我最终使用了this AWS example和this blog article中描述的方法。
具体来说，我按照最初列出的那样设置我的S3结构，除了我删除了hive符号（这可以保留，但我相信在这种情况下投影日期格式会变得更加混乱）：

s3://bucket/device/table_x/2000/01/02/xyz.parquet

有了这个，我设置我的表属性使用分区投影与以下设置：

"projection.enabled" = "true",
 "projection.date_created.type" = "date",
 "projection.date_created.format" = "yyyy/MM/dd",
 "projection.date_created.range" = "2000/01/01,NOW",
 "projection.date_created.interval" = "1",
 "projection.date_created.interval.unit" = "DAYS",
 "storage.location.template" = "s3://bucket/device/table_x/${date_created}/"

在我的Table Schema中，我将JSON更新为以下内容：

[
  {
    "Name": "t",
    "Type": "timestamp",
    "Comment": ""
  },
  {
    "Name": "a1",
    "Type": "double",
    "Comment": ""
  },
  {
    "Name": "a2",
    "Type": "double",
    "Comment": ""
  },
  {
    "Name": "date_created",
    "Type": "string",
    "Comment": "",
    "PartitionKey": "Partition (0)"
  }
]

在进行了这些更新之后，我现在可以使用pilcrow提出的更简单的分区结构来查询数据：

SELECT
    Count(a1) as AVG_a1                 
FROM
    tbl_11111111_a
WHERE
    date_created BETWEEN '2000/01/01' AND '2000/01/02'

这里的重点是，我能够保留一个子文件夹嵌套的日期结构（我更喜欢用于非Athena数据库的目的-但仍然保留简单的SQL查询WHERE语句用于我的Athena查询，同时使用有效的分区投影。
还请注意，我相信pilcrow在分析我原来的年/月/日SQL查询效率低下方面是正确的，因为我发现当切换到与单日5分钟间隔相关的查询的新结构时，速度提高了66%。

我有两个选择。
首先，理想情况下，repartition使用单个“YYYYMMDD”属性分区，而不是嵌套。对于更自然的查询，这是一个很好的实践，例如，“... WHERE ymd_partition BETWEEN 'START_YMD' AND 'END_YMD'“，没有所有那些布尔扭曲。
否则，继续使用当前的方法，它有一个可行的想法，但为了效率而收紧它。
我们希望根据输入范围应用三种情景（同一年/月、同一年、不同年）中的一种且仅一种;然而，正如所写，我们根据所有记录来评估每个场景的每个条件，而不管输入范围如何。（例如，[2023-01-31, 2023-02-1]的输入范围将检查 * 从1月起的每个parquet文件 *，因为倒数第二个OR条件，因此意味着我们依赖t BETWEEN...条件作为昂贵的支持。
解决方案不会是漂亮的。

WHERE
-- apply only when input range has same year, same month
-- 
(start_yr = end_yr AND start_mo = end_mo
  AND "year" = start_yr
  AND "month" = start_mo
  AND "day" BETWEEN start_day AND end_day)
OR
-- apply only when input range same year, different months
--
(start_yr = end_yr AND start_mo != end_mo
  AND "year" = start_yr
  AND ( ("month" = start_mo AND "day" >= start_day)
          OR
        -- "day BETWEEN 1 AND 31" is superfluous here
        ("month" > start_mo AND "month" < end_mo)
          OR
        ("month" = end_mo AND "day" <= end_day) ) )
OR
-- apply only when input range has different years
--
(start_yr != end_yr
  AND
( ("year" = start_yr AND ( ("month" = start_mo AND "day" >= start_day)
                              OR
                           ("month" > start_mo) ) )
     OR
  ("year" > start_yr AND "year" < end_yr)
     OR
  ("year" = end_yr AND ( ("month" < end_mo )
                             OR
                         ("month" = end_mo AND "day" <= end_day) ) ) ) )

我可能漏掉了一个括号。
如果需要，可以重新添加t BETWEEN逻辑。

我现在最好的建议是在查询下面，这应该可以工作-但它很复杂。是否有关于这种声明的建议最佳做法？
我认为您还可以使用CASE表达式将数据过滤到START_YEAR、START_MONTH、START_DAY、END_YEAR、END_MONTH和END_DAY参数指定的时间段。

SELECT
    Count(a1) as AVG_a1                 
FROM
    tbl_11111111_a
WHERE
    CASE
        WHEN year = START_YEAR AND month = START_MONTH AND day BETWEEN START_DAY AND END_DAY THEN 1
        WHEN year = START_YEAR AND month = START_MONTH AND day >= START_DAY THEN 1
        WHEN year = START_YEAR AND month > START_MONTH AND month < END_MONTH AND day BETWEEN '01' AND '31' THEN 1
        WHEN year = START_YEAR AND month = END_MONTH AND day <= END_DAY THEN 1
        WHEN year > START_YEAR AND year < END_YEAR THEN 1
        WHEN year = END_YEAR AND month < END_MONTH AND day BETWEEN '01' AND '31' THEN 1
        WHEN year = END_YEAR AND month = END_MONTH AND day <= END_DAY THEN 1
        ELSE 0
    END = 1
    AND
    t BETWEEN TIMESTAMP CONCAT(START_YEAR, '-', START_MONTH, '-', START_DAY, ' 00:00:00') AND TIMESTAMP CONCAT(END_YEAR, '-', END_MONTH, '-', END_DAY, ' 00:00:00')