Category "join"

Impala compare consecutive rows and insert identical row if there are no values

I have a table that gives me data every month and I need that range of time. I noticed that sometimes I don't have data for 3/4 month but I need to duplicate th

Join tables on dates, with dirty date field

In AWS Athena, I am trying to join two tables in the db using the date, but one of the tables (table2) is not clean, and contains values that are not dates, as

Join Kinesis Streams

I have two Kinesis streams and I would like to create a third stream that is the intersection of these two streams. My goal is to have a stream processor respon

return the row where before and after value is lower

I have a table that looks like this: name val 1 1 2 2 3 1 4 2 5 2 6 10 For each row,

pandas non equi join in range

I need to do 'pandas non equi join', when first table joined with second table in range. first_table EMPLOYEE_ID SALARY 100 3000.00 101 17000.00 102

How to join two tables using a comma-separated-list in the join field

I have two tables, categories and movies. In movies table I have a column categories. That column consists of the categories that movie fits in. The categories

PostgreSQL Nested Loop Join Performance

I have two tables exchange_rate (100 Thousand Rows) and paid_date_t (9 million rows) with below structure. "exchange_rate"

MYSQL not getting the sum zero values (having no entries of that id) against distinct id of another table

SELECT d.millid, d.bookno, d.partyname, d.count, d.counttype, d.orderqty, d.dispqty, d.pending from ( SELECT b.millid, b.count, b.counttype, b.bookno,

SQL using table from join in subqueries

I am writing a query to be used as databases view, it looks now like this: SELECT contact.*, contact_users.names AS user_names, contact_status.status_

Rationale of Rails 5 Join Table Generated Defaults

The Rails 5 command rails g migration create_foo_bar_join_table generates the following migration: class CreateFooBarJoinTable < ActiveRecord::Migration[5.0]

compare two tables having same column name but different date column names

I have table A id1 dt x1 2022-04-10 a2 2022-04-10 a1 2022-04-10 x1 2022-05-10 x2 2022-04-10 y2 2022-04-10 y1 2022-05-10 x1 2022-06 -10 Table B id1 dt a1 2022

How to do a Join and a Loop corectly using R

I have two sets of data that have a column mean_wage in common, but they are described differently. First one as 1 (wage), 2, 2.4 ... and the other one as 1256.

Join two dataframes using the closest timestamp pyspark

So I am very new to pyspark but I am still unable to correctly create my own query. I try googling my problems but I just don't understand how most of this work

Joining two tables and getting values

I have two config tables. The structure is as below: Table 1: Client_Config id, name, value, type, description Table 2: App_Config name, value, type, descript

ORA-22806 (not an object or REF) on Join to a view

Here is a fairly simple query that is throwing this error: SELECT RR.REQUEST_ID FROM CCS_REQUEST_RESPONSE RR INNER JOIN VW_STUDENT_CURRENT_AND_HIST VW ON RR.S

data.table join with date

hello im trying to extract some id with a group and Date in range > d1 id group Date 1: 1 A 2017-07-02 2: 2 A 2017-07-04 3: 3 A

Postgres Subquery - How to create ALIAS in object format from subqueries

I am trying to wrap several queries into 1 complex query. Here is the scenario. Given a user_id of 'xxxxx-xx-xxxxx' I have to query for several data points with

How to select all fields from one table that contain a substring from any row in another column

I'm trying to export a dictionary of words in sqlite made up only of words that start with, contain, or end with specific filters. If one filter was 'ment' and

pandas: merge (join) two data frames on multiple columns

I am trying to join two pandas data frames using two columns: new_df = pd.merge(A_df, B_df, how='left', left_on='[A_c1,c2]', right_on = '[B_c1,c2]') but got

Using SQL to join tables with a junction table

I am trying to output data from 2 different tables in my database which are joined by a junction table. Table 1: musician Columns: musicianID, surname, fName