#SIMPLYFATT WINDOWS#
(FatturaElettroncia) risolto un problema su Windows di richiamo del codici SDI impostati nell’anagrafica clienti.(FatturaElettroncia) risolto problema che causava lo scarto delle N.C.(FatturaElettronica) risolto un problema di invio delle fatture verso la P.A.(FatturaElettroncia) aggiunto il campo Nazione nelle Preferenze-Fattura Elettronica utile per i soggetti esteri che hanno rappresentante fiscale italiano.(FatturaElettroncia) aggiunta la possibilità di leggere e vedere le fatture elettroniche passive semplificate.(FatturaElettroncia) nello stato delle fatture di acquisto viene indicata la data di ricezione della fattura da SDI.(FatturaElettronica) Aggiunto nel menù Fattura Elettronica il comando Importa File XML Fatture Passive per importare rapidamente il file XML delle fatture elettroniche passive.It takes a few steps to give easy access to all documents necessary for the conduct of its business and control deadlines, payments, inventory and sales statistics, and purchase.
#SIMPLYFATT SOFTWARE#
Hence, helps to fasten up analysis and reporting.SimplyFatt is a simple and practical management software suitable for managing small and medium-sized business. This is very helpful in summarizing data along with multiple axes. SQL CUBE is metadata which is used to group data along more than one column. The above example is to illustrate the joining of more than one table in the SQL CUBE query. SELECT COUNT(DISTINCT e.employeeid),d.departmentname,e.city, t.status We can remove the first NULL values by using a HAVING clause in the same query.įind the number of employees in each department(with department name in the resulting set), city and the status of the project completed by them. In the above example, we illustrated the use of the ORDER BY clause in the SQL CUBE query. ORDER BY sum(e.salary)DESC ,d.departmentname ASC WHERE e.city = 'Manhattan' OR e.city = 'Oslo' SELECT sum(e.salary),d.departmentname, city Summarize the salaries of employees from Manhattan and Oslo along with each department(with department name in the resulting set) ordered by salaries and departmentname. The above example is to demonstrate, use of JOINS in SQL cube query. SELECT sum(salary),d.departmentname, cityįROM employees as e INNER JOIN department as d Summarize the salaries of employees along with each department(with department name in the resulting set) and city. Summarize the salaries of employees along with each department and city. The above example illustrates the use of the WHERE clause in the CUBE query.
SELECT COUNT(DISTINCT employeeid), departmentid, salary Example #2įind the number of distinct employees in each department grouped by their salaries earning a salary between 1200. In the above example, we have tried to find the count of employees along with each department and city. SELECT COUNT(DISTINCT employeeid), departmentid, city SQL Query to illustrate the basic functionality of CUBE. Given below are the examples of CUBE in SQL: Example #1 The data in the “tasks” table look something like this: taskid The data in the “employees” table is as follows: employeeid The data in the “department” table look something like this: departmentid tasks (contains details and status of projects).department ( contains details like department id, name, and its hod).employees (contains personal details of all the employees).In order to understand the concept better, we will take the help of three tables. You may use JOINS, WHERE, ORDER BY AND HAVING clauses based on your requirement Of the above-mentioned parameters, all the parameters are mandatory. Specify the same column names which you have mentioned in the SELECT statement. CUBE(column_name1,column_name2,column_name3): It is used to group data along with multiple axes. GROUP BY: It is used to group rows, having similar values into summary rows.ħ. FROM: It is used to specify the source from which data has to be fetched.Ħ. column_name1, column_name2, column_name3: Specify the column names along with which the group sets will be made.ĥ. column_name: Specify the column name on which aggregate operation will be performed.Ĥ. SELECT aggregate_function : Specify the aggregate function that will be used for summarization of data in the columns.ģ.
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