使用lua和aerospike aql获取值列表

使用lua和aerospike aql获取值列表,lua,aerospike,Lua,Aerospike,我在aerospike中有以下设置: INSERT INTO test.set (PK,DAY_OF_MONTH,YEAR,value) VALUES (1,2,2017,10) INSERT INTO test.set (PK,DAY_OF_MONTH,YEAR,value) VALUES (2,2,2017,11) INSERT INTO test.set (PK,DAY_OF_MONTH,YEAR,value) VALUES (3,3,2017,12) INSERT INTO test.s

我在aerospike中有以下设置:

INSERT INTO test.set (PK,DAY_OF_MONTH,YEAR,value) VALUES (1,2,2017,10)
INSERT INTO test.set (PK,DAY_OF_MONTH,YEAR,value) VALUES (2,2,2017,11)
INSERT INTO test.set (PK,DAY_OF_MONTH,YEAR,value) VALUES (3,3,2017,12)
INSERT INTO test.set (PK,DAY_OF_MONTH,YEAR,value) VALUES (4,3,2017,13)
我是aerospike的新手,目前我只知道如何在LUA中检索单个值,但我想知道如何检索和创建值组

例如,我想知道如何在aql中返回如下结果:

    AGGREGATE test.someFunction() ON test.set

    +------+--------------+------+
    | YEAR | DAY_OF_MONTH | SUMA |
    +------+--------------+------+
    | 2017 | 2            | 21   | 
    | 2017 | 3            | 25   |
    +------+--------------+------+

如果你只做一个映射器,你可以返回多行,但是你想按天分组计数,这样就可以得到一个结果

请注意,返回值只能是受支持的数据类型-string、blob、integer、double、list、map(当前)。您不能返回记录,而且它也不会完全按照您的建议显示在AQL中。还要了解AQL是管理和数据浏览的工具。您不应该围绕它构建代码。这就是各种语言客户端的用途(Java、C#、Go、Node.js、Python等)

下面是一个例子,说明你是如何按照要求行事的:

local function reducer(map1, map2)
  return map.merge(map1, map2, function (id1,id2)
    return map.merge(id1, id2, function (val1,val2)
      return (val1 or 0) + (val2 or 0)
    end)
  end)
end

local function mapper(rec)
  return map{year=rec.YEAR, day=rec.DAY_OF_MONTH, val=rec.value}
end

local function sum_day(group, rec)
  local year = tostring(rec['year'])
  local day = tostring(rec['day'])
  if not group[year] then
    group[year] = map()
  end
  group[year][day] = (group[year][day] or 0) + rec['val']
  return group
end

local function check_rec(rec)
  if rec['YEAR'] and rec['DAY_OF_MONTH'] and
     rec['value'] and
     type(rec['value']) == 'number' then
    return true
  else
    return false
  end
end

function group_by_day(stream)
  return stream : filter(check_rec) :  map(mapper) : aggregate(map(), sum_day) : reduce(reducer)
end
现在来自AQL:

aql> aggregate aggr.group_by_day() on test.set
+-----------------------------------+
| group_by_day                      |
+-----------------------------------+
| MAP('{"2017":{"3":25, "2":21}}')  |
+-----------------------------------+