我很难将下面的这个简单的SQL查询转换为Druid：

SELECT country, city, Count(*) 
FROM people_data 
WHERE name="Mary" 
GROUP BY country, city;

所以到目前为止，我想到了这个查询：

{
  "queryType": "groupBy",
  "dataSource" : "people_data",
  "granularity": "all",
  "metric" : "num_of_pages",
  "dimensions": ["country", "city"],
  "filter" : {
      "type" : "and",
      "fields" : [
          {
            "type": "in",
            "dimension": "name",
            "values": ["Mary"]
          },
          {
            "type" : "javascript",
            "dimension" : "email",
            "function" : "function(value) { return (value.length !== 0) }"
          }
      ]
  },
  "aggregations": [

    { "type": "longSum", "name": "num_of_pages", "fieldName": "count" }
  ],
  "intervals": [ "2016-07-20/2016-07-21" ]
}

上面的查询正在运行，但是Druid数据源中的groupBy似乎都没有被评估，因为我在输出中看到的人的名字不是Mary。是否有人对如何进行这项工作有任何意见？