Question

我正在尝试将SQL查询转换为KnexJS格式，但是当前的KnexJS查询给我以下错误。

“ as”堆栈附近或附近的语法错误：错误：“ as”堆栈附近或附近的语法错误

这是原始查询，也是我一直在为KnexJS处理的查询。请更正我的KnexJS查询。基本上，我想知道如何构建KnexJS查询-内部联接子查询先感谢您！

原始SQL查询：

pd.date_range("20181101","20181217", freq='W')

更新：

这是对我有用的解决方案：

select DATE_RANGE.START_DATE, DATE_RANGE.END_DATE, count (distinct DATE) as DATE_COUNT
from TASK_HISTORY
join
(select 
STORE_ID, 
to_number(to_char(to_date(to_char(DATE,'99999999'),'YYYYMMDD') - 1,'YYYYMMDD'),'99999999') as END_DATE
, count (distinct DATE) as REC_COUNT
, to_number(to_char(to_date(to_char(lag (DATE) over (order by DATE asc),'99999999'),'YYYYMMDD') + 1,'YYYYMMDD'),'99999999') as START_DATE
, count (case when FINISH_TIME is not null then 1 end) as COUNT_FINISHED
, count (case when FINISH_TIME is null then 1 end) as COUNT_UNFINISHED
  from TASK_HISTORY
  where STORE_ID = 43
  group by DATE, STORE_ID
  having count (case when FINISH_TIME is not null then 1 end) = 0
  order by DATE)
  as DATE_RANGE
on TASK_HISTORY.DATE >= DATE_RANGE.START_DATE 
    AND TASK_HISTORY.DATE <= DATE_RANGE.END_DATE
    AND TASK_HISTORY.STORE_ID = 43
group by DATE_RANGE.START_DATE, DATE_RANGE.END_DATE, DATE_RANGE.REC_COUNT
order by DATE_COUNT desc, START_DATE desc

Answer 1

这可能对您有帮助-

const sql = db.table("task_history")
   .select('DATE_RANGE.START_DATE', 'DATE_RANGE.END_DATE')
   .select(db.raw(`count(distinct DATE) as DATE_COUNT`))
   .innerJoin(
      db.select('store_id')
         .table('task_history')
         .select(db.raw(
            `to_number(to_char(to_date(to_char(DATE,'99999999'),'YYYYMMDD') - 1,'YYYYMMDD'),'99999999') as END_DATE`
         ))
         .select(db.raw(`count(distinct DATE) as REC_COUNT`))
         .select(db.raw(
            `to_number(to_char(to_date(to_char(lag (DATE) over (order by DATE asc),'99999999'),'YYYYMMDD') + 1,'YYYYMMDD'),'99999999') as START_DATE`
         ))
         .select(db.raw(`count(case when FINISH_TIME is not null then 1 end) as COUNT_FINISHED`))
         .select(db.raw(`count(case when FINISH_TIME is null then 1 end) as COUNT_UNFINISHED`))
         .where('store_id', 43)
         .groupBy('date', 'store_id')
         .having(db.raw(`count(case when FINISH_TIME is not null then 1 end) = 0 order by DATE`))
         .as('DATE_RANGE')
      , function () {
         this.on('DATE_RANGE.START_DATE', '>=', 'TASK_HISTORY.DATE')
            .andOn('TASK_HISTORY.DATE', '<=', 'DATE_RANGE.END_DATE')
            .andOn('TASK_HISTORY.STORE_ID', 43)
      })
   .where('task_history.date', '>=', 'DATE_RANGE.START_DATE')
   .where('task_history.date', '<=', 'DATE_RANGE.END_DATE')
   .groupBy('DATE_RANGE.START_DATE', 'DATE_RANGE.END_DATE', 'DATE_RANGE.REC_COUNT')
   .orderBy('DATE_COUNT', 'desc')
   .orderBy('START_DATE', 'desc')
   .toSQL();
console.log(sql);

将SQL查询（与子查询结合）转换为KnexJS

1 个答案: