Question

我有一个相对简单的MDX查询，它在结果集中创建超过10,000行（大多数是空的），但它生成的SQL在结果集中创建的行数相对较少。这是MDX查询：

SELECT
NON EMPTY CrossJoin({([employmentDate.yearQuarterMonth].[2012]:[employmentDate.yearQuarterMonth].[2014])}, {[Measures].[headCount]}) ON COLUMNS,
NON EMPTY {[residenceLocation].[iso_region].Members} ON ROWS
FROM workforce

这是一个它返回的作用：

|                                                 | 2012                 | 2013                 | 2014                 |
|                                                 | %{measure.headCount} | %{measure.headCount} | %{measure.headCount} |
+--------------------------+----------------------+----------------------+----------------------+----------------------+
| Germany                  | #null                |                  138 |                  241 |                  238 |
| France                   | #null                |                   49 |                   40 |                   66 |
| United Kingdom           | #null                |                   46 |                   20 |                   33 |
| Japan                    | #null                |                   67 |                  135 |                  140 |
| Russian Federation       | #null                |                   84 |                  105 |                   78 |
| United States of America | California           |                   38 |                   43 |                   36 |
|                          |                      |                   38 |                   43 |                   36 |
|                          |                      |                   38 |                   43 |                   36 |
|                          |                      |                   38 |                   43 |                   36 |
|                          |                      |                   38 |                   43 |                   36 |
|                          |                      |                   38 |                   43 |                   36 |
|                          |                      |                   38 |                   43 |                   36 |

您可以看到它会生成像加利福尼亚这样的状态，但会使用空的区域名称反复重复该统计信息。

生成的SQL是，它只返回39行：

select
  "TIME"."YEAR" as "Year",
  "REGIONS_1"."ISO_COUNTRY_CODE" as "Country",
  "REGIONS_1"."ISO_REGION" as "Region",
  sum("EMPLOYMENT"."HEADCOUNT") as "Headcount"
from
   "TIME" "TIME",
  "EMPLOYMENT" "EMPLOYMENT",
  "REGIONS" "REGIONS_1"
where
  "EMPLOYMENT"."EMPLOYMENT_DATE_ID" = "TIME"."ID"
and
  "TIME"."YEAR" in (2012, 2013, 2014)
and
  "EMPLOYMENT"."RESIDENCE_REGION_ID" = "REGIONS_1"."ID"
group by 
  "TIME"."YEAR",
  "REGIONS_1"."ISO_COUNTRY_CODE",
  "REGIONS_1"."ISO_REGION";

然后这个SQL用于加载的属性，它返回超过20,000 +：

select
  "REGIONS_1"."ISO_COUNTRY_CODE" as "Country Code",
  "REGIONS_1"."COUNTRY_NAME" as "Country",
  "REGIONS_1"."ISO_COUNTRY_CODE" as "Country Code",
  "REGIONS_1"."LATITUDE" as "Latitude",
  "REGIONS_1"."LONGITUDE" as "Longitude",
  "REGIONS_1"."ISO_REGION" as "Region",
  "REGIONS_1"."REGION_NAME" as "Region Name",
  "REGIONS_1"."STATE_FIPS" as "State FIPS",
  "REGIONS_1"."LATITUDE" as "Latitude",
  "REGIONS_1"."LONGITUDE" as "Longitude"
from
  "REGIONS" "REGIONS_1"
group by
  "REGIONS_1"."ISO_COUNTRY_CODE",
  "REGIONS_1"."COUNTRY_NAME",
  "REGIONS_1"."LATITUDE",
  "REGIONS_1"."LONGITUDE",
  "REGIONS_1"."ISO_REGION",
  "REGIONS_1"."REGION_NAME",
  "REGIONS_1"."STATE_FIPS"
order by
  "REGIONS_1"."ISO_COUNTRY_CODE" ASC NULLS LAST,
  "REGIONS_1"."ISO_REGION" ASC NULLS LAST;

所以我不确定为什么Mondrian在创建CellSet时会发疯。 Region表由这些列组成（但不是全部）：

Country, 
Region (ISO Code), 
State_FIPS, 
Postal_Code, 
Latitude, 
Longitude, 
County, 
MSA, 
CBSA, etc.

这是一个相当低级别的区域数据。 Dimension的层次结构如下所示：

iso_country
  iso_region
    county

我应该补充说，当使用[residenceLocation]时，它也会发生，但不是这种程度。[country]其中USA被吹出了几个空行。它可能包含10-20个额外行，但不包括10,000行。所以我认为在这两种情况下都是同样的问题。

更新我想出了额外行的来源。当我将纬度和经度作为属性添加到Country，Region和County时，行开始爆炸。把它们带走，没关系。那么是否有一种方法可以添加这些属性，这些属性可能在行之间有所不同而不会影响返回的CellSet？

为什么Mondrian MDX Query在添加属性时会创建大量结果集？

0 个答案: