82 lines
2.6 KiB
SQL
82 lines
2.6 KiB
SQL
-- ============================================================================
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-- 数据库脚本验证查询
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-- 用于验证 mysql_emotion_museum_final.sql 执行后的表结构
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-- ============================================================================
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-- 验证数据库是否存在
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SELECT SCHEMA_NAME FROM INFORMATION_SCHEMA.SCHEMATA WHERE SCHEMA_NAME = 'emotion_museum';
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-- 验证所有表是否创建成功
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SELECT TABLE_NAME, TABLE_COMMENT
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FROM INFORMATION_SCHEMA.TABLES
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WHERE TABLE_SCHEMA = 'emotion_museum'
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ORDER BY TABLE_NAME;
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-- 验证conversation表的字段结构（重点验证新增字段）
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SELECT
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COLUMN_NAME,
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DATA_TYPE,
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IS_NULLABLE,
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COLUMN_DEFAULT,
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COLUMN_COMMENT
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FROM INFORMATION_SCHEMA.COLUMNS
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WHERE TABLE_SCHEMA = 'emotion_museum'
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AND TABLE_NAME = 'conversation'
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ORDER BY ORDINAL_POSITION;
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-- 验证conversation表的索引
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SELECT
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INDEX_NAME,
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COLUMN_NAME,
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NON_UNIQUE
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FROM INFORMATION_SCHEMA.STATISTICS
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WHERE TABLE_SCHEMA = 'emotion_museum'
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AND TABLE_NAME = 'conversation'
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ORDER BY INDEX_NAME, SEQ_IN_INDEX;
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-- 验证新增字段是否存在
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SELECT
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CASE
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WHEN COUNT(*) = 9 THEN '✅ 所有新增字段都存在'
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ELSE CONCAT('❌ 缺少字段，只找到 ', COUNT(*), ' 个，应该是 9 个')
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END AS validation_result
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FROM INFORMATION_SCHEMA.COLUMNS
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WHERE TABLE_SCHEMA = 'emotion_museum'
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AND TABLE_NAME = 'conversation'
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AND COLUMN_NAME IN (
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'user_type', 'emotion_trend', 'keywords', 'ai_insights',
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'confidence', 'client_ip', 'user_agent', 'summary', 'tags'
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);
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-- 验证新增索引是否存在
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SELECT
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CASE
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WHEN COUNT(*) = 4 THEN '✅ 所有新增索引都存在'
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ELSE CONCAT('❌ 缺少索引，只找到 ', COUNT(*), ' 个，应该是 4 个')
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END AS index_validation_result
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FROM INFORMATION_SCHEMA.STATISTICS
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WHERE TABLE_SCHEMA = 'emotion_museum'
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AND TABLE_NAME = 'conversation'
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AND INDEX_NAME IN (
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'idx_conversation_user_type',
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'idx_conversation_emotion_trend',
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'idx_conversation_confidence',
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'idx_conversation_client_ip'
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);
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-- 统计总表数
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SELECT
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CASE
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WHEN COUNT(*) = 15 THEN '✅ 所有15个表都创建成功'
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ELSE CONCAT('❌ 表数量不正确，只有 ', COUNT(*), ' 个表，应该是 15 个')
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END AS table_count_result
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FROM INFORMATION_SCHEMA.TABLES
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WHERE TABLE_SCHEMA = 'emotion_museum';
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-- 统计总索引数（conversation表）
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SELECT
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CONCAT('conversation表共有 ', COUNT(DISTINCT INDEX_NAME), ' 个索引') AS conversation_index_count
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FROM INFORMATION_SCHEMA.STATISTICS
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WHERE TABLE_SCHEMA = 'emotion_museum'
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AND TABLE_NAME = 'conversation';
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