![]() See OSS note 1291845ĭD: No Filtering of BIDI Formatting Characters: More details.ĭD: Flag for Deactivating Input History in Screen Field: More details. ![]() Choose the Copy to Inventory Posting button. Open an existing inventory counting document for which you want to do inventory posting, with counting results filled in. Maybe useful for digit based data such as phone numbers which may be un-readable using RTL direction. From the SAP Business One Main Menu, choose Inventory Inventory Transactions Inventory Counting Transactions Inventory Counting. 140Payment Draft, 157Payment Wizard, 182Bill of Exchange Transaction, 24Incoming Payment, 25Deposit, 29Journal Vouchers List, 30Journal Entry, 42Bank Statement, 46Vendor Payment, 76Postdated Check Deposit. If this flag is set the field content is always displayed using the left to right writing direction, even if the write direction of the screen/user is right to left. Not relevant as this field is an Elementary Domain Type rather than a reference type.ĭD: Is a generated proxy object: More details.įorce write direction to be LTR: More details. ) associates this field with the underlying ABAP function modules that perform the conversion.ĭomain contains fixed values: More details.Ĭategory of Dictionary Type: More details. Only valid for floating point,Quantity, Decimal and Currency data typesĬonverts the field value between the display and internally stored format. Number of Decimal Places: More details.Īllow lowercase letters or NOT: More details.Īs this is set to No all text stored within a field associated with domain STYPE will be converted to uppercase irrespective of case entered by the user.įield contains negative values: More details.īasically saves the first position of the field so that a + or -sign can be displayed when output. Name of a search help parameter: More details.ĭefault name for components using the data element: More details.ĭata Type in ABAP Dictionary: More details. SDIC: Reserve for data elements (not used): More details.įlag for private DD objects (not used): More details. Original Language in Repository objects: More details. Start of activation or activation successfulĪpplication class for DD objects (not used): More details. length for long field label: More details. length for medium field label: More details. The following table lists abbreviations and their meanings for the transaction types that exist in SAP Business One. length for short field label: More details. WHEN A.Transtype 18 then A/P Invoice WHEN A.Transtype 10000071 then. Group By T0.CardCode, T0.Maximum length of heading: More details. Previous FD01 and FB70 custom fields using SAP PS Characteristics and Fields. LEFT JOIN dbo.JDT1 T2 ON T2.ShortName = T0.CardCode AND Year(T2.ĭuedate) = 2018 AND T2.TransType in ('13','14') LEFT JOIN dbo.JDT1 T1 ON T1.ShortName = T0.CardCode AND Year(T1.ĭuedate) = 2017 AND T1.TransType in ('13','14') ((SUM(T1.Debit) - sum(T1.Credit))/12) AS '2017 Average Sales', The type of document that triggered the current journal entry. Why pull transaction details from the General Ledger?Īll transactions end up in the General Ledger, so it is the most reliable source for queries where you want to ensure the numbers are accurate. Customers running SAP Business One version for SAP HANA, should refer to this post on the differences between SQL Server and HANA.This data is being pulled from the Journal Entry tables in SAP Business One, which are part of the General Ledger.My query was written using sample data and is designed to compare data from 2017 with 2016, so you will likely want to edit the years to meet your requirements. 140Payment Draft, 157Payment Wizard, 182Bill of Exchange Transaction, 24Incoming Payment, 25Deposit, 29Journal Vouchers List, 30Journal Entry, 42Bank Statement, 46Vendor Payment, 76Postdated Check Deposit. ![]() You can use this query with the built-in SAP Business One Query Tools. To help you get started, I have drafted the sample query below. Using a Query to Access Your SAP Business One Data From there, you can visualize and analyze the data using Microsoft Excel or Power BI, SAP Analytics solutions, or other solutions like Tableau. This fundamental analysis of whether sales are trending up or down is often the starting point for discovering important insights that shape your path forward.įor SAP Business One customers running on Microsoft SQL Server, the easiest way to begin this analysis is to extract the relevant data through a SQL query. For many businesses, one of the foremost reporting needs is to measure monthly sales throughout the year and compare those results to the previous year.
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