> ## 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. # サポートセンター > ClickHouse ナレッジベースを閲覧・検索 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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "MSKクラスター向けAWS PrivateLink VPCエンドポイントサービス", description: "AWS PrivateLink VPCエンドポイントサービスを通じて、MSKクラスターをClickPipesに公開するためのセットアップ手順。", href: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "一般的なRBACクエリ", description: "ユーザーに特定の権限を付与するためのクエリ。", href: "/ja/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: "クエリ間のメトリクスをデシベルで比較する", description: "ClickHouseで2つのクエリ間のメトリクスを比較するクエリ。", href: "/ja/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: "DockerでのCAP_IPC_LOCKおよびCAP_SYS_NICE機能の設定", description: "コンテナでClickHouseを実行する際の`CAP_IPC_LOCK`および`CAP_SYS_NICE`に関するDockerの機能警告を解決する方法。", href: "/ja/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: "DockerでのCAP_IPC_LOCKおよびCAP_SYS_NICE機能の設定", description: "コンテナでClickHouseを実行する際の`CAP_IPC_LOCK`および`CAP_SYS_NICE`に関するDockerの機能警告を解決する方法。", href: "/ja/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: "ClickPipes向けConfluent Cloudプライベート接続", description: "AWS PrivateLink またはGCP Private Service Connectを経由して、ClickPipesを既存のConfluent Cloud Kafkaクラスターに接続する方法。", href: "/ja/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: "リバースプロキシを設定してカスタムDNSエイリアスを作成する", description: "リバースプロキシを使用してインスタンスのカスタムDNSエイリアスを設定する方法。", href: "/ja/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: "この記事では、ClickHouseにおけるパートの交差に関連するDB::Exceptionエラーの解決方法を説明します。このエラーは、競合状態またはZooKeeperデータへの手動介入によって引き起こされることが多いです。", href: "/ja/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: "公式ビルドとサードパーティClickHouseビルドの違い", description: "アップデート、互換性、セキュリティの考慮事項を含む、公式ClickHouseビルドとサードパーティビルドの主な違いを理解する。", href: "/ja/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: "ClickHouseにはコストベースのオプティマイザがありますか", description: "ClickHouseには特定のコストベースの最適化メカニズムがあります", href: "/ja/resources/support-center/knowledge-base/general-faqs/cost-based", category: "General & FAQs", tags: [] }, { id: "general-faqs/datalake", title: "ClickHouseはデータレイクをサポートしていますか？", description: "ClickHouseはIceberg、Delta Lake、Apache Hudi、Apache Paimon、Hiveを含むデータレイクをサポートしています", href: "/ja/resources/support-center/knowledge-base/general-faqs/datalake", category: "General & FAQs", tags: [] }, { id: "general-faqs/distributed-join", title: "ClickHouseは分散JOINをサポートしていますか？", description: "ClickHouseは分散JOINをサポートしています", href: "/ja/resources/support-center/knowledge-base/general-faqs/distributed-join", category: "General & FAQs", tags: [] }, { id: "general-faqs/federated", title: "ClickHouseはフェデレーテッドクエリをサポートしていますか？", description: "ClickHouseはフェデレーテッドおよびハイブリッドクエリの幅広い範囲をサポートしています", href: "/ja/resources/support-center/knowledge-base/general-faqs/federated", category: "General & FAQs", tags: [] }, { id: "general-faqs/concurrency", title: "ClickHouseは頻繁な同時クエリをサポートしていますか？", description: "ClickHouseは高QPSと高並行性をサポートしています", href: "/ja/resources/support-center/knowledge-base/general-faqs/concurrency", category: "General & FAQs", tags: [] }, { id: "cloud-services/multi-region-replication", title: "ClickHouseはマルチリージョンレプリケーションをサポートしていますか？", description: "このページではClickHouseがマルチリージョンレプリケーションをサポートしているかどうかを説明します", href: "/ja/resources/support-center/knowledge-base/cloud-services/multi-region-replication", category: "Cloud", tags: [] }, { id: "general-faqs/updates", title: "ClickHouseはリアルタイム更新をサポートしていますか？", description: "ClickHouseは軽量なリアルタイム更新をサポートしています", href: "/ja/resources/support-center/knowledge-base/general-faqs/updates", category: "General & FAQs", tags: [] }, { id: "security/row-column-policy", title: "ClickHouseは行レベルおよび列レベルのセキュリティをサポートしていますか？", description: "ClickHouseおよびClickHouse Cloudにおける行レベルおよび列レベルのアクセス制限と、ポリシーを使用したロールベースのアクセス制御（RBAC）の実装方法について説明します。", href: "/ja/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: "ClickHouse CloudのすべてのノードでSYSTEMステートメントを実行する", description: "`ON CLUSTER`および`clusterAllReplicas`を使用して、ClickHouse CloudサービスのすべてのノードでSYSTEMステートメントとクエリを実行する方法。", href: "/ja/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: "ワイドまたはコンパクトパーツの数とサイズを確認する", description: "このナレッジベース記事では、パーツの種類（ワイドまたはコンパクト）ごとにパーツ数を確認する方法を説明します。", href: "/ja/resources/support-center/knowledge-base/troubleshooting/count-parts-by-type", category: "Troubleshooting & errors", tags: ["Troubleshooting"] }, { id: "troubleshooting/fix-developer-verification-error-in-macos", title: "macOSの開発者検証エラーを修正する", description: "システム設定またはターミナルを使用して、ClickHouseコマンドの実行時に発生するmacOSの開発者検証エラーを解決する方法。", href: "/ja/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: "S3で年月ごとにパーティション分割された書き込みを行うにはどうすればよいですか？", description: "カスタムパス構造を使用して、ClickHouseでS3バケットに年月ごとにパーティション分割されたデータを書き込む方法。", href: "/ja/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: "KafkaでJSONデータ型を使用するには？", 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: "/ja/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: "ClickHouse Cloudの請求先連絡先を変更するには？", description: "Let's learn how to change your billing address in ClickHouse Cloud.", href: "/ja/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: "/ja/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: "ParquetファイルをCSVまたはJSONに変換するには？", description: "Learn how to use ClickHouse's `clickhouse-local` tool to easily convert Parquet files to CSV or JSON formats.", href: "/ja/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: "ClickHouseを使用してMySQLデータをParquet、CSV、またはJSONにエクスポートするには？", description: "Learn how to use the `clickhouse-local` tool to export MySQL data into formats like Parquet, CSV, or JSON quickly and efficiently.", href: "/ja/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: "/ja/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: "Windows 10にClickHouseをインストールするには？", description: "Learn how to install and test ClickHouse on Windows 10 using WSL 2. Includes setup, troubleshooting, and running a test environment.", href: "/ja/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: "/ja/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: "ClickHouse 23.9リリース後の取り込みエラーを解決するには？", 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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "ClickHouse Cloudサービスの状態を確認するには", description: "Learn how to use the ClickHouse Cloud API to check if your service is stopped, idle, or running without waking it up.", href: "/ja/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: "クエリトレースを収集して描画する方法", description: "このガイドでは、組み込みの方法またはGrafanaを使用して、セルフマネージドのClickHouseでクエリトレースを収集・描画する方法を説明します。これは、複雑なクエリを扱う際に、EXPLAINが提供する情報を超えた内部実行メカニズムを理解する必要がある場合に特に役立ちます。", href: "/ja/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: "ClickHouseでユーザーの設定を構成する方法", description: "`SET`および`ALTER USER`コマンドを使用して、個々のクエリ、クライアントセッション、または特定のユーザーに対してClickHouseの設定を定義する方法を学びます。", href: "/ja/resources/support-center/knowledge-base/configuration-settings/configure-a-user-setting", category: "Configuration & settings", tags: ["Settings"] }, { id: "materialized-views/projection-example", title: "クエリでプロジェクションが使用されているか確認する方法", description: "サンプルデータでテストし、EXPLAINを使用してプロジェクションの使用を確認することで、ClickHouseクエリでプロジェクションが使用されているかどうかを確認する方法を学びます。", href: "/ja/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: "SSHキーを使用してClickHouseに接続する方法", description: "SSHキーを使用してClickHouseおよびClickHouse Cloudに接続する方法", href: "/ja/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: "文字列キーと値を使用したClickHouseディクショナリの作成方法", description: "MergeTreeテーブルをソースとして文字列キーと値を使用したClickHouseディクショナリの作成方法を、セットアップと使用例とともに学びます。", href: "/ja/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: "複数のリモートクラスターをクエリできるテーブルの作成方法", description: "複数のリモートクラスターをクエリできるテーブルの作成方法", href: "/ja/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: "単一のClickHouseサーバーでLet's EncryptによるSSLを有効にする方法", description: "証明書の発行、設定、検証を含む、Let's Encryptを使用した単一ClickHouseサーバーのSSLセットアップ方法を学びます。", href: "/ja/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: "ClickHouseからファイルにデータをエクスポートする方法", description: "`INTO OUTFILE`、Fileテーブルエンジン、コマンドラインリダイレクトなど、ClickHouseからデータをエクスポートするさまざまな方法を学びます。", href: "/ja/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: "配列カラムでClickHouseテーブルをフィルタリングする方法", description: "配列カラムでClickHouseテーブルをフィルタリングする方法に関するナレッジベース記事。", href: "/ja/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: "サポート用HARファイルの生成方法", description: "HAR（HTTPアーカイブ）ファイルはブラウザのネットワークアクティビティをキャプチャします。ページの読み込みが遅い、リクエストが失敗する、その他のネットワーク問題の診断にサポートチームが役立てることができます。", href: "/ja/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: "ClickHouseでマテリアライズドビューを使用するクエリを特定する方法", description: "指定した時間範囲内でマテリアライズドビューに関連するすべてのクエリを特定するために、ClickHouseログをクエリする方法を学びます。", href: "/ja/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: "ClickHouseで最もコストの高いクエリを特定する方法", description: "ClickHouseの`query_log`テーブルを使用して、分散ノード全体で最もメモリとCPUを消費するクエリを特定する方法を学びます。", href: "/ja/resources/support-center/knowledge-base/performance-optimization/find-expensive-queries", category: "Performance & optimization", tags: ["Performance and Optimizations"] }, { id: "configuration-settings/ignoring-incorrect-settings", title: "ClickHouseで不正な設定を無視する方法", description: "ユーザーレベルの設定が誤って指定されている場合でもClickHouseを起動できるようにする`skip_check_for_incorrect_settings`オプションの使用方法を学びます。", href: "/ja/resources/support-center/knowledge-base/configuration-settings/ignoring-incorrect-settings", category: "Configuration & settings", tags: ["Settings"] }, { id: "data-import-export/json-import", title: "ClickHouseにJSONをインポートする方法", description: "このページでは、ClickHouseにJSONをインポートする方法を説明します。", href: "/ja/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: "ClickHouseのスレッド数を増やす方法", description: "`max_thread_pool_size`、`thread_pool_queue_size`、`max_thread_pool_free_size`などの設定を調整して、ClickHouseのグローバルスレッドプールを設定する方法を学びます。", href: "/ja/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: "KafkaからClickHouseにデータを取り込む方法", description: "Kafkaテーブルエンジン、マテリアライズドビュー、MergeTreeテーブルを使用して、KafkaトピックからClickHouseにデータを取り込む方法を学びます。", href: "/ja/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: "S3バケットからParquetファイルを取り込む方法", description: "セットアップ、アクセス権限、データインポート例を含む、S3バケットからParquetファイルを取り込みクエリするためのClickHouseのS3テーブルエンジンの基本を学びます。", href: "/ja/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: "あるテーブルから別のテーブルにすべての行を挿入する方法", description: "あるテーブルから別のテーブルにすべての行を挿入する方法に関するナレッジベース記事。", href: "/ja/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: "行を返さずにクエリ処理時間を測定する方法", description: "クライアントに行を返さずにクエリ処理時間を測定するために、ClickHouseの`FORMAT Null`オプションを使用する方法を学びます。", href: "/ja/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: "クラッシュレポート収集をオプトアウトする方法", description: "この記事では、ClickHouse Cloudでクラッシュレポートの収集をオプトアウトする方法を説明します", href: "/ja/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: "/ja/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: "/ja/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: "破損したKeeperスナップショットから復旧する方法", description: "破損したKeeperスナップショットからの復旧方法を説明する記事：問題の症状、スナップショットとは何か・どこにあるか、および復旧戦略について。", href: "/ja/resources/support-center/knowledge-base/troubleshooting/recovering-from-corrupt-keeper-snapshot", category: "Troubleshooting & errors", tags: ["Troubleshooting"] }, { id: "troubleshooting/restore-replica-after-storage-failure", title: "ストレージ障害後にレプリカを復元する方法", description: "この記事では、ClickHouseのアトミックデータベースでレプリケートテーブルを使用している際に、レプリカの1つのディスク/ストレージが失われた・破損した場合のデータ復旧方法を説明します。", href: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/resources/support-center/knowledge-base/troubleshooting/connection-timeout-remote-remoteSecure", category: "Troubleshooting & errors", tags: ["Errors and Exceptions"] }, { id: "tables-schema/runbook-json", title: "Runbook: JSONスキーマ", description: "ClickHouse の JSON データに適したスキーマアプローチを選択する — 型付きカラム、ハイブリッド、ネイティブ JSON、または String ストレージ", href: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "パートタイプとストレージフォーマットについて", description: "ClickHouseにおける各種パートタイプ（Wide vs Compact）およびストレージフォーマット（Full vs Packed）と、それらがパフォーマンスに与える影響について説明します。", href: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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: "/ja/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 || `/ja/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 &&

注目の記事

{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}
人気
)}
} {}
{}
{}
{}

記事を探す

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

条件に一致する記事が見つかりませんでした。

フィルターや検索キーワードを変更してみてください。

}
; }; export const featuredArticles = [{ id: 'cloud-services/aws-privatelink-setup-for-clickpipes' }, { id: 'tables-schema/schema-migration-tools' }, { id: 'data-management/read-consistency' }];
装飾用の背景画像。 装飾用の背景画像。