join

What is difference between ANSI and non-ANSI joins, and which do you recommend? [duplicate]

北战南征 提交于 2020-02-02 07:02:06
问题 This question already has answers here : Oracle Joins - Comparison between conventional syntax VS ANSI Syntax (11 answers) Closed 6 years ago . I have come across many websites to find the answer about which one is better, ANSI or non- ANSI syntax. What is the difference between these two queries? select a.name,a.empno,b.loc from tab a, tab b where a.deptno=b.deptno(+); and: select a.name,a.empno,b.loc from tab a left outer join tab b on a.deptno=b.deptno; The result is same in both the cases

What is difference between ANSI and non-ANSI joins, and which do you recommend? [duplicate]

不羁的心 提交于 2020-02-02 07:01:45
问题 This question already has answers here : Oracle Joins - Comparison between conventional syntax VS ANSI Syntax (11 answers) Closed 6 years ago . I have come across many websites to find the answer about which one is better, ANSI or non- ANSI syntax. What is the difference between these two queries? select a.name,a.empno,b.loc from tab a, tab b where a.deptno=b.deptno(+); and: select a.name,a.empno,b.loc from tab a left outer join tab b on a.deptno=b.deptno; The result is same in both the cases

SQL Server : removing duplicate column while joining tables

天大地大妈咪最大 提交于 2020-02-02 03:24:45
问题 I have 4 tables with one column is common on all tables. Is there a way to create a view where I can join all tables by same column where I see the common column only once. Let's say I have table1 Cust ID | Order ID | Product_Name Table2 Cust_ID | Cust_Name | Cust_Address Table3 Cust_ID | Cust_Acc | Acc_Type Table4 Cust_ID | Contact_Phone | Cust_Total_Ord Here is the code I use to join tables; SELECT * FROM table1 LEFT JOIN table2 ON table1.Cust_ID = table2.Cust_ID LEFT JOIN table3 ON table2

spark sql dataframe join with renaming in a loop

梦想与她 提交于 2020-02-01 07:27:04
问题 I'm trying to do a transitive closure over dataframes. After several iterations I get some internal spark exception. Any ideas on what causes it and how to solve it. Here is my program: val e = Seq((1, 2), (1, 3), (2, 4), (4, 5), (5, 6), (6, 7), (7, 8), (8, 9), (9, 10), (10, 11), (11, 12), (12, 13), (13, 14), (14, 15), (15, 16), (16, 17), (17, 18), (18, 19)) var edges = e.map(p => Edge(p._1, p._2)).toDF() var filtered = edges .filter("start = 1") .distinct() .withColumnRenamed("start",

joining two tables on a udf in hive

放肆的年华 提交于 2020-02-01 05:37:26
问题 A basic question before i write a udf to be used in hive. I want to join two tables based on custom UDF which takes an argument from table a and another from table b. I have seen examples of UDFs which take arguments from one of the tables to be joined. Does taking arguments from two tables work equally well?. 回答1: It sounds like you want a function function my_udf(val_A, val_B): trans_A = <do something to val_A> trans_B = <do something to val_B> return trans_A cmp trans_B The UDF will return

SQL学习(三)——JOIN SELECT WITHIN SELECT

生来就可爱ヽ(ⅴ<●) 提交于 2020-02-01 00:25:19
JOIN 2020/01/31 https://sqlzoo.net/wiki/The_JOIN_operation 3. Modify it to show the player, teamid, stadium and mdate for every German goal. SELECT name FROM world WHERE continent = 'Europe' and gdp / population > ( SELECT gdp / population FROM world WHERE name = 'United Kingdom' ) 注:where在join后 7.List the player for every goal scored in a game where the stadium was 'National Stadium, Warsaw’ select player from goal JOIN game on matchid = id where stadium = 'National Stadium, Warsaw' 8.The example query shows all goals scored in the Germany-Greece quarterfinal. Instead show the name of all

Combining Queries with Set & Join Operators【SQL】

核能气质少年 提交于 2020-01-31 00:14:52
SET Operator PROC SQL can combine the results of two or more queries in various ways by using the following set operators: UNION produces all unique rows from both queries. o All unique rows from both tables are selected. o Resulting columns are determined by the first table. o Columns are overlaid in the order they appear, not by matching names. o Overlaid columns must have the same data type. EXCEPT produces rows that are part of the first query only. o Unique rows from the first table that are not found in the second table are selected. o Resulting columns are determined by the first table.

宅在家里写数据库中联表查询

纵然是瞬间 提交于 2020-01-30 12:54:28
联表查询的关键字是join,如果需要判断条件的话是join on(on后面加判断条件),这两个一般是成对出现的,这里以两个表的连接进行讲解,首先给出两个表,分别是student学生表和result成绩表 首先我们进行讲解 内连接(inner join) ,也是最常用的一种联表查询,所谓inner join,也就是当我们查询学生的姓名和成绩时,我们需要用到student学生表和result成绩表,而inner join查出的结果就是,学生表中有该学生而且成绩表中对应的有该学生的成绩,满足这一条件的会被查出来 下面进行演示查询学生的姓名和成绩,我们会看到,姓名和成绩都是相对应的,没有出现学生没成绩,也没有出现成绩没学生 外连接包括左外连接和右外连接,也称为左连接和右连接。所谓的 左连接(left join) ,也就是在内连接的基础上,又把左表中所有的信息打印出来了 还是以查询学生姓名和成绩为例,左连接会把没有成绩的姓名打印出来(前提时student表在前,也就是在左),下面进行演示 右连接(right join) 跟左连接差不多,就是在内连接的基础上把右边表的信息打印出来了 还是以查询学生姓名和成绩为例,右连接会把没有姓名的成绩打印出来(前提时result表在后,也就是在右),下面进行演示 来源: CSDN 作者: 贺志营 链接: https://blog.csdn.net

how to retrieve different names from same table with different ids on join laravel

谁都会走 提交于 2020-01-30 09:29:05
问题 I need to get names from destinations table for each from_destination_id and to_destination_id as fromDestinationName and toDestinationName $bookingTransfersData = DB::table('transfers as t') ->select('t.periodStart as periodStart', 't.periodEnd as periodEnd','t.days','t.transfer_id','t.cost_round_trip', 't.cost_one_way','t.status','d.destination_id as destinationId','d.name as destinationName', 't.type', 'tf.name as officeName', 'ag.name as agencyName', 'u.name as userName', 'v.name as

data.table conditional Inequality join

谁说我不能喝 提交于 2020-01-30 06:00:26
问题 There're two sample datasets: > aDT col1 col2 ExtractDate 1: 1 A 2017-01-01 2: 1 A 2016-01-01 3: 2 B 2015-01-01 4: 2 B 2014-01-01 > bDT col1 col2 date_pol Value 1: 1 A 2017-05-20 1 2: 1 A 2016-05-20 2 3: 1 A 2015-05-20 3 4: 2 B 2014-05-20 4 And I need: > cDT col1 col2 ExtractDate date_pol Value 1: 1 A 2017-01-01 2016-05-20 2 2: 1 A 2016-01-01 2015-05-20 3 3: 2 B 2015-01-01 2014-05-20 4 4: 2 B 2014-01-01 NA NA Basically, aDT left join bDT based on col1, col2 and ExtractDate >= date_pol, only