Question

如何获得使用spark.sql列出每年所有电影的输出？

Ouput:
(1988,{(Rain Man),(Die Hard)})
(1990,{(The Godfather: Part III),(Die Hard 2),(The Silence of the Lambs),(King of New York)})
(1992,{(Unforgiven),(Bad Lieutenant),(Reservoir Dogs)})
(1994,{(Pulp Fiction)})

这是json数据：

{ "id": "movie:1", "title": "Vertigo", "year": 1958, "genre": "Drama", "summary": "A retired San Francisco detective suffering from acrophobia investigates the strange activities of an old friend's wife, all the while becoming dangerously obsessed with her.", "country": "USA", "director": { "id": "artist:3", "last_name": "Hitchcock", "first_name": "Alfred", "year_of_birth": "1899" }, "actors": [ { "id": "artist:15", "role": "John Ferguson" }, { "id": "artist:16", "role": "Madeleine Elster" } ] }

这是我尝试过的代码：

val hiveCtx = new org.apache.spark.sql.hive.HiveContext(sc) 
val movies = hiveCtx.jsonFile("movies.json") 
movies.createOrReplaceTempView("movies")
val ty = hiveCtx.sql("SELECT year, title FROM movies")

请帮助我找到正确的查询。

感谢您的帮助。

Answer 1

无需使用spark.sql即可获得类似的内容。您可以简单地对数据框本身执行操作：

movies.groupBy($"year").agg(concat_ws("; ", collect_list($"title"))).show

使用的数据集：

{ "id": "movie:1", "title": "Vertigo", "year": 1958, "genre": "Drama", "summary": "A retired San Francisco detective suffering from acrophobia investigates the strange activities of an old friend's wife, all the while becoming dangerously obsessed with her.", "country": "USA", "director": { "id": "artist:3", "last_name": "Hitchcock", "first_name": "Alfred", "year_of_birth": "1899" }, "actors": [ { "id": "artist:15", "role": "John Ferguson" }, { "id": "artist:16", "role": "Madeleine Elster" } ] }
{ "id": "movie:2", "title": "The Blob", "year": 1958, "genre": "Drama", "summary": "The Blob", "country": "USA", "director": { "id": "artist:3", "last_name": "Hitchcock", "first_name": "Alfred", "year_of_birth": "1899" }, "actors": [ { "id": "artist:15", "role": "John Ferguson" }, { "id": "artist:16", "role": "Madeleine Elster" } ] }

输出：

+----+----------------------------------+
|year|concat_ws(; , collect_list(title))|
+----+----------------------------------+
|1958|                 Vertigo; The Blob|
+----+----------------------------------+

如何在Spark SQL中获得此输出？

1 个答案: