where date >= '2019-01-01' and date<= '2020-01-01' group by week order by week --按天查询select to_char(date::DATE, 'YYYY-MM-DD') as day,sum(shares) as shares, sum(visits) as visits from database_table where date >= '2019-01-01' and date<= '2020-01-01' group by day...
where date >= '2019-01-01' and date<= '2020-01-01' group by week order by week --按天查询select to_char(date::DATE, 'YYYY-MM-DD') as day,sum(shares) as shares, sum(visits) as visits from database_table where date >= '2019-01-01' and date<= '2020-01-01' group by day...
周 select to_char(to_timestamp(create_time / 1000) - (extract(dow from to_timestamp(create_time / 1000))-1 || 'day')::interval, 'YYYY-mm-dd') as week, COUNT(*) as num from "user" where to_char(to_timestamp(create_time / 1000), 'yyyy-mm-dd') >= '2023-01-01' and to...
PgPedia Week, 2025-05-18 Ian Barwick 2025-05-19 Hacking Workshop for June 2025 Robert Haas 2025-05-19 Mini Summit 5 Transcript: Improving the PostgreSQL Extensions Experience in Kubernete David Wheeler 2025-05-19 Taming ReorderBufferWrite - Boost Logical Decoding in Postgres ...
PostgreSQL窗口函数“列必须出现在GROUP子句中” 我正试图从一个用户分数条目列表中获得一个汇总用户分数的排行榜。在这个表中,单个用户可以有多个条目。(PARTITION BY user_id) FROM rewards;ERROR: column "rewards.user_id" must appear in theGROUPPostgreSQL手册显示了以下条目,我认为它与我的条目是直接平行...
SELECTpage_id,count(*)AScountFROMeventWHEREpage_idIN(/*…page IDs from first query…*/)ANDtenant_id=6AND(payload->>'time')::date>=now()-interval'1 week'GROUPBYpage_idORDERBYcountDESCLIMIT10; 之后,应用程序需要组合这两个步骤的结果。
示例值:week BackupSummary 实例备份统计项 被如下接口引用:DescribeBackupSummaries。 名称类型描述 DBInstanceId String 实例ID。示例值:postgres-xxxxxxxx LogBackupCount Integer 实例日志备份数量。示例值:0 LogBackupSize Integer 实例日志备份大小。示例值:0 ManualBaseBackupCount Integer 手动创建的实例数据备份数量。
SELECTpage_id,count(*)AScountFROMeventWHEREpage_idIN(/*…page IDs from first query…*/)ANDtenant_id=6AND(payload->>'time')::date>=now()-interval'1 week'GROUPBYpage_idORDERBYcountDESCLIMIT10; 1. 2. 3. 4. 5. 6. 之后,应用程序需要组合这两个步骤的结果。
WHERE time > NOW() - INTERVAL '1 week' GROUP BY hour ORDER BY hour DESC; 这个查询会利用 TimescaleDB 的优化来高效地聚合过去一周的数据,并返回每小时的平均温度。相比传统的 PostgreSQL,TimescaleDB 在进行此类时间聚合时性能更优。 5 TimescaleDB 提供了大量的函数,专为时间序列数据的存储、查询和分析...
(e_wage) as dept_avgWage from employee group by dept_id--MAX --求工资最高的员工姓名 use pangu select e_name from employee where e_wage = (select max(e_wage) from employee)--STDEV() --STDEV()函数返回表达式中所有数据的标准差--STDEVP() --STDEVP()函数返回总体标准差--VAR() --VAR(...