Introduction
In my previous article we are going to combined
read two CSV file and making grouping and finding the total quantity of Item.
Azure Data
Lake – U-SQL – Using Wildcard or Virtual Columns
http://sqlknowledgebank.blogspot.in/2018/02/azure-data-lake-u-sql-using-wildcard-or.html
http://sqlknowledgebank.blogspot.in/2018/02/azure-data-lake-u-sql-using-wildcard-or.html
Another
article that I create database, schema and table object.
Azure Data
Lake – U-SQL – Creating Database and DB Object
http://sqlknowledgebank.blogspot.in/2018/02/azure-data-lake-u-sql-creating-database.html
http://sqlknowledgebank.blogspot.in/2018/02/azure-data-lake-u-sql-creating-database.html
Now it is
the time to combine them both. Hope it will be interesting.
Scenario
Here we are going to combine a CSV file with a
Database Table object. I mean to say that joining a CSV file with Database
table object and retrieve some common information from both the CSV file and
Table object.
U-SQL
to Join
USE DATABASE MyUSQLDb; // DATABASE keyword is optional
USE SCHEMA AbcPvtLtd; // SCHEMA keyword is
required for schemas
@searchlog =
EXTRACT ItemCode int,
ItemName string,
Qty int,
filename string
FROM "C:/Users/Joydeep/AppData/Local/USQLDataRoot/Input-1/{filename:}.csv"
USING Extractors.Csv();
@filtering =
SELECT a.ItemCode, b.ItemName, b.Total, a.ItemRate
FROM ItemRate AS a
INNER JOIN
(
SELECT ItemCode,
ItemName,
SUM(Qty) AS Total
FROM @searchlog
GROUP BY ItemCode, ItemName
) AS b ON a.ItemCode == b.ItemCode;
OUTPUT @filtering
TO "C:/Users/Joydeep/AppData/Local/USQLDataRoot/output/Output-1/Result.csv"
USING Outputters.Csv();
Job Graph:
Type of
Join
U-SQL supports a number of join types – some may well be
familiar to you, others may not.
ü INNER
JOIN
ü FULL
OUTER JOIN
ü LEFT
OUTER JOIN
ü RIGHT
OUTER JOIN
ü CROSS
JOIN
ü LEFT
SEMIJOIN
ü RIGHT
SEMIJOIN
ü LEFT
ANTISEMIJOIN
ü RIGHT
ANTISEMIJOIN
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