MySQL是一種常用的關系型數據庫管理系統，但是在使用 MySQL 進行數據處理時，可能會遇到運行速度緩慢的情況，這時候需要查看 CPU 使用高的 SQL 語句進行問題排查。

首先，可以通過 MySQL 自帶的 Performance Schema 模塊進行 CPU 使用率監控。使用以下 SQL 語句來查詢其結果：

SELECT 
events.statement, 
statements.total_latency, 
statements.memory_tmp_tables
FROM performance_schema.events_statements_summary_by_digest AS digest
JOIN performance_schema.events_statements_summary_by_thread_by_event_name AS events 
ON digest.digest = events.digest
JOIN performance_schema.events_statements_summary_by_account_by_event_name AS users 
ON users.event_name = events.event_name 
AND users.thread_id = events.thread_id
JOIN performance_schema.events_statements_summary_by_user_by_event_name AS accounts 
ON accounts.event_name = events.event_name 
AND accounts.user = users.user
JOIN performance_schema.events_statements_summary_by_host_by_event_name AS hosts 
ON hosts.event_name = events.event_name 
AND hosts.thread_id = events.thread_id
JOIN performance_schema.events_statements_summary_by_program_by_event_name AS programs 
ON programs.event_name = events.event_name 
AND programs.thread_id = events.thread_id
JOIN performance_schema.events_statements_summary_global_by_event_name AS statements 
ON statements.event_name = events.event_name
WHERE digest.digest_text NOT LIKE '%$%'
ORDER BY statements.total_latency DESC
LIMIT 10;

該 SQL 語句將返回運行最慢的前十個 SQL 語句，并列出這些語句的總延遲時間和內存中臨時表的數量。通過分析這些數據，可以找出 CPU 使用率較高的 SQL 語句來進行優化。