altinity-expert-clickhouse-reporting（Altinity 专家 CLIckhouse 报告）

Query Performance Analysis

Diagnose SELECT query performance issues, analyze query patterns, and identify optimization opportunities.

Diagnostics

Run all queries from the file checks.sql and analyze the results.

Query Optimization Hints

Index Usage Check

-- Check if data skipping indices exist
select
    database,
    table,
    name as index_name,
    type,
    expr,
    granularity
from system.data_skipping_indices
where database = '{database}' and table = '{table}'

Mark Count for Query

For a specific slow query, check how many marks (granules) were read:

select
    query_id,
    read_rows,
    selected_marks,
    selected_parts,
    formatReadableSize(read_bytes) as read_bytes,
    round(read_rows / nullIf(selected_marks, 0)) as rows_per_mark
from system.query_log
where query_id = '{query_id}'
  and type = 'QueryFinish'

High selected_marks relative to result = index not selective enough.

Ad-Hoc Query Guidelines

Required Safeguards

-- Always time-bound
where event_date >= today() - 1
-- or
where event_time > now() - interval 1 hour

-- Always limit
limit 100

-- Filter by type
where type = 'QueryFinish'  -- completed
where type like 'Exception%'  -- failed

Useful Filters

-- By user
where user = 'analytics_user'

-- By query pattern
where query ilike '%SELECT%FROM my_table%'

-- By duration threshold
where query_duration_ms > 10000  -- > 10 seconds

-- By normalized hash (for specific query pattern)
where normalized_query_hash = 1234567890

Cross-Module Triggers

Settings Reference