left-join

问题 I've been practicing and learning wrangling R data frames with columns that contain lubridate data types, such as an example problem in my other question. Now, I am trying to do the equivalent of joining two data frames, but joining them by whether one timestamp in one data frame falls within an interval in the other data frame. For example: This is df1 : > glimpse(df1) Observations: 6,160 Variables: 4 $ upload_id <int> 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, ... $ site_id

问题 I have a SQL query that refers to the same table twice, and I need to alias the table to two separate aliases. I can't quite figure out how to compose this with Knex. There's a 'Words' table and a 'Users' table. The Words table has two foreign keys, 'author_id' and 'winner_id', referencing the Users table's 'id' column. Here's the SQL I'm trying to compose in Knex: SELECT w.*, ua.name, uw.name FROM Words AS w INNER JOIN Users AS ua ON w.author_id = ua.id LEFT JOIN Users AS uw ON w.winner_id =

问题 A while I have posted an answer to this question PostgreSQL multiple criteria statement. Task was quite simple - select values from one table if there is no corresponding value in another table. Assuming we have tables like below: CREATE TABLE first (foo numeric); CREATE TABLE second (foo numeric); we would like to get all the values from first.foo which doesn’t occur in the second.foo . I've proposed two solutions: using LEFT JOIN SELECT first.foo FROM first LEFT JOIN second ON first.foo =

问题 I have two tables one of it is LEAGUE, another is MATCH , in MATCH table there is a column as refLeague now I want to get total matches of week For example Id TotalMatches -- ------------ 1 12 2 0 3 6 If there is no match, I want to write 0 as table SELECT l.Id ,COUNT(m.Id) as TotalMatches FROM LEAGUE l LEFT JOIN MATCH m ON l.Id = m.refLeauge WHERE m.MatchDate >= DATEADD(dd, DATEDIFF(dd, 1, GETDATE()) / 7 * 7 + 1, 0) AND m.MatchDate < DATEADD(dd, DATEDIFF(dd, -6, GETDATE())/7 * 7 + 1, 0) AND

问题 I have two tables one of it is LEAGUE, another is MATCH , in MATCH table there is a column as refLeague now I want to get total matches of week For example Id TotalMatches -- ------------ 1 12 2 0 3 6 If there is no match, I want to write 0 as table SELECT l.Id ,COUNT(m.Id) as TotalMatches FROM LEAGUE l LEFT JOIN MATCH m ON l.Id = m.refLeauge WHERE m.MatchDate >= DATEADD(dd, DATEDIFF(dd, 1, GETDATE()) / 7 * 7 + 1, 0) AND m.MatchDate < DATEADD(dd, DATEDIFF(dd, -6, GETDATE())/7 * 7 + 1, 0) AND

问题 Table A structure: Table B structure: Above are two tables, TableB.TableARelationID is a relationID which used to map table A. Desired output: The desired result would be taking TableA.RecordID and TableB.Text, but only of Type 2 in table B, i.e. ignore Type 1 Below is the SQL query which I used: SELECT tablea.recordid, tableb.text FROM tablea LEFT JOIN tableb ON tablea.relationid = tableb.tablearelationid WHERE type = 2 But the above query would output: i.e. RecordID 1 was missing, as the

问题 Table A structure: Table B structure: Above are two tables, TableB.TableARelationID is a relationID which used to map table A. Desired output: The desired result would be taking TableA.RecordID and TableB.Text, but only of Type 2 in table B, i.e. ignore Type 1 Below is the SQL query which I used: SELECT tablea.recordid, tableb.text FROM tablea LEFT JOIN tableb ON tablea.relationid = tableb.tablearelationid WHERE type = 2 But the above query would output: i.e. RecordID 1 was missing, as the

问题 I have two tables that I'm trying to join for customers that are going through a process. All customers get to step one, but only some progress to step two (table 2). Customers may start this process more than once at different times, and may get to step two in none, one, or many months. I'd like to know how many make this progression. Tables as an example: Table_1 Cust1 1-Jan Cust2 10-Jan Cust3 15-Jan Cust1 2-Feb Table_2 Cust1 5-Jan Cust2 16-jan My query to return results is: SELECT t1.Cust,

问题 I have two tables that I'm trying to join for customers that are going through a process. All customers get to step one, but only some progress to step two (table 2). Customers may start this process more than once at different times, and may get to step two in none, one, or many months. I'd like to know how many make this progression. Tables as an example: Table_1 Cust1 1-Jan Cust2 10-Jan Cust3 15-Jan Cust1 2-Feb Table_2 Cust1 5-Jan Cust2 16-jan My query to return results is: SELECT t1.Cust,

问题 I'm trying to display in a table (with data tables plugin) informations with sum from 3 tables using Left Join in sql query. I succeeded to edit server-side query and display correct datas with first jointure between two tables (t1=...budget & t2=..budget_changes) using the following query : $year=date('Y'); $sQuery = "SELECT SQL_CALC_FOUND_ROWS ".str_replace(" , ", " ", implode(", ", $aColumns)).", IFNULL(SUM(t2.change_amount),0) AS operation_changes, (t1.operation_BP+IFNULL(SUM(t2.change