Can i load into a derived measure?

Some of the measures in the model I'm building some of the measures are initialized with quantities loaded from an external system on the first load and after that become derived. Are there known issues with loading into derived measures?

You can have a formula in a loaded measure. This is how the system works.
1. First load happens
2. Then calculation happens using the formula -- but formula can never override a loaded value as special bits are set to identify loaded and user-input values.
Effectively, you can pick your spots and load values there and rest of the places formula kicks in.
This is typically the case in the inventory -- where we load values in current week and rest of the weeks we calculate using formulas.
As time moves forward, different weeks become current and load happens there.
Back to original question -- actually you dont load into derived measure, but you write measure formula for a loaded measure -- other way around. It surely works and very commonly used.

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    '1' : Input on
    Description of Data Type soi_dimension_table
    You can use an internal table with this type to identify a range by specifying the coordinates of its top left-hand corner, its length, and its width. The lines of soi_dimension_table have the line type soi_dimension_item .
    Structure soi_dimension_item
    Field
    Type
    Decription
    top
    I
    Topmost row of the range
    left
    I
    Leftmost column of the range
    rows
    I
    Number of rows
    columns
    I
    Number of columns
    Term
    Definition
    Board
    A tabbed area in the workspace used to manipulate the model and its elements: Design board, Layout board and Source board.
    Characteristic
    A type of InfoObject in SAP BI systems that provides a classification such as company code, product, customer group, fiscal year, period, or region. Related to the OLAP-standard term dimension.
    Component
    A reusable model element, such as a UI component or a data service.
    Cube
    A set of data organized as a multidimensional structure defined according to dimensions and measures.
    Related SAP BI terms include InfoCube and query.
    Data binding
    A connection between two UI components (or between a web service and a UI component) that channels identical data from the output port of one UI component to the input port of the other UI component.
    Data flow
    The means by which data is channeled between a data service and connected UI components, or between two UI components whose connection was changed from Data binding to Data flow.
    Data mapping
    Connection between two model elements, describing, for example, the data that is input to an element or the fields that are output from another element.
    Data service
    Any function call, business object or query imported into the model. At runtime, the data service is called and returns results.
    Data store
    A central data container where data of a model can be temporarily stored for future use.
    Dimension
    In OLAP-standard systems:
    A collection of similar data which, together with other such collections, forms the structure of a cube. Typical dimensions include time, product, and geography. Each dimension may be organized into a basic parent-child hierarchy or, if supported by the data source, a hierarchy of levels.  For example, a geography dimension might include levels for continent, country, state, and city.
    The related term in SAP BI systems is characteristic.
    In SAP BI systems:
    A grouping of those evaluation groups (characteristics) that belong together under a common superordinate term.
    With the definition of an InfoCube, characteristics are grouped together into dimensions in order to store them in a star schema table (dimension table).
    Element
    A general term indicating any item used to create a model, including: components, connectors and operators.
    Enterprise service
    A Web service defined to perform functions of an SAP system. Web services are published to and stored within a repository.
    Field
    An element of a table that contains a single piece of data. Fields are organized into rows, which contain all the data relevant for one specific entry in the table.  In some databases, field is a synonym for column.
    Filter
    A set of criteria that restricts the set of records returned as the result of a query. With filters, you define which subset of data appears in the result set.
    Hierarchy
    A logical tree structure that organizes the members of a dimension into a parent-child relationship. If supported by the data source, the hierarchy consists of levels, where the top level is an aggregate of all members and each subsequent level has zero or more child members.
    InfoArea
    An element for grouping meta-objects in the Business Information Warehouse. Each InfoProvider is assigned to an InfoArea. The resulting hierarchy is displayed in the Administrator Workbench.
    InfoCube
    An SAP BI system that consists of a quantity of relational tables created according to the star schema: a large fact table in the center, with several dimension tables surrounding it. It provides a self-contained dataset which can be used for analysis and reporting.
    Similar to the OLAP-standard term cube.
    InfoObject
    A business evaluation object (for example, customer or quantity) in SAP BI systems. Types of InfoObjects include characteristics, key figures, units, time characteristics, and technical characteristics (such as request numbers).
    JDBC
    Java Database Connectivity, which provides an API that lets you access relational databases using the Java programming language. This enables connectivity to a wide range of SQL databases, and also provides access to tabular data sources such as spreadsheets or flat files. The BI JDBC Connector accesses data from JDBC-compliant systems.
    Join
    A relationship between two tables that produces a result set that combines their contents. You create a join by indicating how selected fields in one table are related to selected fields in the other table.
    Key figure
    A value or quantity in SAP BI systems. Related to the OLAP-standard term measure. You may also define calculated key figures, which are derived using a formula.
    Layer
    A collection of UI elements that are all visible at the same time at runtime.
    Level
    A set of nodes (members) in a tree hierarchy in supporting data sources that are at the same distance from the root of the tree. For example, in a geography hierarchy, the top level might be all places, the second level might be continents, the third level might be countries, and the fourth level might be cities.
    MDX
    Multidimensional Expressions, a query language used to retrieve and manipulate multidimensional data.
    Measure
    One category of values – usually numeric – used to define a cube. These values are derived from one or more columns in the cube's fact table and are the basis for aggregation and analysis.
    Related SAP BI terms include key figure and structure element.
    Member
    An element of a dimension that represents one or more occurrences of data. A member can be unique (it occurs only once) or non-unique (it may occur more than once in its dimension).  For example, in a geography dimension that includes cities in the US, the member Portland could be non-unique, since there is a city called Portland in the state of Oregon and in the state of Maine.
    In SAP BI systems, members are referred to as instances of characteristics.
    Model
    An object created in Storyboard. Models may contain packages, pages, iViews and any other model elements.
    Multidimensional data
    Data in dimensional models suitable for business analytics. In this documentation, we use the term multidimensional data synonymously with OLAP data.
    Navigation line
    A connection that provides event annotation, running between model layers. The source element raises the event that can be handled by the connected element. By default, a navigation line is curved.
    ODBO
    OLE DB for OLAP – Microsoft’s set of objects and interfaces that extend the ability of OLE DB to provide access to multidimensional data sources on the Windows platform. Providers of OLAP data can implement the interfaces described with OLE DB for OLAP to allow all OLAP clients to access their data. The BI ODBO Connector accesses data from ODBO-compliant systems.
    OLAP
    Online analytical processing – a system of organizing data in a multidimensional model that is suitable for decision support. SAP BI systems are OLAP systems.
    Operation
    A functionality provided by a Web service.
    Operator
    A mechanism used to manipulate data returned from the data service before it is displayed in the iView.
    Package
    A high-level “container”; it can contain any number of pages, iViews or other packages.
    Port
    A defined point of interface into and out of a component.
    Query
    In SAP BI systems, a collection of selected characteristics and key figures (InfoObjects) used together to analyze the data of an InfoProvider. A query always refers exactly to one InfoProvider, whereas you can define as many queries as you like for each InfoProvider.
    Query view
    In SAP BI systems, a view of a query after navigation, saved in an InfoCube. You can use this saved query view as a basis for data analysis and reporting.
    Relational database
    A repository for typically large amounts of information, structured in accordance with the relational model, in tables with columns. A relational database is created and administered by a relational database management system (RDBMS).
    Row
    A set of fields within a table that contains the data for one specific entry in the table. Each row in a given table has the same structure, predefined for a particular table. In some databases, row is a synonym for record.
    SAP Query
    A component that allows you to create custom reports without any ABAP programming knowledge. The BI SAP Query Connector uses SAP Query to access data from such SAP operational applications.
    Storyboard
    The Visual Composer client from which you design models.
    Table
    A set of rows, also known as a relation. The table is the central object of the relational model.
    Task panel
    A work area of the Visual Composer Storyboard desktop that displays a specific set of tools for building a model.
    Toolbar
    The horizontal row of buttons under the main menu (main toolbar) or the vertical row of buttons in the task panel (task-panel toolbar).
    Toolbox
    A set of board-specific tools that assist in performing tasks in the Visual Composer workspace.
    Value help
    The offering, typically in a pop-up dialog box, of possible valid values for an input field. Also known as input help, selection help, or F4 help.
    Web service
    An interface between two or more software applications that is implemented with the industry standards SOAP, WSDL and UDDI.
    Workspace
    The main grid area of Visual Composer that displays the model as it is built and modified. The workspace consists of boards.
    XMLA
    XML for Analysis, an XML-messaging-based protocol specified by Microsoft for exchanging analytical data between client applications and servers (for example, OLAP providers) using HTTP and SOAP as a service on the Web. The BI XMLA Connector accesses data from XMLA-compliant systems.
    Clustering allows you to save sorted data records in the fact table of an InfoCube. Data records with the same dimension keys are saved in the same extents (related database storage unit). This means that same data records are not spread across a large memory area and thereby reduces the number of extents that the system has to read when it accesses tables. This greatly accelerates read, write and delete access to the fact table.
    Prerequisites
    Currently the function is only supported by the database platform DB2 for Linux, UNIX, and Windows. You can use partitioning to improve the performance of other databases. For more information, see Partitioning.
    Features
    Two types of clustering are available: Index clustering and multidimensional clustering (MDC).
    Index Clustering
    Index clustering organizes the data records of a fact table according to the sort sequence of an index. Organization is linear and corresponds to the values of the index field.
    If a data record cannot be inserted in accordance with the sort sequence because the relevant extent is already full, the data record is inserted into an empty extent at the end of the table. For this reason, the system cannot guarantee that the sort sequence is always correct, particularly if you perform many insert and delete operations. Reorganizing the table restores the sort sequence and frees up memory space that is no longer required.
    The clustering index of an F fact table is, by default, the secondary index in the time dimension. The clustering index of an E fact table is, by default, the acting primary index (P index).
    As of release SAP BW 2.0, index clustering is standard for all InfoCubes and aggregates.
    Multidimensional Clustering (MDC)
    Multidimensional clustering organizes the data records of a fact table in accordance with one or more fields that you define freely. The selected fields are also marked as MDC dimensions. Only data records that have the same values in the MDC dimensions are saved in an extent. In the context of MDC, an extent is called a block. The system can always guarantee that the sort sequence is correct. Reorganizing the table is not necessary, even with many insert and delete operations.
    Block indexes from within the database, instead of the default secondary indexes, are created for the selected fields. Block indexes link to extents instead of data record numbers and are therefore much smaller. They save memory space and the system can search through them more quickly. This accelerates table requests that are restricted to these fields.
    You can select the key fields of the time dimension or any customer-defined dimensions of an InfoCube as an MDC dimension. You cannot select the key field of the package dimension; it is automatically added to the MDC dimensions in the F fact table.
    You can also select a time characteristic instead of the time dimension. In this case, the fact table has an extra field. This contains the SID values of the time characteristic. Currently only the time characteristics Calendar Month (0CALMONTH) and Fiscal Year/Period (0FISCPER) are supported. The time characteristic must be contained in the InfoCube. If you select the Fiscal Year/Period (0FISCPER) characteristic, a constant must be set for the Fiscal Year Variant (0FISCVARNT) characteristic.
    Clustering is applied to all the aggregates of the InfoCube. If an aggregate does not contain an MDC dimension of the InfoCube, or if all the InfoObjects of an MDC dimension are created as line item dimensions in the aggregate, the aggregates are clustered using the remaining MDC dimensions. Index clustering is used for the aggregate if the aggregate does not contain any MDC dimensions of the InfoCube, or if it only contains MDC dimensions.
    Multidimensional clustering was introduced in Release SAP NetWeaver 2004s and can be set up separately for each InfoCube.
    For procedures, see Definition of Clustering.
    Screen capture input to SAP Business Graphics must adhere to certain format rules in order to be recognized correctly.
    SAP Business Graphics assumes that your screen data resembles the basic SAP table structure. This structure is somewhat flexible, but the table must obey the format rules listed in this section.
    Restrictions on the Format of the Data
    If you use the screen capture facility to input graphics data, the input table can contain either a single list of values, or rows and columns. If the data is a single list, you can include the values themselves and labels for each value. If the data has rows and columns, you can include a label for each row, a label for each column, and the table values themselves.
    You cannot use the screen capture facility to input data in multiple tables. If you want to graph data occurring in multiple tables, you must write the input values to a file using ABAP programming tools. See SAP Graphics: Programming Interfaces for more information.
    Format Rules for Numerical Values
    Numerical values must obey the following rules:
    Within a numerical value, the screen capture recognizes only the minus sign (hyphen), the comma, and the decimal point (period) as legitimate punctuation. Exponential notation and other variations are not recognized.
    Note that the functions of the period and the comma in the English system are exactly opposite to their functions in some European systems. If your numbers are not being interpreted correctly, check with the system administrator to determine how these characters should be used.
    The minus sign must occur after the number, with no intervening spaces.
    All numbers in a row must be separated by spaces.
    A column of numbers is right-justified and identified by the position of its right-most character. Each number belonging to this column must have its right-most character in the correct position.
    If you have values partially or entirely out of alignment with the given right-most character position, they will not be interpreted as belonging to the proper column. In most cases, the screen capture program assumes these are values for an entirely new column.
    You may leave out values for a given row or column.
    Format Rules for Text Strings
    You can include labels in the table to name the rows and columns. You can also provide a title for the set of rows, for the set of columns, and for the graph as a whole.
    SAP Business Graphics does not accept more than 32 elements per dimension. As a result, you cannot have more than 32 rows or 32 columns in your table.
    Any string of characters not identifiable as a number is assumed to be a label. Labels may occur at the beginnings of a row, at the head of a column, as a title for the rows or columns, or as the graph main title. A non-numeric item placed in among the data values is ignored by the graphics program.
    A legitimate number occurring where a label should be is interpreted as a number. If you want to use labels that look like numbers, you must modify them to contain at least one non-numeric character.
    Placement of labels for row-names or column-names:
    Row-names can occur only at the beginning (left side) of a row.
    Column-names should line up above the columns they are heading, but do not necessarily need to begin in the same column. They should be separated by at least two spaces.
    If you don't adhere to these requirements, the screen capture program attempts to pick out the labels anyway. However, the results may not be what you expect. (Check the selection bars in the Selection view to see if your headers were correctly identified.)
    Placement of titles for rows or columns as a set:
    The title for the rows as a set should be placed directly above the column of row-names.
    The title for the columns as a set should occur directly above the first of the column-names, and begin in exactly the same position.
    The main title for the graph should occur in the very first line of the highlighted area. If you have more text there than just the title, the screen capture program attempts to pick out the string in the center of the line. The longest string in the center of the line separated from other text by double spaces is assumed to be the title.
    The maximum length for a text string cannot be specified exactly since this depends on the size of your window, the resolution of your monitor, and other factors.
    Many strings too long for a small window are displayed correctly when you enlarge the window to full-screen size. In general, you must experiment to find the optimal length for text strings.

  • Error regarding data load into Essbase cube for Measures using ODI

    Hi Experts,
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    We are having a similar problem. We're using the IKM SQL to Hyperion Essbase (DATA) knowledge module. We are mapping the actual data to the field called 'Data' in the model. But it kicks everything out saying 'Unknown Member [Data] in Data Load', as if it's trying to read that field as a dimension member. We can't see what we missed in building the interface. I would think the knowledge module would just know that the Data field is, um, data; not a dimension member. Has anyone else encountered this?
    Sabrina

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