altinity-expert-clickhouse-mutations
Track and diagnose ClickHouse ALTER UPDATE, ALTER DELETE, and other mutation operations. Use for stuck mutations and mutation performance issues.
发现 tools data engineering 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Track and diagnose ClickHouse ALTER UPDATE, ALTER DELETE, and other mutation operations. Use for stuck mutations and mutation performance issues.
Diagnose ClickHouse merge performance, part backlog, and 'too many parts' errors. Use for merge issues and part management problems.
Real-time monitoring of ClickHouse metrics, events, and asynchronous metrics. Use for load average, connections, queue monitoring, and resource saturation.
Analyze ClickHouse system log table health including TTL configuration, disk usage, freshness, and cleanup. Use for system log issues and TTL configuration.
Diagnose ClickHouse RAM usage, OOM errors, memory pressure, and allocation patterns. Use for memory-related issues and out-of-memory errors.
Diagnose ClickHouse disk usage, compression efficiency, part sizes, and storage bottlenecks. Use for disk space issues and slow IO.
Analyze ClickHouse table structure, partitioning, ORDER BY keys, materialized views, and identify schema design anti-patterns. Use for table design issues and optimization.
Analyze ClickHouse external dictionaries including configuration, memory usage, reload status, and performance. Use for dictionary issues and load failures.
Diagnose ClickHouse INSERT performance, batch sizing, part creation patterns, and ingestion bottlenecks. Use for slow inserts and data pipeline issues.
Diagnose ClickHouse SELECT query performance, analyze query patterns, identify slow queries, and find optimization opportunities. Use for query latency and timeout issues.
Detect N+1 queries, analyze slow queries with EXPLAIN, identify missing indexes, and ensure safe online index migrations. Use when optimizing query performance, preventing performance regressions, or debugging...
Use OpenMetadata SDK and APIs to build integrations, connectors, and automations. Use when querying metadata, creating custom properties, building ingestion pipelines, automating governance workflows, or integr...
Foundational SQL patterns for query writing, schema design, and dialect differences. Use when writing SQL queries, designing database schemas, understanding SQL syntax across PostgreSQL/MySQL/SQLite, or prepari...
Develop and troubleshoot Bitbucket Pipelines. Use when creating pipelines, debugging build failures, understanding Bitbucket-specific features like pipes and deployments, or optimizing pipeline performance.
Configure and manage data quality tests, profiling, alerts, and incidents in OpenMetadata. Use when setting up quality tests, configuring profiler workflows, creating observability alerts, or triaging data qual...
Develop custom Bitbucket Pipes for reusable CI/CD components. Use when creating pipes for organization-wide use, building Docker-based automation steps, packaging pipes for the Atlassian Marketplace, or designi...
Supabase database operations including queries, CRUD operations, RLS policies, and PostgreSQL functions. Use when querying tables, managing data, implementing RLS, or writing database functions.
Comprehensive analysis operations for code, skills, processes, data, and patterns. Task-based operations with pattern recognition, metrics calculation, trend identification, and actionable insights generation....
CLI for Snowflake. Query data, manage warehouses, databases, schemas, tables, and stages. Use when working with Snowflake data platform.
GraphDB構築エージェント - ユビキタス言語とコード解析結果からRyuGraphデータベースを構築。/build-graph [対象パス] で呼び出し。
ScalarDB Analytics設計エージェント - ScalarDB Analyticsを使用した分析基盤の設計。Apache Sparkベースの分析クエリ、マルチDB横断分析を策定。/design-scalardb-analytics [対象パス] で呼び出し。
ScalarDB Cluster および ScalarDB Analytics のアーキテクチャ、サイジング、構成を見積もるスキル。 性能要件、可用性要件、クラウド環境からScalarDB Cluster Pod数、Kubernetes構成、 バックエンドDB、API Gateway、監視シ...
ScalarDB設計エージェント - ScalarDB Clusterを使用したマイクロサービスのデータアーキテクチャ設計。分散トランザクション、スキーマ設計、ポリグロット永続化を策定。/design-scalardb [対象パス] で呼び出し。
Analyzes and optimizes SQL/NoSQL queries for performance. Use when reviewing query performance, optimizing slow queries, analyzing EXPLAIN output, suggesting indexes, identifying N+1 problems, recommending quer...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。