如何运行顺序临时表和最终SELECT查询

时间:2019-05-24 17:22:31

标签: sql hive hiveql

我习惯了BigQuery,可以在其中使用'WITH'子句运行临时表,然后将这些临时表与最终查询结合在一起。但是,我现在通过DataGrip使用Hive数据库,在该数据库中我无法在一个查询执行中运行顺序临时表。相反,我必须突出显示每个临时表块(在一个脚本内),然后执行到下一个,然后执行到下一个,...这很烦人。

有两项帮助:

  1. 有人知道我如何运行顺序临时表,然后最后通过最终的SELECT语句将它们全部联接起来吗?

  2. 此外,我发现临时表存储在我的会话中,我需要用一条简单的代码行将它们删除,这在BigQuery中不是必需的(再次令人讨厌)。谁能帮我解决这个问题?因为有时临时表可以更改列名,而我不想担心删除带有旧列名的以前的临时表。

以下是代码示例:

-- audience temp table  
    CREATE TEMPORARY VIEW aud AS (
   1 SELECT
        exp_luid
    FROM audience_manager.segments5_luid
    WHERE segment_version_id IN (627, 629)
    )

-- KVJ table
    CREATE TEMPORARY VIEW prod AS (
    SELECT
        station_callsign,
        exp_luid,
        ds,
        ad_start_ts_utc as ad_time,
        COUNT(ds) AS impressions
    FROM vizio_production.kantar_vizio_v4_new
    WHERE  product_id = 36325675
        AND ds BETWEEN 20190101 AND 20190430
        AND exp_luid IS NOT NULL
    GROUP BY 1,2,3,4
    )



-- Join KVJ and audience data set
    CREATE TEMPORARY VIEW join_one AS (
    SELECT
        aud.exp_luid AS exp_luid,
        prod.station_callsign AS network,
        prod.ds AS ds,
        prod.ad_time AS ad_time,
        SUM(prod.impressions) AS impressions
    FROM aud
    INNER JOIN prod ON aud.exp_luid = prod.exp_luid
    GROUP BY 1,2,3,4
    )


SELECT * FROM join_one

从选择语句'join_one'进行最终联接,而无需缓存临时表并在一次脚本执行中运行整个SQL脚本。

1 个答案:

答案 0 :(得分:0)

Hive文档使我相信这会起作用:

WITH aud AS (
SELECT
    exp_luid
FROM audience_manager.segments5_luid
WHERE segment_version_id IN (627, 629)
),


prod AS (
SELECT
    station_callsign,
    exp_luid,
    ds,
    ad_start_ts_utc as ad_time,
    COUNT(ds) AS impressions
FROM vizio_production.kantar_vizio_v4_new
WHERE  product_id = 36325675
    AND ds BETWEEN 20190101 AND 20190430
    AND exp_luid IS NOT NULL
GROUP BY 1,2,3,4
),


join_one AS (
SELECT
    aud.exp_luid AS exp_luid,
    prod.station_callsign AS network,
    prod.ds AS ds,
    prod.ad_time AS ad_time,
    SUM(prod.impressions) AS impressions
FROM aud
INNER JOIN prod ON aud.exp_luid = prod.exp_luid
GROUP BY 1,2,3,4
)


SELECT * FROM join_one

我不太清楚为什么由于单个查询相对紧凑而需要将其扩展为CTE:

  SELECT
    aud.exp_luid AS exp_luid,
    prod.station_callsign AS network,
    prod.ds AS ds,
    prod.ad_time AS ad_time,
    SUM(prod.impressions) AS impressions
  FROM 
    audience_manager.segments5_luid aud
    INNER JOIN 
    (
      SELECT
        station_callsign,
        exp_luid,
        ds,
        ad_start_ts_utc as ad_time,
        COUNT(ds) AS impressions
      FROM vizio_production.kantar_vizio_v4_new
      WHERE  product_id = 36325675
        AND ds BETWEEN 20190101 AND 20190430
        AND exp_luid IS NOT NULL
      GROUP BY 1,2,3,4
    ) prod 
    ON aud.exp_luid = prod.exp_luid
  WHERE aud.segment_version_id IN (627, 629) 
  GROUP BY 1,2,3,4