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skill_tree_mysql
提交 8a515490 编写于 作者: M Mars Liu
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data/2.MySQL中阶/3.聚合和分组/3.最小值/min.md
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...@@ -43,5 +43,5 @@ select dept, min(salary) from employee; ...@@ -43,5 +43,5 @@ select dept, min(salary) from employee;
### D ### D
```mysql ```mysql
select sum(total) from orders having deal and unit_price > 1000; select dept, min(total) from employee;
``` ```
\ No newline at end of file
data/2.MySQL中阶/3.聚合和分组/5. 平均值/avg.json 0 → 100644
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{
"type": "code_options",
"author": "ccat",
"source": "avg.md",
"notebook_enable": false,
"exercise_id": "c6ff6b73f6844327b71b6b0630fedcaa"
}
\ No newline at end of file
data/2.MySQL中阶/3.聚合和分组/5. 平均值/avg.md 0 → 100644
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# 平均值练习
Joe 想要得到 employee 表
```mysql
create table employee
(
id serial primary key,
name varchar(256),
dept varchar(256),
salary decimal(12, 4)
);
```
中每个部门的平均工资信息，这条查询应该怎么写？
## 答案
```mysql
select dept, avg(salary) from employee group by dept;
```
## 选项
### A
```mysql
select dept, avg(salary) from employee;
```
### B
```mysql
select dept, avg(salary) from employee;
```
### C
```mysql
select dept, avg(salary) from employee;
```
### D
```mysql
select dept, avg(salary) from employee ;
```
\ No newline at end of file
data/2.MySQL中阶/3.聚合和分组/5. 平均值/config.json
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...@@ -2,11 +2,10 @@ ...@@ -2,11 +2,10 @@
"node_id": "mysql-11462fccf9d24d17a372d5c60af90f54", "node_id": "mysql-11462fccf9d24d17a372d5c60af90f54",
"keywords": [], "keywords": [],
"children": [], "children": [],
"export": [], "export": [
"keywords_must": [ "avg.json"
["mysql", "平均值"],
["mysql", "avg"]
], ],
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"group": 0 "group": 0
} }
\ No newline at end of file
data/3.MySQL高阶/10.应用程序优化/1.复用数据库连接/config.json 已删除 100644 → 0
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{
"node_id": "mysql-769c096b229842239e2ba2f8d1c768d3",
"keywords": ["连接复用", "连接池"],
"children": [],
"export": [],
"keywords_must": [],
"keywords_forbid": [],
"group": 0
}
\ No newline at end of file
data/3.MySQL高阶/10.应用程序优化/2.减少数据访问/config.json 已删除 100644 → 0
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{
"node_id": "mysql-d7b339f2b2434e3fbd3721b7cd1abc1a",
"keywords": ["performance", "application", "io"],
"children": [],
"export": [],
"keywords_must": [],
"keywords_forbid": [],
"group": 0
}
\ No newline at end of file
data/3.MySQL高阶/10.应用程序优化/3.开启查询缓存/config.json 已删除 100644 → 0
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{
"node_id": "mysql-8973ee6a0cb045b7bcf623b4e5757baa",
"keywords": [],
"children": [],
"export": [],
"keywords_must": [],
"keywords_forbid": [],
"group": 0
}
\ No newline at end of file
data/3.MySQL高阶/10.应用程序优化/4.使用外部缓存/config.json 已删除 100644 → 0
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{
"node_id": "mysql-7f86d4e58a514a44bce09a19595f9cab",
"keywords": [],
"children": [],
"export": [],
"keywords_must": [],
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"group": 0
}
\ No newline at end of file
data/3.MySQL高阶/10.应用程序优化/5.分布式 MySQL 架构/config.json 已删除 100644 → 0
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{
"node_id": "mysql-402ec368b74f4c33b33c812e9f762d3a",
"keywords": [],
"children": [],
"export": [],
"keywords_must": [],
"keywords_forbid": [],
"group": 0
}
\ No newline at end of file
data/3.MySQL高阶/10.应用程序优化/config.json 已删除 100644 → 0
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{
"node_id": "mysql-288d4606c1ae4f49a0ab79212bc0ff2b",
"keywords": [],
"keywords_must": [],
"keywords_forbid": [],
"group": 2
}
\ No newline at end of file
data/3.MySQL高阶/5.设计优化/4.反范式设计/config.json
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...@@ -2,7 +2,9 @@ ...@@ -2,7 +2,9 @@
"node_id": "mysql-3e4c837b471c454c90bfbc32445f2780", "node_id": "mysql-3e4c837b471c454c90bfbc32445f2780",
"keywords": [], "keywords": [],
"children": [], "children": [],
"export": [], "export": [
"slack.json"
],
"keywords_must": [], "keywords_must": [],
"keywords_forbid": [], "keywords_forbid": [],
"group": 0 "group": 0
......
data/3.MySQL高阶/5.设计优化/4.反范式设计/slack.json 0 → 100644
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{
"type": "code_options",
"author": "ccat",
"source": "slack.md",
"notebook_enable": false,
"exercise_id": "d62e33f550494f849f87b62acdcf9d0a"
}
\ No newline at end of file
data/3.MySQL高阶/5.设计优化/4.反范式设计/slack.md 0 → 100644
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# 反范式设计
反范式优化的主要动机和思路是：
1. 通过适当增加冗余字段，减少连接查询的次数和复杂度
2. 对于经常发生的聚合计算，如果对实时正确性要求不高，可以缓存中间结果，减少实时的聚合计算压力
3. 用适度的写冗余，换取读操作的大幅优化
4. 适当的放宽索引，可以优化局限于少数字段的查询性能
## 答案
全部都是
## 选项
### A
全部都不对
### B
```
1, 2, 3
```
### C
```
2, 3, 4
```
### D
```
2, 3
```
### E
```
3, 4
```
\ No newline at end of file
data/3.MySQL高阶/5.设计优化/5.清理重复索引和冗余索引/config.json 已删除 100644 → 0
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{
"node_id": "mysql-06bc5338054a40fc90b24333ee2b9125",
"keywords": [],
"children": [],
"export": [],
"keywords_must": [],
"keywords_forbid": [],
"group": 0
}
\ No newline at end of file
data/3.MySQL高阶/5.设计优化/8.检查数据表/config.json → data/3.MySQL高阶/5.设计优化/7.检查数据表/config.json
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{ {
"node_id": "mysql-fbcc654d6a86452aa349d2ed6003adb6", "node_id": "mysql-fbcc654d6a86452aa349d2ed6003adb6",
"keywords": [], "keywords": ["show profile"],
"children": [], "children": [],
"export": [], "export": [],
"keywords_must": [], "keywords_must": [],
......
data/3.MySQL高阶/8.写优化/1.插入优化/bulk_insert.json 0 → 100644
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{
"type": "code_options",
"author": null,
"source": "bulk_insert.md",
"notebook_enable": false,
"exercise_id": "936ee1ecbd4a4b9aa795fa537e24f659"
}
\ No newline at end of file
data/3.MySQL高阶/8.写优化/1.插入优化/bulk_insert.md 0 → 100644
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# 批量写入
Joe 需要为数据组准备一个离线数据库，这个数据库的数据量很大。
下面这些措施中有哪些可以帮助 Joe 更快的写入这些数据？
1. 使用`ALTER TABLE t_table_name DISABLE KEYS;`禁用索引，完成工作后用`ALTER TABLE t_table_name ENABLE KEYS;`启用索引
2. 使用`SET UNIQUE_CHECKS = 0;`禁用唯一性检查，完成工作后用`SET UNIQUE_CHECKS = 1;`恢复唯一性检查
3. 使用`SET foreign_key_checks = 0;`禁用外键检查，完成工作后`SET foreign_key_checks = 1;`恢复外键检查
4. 使用`insert values(...),(...),(...)...`批量插入数据
5. 使用`LOAD DATA INFILE ‘data_file_path’ INTO TABLE table_name;`批量导入数据
6. 对 InnoDB 表使用 `SET autocommit = 0;` 禁用自动事务，完成工作后用 `SET autocommit = 1;`
## 答案
全部都对
## 选项
### A
```
1, 2, 3, 4, 5
```
### B
```
2, 3, 4, 5
```
### C
```
2, 3, 4, 6
```
### D
```
1, 2, 3, 4
```
### D
```
3, 4, 5, 6
```
### E
```
3, 4
```
\ No newline at end of file
data/3.MySQL高阶/8.写优化/1.插入优化/config.json
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...@@ -2,7 +2,9 @@ ...@@ -2,7 +2,9 @@
"node_id": "mysql-4e93793f51a24f0eb00f7824ecc8929b", "node_id": "mysql-4e93793f51a24f0eb00f7824ecc8929b",
"keywords": [], "keywords": [],
"children": [], "children": [],
"export": [], "export": [
"bulk_insert.json"
],
"keywords_must": [], "keywords_must": [],
"keywords_forbid": [], "keywords_forbid": [],
"group": 0 "group": 0
......
data/3.MySQL高阶/8.写优化/2.删除优化/config.json
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{ {
"node_id": "mysql-ff4222264013437da2214ff77ca92961", "node_id": "mysql-ff4222264013437da2214ff77ca92961",
"keywords": [], "keywords": ["delete", "performance", "优化", "删除"],
"children": [], "children": [],
"export": [], "export": [
"performance_delete.json"
],
"keywords_must": [], "keywords_must": [],
"keywords_forbid": [], "keywords_forbid": [],
"group": 0 "group": 0
......
data/3.MySQL高阶/8.写优化/2.删除优化/performance_delete.json 0 → 100644
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{
"type": "code_options",
"author": null,
"source": "performance_delete.md",
"notebook_enable": false,
"exercise_id": "105bda06ce03418aaad1422b61767cb6"
}
\ No newline at end of file
data/3.MySQL高阶/8.写优化/2.删除优化/performance_delete.md 0 → 100644
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# 快速删除
Joe 需要删除数据分析库中 orders 表的数据，orders按时间分区，因为是分析部门离线使用，不需要考虑并发，下列哪些操作可以更快的删除这些数据？
1. 使用 `truncate from orders`;
2. 可以执行 `ALTER TABLE orders DROP PARTITION partition_name;` 删除指定分区
3. 去掉唯一约束然后 `delete from orders where 1=1`
4. 使用可写游标，一次一万行滚动删除
5. `drop table orders` 删除后重建
## 答案
```
1, 2, 5
```
## 选项
### A
全部选项都可以
### B
```
1, 2, 3, 4
```
### C
```
3, 4
```
### D
```
2, 3
```
### E
```
2, 3， 4
```
\ No newline at end of file
data/3.MySQL高阶/9.服务器优化/1.硬件配置/config.json 已删除 100644 → 0
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{
"node_id": "mysql-f2a76883814745b9979541ed4117754f",
"keywords": [],
"children": [],
"export": [],
"keywords_must": [],
"keywords_forbid": [],
"group": 0
}
\ No newline at end of file
data/3.MySQL高阶/9.服务器优化/3.配置项优化/config.json → data/3.MySQL高阶/9.服务器优化/1.配置项优化/config.json
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...@@ -2,7 +2,9 @@ ...@@ -2,7 +2,9 @@
"node_id": "mysql-6d4f4d7aecfb4546a8163256859562e1", "node_id": "mysql-6d4f4d7aecfb4546a8163256859562e1",
"keywords": [], "keywords": [],
"children": [], "children": [],
"export": [], "export": [
"configuration.json"
],
"keywords_must": [], "keywords_must": [],
"keywords_forbid": [], "keywords_forbid": [],
"group": 0 "group": 0
......
data/3.MySQL高阶/9.服务器优化/1.配置项优化/configuration.json 0 → 100644
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{
"type": "code_options",
"author": null,
"source": "configuration.md",
"notebook_enable": false,
"exercise_id": "b90270843de54822a1556cb47ca49394"
}
\ No newline at end of file
data/3.MySQL高阶/9.服务器优化/1.配置项优化/configuration.md 0 → 100644
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# 配置项优化
Joe 要帮助开发部优化交易数据库的性能，下面哪些优化是可能有帮助的？
1. 适当增大MySQL的最大连接数 max_connections， 提高并发响应能力。
2. 适当增大 table_cache，提高同时打开表的个数。此参数需根据业务需要有节制的上调
3. 适当增大 table_open_cache，提高数据表的缓存数量。
4. 适当调整 innodb_buffer_pool_size：此配置项决定着InnoDB存储引擎的数据表的数据和索引数据的最大缓冲区大小。一般可以分配80%的物理内存。
5. 适当增加 innodb_log_buffer_size，减少频繁的日志写操作。
6. 如果存在较多的排序操作，调整 sort_buffer_size：排序缓冲区的大小。
7. read_buffer_size：数据表的读缓冲区。适当增加此配置项的值，能够提高MySQL的并发读能力。
8. back_log：如果MySQL服务器需要在短时间内处理大量的连接请求，则可以适当增大此配置项的值。
9. thread_cache_size：MySQL缓存的数据库服务线程的最大线程数。当有大量客户端连接MySQL时，可以适当增大此配置项的值。
10. innodb_lock_wait_timeout：InnoDB存储引擎等待行锁的时间，默认值为50ms。对于实时要求高的应用，可以将此配置项的值适当调小。
## 答案
全部都是
## 选项
### A
```
1, 2, 3, 4, 5
```
### B
```
1, 2, 3, 4, 5, 6, 7, 8
```
### C
```
1, 2, 3, 4, 5, 6, 7, 8
```
### D
```
4, 5, 6, 7, 8
```
data/3.MySQL高阶/9.服务器优化/4.performance_schema/config.json → data/3.MySQL高阶/9.服务器优化/2.performance_schema/config.json
浏览文件 @ 8a515490
{ {
"node_id": "mysql-36d638345c1949f7bb032baf8d9f996e", "node_id": "mysql-36d638345c1949f7bb032baf8d9f996e",
"keywords": [], "keywords": [
"performance",
"performance schema",
"优化"
],
"children": [], "children": [],
"export": [], "export": [
"performance_schema.json"
],
"keywords_must": [], "keywords_must": [],
"keywords_forbid": [], "keywords_forbid": [],
"group": 0 "group": 0
......
data/3.MySQL高阶/9.服务器优化/2.performance_schema/performance_schema.json 0 → 100644
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{
"type": "code_options",
"author": null,
"source": "performance_delete.md",
"notebook_enable": false,
"exercise_id": "cea8e3db523b4f1fb9a502e1d9c27d7b"
}
\ No newline at end of file
data/3.MySQL高阶/9.服务器优化/2.performance_schema/performance_schema.md 0 → 100644
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# # Performance Schema
Joe 为交易库开启了 Performance Schema 配置。那么对于交易数据库的优化，哪些是他应该关注的？
1. 从 `performance_schema.events_waits_current` 活跃线程的执行操作
2. 从 `performance_schema.file_summary_by_event_name` 获取被频繁使用的文件，特别是经常需要等待的文件
3. 从 `performance.events_statements_summary_by_diges` 获取 MySQL 的统计信息
## 答案
所有都是。
## 选项
### A
所有都不是，performance_schema 中不包含这些信息，它们来自 Sys 数据库。
### B
```
1, 2
```
### C
```
2, 3
```
\ No newline at end of file
data/3.MySQL高阶/9.服务器优化/2.系统内核/config.json 已删除 100644 → 0
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{
"node_id": "mysql-4a1bb52626b04dabac78af8eafea868e",
"keywords": [],
"children": [],
"export": [],
"keywords_must": [],
"keywords_forbid": [],
"group": 0
}
\ No newline at end of file
data/3.MySQL高阶/9.服务器优化/5.sys数据库/config.json → data/3.MySQL高阶/9.服务器优化/3.sys数据库/config.json
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...@@ -2,7 +2,9 @@ ...@@ -2,7 +2,9 @@
"node_id": "mysql-3d5c8647b1674de18c8348454d16fee5", "node_id": "mysql-3d5c8647b1674de18c8348454d16fee5",
"keywords": [], "keywords": [],
"children": [], "children": [],
"export": [], "export": [
"sys.json"
],
"keywords_must": [], "keywords_must": [],
"keywords_forbid": [], "keywords_forbid": [],
"group": 0 "group": 0
......
data/3.MySQL高阶/9.服务器优化/3.sys数据库/sys.json 0 → 100644
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{
"type": "code_options",
"author": null,
"source": "sys.md",
"notebook_enable": false,
"exercise_id": "ed53fabf084c4ceb99952f5196412b49"
}
\ No newline at end of file
data/3.MySQL高阶/9.服务器优化/3.sys数据库/sys.md 0 → 100644
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# Sys 数据库
Joe 计划从交易数据库服务器的 sys 系统库获取一些优化线索，下列哪些操作是他需要关注的？
1. 通过 `SELECT * FROM sys.schema_unused_indexes` 找到未使用的索引
2. 通过 `SELECT * FROM sys.schema_redundant_indexes` 找到冗余索引
3. 通过 `SELECT * FROM sys.user_summary` 观察每用户资源消耗
4. 通过 `SELECT * FROM sys.host_summary` 观察每连接消耗
提示：交易数据库仅由DBA和应用程序连接，应用程序使用大量相同配置和登录信息的连接访
问数据库，交易系统访问数据库时，希望尽可能的快速、高并发、每个查询的时间尽可能短。
## 答案
```
1, 2, 4
```
## 选项
### A
所有都是
### B
```
3
```
### C
```
1, 3, 4
```
### C
```
2, 3, 4
```
\ No newline at end of file
data/3.MySQL高阶/9.服务器优化/6.资源组/config.json 已删除 100644 → 0
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{
"node_id": "mysql-715cc1f656df4b099d952145a53dd006",
"keywords": [],
"children": [],
"export": [],
"keywords_must": [],
"keywords_forbid": [],
"group": 0
}
\ No newline at end of file
data/tree.json
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...@@ -23,12 +23,7 @@ ...@@ -23,12 +23,7 @@
"node_id": "mysql-8e971f3c569a4e56bb83b5d75a2a425f", "node_id": "mysql-8e971f3c569a4e56bb83b5d75a2a425f",
"keywords": [], "keywords": [],
"children": [], "children": [],
"keywords_must": [ "keywords_must": [],
[
"数据库",
"概念"
]
],
"keywords_forbid": [], "keywords_forbid": [],
"group": 1 "group": 1
} }
...@@ -38,20 +33,20 @@ ...@@ -38,20 +33,20 @@
"node_id": "mysql-925f9d57c7794e5391fb790bcdbf43c6", "node_id": "mysql-925f9d57c7794e5391fb790bcdbf43c6",
"keywords": [], "keywords": [],
"children": [], "children": [],
"keywords_must": [ "keywords_must": [],
[
"mysql",
"概念"
]
],
"keywords_forbid": [], "keywords_forbid": [],
"group": 0 "group": 0
} }
} }
], ],
"keywords_must": [], "keywords_must": [
"关系型数据库",
"database",
"relational",
"rdbms"
],
"keywords_forbid": [], "keywords_forbid": [],
"group": 1 "group": 0
} }
}, },
{ {
...@@ -68,10 +63,7 @@ ...@@ -68,10 +63,7 @@
], ],
"children": [], "children": [],
"keywords_must": [ "keywords_must": [
[ "安装"
"mysql",
"安装"
]
], ],
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"group": 1 "group": 1
...@@ -87,10 +79,7 @@ ...@@ -87,10 +79,7 @@
], ],
"children": [], "children": [],
"keywords_must": [ "keywords_must": [
[ "登录"
"mysql",
"登录"
]
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...@@ -138,13 +116,7 @@ ...@@ -138,13 +116,7 @@
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...@@ -154,12 +126,7 @@ ...@@ -154,12 +126,7 @@
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...@@ -172,12 +139,7 @@ ...@@ -172,12 +139,7 @@
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...@@ -213,16 +170,7 @@ ...@@ -213,16 +170,7 @@
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...@@ -238,13 +186,7 @@ ...@@ -238,13 +186,7 @@
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...@@ -258,13 +200,7 @@ ...@@ -258,13 +200,7 @@
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...@@ -272,7 +208,7 @@ ...@@ -272,7 +208,7 @@
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...@@ -285,12 +221,7 @@ ...@@ -285,12 +221,7 @@
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...@@ -300,12 +231,7 @@ ...@@ -300,12 +231,7 @@
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...@@ -315,12 +241,7 @@ ...@@ -315,12 +241,7 @@
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...@@ -344,12 +265,7 @@ ...@@ -344,12 +265,7 @@
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...@@ -359,12 +275,7 @@ ...@@ -359,12 +275,7 @@
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...@@ -377,12 +288,7 @@ ...@@ -377,12 +288,7 @@
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...@@ -392,12 +298,7 @@ ...@@ -392,12 +298,7 @@
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...@@ -421,12 +322,7 @@ ...@@ -421,12 +322,7 @@
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...@@ -439,9 +335,7 @@ ...@@ -439,9 +335,7 @@
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...@@ -455,9 +349,7 @@ ...@@ -455,9 +349,7 @@
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...@@ -471,9 +363,7 @@ ...@@ -471,9 +363,7 @@
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...@@ -483,9 +373,7 @@ ...@@ -483,9 +373,7 @@
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...@@ -495,9 +383,7 @@ ...@@ -495,9 +383,7 @@
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...@@ -507,9 +393,7 @@ ...@@ -507,9 +393,7 @@
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...@@ -519,9 +403,7 @@ ...@@ -519,9 +403,7 @@
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...@@ -536,9 +418,7 @@ ...@@ -536,9 +418,7 @@
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...@@ -617,32 +494,21 @@ ...@@ -617,32 +494,21 @@
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...@@ -657,11 +523,10 @@ ...@@ -657,11 +523,10 @@
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...@@ -694,12 +557,7 @@ ...@@ -694,12 +557,7 @@
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...@@ -723,12 +581,7 @@ ...@@ -723,12 +581,7 @@
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...@@ -738,12 +591,7 @@ ...@@ -738,12 +591,7 @@
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...@@ -757,12 +605,7 @@ ...@@ -757,12 +605,7 @@
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...@@ -774,12 +617,7 @@ ...@@ -774,12 +617,7 @@
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...@@ -789,12 +627,7 @@ ...@@ -789,12 +627,7 @@
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...@@ -806,12 +639,7 @@ ...@@ -806,12 +639,7 @@
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...@@ -824,12 +652,7 @@ ...@@ -824,12 +652,7 @@
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...@@ -844,10 +667,9 @@ ...@@ -844,10 +667,9 @@
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...@@ -856,7 +678,7 @@ ...@@ -856,7 +678,7 @@
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...@@ -872,16 +694,7 @@ ...@@ -872,16 +694,7 @@
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...@@ -894,16 +707,7 @@ ...@@ -894,16 +707,7 @@
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...@@ -913,16 +717,7 @@ ...@@ -913,16 +717,7 @@
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...@@ -932,16 +727,7 @@ ...@@ -932,16 +727,7 @@
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...@@ -951,16 +737,7 @@ ...@@ -951,16 +737,7 @@
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...@@ -970,12 +747,7 @@ ...@@ -970,12 +747,7 @@
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...@@ -985,20 +757,19 @@ ...@@ -985,20 +757,19 @@
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...@@ -1014,12 +785,7 @@ ...@@ -1014,12 +785,7 @@
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...@@ -1029,12 +795,7 @@ ...@@ -1029,12 +795,7 @@
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...@@ -1044,12 +805,7 @@ ...@@ -1044,12 +805,7 @@
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...@@ -1059,12 +815,7 @@ ...@@ -1059,12 +815,7 @@
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...@@ -1074,12 +825,7 @@ ...@@ -1074,12 +825,7 @@
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...@@ -1103,13 +849,7 @@ ...@@ -1103,13 +849,7 @@
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...@@ -1119,13 +859,7 @@ ...@@ -1119,13 +859,7 @@
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...@@ -1199,12 +917,7 @@ ...@@ -1199,12 +917,7 @@
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...@@ -1214,15 +927,8 @@ ...@@ -1214,15 +927,8 @@
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...@@ -1231,12 +937,7 @@ ...@@ -1231,12 +937,7 @@
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...@@ -1246,15 +947,8 @@ ...@@ -1246,15 +947,8 @@
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...@@ -1263,12 +957,7 @@ ...@@ -1263,12 +957,7 @@
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...@@ -1281,12 +970,7 @@ ...@@ -1281,12 +970,7 @@
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...@@ -1297,7 +981,7 @@ ...@@ -1297,7 +981,7 @@
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...@@ -1310,13 +994,7 @@ ...@@ -1310,13 +994,7 @@
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...@@ -1328,13 +1006,7 @@ ...@@ -1328,13 +1006,7 @@
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...@@ -1344,13 +1016,7 @@ ...@@ -1344,13 +1016,7 @@
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...@@ -1360,13 +1026,7 @@ ...@@ -1360,13 +1026,7 @@
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...@@ -1374,7 +1034,7 @@ ...@@ -1374,7 +1034,7 @@
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...@@ -1455,7 +1115,7 @@ ...@@ -1455,7 +1115,7 @@
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...@@ -1496,7 +1156,7 @@ ...@@ -1496,7 +1156,7 @@
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...@@ -1549,7 +1209,7 @@ ...@@ -1549,7 +1209,7 @@
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...@@ -1646,7 +1306,7 @@ ...@@ -1646,7 +1306,7 @@
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...@@ -1762,7 +1422,7 @@ ...@@ -1762,7 +1422,7 @@
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...@@ -1954,7 +1614,7 @@ ...@@ -1954,7 +1614,7 @@
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...@@ -2024,7 +1684,7 @@ ...@@ -2024,7 +1684,7 @@
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...@@ -2155,7 +1815,7 @@ ...@@ -2155,7 +1815,7 @@
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...@@ -2244,7 +1904,7 @@ ...@@ -2244,7 +1904,7 @@
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...@@ -2292,16 +1952,6 @@ ...@@ -2292,16 +1952,6 @@
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{
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{ {
"增加中间表": { "增加中间表": {
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...@@ -2358,7 +2008,7 @@ ...@@ -2358,7 +2008,7 @@
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...@@ -2484,7 +2134,7 @@ ...@@ -2484,7 +2134,7 @@
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...@@ -2634,7 +2284,7 @@ ...@@ -2634,7 +2284,7 @@
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...@@ -2642,26 +2292,6 @@ ...@@ -2642,26 +2292,6 @@
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...@@ -2691,89 +2321,11 @@ ...@@ -2691,89 +2321,11 @@
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......
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