SELECT t2.city_name, COUNT(*) AS count FROM ( SELECT t1.cuid FROM ( SELECT cuid, ROW_NUMBER() OVER (PARTITION BY cuid ORDER BY cuid) AS rn FROM map_huiyan_short_stay WHERE loc_x > 12993523 AND loc_x < 13012467 AND loc_y > 4773079 AND loc_y < 4789463 AND event_day = 20230605 ) t1 WHERE rn = 1 ) t1 JOIN ( SELECT cuid, city_name FROM map_huiyan_long_stay_with_area WHERE event_day = 20230605 AND event_type = 'home' AND event_os = 'android' ) t2 ON t1.cuid = t2.cuid GROUP BY t2.city_name;请修改代码不使用row_number实现相同的效果

以下是不使用 ROW_NUMBER() 函数的修改后的代码实现相同效果：

SELECT t2.city_name, COUNT(*) AS count
FROM (
    SELECT DISTINCT t1.cuid
    FROM map_huiyan_short_stay t1
    WHERE t1.loc_x > 12993523 AND t1.loc_x < 13012467 
        AND t1.loc_y > 4773079 AND t1.loc_y < 4789463 
        AND t1.event_day = 20230605 
) t1
JOIN (
    SELECT cuid, city_name
    FROM map_huiyan_long_stay_with_area
    WHERE event_day = 20230605 
        AND event_type = 'home' 
        AND event_os = 'android'
) t2 ON t1.cuid = t2.cuid
GROUP BY t2.city_name;

这里使用了 DISTINCT 关键字来确保只选择每个 cuid 的唯一值，从而达到与使用 ROW_NUMBER() 函数相同的效果。

相关问题

检查一下是否存在语法错误insert overwrite local directory '/home/map/chenlinyu/task2' row format delimited fields terminated by '\t' SELECT t2.city_name, COUNT(*) as count FROM map_huiyan_short_stay t1 JOIN map_huiyan_long_stay_with_area t2 ON t1.cuid = t2.cuid WHERE t2.event_day=20230605 and t1.loc_x>12993523 and t1.loc_x<13012467 and t1.loc_y>4773079 and t1.loc_y<4789463 group by t2.city_name

这段代码存在一些语法错误。在使用INSERT OVERWRITE语句时，需要指定目标表，而你的代码中没有指定目标表。此外，你还需要使用INSERT语句来将查询结果插入到指定的目录中。

以下是修正后的代码：

INSERT OVERWRITE DIRECTORY '/home/map/chenlinyu/task2'
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\t'
SELECT t2.city_name, COUNT(*) AS count
FROM map_huiyan_short_stay t1
JOIN map_huiyan_long_stay_with_area t2 ON t1.cuid = t2.cuid
WHERE t2.event_day = 20230605
  AND t1.loc_x > 12993523
  AND t1.loc_x < 13012467
  AND t1.loc_y > 4773079
  AND t1.loc_y < 4789463
GROUP BY t2.city_name;

请确保将目标表替换为你想要插入数据的实际目录，并执行修正后的代码。

SELECT t2.city_name, COUNT(*) AS count FROM ( SELECT cuid FROM ( SELECT cuid, ROW_NUMBER() OVER (PARTITION BY cuid ORDER BY cuid) AS rn FROM map_huiyan_short_stay WHERE loc_x > 12993523 AND loc_x < 13012467 AND loc_y > 4773079 AND loc_y < 4789463 AND event_day = 20230605 ) sub WHERE rn = 1 ) t1 JOIN ( SELECT cuid, city_name FROM map_huiyan_long_stay_with_area WHERE event_day = 20230605 AND event_type = 'home' AND event_os = 'android' ) t2 ON t1.cuid = t2.cuid GROUP BY t2.city_name;修改这段代码使其能在hive中运行

在Hive中运行该代码，需要进行一些修改。Hive不支持使用ROW_NUMBER()函数和子查询的嵌套，因此我们需要使用其他方法来实现相同的功能。

以下是修改后的代码：

SELECT t2.city_name, COUNT(*) AS count
FROM (
  SELECT cuid, MIN(cuid) AS min_cuid
  FROM map_huiyan_short_stay
  WHERE loc_x > 12993523 AND loc_x < 13012467 AND loc_y > 4773079 AND loc_y < 4789463 AND event_day = 20230605
  GROUP BY cuid
) t1
JOIN (
  SELECT cuid, city_name
  FROM map_huiyan_long_stay_with_area
  WHERE event_day = 20230605 AND event_type = 'home' AND event_os = 'android'
) t2 ON t1.min_cuid = t2.cuid
GROUP BY t2.city_name;

这里我们使用GROUP BY和MIN()函数来找到每个cuid的最小值，以代替ROW_NUMBER()函数。然后将结果与长期停留表进行连接，并按城市名进行分组。

请确保将map_huiyan_short_stay和map_huiyan_long_stay_with_area替换为您实际使用的表名，并根据需要更改其他条件。