Leetcode 3390. Longest Team Pass Streak

1.题目基本信息

1.1.题目描述

Table: Teams

±------------±--------+

| Column Name | Type |

±------------±--------+

| player_id | int |

| team_name | varchar |

±------------±--------+

player_id is the unique key for this table.

Each row contains the unique identifier for player and the name of one of the teams participating in that match.

Table: Passes

±------------±--------+

| Column Name | Type |

±------------±--------+

| pass_from | int |

| time_stamp | varchar |

| pass_to | int |

±------------±--------+

(pass_from, time_stamp) is the unique key for this table.

pass_from is a foreign key to player_id from Teams table.

Each row represents a pass made during a match, time_stamp represents the time in minutes (00:00-90:00) when the pass was made,

pass_to is the player_id of the player receiving the pass.

Write a solution to find the longest successful pass streak for each team during the match. The rules are as follows:

A successful pass streak is defined as consecutive passes where:

Both the pass_from and pass_to players belong to the same team

A streak breaks when either:

The pass is intercepted (received by a player from the opposing team)

Return the result table ordered by team_name in ascending order.

1.2.题目地址

https://leetcode.cn/problems/longest-team-pass-streak/description/

2.解题方法

2.1.解题思路

窗口函数+分组聚合

2.2.解题步骤

第一步,将team_name绑定到passes表格中,记字段flag为传球的状态(成功传球为0,失败为1),得到表格T1

第二步,使用窗口函数SUM,按team1分组、time_stamp进行升序排列,计算flag字段的前缀和,即为flag_prefix字段,得到表格T2

第三步,按team1,flag_prefix进行聚合,如果flag_prefix=0,COUNT()即为连续成功次数,否则COUNT()-1即为连续成功次数,记为字段streak,得到表格T3

第四步,按team_name进行分组聚合,统计streak的最大值记为longest_streak字段,即为题解

3.解题代码

sql代码

sql 复制代码
# Write your MySQL query statement below

WITH T1 AS (
    # 第一步,将team_name绑定到passes表格中,记字段flag为传球的状态(成功传球为0,失败为1),得到表格T1
    SELECT 
        pass_from, time_stamp, pass_to, 
        t1.team_name AS team1, 
        IF(t1.team_name = t2.team_name, 0, 1) AS flag
    FROM Passes 
        LEFT JOIN Teams AS t1 ON Passes.pass_from = t1.player_id
        LEFT JOIN Teams AS t2 ON Passes.pass_to = t2.player_id
), T2 AS (
    # 第二步,使用窗口函数SUM,按team1分组、time_stamp进行升序排列,计算flag字段的前缀和,即为flag_prefix字段,得到表格T2
    SELECT 
        team1, 
        SUM(flag) OVER (PARTITION BY team1 ORDER BY time_stamp) AS flag_prefix
    FROM T1
), T3 AS (
    # 第三步,按team1,flag_prefix进行聚合,如果flag_prefix=0,COUNT(*)即为连续成功次数,否则COUNT(*)-1即为连续成功次数,记为字段streak,得到表格T3
    SELECT 
        team1, 
        IF(flag_prefix = 0, COUNT(flag_prefix), COUNT(flag_prefix) - 1) AS streak
    FROM T2
    GROUP BY team1, flag_prefix
)
# 第四步,按team_name进行分组聚合,统计streak的最大值记为longest_streak字段,即为题解
SELECT 
    team1 AS team_name, 
    MAX(streak) AS longest_streak
FROM T3
GROUP BY team1
HAVING MAX(streak) != 0
ORDER BY team1

4.执行结果

相关推荐
丑八怪大丑8 小时前
JDBC基础篇
java·sql
承渊政道9 小时前
从ROWNUM到LIMIT:KES、Oracle与PostgreSQL的执行顺序差异解析
数据库·数据仓库·sql·mysql·安全·postgresql·oracle
尚雷558010 小时前
Oracle 多租户架构下常用运维SQL
数据库·sql·oracle
StarRocks_labs11 小时前
KaptureCX 大规模实时分析架构演进:基于 RisingWave 与 StarRocks 的最佳实践
starrocks·sql·clickhouse·ai赋能·kapture
Elastic 中国社区官方博客11 小时前
Elasticsearch ES|QL “读取时模式”:你的未映射字段一直都在那里
大数据·数据库·sql·elasticsearch·搜索引擎·全文检索
Elastic 中国社区官方博客11 小时前
Elasticsearch 查询日志:每个查询一行协调器级别日志,适用于 ES|QL、DSL、SQL 和 EQL
大数据·数据库·sql·elasticsearch·搜索引擎·全文检索·可用性测试
雷工笔记11 小时前
不同数据库SQL语句中MD5的写法
数据库·sql
鹿角片ljp21 小时前
从告警检测到智能研判:SQL 注入研判模型的设计与实践
数据库·sql
邮专薛之谦1 天前
MySQL 完整SQL指令大全(含详细解释+实战示例)
数据库·sql·mysql