提交 bc968ba4 编写于 作者: martianzhang's avatar martianzhang

add new heuristic rule COL.019

  RuleTimePrecision
  MySQL 5.6.4+ New time data type, support time precision to microsecond
上级 eae358c4
......@@ -202,7 +202,7 @@ daily: | deps fmt vendor docker cover doc lint release install main_test clean l
# vendor, docker will cost long time, if all those are ready, daily-quick will much more fast.
.PHONY: daily-quick
daily-quick: | deps fmt cover doc lint logo
daily-quick: | deps fmt cover main_test doc lint logo
@echo "\033[92mdaily-quick build finished\033[0m"
.PHONY: logo
......
......@@ -3307,6 +3307,51 @@ func (q *Query4Audit) RuleColumnNotAllowType() Rule {
return rule
}
// RuleTimePrecision COL.019
func (q *Query4Audit) RuleTimePrecision() Rule {
var rule = q.RuleOK()
switch q.Stmt.(type) {
case *sqlparser.DDL:
for _, tiStmt := range q.TiStmt {
switch node := tiStmt.(type) {
case *tidb.CreateTableStmt:
for _, col := range node.Cols {
if col.Tp == nil {
continue
}
switch col.Tp.Tp {
case mysql.TypeDatetime, mysql.TypeTimestamp, mysql.TypeDuration:
if col.Tp.Decimal > 0 {
rule = HeuristicRules["COL.019"]
}
}
}
case *tidb.AlterTableStmt:
for _, spec := range node.Specs {
switch spec.Tp {
case tidb.AlterTableChangeColumn, tidb.AlterTableAlterColumn,
tidb.AlterTableModifyColumn, tidb.AlterTableAddColumns:
for _, col := range spec.NewColumns {
if col.Tp == nil {
continue
}
switch col.Tp.Tp {
case mysql.TypeDatetime, mysql.TypeTimestamp, mysql.TypeDuration:
if col.Tp.Decimal > 0 {
rule = HeuristicRules["COL.019"]
}
}
}
}
}
}
}
}
return rule
}
// RuleNoOSCKey KEY.002
func (q *Query4Audit) RuleNoOSCKey() Rule {
var rule = q.RuleOK()
......
......@@ -2792,8 +2792,6 @@ func TestRuleColumnWithCharset(t *testing.T) {
// 反面的例子
{
"CREATE TABLE `tb` ( `id` int(10) unsigned NOT NULL AUTO_INCREMENT, `c` char(120) NOT NULL DEFAULT '', PRIMARY KEY (`id`))",
// https://github.com/XiaoMi/soar/issues/163
"alter table tb alter column id drop default",
},
}
for _, sql := range sqls[0] {
......@@ -3075,6 +3073,47 @@ func TestRuleColumnNotAllowType(t *testing.T) {
common.Log.Debug("Exiting function: %s", common.GetFunctionName())
}
// COL.019
func TestRuleTimePrecision(t *testing.T) {
common.Log.Debug("Entering function: %s", common.GetFunctionName())
sqls := [][]string{
// 正面的例子
{
"CREATE TABLE t1 (t TIME(3), dt DATETIME(6));",
"ALTER TABLE t1 add t TIME(3);",
},
// 反面的例子
{
"CREATE TABLE t1 (t TIME, dt DATETIME);",
"ALTER TABLE t1 add t TIME;",
},
}
for _, sql := range sqls[0] {
q, err := NewQuery4Audit(sql)
if err == nil {
rule := q.RuleTimePrecision()
if rule.Item != "COL.019" {
t.Error("Rule not match:", rule.Item, "Expect : COL.019")
}
} else {
t.Error("sqlparser.Parse Error:", err)
}
}
for _, sql := range sqls[1] {
q, err := NewQuery4Audit(sql)
if err == nil {
rule := q.RuleTimePrecision()
if rule.Item != "OK" {
t.Error("Rule not match:", rule.Item, "Expect : OK")
}
} else {
t.Error("sqlparser.Parse Error:", err)
}
}
common.Log.Debug("Exiting function: %s", common.GetFunctionName())
}
// KEY.002
func TestRuleNoOSCKey(t *testing.T) {
common.Log.Debug("Entering function: %s", common.GetFunctionName())
......
......@@ -569,6 +569,14 @@ func init() {
Case: "CREATE TABLE tab (a BOOLEAN);",
Func: (*Query4Audit).RuleColumnNotAllowType,
},
"COL.019": {
Item: "COL.019",
Severity: "L1",
Summary: "不建议使用精度在秒级以下的时间数据类型",
Content: "使用高精度的时间数据类型带来的存储空间消耗相对较大;MySQL 在5.6.4以上才可以支持精确到微秒的时间数据类型,使用时需要考虑版本兼容问题。",
Case: "CREATE TABLE t1 (t TIME(3), dt DATETIME(6));",
Func: (*Query4Audit).RuleTimePrecision,
},
"DIS.001": {
Item: "DIS.001",
Severity: "L1",
......
......@@ -18,6 +18,7 @@ package advisor
import (
"flag"
"strings"
"testing"
"github.com/XiaoMi/soar/common"
......@@ -26,6 +27,11 @@ import (
var update = flag.Bool("update", false, "update .golden files")
func TestListTestSQLs(t *testing.T) {
for _, sql := range common.TestSQLs {
if !strings.HasSuffix(sql, ";") {
t.Errorf("%s should end with ';'", sql)
}
}
err := common.GoldenDiff(func() { ListTestSQLs() }, t.Name(), update)
if nil != err {
t.Fatal(err)
......
......@@ -532,6 +532,16 @@ CREATE TABLE tab (a varchar(3500));
```sql
CREATE TABLE tab (a BOOLEAN);
```
## 不建议使用精度在秒级以下的时间数据类型
* **Item**:COL.019
* **Severity**:L1
* **Content**:使用高精度的时间数据类型带来的存储空间消耗相对较大;MySQL 在5.6.4以上才可以支持精确到微秒的时间数据类型,使用时需要考虑版本兼容问题。
* **Case**:
```sql
CREATE TABLE t1 (t TIME(3), dt DATETIME(6));
```
## 消除不必要的 DISTINCT 条件
* **Item**:DIS.001
......
......@@ -79,6 +79,7 @@ SELECT description FROM film WHERE description IN('NEWS','asd') GROUP BY descrip
alter table address add index idx_city_id(city_id);
alter table inventory add index `idx_store_film` (`store_id`,`film_id`);
alter table inventory add index `idx_store_film` (`store_id`,`film_id`),add index `idx_store_film` (`store_id`,`film_id`),add index `idx_store_film` (`store_id`,`film_id`);
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d')
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d');
create table hello.t (id int unsigned);
select * from tb where data >= ''
select * from tb where data >= '';
alter table tb alter column id drop default;
......@@ -50,6 +50,7 @@ advisor.Rule{Item:"COL.015", Severity:"L4", Summary:"TEXT 和 BLOB 类型的字
advisor.Rule{Item:"COL.016", Severity:"L1", Summary:"整型定义建议采用 INT(10) 或 BIGINT(20)", Content:"INT(M) 在 integer 数据类型中,M 表示最大显示宽度。 在 INT(M) 中,M 的值跟 INT(M) 所占多少存储空间并无任何关系。 INT(3)、INT(4)、INT(8) 在磁盘上都是占用 4 bytes 的存储空间。", Case:"CREATE TABLE tab (a INT(1));", Position:0, Func:func(*advisor.Query4Audit) advisor.Rule {...}}
advisor.Rule{Item:"COL.017", Severity:"L2", Summary:"VARCHAR 定义长度过长", Content:"varchar 是可变长字符串,不预先分配存储空间,长度不要超过1024,如果存储长度过长 MySQL 将定义字段类型为 text,独立出来一张表,用主键来对应,避免影响其它字段索引效率。", Case:"CREATE TABLE tab (a varchar(3500));", Position:0, Func:func(*advisor.Query4Audit) advisor.Rule {...}}
advisor.Rule{Item:"COL.018", Severity:"L1", Summary:"建表语句中使用了不推荐的字段类型", Content:"以下字段类型不被推荐使用:boolean", Case:"CREATE TABLE tab (a BOOLEAN);", Position:0, Func:func(*advisor.Query4Audit) advisor.Rule {...}}
advisor.Rule{Item:"COL.019", Severity:"L1", Summary:"不建议使用精度在秒级以下的时间数据类型", Content:"使用高精度的时间数据类型带来的存储空间消耗相对较大;MySQL 在5.6.4以上才可以支持精确到微秒的时间数据类型,使用时需要考虑版本兼容问题。", Case:"CREATE TABLE t1 (t TIME(3), dt DATETIME(6));", Position:0, Func:func(*advisor.Query4Audit) advisor.Rule {...}}
advisor.Rule{Item:"DIS.001", Severity:"L1", Summary:"消除不必要的 DISTINCT 条件", Content:"太多DISTINCT条件是复杂的裹脚布式查询的症状。考虑将复杂查询分解成许多简单的查询,并减少DISTINCT条件的数量。如果主键列是列的结果集的一部分,则DISTINCT条件可能没有影响。", Case:"SELECT DISTINCT c.c_id,count(DISTINCT c.c_name),count(DISTINCT c.c_e),count(DISTINCT c.c_n),count(DISTINCT c.c_me),c.c_d FROM (select distinct id, name from B) as e WHERE e.country_id = c.country_id", Position:0, Func:func(*advisor.Query4Audit) advisor.Rule {...}}
advisor.Rule{Item:"DIS.002", Severity:"L3", Summary:"COUNT(DISTINCT) 多列时结果可能和你预想的不同", Content:"COUNT(DISTINCT col) 计算该列除NULL之外的不重复行数,注意 COUNT(DISTINCT col, col2) 如果其中一列全为 NULL 那么即使另一列有不同的值,也返回0。", Case:"SELECT COUNT(DISTINCT col, col2) FROM tbl;", Position:0, Func:func(*advisor.Query4Audit) advisor.Rule {...}}
advisor.Rule{Item:"DIS.003", Severity:"L3", Summary:"DISTINCT * 对有主键的表没有意义", Content:"当表已经有主键时,对所有列进行 DISTINCT 的输出结果与不进行 DISTINCT 操作的结果相同,请不要画蛇添足。", Case:"SELECT DISTINCT * FROM film;", Position:0, Func:func(*advisor.Query4Audit) advisor.Rule {...}}
......
......@@ -160,9 +160,11 @@ alter table inventory add index `idx_store_film` (`store_id`,`film_id`);
alter table inventory add index `idx_store_film` (`store_id`,`film_id`);
alter table inventory add index `idx_store_film` (`store_id`,`film_id`),add index `idx_store_film` (`store_id`,`film_id`),add index `idx_store_film` (`store_id`,`film_id`);
alter table inventory add index `idx_store_film` (`store_id`,`film_id`),add index `idx_store_film` (`store_id`,`film_id`),add index `idx_store_film` (`store_id`,`film_id`);
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d')
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d')
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d');
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d');
create table hello.t (id int unsigned);
create table hello.t (id int unsigned);
select * from tb where data >= ''
select * from tb where data >= ''
select * from tb where data >= '';
select * from tb where data >= '';
alter table tb alter column id drop default;
alter table tb alter column id drop default;
......@@ -846,7 +846,7 @@ ADD
ADD
index `idx_store_film` (
`store_id`, `film_id`);
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d')
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d');
SELECT
DATE_FORMAT( t. atm, '%Y-%m-%d'
......@@ -864,14 +864,20 @@ COUNT( DISTINCT (
)
ORDER BY
DATE_FORMAT( t. atm, '%Y-%m-%d'
)
);
create table hello.t (id int unsigned);
create table hello. t (id int unsigned);
select * from tb where data >= ''
select * from tb where data >= '';
SELECT
*
FROM
tb
WHERE
data >= ''
data >= '';
alter table tb alter column id drop default;
ALTER TABLE
tb alter column id
DROP
DEFAULT;
......@@ -1490,7 +1490,7 @@ ADD
ADD
index `idx_store_film` (
`store_id`, `film_id`);
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d')
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d');
SELECT
DATE_FORMAT( t. atm, '%Y-%m-%d'
......@@ -1508,14 +1508,20 @@ COUNT( DISTINCT (
)
ORDER BY
DATE_FORMAT( t. atm, '%Y-%m-%d'
)
);
create table hello.t (id int unsigned);
create table hello. t (id int unsigned);
select * from tb where data >= ''
select * from tb where data >= '';
SELECT
*
FROM
tb
WHERE
data >= ''
data >= '';
alter table tb alter column id drop default;
ALTER TABLE
tb alter column id
DROP
DEFAULT;
......@@ -160,9 +160,11 @@ alter table inventory add index `idx_store_film` (`store_id`,`film_id`);
[{5 ALTER TABLE 0} {1 inventory 0} {5 ADD 0} {1 index 0} {3 `idx_store_film` 0} {0 0} {7 ( 0} {3 `store_id` 0} {7 , 0} {3 `film_id` 0} {7 ) 0} {7 ; 0}]
alter table inventory add index `idx_store_film` (`store_id`,`film_id`),add index `idx_store_film` (`store_id`,`film_id`),add index `idx_store_film` (`store_id`,`film_id`);
[{5 ALTER TABLE 0} {1 inventory 0} {5 ADD 0} {1 index 0} {3 `idx_store_film` 0} {0 0} {7 ( 0} {3 `store_id` 0} {7 , 0} {3 `film_id` 0} {7 ) 0} {7 , 0} {5 ADD 0} {1 index 0} {3 `idx_store_film` 0} {0 0} {7 ( 0} {3 `store_id` 0} {7 , 0} {3 `film_id` 0} {7 ) 0} {7 , 0} {5 ADD 0} {1 index 0} {3 `idx_store_film` 0} {0 0} {7 ( 0} {3 `store_id` 0} {7 , 0} {3 `film_id` 0} {7 ) 0} {7 ; 0}]
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d')
[{5 SELECT 0} {4 DATE_FORMAT( 0} {1 t. 0} {1 atm, 0} {0 0} {2 '%Y-%m-%d' 0} {7 ) 0} {7 , 0} {0 0} {4 COUNT( 0} {1 DISTINCT 0} {7 ( 0} {1 t. 0} {1 usr) 0} {7 ) 0} {0 0} {5 FROM 0} {1 usr_terminal 0} {1 t 0} {5 WHERE 0} {1 t. 0} {1 atm 0} {7 > 0} {0 0} {2 '2018-10-22 00:00:00' 0} {0 0} {6 AND 0} {1 t. 0} {1 agent 0} {1 LIKE 0} {2 '%Chrome%' 0} {0 0} {6 AND 0} {1 t. 0} {1 system 0} {7 = 0} {0 0} {2 'eip' 0} {0 0} {5 GROUP BY 0} {4 DATE_FORMAT( 0} {1 t. 0} {1 atm, 0} {0 0} {2 '%Y-%m-%d' 0} {7 ) 0} {0 0} {5 ORDER BY 0} {4 DATE_FORMAT( 0} {1 t. 0} {1 atm, 0} {0 0} {2 '%Y-%m-%d' 0} {7 ) 0}]
SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d');
[{5 SELECT 0} {4 DATE_FORMAT( 0} {1 t. 0} {1 atm, 0} {0 0} {2 '%Y-%m-%d' 0} {7 ) 0} {7 , 0} {0 0} {4 COUNT( 0} {1 DISTINCT 0} {7 ( 0} {1 t. 0} {1 usr) 0} {7 ) 0} {0 0} {5 FROM 0} {1 usr_terminal 0} {1 t 0} {5 WHERE 0} {1 t. 0} {1 atm 0} {7 > 0} {0 0} {2 '2018-10-22 00:00:00' 0} {0 0} {6 AND 0} {1 t. 0} {1 agent 0} {1 LIKE 0} {2 '%Chrome%' 0} {0 0} {6 AND 0} {1 t. 0} {1 system 0} {7 = 0} {0 0} {2 'eip' 0} {0 0} {5 GROUP BY 0} {4 DATE_FORMAT( 0} {1 t. 0} {1 atm, 0} {0 0} {2 '%Y-%m-%d' 0} {7 ) 0} {0 0} {5 ORDER BY 0} {4 DATE_FORMAT( 0} {1 t. 0} {1 atm, 0} {0 0} {2 '%Y-%m-%d' 0} {7 ) 0} {7 ; 0}]
create table hello.t (id int unsigned);
[{1 create 0} {1 table 0} {1 hello. 0} {1 t 0} {7 ( 0} {1 id 0} {1 int 0} {1 unsigned) 0} {7 ; 0}]
select * from tb where data >= ''
[{5 SELECT 0} {7 * 0} {0 0} {5 FROM 0} {1 tb 0} {5 WHERE 0} {1 data 0} {7 >= 0} {0 0} {2 '' 0}]
select * from tb where data >= '';
[{5 SELECT 0} {7 * 0} {0 0} {5 FROM 0} {1 tb 0} {5 WHERE 0} {1 data 0} {7 >= 0} {0 0} {2 '' 0} {7 ; 0}]
alter table tb alter column id drop default;
[{5 ALTER TABLE 0} {1 tb 0} {1 alter 0} {1 column 0} {1 id 0} {5 DROP 0} {4 DEFAULT; 0}]
......@@ -196,11 +196,14 @@ func init() {
"alter table inventory add index `idx_store_film` (`store_id`,`film_id`),add index `idx_store_film` (`store_id`,`film_id`),add index `idx_store_film` (`store_id`,`film_id`);",
// https://github.com/XiaoMi/soar/issues/47
`SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d')`,
`SELECT DATE_FORMAT(t.atm, '%Y-%m-%d'), COUNT(DISTINCT (t.usr)) FROM usr_terminal t WHERE t.atm > '2018-10-22 00:00:00' AND t.agent LIKE '%Chrome%' AND t.system = 'eip' GROUP BY DATE_FORMAT(t.atm, '%Y-%m-%d') ORDER BY DATE_FORMAT(t.atm, '%Y-%m-%d');`,
// https://github.com/XiaoMi/soar/issues/17
"create table hello.t (id int unsigned);",
// https://github.com/XiaoMi/soar/issues/146
"select * from tb where data >= ''",
"select * from tb where data >= '';",
// https://github.com/XiaoMi/soar/issues/163
"alter table tb alter column id drop default;",
}
}
此差异已折叠。
......@@ -4,14 +4,18 @@ GOPATH=$(go env GOPATH)
PROJECT_PATH=${GOPATH}/src/github.com/XiaoMi/soar/
if [ "$1x" == "-updatex" ]; then
cd "${PROJECT_PATH}" && ./bin/soar -list-test-sqls | ./bin/soar -config=../etc/soar.yaml > ./doc/example/main_test.md
cd "${PROJECT_PATH}" && ./bin/soar -list-test-sqls | ./bin/soar -config=../etc/soar.yaml > ./doc/example/main_test.md
if [ ! $? -eq 0 ]; then
exit 1
fi
else
cd "${PROJECT_PATH}" && ./bin/soar -list-test-sqls | ./bin/soar -config=../etc/soar.yaml > ./doc/example/main_test.log
# optimizer_XXX 库名,散粒度,以及索引先后顺序每次可能会不一致
DIFF_LINES=$(cat ./doc/example/main_test.log ./doc/example/main_test.md | grep -v "optimizer\|散粒度" | sort | uniq -u | wc -l)
if [ "${DIFF_LINES}" -gt 0 ]; then
git diff ./doc/example/main_test.log ./doc/example/main_test.md
fi
cd "${PROJECT_PATH}" && ./bin/soar -list-test-sqls | ./bin/soar -config=../etc/soar.yaml > ./doc/example/main_test.log
if [ ! $? -eq 0 ]; then
exit 1
fi
# optimizer_XXX 库名,散粒度,以及索引先后顺序每次可能会不一致
DIFF_LINES=$(cat ./doc/example/main_test.log ./doc/example/main_test.md | grep -v "optimizer\|散粒度" | sort | uniq -u | wc -l)
if [ "${DIFF_LINES}" -gt 0 ]; then
git diff ./doc/example/main_test.log ./doc/example/main_test.md
fi
fi
......@@ -532,6 +532,16 @@ CREATE TABLE tab (a varchar(3500));
```sql
CREATE TABLE tab (a BOOLEAN);
```
## 不建议使用精度在秒级以下的时间数据类型
* **Item**:COL.019
* **Severity**:L1
* **Content**:使用高精度的时间数据类型带来的存储空间消耗相对较大;MySQL 在5.6.4以上才可以支持精确到微秒的时间数据类型,使用时需要考虑版本兼容问题。
* **Case**:
```sql
CREATE TABLE t1 (t TIME(3), dt DATETIME(6));
```
## 消除不必要的 DISTINCT 条件
* **Item**:DIS.001
......
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