/configure-cap-ipc-lock-and-cap-sys-nice-in-docker", category: "Solución de problemas y errores", tags: ["Errors and Exceptions"] }, { id: "cloud-services/confluent-cloud-private-connectivity-for-clickpipes", title: "Conectividad privada de Confluent Cloud para ClickPipes", description: "Cómo conectar ClickPipes a un clúster de Kafka de Confluent Cloud existente mediante AWS PrivateLink o GCP Private Service Connect.", href: "/es/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: "Crear un alias DNS personalizado configurando un proxy inverso", description: "Aprenda a configurar un alias DNS personalizado para su instancia usando un proxy inverso", href: "/es/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: "Este artículo explica cómo resolver el error DB::Exception relacionado con partes que se intersectan en ClickHouse, generalmente causado por una condición de carrera o intervención manual en los datos de ZooKeeper.", href: "/es/resources/support-center/knowledge-base/troubleshooting/part-intersects-previous-part", category: "Solución de problemas y errores", tags: ["Errors and Exceptions", "System Tables"] }, { id: "setup-installation/difference-between-official-builds-and-3rd-party", title: "Diferencias entre las compilaciones oficiales y de terceros de ClickHouse", description: "Comprenda las diferencias clave entre las compilaciones oficiales de ClickHouse y las de terceros, incluidas actualizaciones, compatibilidad y consideraciones de seguridad.", href: "/es/resources/support-center/knowledge-base/setup-installation/difference-between-official-builds-and-3rd-party", category: "Configuración e instalación", tags: ["Concepts"] }, { id: "general-faqs/cost-based", title: "¿Tiene ClickHouse un optimizador basado en costos?", description: "ClickHouse cuenta con ciertos mecanismos de optimización basados en costos", href: "/es/resources/support-center/knowledge-base/general-faqs/cost-based", category: "General y preguntas frecuentes", tags: [] }, { id: "general-faqs/datalake", title: "¿ClickHouse admite lagos de datos?", description: "ClickHouse admite lagos de datos, incluidos Iceberg, Delta Lake, Apache Hudi, Apache Paimon, Hive", href: "/es/resources/support-center/knowledge-base/general-faqs/datalake", category: "General y preguntas frecuentes", tags: [] }, { id: "general-faqs/distributed-join", title: "¿ClickHouse admite JOIN distribuido?", description: "ClickHouse admite JOIN distribuido", href: "/es/resources/support-center/knowledge-base/general-faqs/distributed-join", category: "General y preguntas frecuentes", tags: [] }, { id: "general-faqs/federated", title: "¿ClickHouse admite consultas federadas?", description: "ClickHouse admite una amplia gama de consultas federadas e híbridas", href: "/es/resources/support-center/knowledge-base/general-faqs/federated", category: "General y preguntas frecuentes", tags: [] }, { id: "general-faqs/concurrency", title: "¿ClickHouse admite consultas frecuentes y concurrentes?", description: "ClickHouse admite alto QPS y alta concurrencia", href: "/es/resources/support-center/knowledge-base/general-faqs/concurrency", category: "General y preguntas frecuentes", tags: [] }, { id: "cloud-services/multi-region-replication", title: "¿ClickHouse admite replicación multirregión?", description: "Esta página responde si ClickHouse admite replicación multirregión", href: "/es/resources/support-center/knowledge-base/cloud-services/multi-region-replication", category: "Cloud", tags: [] }, { id: "general-faqs/updates", title: "¿ClickHouse admite actualizaciones en tiempo real?", description: "ClickHouse admite actualizaciones en tiempo real ligeras", href: "/es/resources/support-center/knowledge-base/general-faqs/updates", category: "General y preguntas frecuentes", tags: [] }, { id: "security/row-column-policy", title: "¿ClickHouse admite seguridad a nivel de fila y columna?", description: "Conozca las restricciones de acceso a nivel de fila y columna en ClickHouse y ClickHouse Cloud, y cómo implementar el control de acceso basado en roles (RBAC) con políticas.", href: "/es/resources/support-center/knowledge-base/security/row-column-policy", category: "Seguridad y control de acceso", tags: ["Security and Authentication"] }, { id: "cloud-services/execute-system-queries-in-cloud", title: "Ejecutar sentencias SYSTEM en todos los nodos de ClickHouse Cloud", description: "Aprenda a usar `ON CLUSTER` y `clusterAllReplicas` para ejecutar sentencias y consultas SYSTEM en todos los nodos de un servicio de ClickHouse Cloud.", href: "/es/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: "Encontrar recuentos y tamaños de partes amplias o compactas", description: "Este artículo de la base de conocimientos le muestra cómo encontrar recuentos de partes según el tipo de parte: amplia o compacta.", href: "/es/resources/support-center/knowledge-base/troubleshooting/count-parts-by-type", category: "Solución de problemas y errores", tags: ["Troubleshooting"] }, { id: "troubleshooting/fix-developer-verification-error-in-macos", title: "Corregir el error de verificación del desarrollador en macOS", description: "Aprenda a resolver el error de verificación del desarrollador de macOS al ejecutar comandos de ClickHouse, usando la Configuración del sistema o el terminal.", href: "/es/resources/support-center/knowledge-base/troubleshooting/fix-developer-verification-error-in-macos", category: "Solución de problemas y errores", tags: ["Errors and Exceptions"] }, { id: "data-import-export/s3-export-data-year-month-folders", title: "¿Cómo puedo realizar escrituras particionadas por año y mes en S3?", description: "Aprenda a escribir datos particionados por año y mes en un bucket de S3 en ClickHouse, usando una estructura de ruta personalizada para organizar los datos.", href: "/es/resources/support-center/knowledge-base/data-import-export/s3-export-data-year-month-folders", category: "Importación y exportación de datos", tags: ["Data Export", "Native Clients and Interfaces"] }, { id: "data-import-export/kafka-clickhouse-json", title: "¿Cómo usar el nuevo tipo de dato JSON con 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: "/es/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: "¿Cómo cambio mi contacto de facturación en ClickHouse Cloud?", description: "Let's learn how to change your billing address in ClickHouse Cloud.", href: "/es/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: "/es/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: "¿Cómo convierto archivos de Parquet a CSV o JSON?", description: "Learn how to use ClickHouse's `clickhouse-local` tool to easily convert Parquet files to CSV or JSON formats.", href: "/es/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: "¿Cómo exporto datos de MySQL a Parquet, CSV o JSON usando 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: "/es/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: "/es/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: "¿Cómo instalo ClickHouse en 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: "/es/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: "/es/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: "¿Cómo resuelvo los fallos de ingesta tras la versión 23.9 de ClickHouse?", 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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "Cómo verificar el estado de tu servicio de 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: "/es/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: "Cómo recopilar y representar una traza de consulta", description: "Esta guía muestra cómo recopilar y visualizar trazas de consultas en ClickHouse autogestionado mediante métodos integrados o usando Grafana. Resulta especialmente útil cuando se trabaja con consultas complejas y se necesita comprender la mecánica de ejecución interna más allá de lo que ofrece EXPLAIN.", href: "/es/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: "Cómo configurar ajustes para un usuario en ClickHouse", description: "Aprenda a definir ajustes en ClickHouse para consultas individuales, sesiones de cliente o usuarios específicos mediante los comandos `SET` y `ALTER USER`.", href: "/es/resources/support-center/knowledge-base/configuration-settings/configure-a-user-setting", category: "Configuration & settings", tags: ["Settings"] }, { id: "materialized-views/projection-example", title: "¿Cómo confirmar si una Proyección es utilizada por la consulta?", description: "Aprenda a verificar si una proyección se utiliza en consultas de ClickHouse probando con datos de muestra y usando EXPLAIN para confirmar el uso de la proyección.", href: "/es/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: "Cómo conectarse a ClickHouse usando claves SSH", description: "Cómo conectarse a ClickHouse y ClickHouse Cloud usando claves SSH", href: "/es/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: "Cómo crear un diccionario de ClickHouse con claves y valores de tipo cadena", description: "Aprenda a crear un diccionario de ClickHouse usando claves y valores de tipo cadena de una tabla MergeTree como fuente, con ejemplos de configuración y uso.", href: "/es/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: "Cómo crear una tabla que pueda consultar múltiples clústeres remotos", description: "Cómo crear una tabla que pueda consultar múltiples clústeres remotos", href: "/es/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: "Cómo habilitar SSL con Let's Encrypt en un único servidor ClickHouse", description: "Aprenda a configurar SSL para un único servidor ClickHouse usando Let's Encrypt, incluyendo la emisión de certificados, la configuración y la validación.", href: "/es/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: "Cómo exportar datos de ClickHouse a un archivo", description: "Aprenda varios métodos para exportar datos de ClickHouse, incluyendo `INTO OUTFILE`, el motor de tabla File y la redirección por línea de comandos.", href: "/es/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: "¿Cómo filtrar una tabla de ClickHouse por una columna de tipo array?", description: "Artículo de la base de conocimientos sobre cómo filtrar una tabla de ClickHouse por una columna de tipo array.", href: "/es/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: "Cómo generar un archivo HAR para soporte", description: "Un archivo HAR (HTTP Archive) captura la actividad de red en su navegador. Puede ayudar a nuestro equipo de soporte a diagnosticar cargas de página lentas, solicitudes fallidas u otros problemas de red.", href: "/es/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: "Cómo identificar consultas que usan Vistas Materializadas en ClickHouse", description: "Aprenda a consultar los registros de ClickHouse para identificar todas las consultas que involucran Vistas Materializadas dentro de un rango de tiempo especificado.", href: "/es/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: "Cómo identificar las consultas más costosas en ClickHouse", description: "Aprenda a usar la tabla `query_log` en ClickHouse para identificar las consultas que más memoria y CPU consumen en los nodos distribuidos.", href: "/es/resources/support-center/knowledge-base/performance-optimization/find-expensive-queries", category: "Performance & optimization", tags: ["Performance and Optimizations"] }, { id: "configuration-settings/ignoring-incorrect-settings", title: "Cómo ignorar ajustes incorrectos en ClickHouse", description: "Aprenda a usar la opción `skip_check_for_incorrect_settings` para permitir que ClickHouse se inicie incluso cuando los ajustes a nivel de usuario están especificados incorrectamente.", href: "/es/resources/support-center/knowledge-base/configuration-settings/ignoring-incorrect-settings", category: "Configuration & settings", tags: ["Settings"] }, { id: "data-import-export/json-import", title: "¿Cómo importar JSON en ClickHouse?", description: "Esta página muestra cómo importar JSON en ClickHouse", href: "/es/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: "Cómo aumentar el número de hilos en ClickHouse", description: "Aprenda a configurar el grupo de hilos global en ClickHouse ajustando parámetros como `max_thread_pool_size`, `thread_pool_queue_size` y `max_thread_pool_free_size`.", href: "/es/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: "Cómo ingestar datos de Kafka en ClickHouse", description: "Aprenda a ingestar datos de un tema de Kafka en ClickHouse usando el motor de tabla Kafka, vistas materializadas y tablas MergeTree.", href: "/es/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: "Cómo ingestar archivos Parquet desde un bucket de S3", description: "Aprenda los conceptos básicos del uso del motor de tabla S3 en ClickHouse para ingestar y consultar archivos Parquet desde un bucket de S3, incluyendo configuración, permisos de acceso y ejemplos de importación de datos.", href: "/es/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: "¿Cómo insertar todas las filas de una tabla en otra?", description: "Artículo de la base de conocimientos sobre cómo insertar todas las filas de una tabla en otra.", href: "/es/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: "Cómo medir el tiempo de procesamiento de consultas sin devolver filas", description: "Aprenda a usar la opción `FORMAT Null` en ClickHouse para medir el tiempo de procesamiento de consultas sin devolver ninguna fila al cliente.", href: "/es/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: "Cómo desactivar la recopilación de informes de fallos", description: "Este artículo muestra cómo desactivar la recopilación de informes de fallos en ClickHouse Cloud", href: "/es/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: "/es/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: "/es/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: "Cómo recuperarse de un snapshot de Keeper corrupto", description: "Artículo que describe cómo recuperarse de un snapshot de Keeper corrupto: cómo se manifiesta el problema, qué es un snapshot y dónde encontrarlo, y las posibles estrategias de recuperación.", href: "/es/resources/support-center/knowledge-base/troubleshooting/recovering-from-corrupt-keeper-snapshot", category: "Troubleshooting & errors", tags: ["Troubleshooting"] }, { id: "troubleshooting/restore-replica-after-storage-failure", title: "Cómo restaurar una réplica tras un fallo de almacenamiento", description: "Este artículo explica cómo recuperar datos cuando se usan tablas replicadas en bases de datos atómicas en ClickHouse y los discos o el almacenamiento de una de las réplicas se pierden o dañan.", href: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/resources/support-center/knowledge-base/troubleshooting/connection-timeout-remote-remoteSecure", category: "Troubleshooting & errors", tags: ["Errors and Exceptions"] }, { id: "tables-schema/runbook-json", title: "Runbook: esquema JSON", description: "Elija el enfoque de esquema adecuado para datos JSON en ClickHouse: columnas tipadas, híbrido, JSON nativo o almacenamiento como String", href: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "Tipos de partes y formatos de almacenamiento", description: "Conozca los distintos tipos de partes (Wide vs Compact) y formatos de almacenamiento (Full vs Packed) en ClickHouse, y cómo afectan al rendimiento.", href: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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: "/es/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 || `/es/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
{isOpen &&
{options.map(option => )}
}
; }; return <>
{} {featuredArticles.length > 0 &&

Artículos destacados

{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}
Popular
)}
} {}
{}
{}
{}

Explorar artículos

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

No se encontraron artículos que coincidan con los criterios seleccionados.

Pruebe ajustando los filtros o el término de búsqueda.

}
; }; export const featuredArticles = [{ id: 'cloud-services/aws-privatelink-setup-for-clickpipes' }, { id: 'tables-schema/schema-migration-tools' }, { id: 'data-management/read-consistency' }];
Imagen de fondo decorativa. Imagen de fondo decorativa.