Table: ActorDirector
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| actor_id | int |\n| director_id | int |\n| timestamp | int |\n+-------------+---------+\ntimestamp is the primary key (column with unique values) for this table.\n\n\n
\n\n
Write a solution to find all the pairs (actor_id, director_id) where the actor has cooperated with the director at least three times.
Return the result table in any order.
\n\nThe result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \nActorDirector table:\n+-------------+-------------+-------------+\n| actor_id | director_id | timestamp |\n+-------------+-------------+-------------+\n| 1 | 1 | 0 |\n| 1 | 1 | 1 |\n| 1 | 1 | 2 |\n| 1 | 2 | 3 |\n| 1 | 2 | 4 |\n| 2 | 1 | 5 |\n| 2 | 1 | 6 |\n+-------------+-------------+-------------+\nOutput: \n+-------------+-------------+\n| actor_id | director_id |\n+-------------+-------------+\n| 1 | 1 |\n+-------------+-------------+\nExplanation: The only pair is (1, 1) where they cooperated exactly 3 times.\n\n", "translatedTitle": "合作过至少三次的演员和导演", "translatedContent": "
ActorDirector 表：
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| actor_id | int |\n| director_id | int |\n| timestamp | int |\n+-------------+---------+\ntimestamp 是这张表的主键(具有唯一值的列).\n\n\n
\n\n
编写解决方案找出合作过至少三次的演员和导演的 id 对 (actor_id, director_id)
\n\n
示例 1：
\n\n\n输入：\nActorDirector 表：\n+-------------+-------------+-------------+\n| actor_id | director_id | timestamp |\n+-------------+-------------+-------------+\n| 1 | 1 | 0 |\n| 1 | 1 | 1 |\n| 1 | 1 | 2 |\n| 1 | 2 | 3 |\n| 1 | 2 | 4 |\n| 2 | 1 | 5 |\n| 2 | 1 | 6 |\n+-------------+-------------+-------------+\n输出：\n+-------------+-------------+\n| actor_id | director_id |\n+-------------+-------------+\n| 1 | 1 |\n+-------------+-------------+\n解释：\n唯一的 id 对是 (1, 1)，他们恰好合作了 3 次。\n", "isPaidOnly": false, "difficulty": "Easy", "likes": 87, "dislikes": 0, "isLiked": null, "similarQuestions": "[]", "contributors": [], "langToValidPlayground": "{\"cpp\": false, \"java\": false, \"python\": false, \"python3\": false, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"typescript\": false, \"bash\": false, \"php\": false, \"swift\": false, \"kotlin\": false, \"dart\": false, \"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false}", "topicTags": [ { "name": "Database", "slug": "database", "translatedName": "数据库", "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "MySQL", "langSlug": "mysql", "code": "# Write your MySQL query statement below", "__typename": "CodeSnippetNode" }, { "lang": "MS SQL Server", "langSlug": "mssql", "code": "/* Write your T-SQL query statement below */", "__typename": "CodeSnippetNode" }, { "lang": "Oracle", "langSlug": "oraclesql", "code": "/* Write your PL/SQL query statement below */", "__typename": "CodeSnippetNode" }, { "lang": "Pandas", "langSlug": "pythondata", "code": "import pandas as pd\n\ndef actors_and_directors(actor_director: pd.DataFrame) -> pd.DataFrame:\n ", "__typename": "CodeSnippetNode" }, { "lang": "PostgreSQL", "langSlug": "postgresql", "code": "-- Write your PostgreSQL query statement below", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"62.7K\", \"totalSubmission\": \"82.4K\", \"totalAcceptedRaw\": 62744, \"totalSubmissionRaw\": 82392, \"acRate\": \"76.2%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "{\"headers\":{\"ActorDirector\":[\"actor_id\",\"director_id\",\"timestamp\"]},\"rows\":{\"ActorDirector\":[[1,1,0],[1,1,1],[1,1,2],[1,2,3],[1,2,4],[2,1,5],[2,1,6]]}}", "metaData": "{\"mysql\":[\"Create table If Not Exists ActorDirector (actor_id int, director_id int, timestamp int)\"],\"mssql\":[\"Create table ActorDirector (actor_id int, director_id int, timestamp int)\"],\"oraclesql\":[\"Create table ActorDirector (actor_id int, director_id int, timestamp int)\"],\"database\":true,\"name\":\"actors_and_directors\",\"pythondata\":[\"ActorDirector = pd.DataFrame([], columns=['actor_id', 'director_id', 'timestamp']).astype({'actor_id':'int64', 'director_id':'int64', 'timestamp':'int64'})\"],\"manual\":false,\"postgresql\":[\"Create table If Not Exists ActorDirector (actor_id int, director_id int, timestamp int)\"],\"database_schema\":{\"ActorDirector\":{\"actor_id\":\"INT\",\"director_id\":\"INT\",\"timestamp\":\"INT\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists ActorDirector (actor_id int, director_id int, timestamp int)", "Truncate table ActorDirector", "insert into ActorDirector (actor_id, director_id, timestamp) values ('1', '1', '0')", "insert into ActorDirector (actor_id, director_id, timestamp) values ('1', '1', '1')", "insert into ActorDirector (actor_id, director_id, timestamp) values ('1', '1', '2')", "insert into ActorDirector (actor_id, director_id, timestamp) values ('1', '2', '3')", "insert into ActorDirector (actor_id, director_id, timestamp) values ('1', '2', '4')", "insert into ActorDirector (actor_id, director_id, timestamp) values ('2', '1', '5')", "insert into ActorDirector (actor_id, director_id, timestamp) values ('2', '1', '6')" ], "enableRunCode": true, "envInfo": "{\"mysql\":[\"MySQL\",\"
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