Feature OData v2 OData v4 Release Year 2010 2014 (OASIS Standard) Standardization Microsoft proprietary Official OASIS and ISO standard Data Format Atom (XML) and JSON (limited) Optimized JSON (no Atom), cleaner structure Metadata Format CSDL in XML CSDL in XML and JSON Navigation $expand (basic support) Improved $expand with deeper levels Actions/Functions Limited Fully supported, standardized Enum Support Not available Supported Containment Not supported Supported (better ...
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An EntityType defines the structure of an entity in OData. It specifies the entity’s properties (like fields/columns), key fields, and relationships. Think of it like a class or schema that describes the shape of data within an EntitySet. <EntityType Name=”Product”> <Key>
Feature REST OData Definition Architectural style for web services A protocol based on REST for querying and updating data Standardization Not strictly standardized Fully standardized (by OASIS and ISO) Query Support Limited or custom Rich query support via URL options ($filter, $select, etc.) Metadata Not provided by default Automatically exposes metadata ($metadata) Data Format Typically JSON ...
SAP R/3 is based on a 3-tier client-server architecture, which separates presentation, application, and database layers. This design provides scalability, flexibility, and better performance. Three-Tier Architecture: 1. Presentation Layer (Client Tier) Interface between the user and SAP system Usually a SAP ...
Table Delivery Classes define how a table is delivered by SAP, and how data in that table is handled during client copies, upgrades, and transports. Every table in SAP must have a delivery class, and it’s set in SE11 under ...
Buffering in SAP refers to storing table data in application server memory to reduce repeated database access. It enhances performance by retrieving frequently accessed data from memory instead of querying the database every time. Why Buffer Tables? Speeds up data ...
The Enhancement Category in SAP defines how a structure or table can be enhanced with custom fields by a developer or customer without breaking system integrity or compatibility. In SE11, when you create or display a table or structure, under the ...
Feature Transparent Table Pooled Table Cluster Table Physical Mapping 1:1 Many:1 Many:1 Data Compression No No Yes (compressed) Used For All-purpose Customizing data Related business data Supported in HANA? ✅ Yes ❌ No ❌ No Note: Pooled and Cluster tables are no longer supported in ...
In SAP, pooled tables are a type of database table used to store data from multiple internal tables (called logical tables) within a single physical table in the database. Pooled tables help in reducing the number of database objects and ...
You can build a new internal table with only selected entries and fields like this: *&---------------------------------------------------------------------* *& Report ZREP_LCLCLASS *&---------------------------------------------------------------------* *& Demonstrates modern ABAP syntax: REDUCE, FILTER, FOR expressions *&---------------------------------------------------------------------* REPORT zrep_lclclass. *---------------------------- * Example 1: REDUCE Operator *---------------------------- TYPES: BEGIN OF ty_order, id TYPE i, amount TYPE i, END OF ty_order. DATA: lt_orders TYPE STANDARD TABLE OF ty_order WITH EMPTY KEY, lv_total TYPE i. lt_orders = VALUE #( ( id = 1 amount = 100 ) ( id = 2 amount = 250 ) ( id = 3 amount = 150 ) ). lv_total = REDUCE i( INIT sum = 0 FOR order IN lt_orders NEXT sum = sum + order-amount ). WRITE: / '--- REDUCE Example ---', / 'Total Amount:', lv_total. *---------------------------- * Example 2: FILTER Operator *---------------------------- TYPES: BEGIN OF ty_user, name TYPE string, status TYPE string, END OF ty_user. DATA: lt_users TYPE STANDARD TABLE OF ty_user WITH EMPTY KEY, lt_active_users TYPE STANDARD TABLE OF ty_user WITH EMPTY KEY. lt_users = VALUE #( ( name = 'Alice' status = 'ACTIVE' ) ( name = 'Bob' status = 'INACTIVE' ) ( name = 'Charlie' status = 'ACTIVE' ) ). lt_active_users = FILTER #( lt_users WHERE status = 'ACTIVE' ). WRITE: / '--- FILTER Example ---'. LOOP AT lt_active_users INTO DATA(user). WRITE: / user-name, user-status. ENDLOOP. *------------------------------------------------------ * Example 3: FOR Expression - Extract Specific Fields *------------------------------------------------------ DATA: lt_names TYPE STANDARD TABLE OF string WITH EMPTY KEY. lt_names = VALUE string_table( FOR user IN lt_users WHERE ( status = 'ACTIVE' ) ( user-name ) ). WRITE: / '--- FOR Expression Example ---'. LOOP AT lt_names INTO DATA(name). WRITE: / name. ENDLOOP. This creates a new string table containing only the names of users whose status = 'ACTIVE'—short, clean, and readable. Output: — ...