postgresql按照日期范围进行查询
按照日期查询通常有好几种方法:
按照日期范围查询有好几种方法,日期字段类型一般为:
Timestamp without timezone
方法一:
select * from user_info where create_date
>= '2015-07-01' and create_date < '2015-08-15';
方法二:
select * from user_info where create_date
between '2015-07-01' and '2015-08-15';
方法三:
select * from user_info where create_date
>= '2015-07-01'::timestamp and create_date < '2015-08-15'::timestamp;
方法四:
select * from user_info where create_date
between to_date('2015-07-01','YYYY-MM-DD') and to_date('2015-08-15','YYYY-MM-DD');
pandas.to_sql 遇到主键重复的,怎么能够跳过继续执行呢,其实很简单,就一条一条的插入就可以了,因为to_sql还没有很好的解决办法。
具体的代码如下所示:
for exchange in exchange_list.items():
if exchange[1]==True:
pass
else:
continue
sql = """ SELECT * FROM %s WHERE "time" BETWEEN '2019-07-05 18:48' AND '2019-07-09' """ % (exchange[0])
data = pd.read_sql(sql=sql, con=conn)
print(())
for i in range(len(data)):
#sql = "SELECT * FROM `%s` WHERE `key` = '{}'"%(exchange).format()
#found = pd.read_sql(sql, con=conn2)
#if len(found) == 0:
try:
[i:i + 1].to_sql(name=exchange[0], index=False,if_exists='append', con=conn2)
except Exception as e:
print(e)
pass
pandas.to_sql 无法设置主键,这个是肯定的,能做的办法就是在to_sql之前先使用创建表的方法,创建一张表
建表的代码如下所示:
/*
Create SEQUENCE for table
*/
DROP SEQUENCE IF EXISTS @exchangeName_id_seq;
CREATE SEQUENCE @exchangeName_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
/*
Create Table structure for table
*/
DROP TABLE IF EXISTS "public"."@exchangeName";
CREATE TABLE "public"."@exchangeName" (
"id" int4 NOT NULL DEFAULT nextval('@exchangeName_id_seq'::regclass),
"time" timestamp(6) NOT NULL,
"open" float8,
"high" float8,
"low" float8,
"close" float8,
"volume" float8,
"info" varchar COLLATE "pg_catalog"."default" NOT NULL
)
;
/*
Create Primary Key structure for table
*/
ALTER TABLE "public"."@exchangeName" DROP CONSTRAINT IF EXISTS "@exchangeName_pkey";
ALTER TABLE "public"."@exchangeName" ADD CONSTRAINT "@exchangeName_pkey" PRIMARY KEY ("time", "info");