#1、问题显示如下所示:#Use the CROSS JOIN syntax to allow cartesian products between these relation#2、原因:#Spark 2.x版本中默认不支持笛卡尔积操作#3、解决方案:#通过参数spark.sql.crossJoin.enabled开启,方式如下:sc.conf.set("spark.sql.crossJoin.enabled","true") sc.sql("""select avg(tmp.inco...
应当在 HAVING 子句中指定的搜索条件只是那些必须在执行分组操作之后应用的搜索条件。 Microsoft SQL Server™ 2000 查询优化器可处理这些条件中的大多数。如果查询优化器确定 HAVING 搜索条件可以在分组操作之前应用,那么它就会在分组之前应用。查询优化器可能无法识别所有可以在分组操作之前应用的 HAVING 搜索条件。建议...
having Tid < 8 and count(*) > 2; 1. 2. 3. 4. 5. 6. 7. 2. 字段总结 having字段 ,select字段,group by字段之间的关系,最终可以总结为一下的SQL语句,其中A、B、C都是表中现有的列 select A,C,count(A) group by A,B,C having A > 1 1. 2. 3. 1. 如果select 后面跟着是 A 和 C...
inner join (select s#,count(c#),count(if(score<60,c#,null)) from sc group by s# having count(c#) = count(if(score<60,c#,null))) t2 on t1.s#=t2.s# --10、查询没有学全所有课的同学的学号、姓名; select t1.s#,t1.sname from student t1 inner join sc t2 on t1.s#=t2.s# ...
hive sql语法整理 一、单表查询 SELECT [ALL | DISTINCT]select_expr, select_expr, ... FROM table_reference [WHERE where_condition] [GROUP BY col_list [HAVING condition]] [CLUSTER BY col_list | [DISTRIBUTE BY col_list] [SORT BY| ORDER BY col_list]...
col1 ,count(*) as '一对 n 的记录数' from (select distinct col1 ,col2 from temp )t group by t.col1 having count(*) >1编辑于 2022-12-06 21:28・IP 属地广东 内容所属专栏 Hive 订阅专栏 Hive SQL优化 SQL 赞同3添加评论 分享喜欢收藏申请转载 ...
09-Hive SQL-DML-Select查询--Having过滤操作是[2022]大数据基础入门和实战的第78集视频,该合集共计97集,视频收藏或关注UP主,及时了解更多相关视频内容。
HiveSQL与传统SQL的对比: image.png 表结构 image.png image.png 练习 1.2019年一月到四月,每个品类有多少人购买,累计金额是多少 selectgoods_category,count(distinct user_name)user_num,sum(pay_amount)total_amountfromuser_tradewheredt between'2019-01-01'and'2019-04-30'groupby goods_category; ...
havingcount(*)>=2)t3 group by user_id)t4 union all selectcount(*)user_total_count,cast(sum(age)/count(*)asdecimal(10,2)),0twice_count,0twice_count_avg_agefrom(select user_id,min(age)asage from user_age group by user_id)t5; ...
selectgoods_category,count(distinct user_name)asuser_num,sum(pay_amount)astotal_amountfromuser_tradewheredt between'2019-01-01'and'2019-03-31'groupby goods_category; 需求3过程 需求3结果 (2)GROUP BY …… HAVING HAVING:表示对GROUP BY后的对象进行筛选,即对聚合结果进行筛选而不是对原表进行筛选。