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tiansuyu

@tiansuyu source repo

9 published skills

  1. Starrocks Monitoring · tiansuyu
    Monitor and maintain a StarRocks cluster — health/metrics (backends, processlist, killing queries), compaction management, tablet repair/rebalancing, routine maintenance schedules, statistics collection for CBO, and troubleshooting commands. Use when checking StarRocks cluster health, diagnosing compaction or tablet issues, killing runaway queries, collecting statistics, or planning routine maintenance.
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  2. Starrocks Data Loading · tiansuyu
    Load data into StarRocks using Stream Load (HTTP/real-time), Broker Load (batch from S3/HDFS), Routine Load (Kafka continuous), and INSERT INTO. Use when ingesting data into StarRocks, building load pipelines, mapping/transforming columns on load, checking load status, or troubleshooting data load failures.
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  3. Starrocks Table Design · tiansuyu
    Design StarRocks tables — choosing table types (Duplicate/Aggregate/Unique/Primary Key), partitioning with date_trunc() expressions, bucketing/distribution, and indexes (prefix, bloom filter, bitmap, ngram). Use when creating or modifying StarRocks table schemas, choosing a key model, setting partition granularity, sizing buckets, or selecting indexes.
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  4. Starrocks Cluster Setup · tiansuyu
    Set up and manage StarRocks cluster topology — Frontend (FE), Backend (BE), and Broker roles, fe.conf/be.conf configuration, adding/removing/decommissioning nodes, and checking cluster status. Use when deploying or scaling a StarRocks cluster, configuring FE/BE nodes, adding followers/observers, or checking cluster health.
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  5. Starrocks Etl And Tasks · tiansuyu
    Build StarRocks ETL pipelines and async/scheduled tasks — daily batch loads, incremental load with deduplication, real-time aggregation pipelines, SCD Type 2, and SUBMIT TASK for background/scheduled INSERT/CTAS execution with monitoring. Use when designing StarRocks ETL workflows, running long INSERT...SELECT in the background, scheduling recurring transformations, or backfilling data.
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  6. Starrocks Backup Recovery · tiansuyu
    Back up and restore StarRocks data — create a backup repository (S3 via broker), take full snapshots of tables/databases, check backup status, and restore from a snapshot. Use when setting up StarRocks backups, snapshotting tables before risky changes, configuring a backup repository, or recovering data from a snapshot.
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  7. Starrocks Materialized Views · tiansuyu
    Create and manage StarRocks materialized views — synchronous rollups (auto-maintained), asynchronous MVs (scheduled refresh, joins, partitioned), transparent query rewrite, and MV refresh/management. Use when pre-aggregating data in StarRocks, speeding up repeated aggregations or joins, setting up scheduled MV refresh, or enabling automatic query rewrite.
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  8. Starrocks Query Optimization · tiansuyu
    Optimize StarRocks queries — reading EXPLAIN/EXPLAIN VERBOSE, verifying partition pruning, choosing JOIN strategy (broadcast/shuffle/colocate), predicate pushdown, parallelism (pipeline_dop), index usage, and diagnosing slow queries via query profiles. Use when a StarRocks query is slow, when analyzing execution plans, or when tuning JOINs, pruning, or parallelism.
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  9. Starrocks Resource Management · tiansuyu
    Manage StarRocks resources — session-level controls (query timeout, memory limit, parallelism, disk spill), resource groups for workload isolation (ETL vs dashboards), and storage volumes for remote/tiered storage. Use when isolating workloads, capping query memory/CPU, controlling parallelism, configuring resource groups, or setting up S3-backed storage volumes.
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