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Note: In the Logical Join, you can create a temporal join between the date field of the fact table to an interval (to and from) field of the attribute view. The temporal join has to start from the fact table such that the single column must be in the fact table and, the to and from columns must be in the table that is directly joined to the fact table. The join type must be a referential join. The supported data types are timestamp, date, and integer. Restriction: While creating joins you must ensure that a table does not appear twice in any join path (in particular a self join is not supported). A join path is the set of joins that links the fact table to other tables. While creating joins between analytic view and attribute view the same table cannot be used both in the join path of analytic view and attribute view. Also, in a join path of analytic view and attribute view, the table of the attribute view which is linked to the fact table should not have an alias table. 3. Optional Step: Create Calculated Column a) In the Output of Logical Join panel, right-click Calculated Columns. b) In the context menu, choose New. c) Enter a name and description (label) for the calculated column. d) Select a data type, and enter the length and scale for the calculated column. e) Select the Column Type to determine whether it is a calculated attribute or a calculated measure. f) If you select Calculate Before Aggregation, select the aggregation type. Note: If you select Calculate Before Aggregation, the calculation happens as per the expression specified and then the results are aggregated as SUM, MIN, MAX or COUNT. If Calculate Before Aggregation is not selected, the data is not aggregated but it gets calculated as per calculation expression (formula), and the aggregation is shown as FORMULA. If the aggregation is not set, then it will be considered as an attribute. g) In the Expression Editor enter the expression. For example, you can write a formula: if("PRODUCT" = 'ABC, "DISCOUNT" * 0.10, "DISCOUNT") which is equivalent to, if attribute PRODUCT equals the string ‘ABC’ then DISCOUNT equals to DISCOUNT multiplied by 0.10 should be returned. Otherwise the original value of attribute DISCOUNT should be used. Note: The expression can also be assembled by dragging and dropping the expression elements from the menus below the editor window. h) If you want to associate the calculated column with currency and unit of measuring quantity, select the Advanced tab page and select the required Type. i) Choose OK. Remember: Calculated Columns can be created only at the Logical Join level and not at the Data Foundation level. Note: The aggregation type for calculated columns is only taken into account, if they are calculated before aggregation 4. Optional Step: Create Restricted Columns 112 You can create restricted columns if you want to filter the value for an output field based on the user-defined rules. For example, you can choose to restrict the value for the Revenue column only for Region = APJ, and Year = 2012. P U B L I C © 2012 SAP AG. All rights reserved. SAP HANA Developer Guide Setting Up the Analytic Model
a) In the Output panel of the Logical Join, right-click Restricted Columns, and choose New. b) Enter a name and description for the restricted column. c) From the Column dropdown list, select the column for which you want to apply a restriction. Caution: The column for which you apply a restriction must be defined as measure in the semantics node otherwise the validation will fail. d) Choose Add Restriction. e) In the Parameter field, select the column that you want to create a restriction for, then select the operator and value. f) Choose OK. Note: For a restricted column the aggregation type of the base column is applied. 5. Define Attributes and Measures a) Select the Semantics node. b) In the Column panel, select the Local tab page, and change the type as attributes and measures. Note: The Shared tab page shows the attributes of the used attribute views. While generating the column views, the joined private attribute name is ignored and the shared attribute name is considered, therefore the joined private attribute is not shown on the Semantics node. Remember: If the MultiDimensional Reporting property of the analytic view is set to false, the view will not be available for reporting purposes. If the value is set to true, an additional column Aggregation is available to specify the aggregation type for measures. Note: SAP HANA Developer Guide Setting Up the Analytic Model You can choose to associate an attribute with another attribute, which describes it in detail. For example, when reporting via Label Mapping (also known as Description Mapping), you can associate Region_ID with Region_Text. Before SP05, you could associate an attribute with another attribute in a model. In the runtime object an .description column is generated and is shown during data preview. Now, from SP05 onwards the behavior is as follows: ○ For an attribute (CUSTOMER) you can now maintain label mapping by selecting another attribute (TEXT) from the same model as "Label Column" in the Semantics node. The result is "TEXT" displaying as the label column in data preview. Note that the CUSTOMER.description column is not generated and is not shown in data preview anymore. ○ If you have created an object using the old editor (which supported the old style of description mapping) and try to open it using the new editor you will see a new column CUSTOMER.description (as an attribute) which is hidden and disabled because this column cannot be used in other places such as parameter/variable, calculated column, restricted column and so on. You cannot maintain properties for this attribute for example, description. CUSTOMER.description displays in the data preview as long as you do not change it in the editor. You can change its name. After changing the name you can maintain its properties and use it like other attributes. P U B L I C © 2012 SAP AG. All rights reserved. 113
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SAP HANA Appliance Software SPS 05
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4.3.1 SAP HANA Repository Packages
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6.5.12 Searching Tables, Models and
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12.2 Authentication Overview. .....
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2 SAP HANA SAP HANA is an in-memory
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With a scanning speed of several gi
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SAP HANA greatly extends the tradit
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2.4 Refactoring SAP HANA Based Appl
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In either case, as a developer you
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For this scenario, you may need to
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Object Description File Extension M
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Committing the file saves it in the
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● Security: Contains the roles an
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The view essentially is a list of r
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Action Description ● Creates a ne
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● Debug Session: The debug sessio
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○ MODELING ○ CONTENT_ADMIN 3.5.
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4.1 Setting up Delivery Units A del
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Related Links ○ In the text boxes
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4.2.2 Creating a Repository Workspa
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3. Open the Project Explorer view.
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1. Create a package Packages are ne
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● Non-Structural Package contains
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In the New Package dialog, enter in
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Maintaining Translation Details [pa
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Note: Exposed package content can i
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Application-Access File Keyword Opt
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Note: You can disable authenticatio
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| |---2011... |---subpackage1 | |--
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You use the mime_mapping keyword to
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Page 65 and 66: 3. Select Next. 4. Enter a user nam
Page 67 and 68: In the SAP HANA Repositories view,
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Page 79 and 80: If you want to define a transportab
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Page 83 and 84: 5.9.1 Table-Import Model The table-
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Page 89 and 90: var pstatement1 = conn.prepareState
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Page 95 and 96: Requirement Preference Substeps Not
Page 97 and 98: a) Log on to the Central Management
Page 99 and 100: 4. In the Target System section, se
Page 101 and 102: Remember: Schema mapping only appli
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Page 105 and 106: ● Hierarchies Note: In the Semant
Page 107 and 108: Restriction: It is not allowed to a
Page 109 and 110: Related Links ● When you open an
Page 111: ○ Select the Data Foundation node
Page 115 and 116: Related Links Note: If an active ve
Page 117 and 118: Note: Definer's right: If you want
Page 119 and 120: Optional Step: Creating Calculated
Page 121 and 122: 4. Choose OK. Activate Note: 1. If
Page 123 and 124: a. To map the source to the target
Page 125 and 126: a. Enter a name and description. b.
Page 127 and 128: example, to calculate Discount for
Page 129 and 130: ○ Name Path - the unique node ID
Page 131 and 132: specifying target currency and dese
Page 133 and 134: ● In the Activate dialog, you can
Page 135 and 136: Note: You can also create a join be
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Page 139 and 140: ● A decision table is based on in
Page 141 and 142: Objects in edit mode in other works
Page 143 and 144: shown. You can apply a filter for p
Page 145 and 146: Type Description Calculation View G
Page 147 and 148: 3. From the context menu, choose Da
Page 149 and 150: Function Syntax Purpose hextoraw st
Page 151 and 152: Function Syntax Purpose daysbetween
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Page 159 and 160: ● CALL: Calls a procedure. For ex
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Invoker's right: If you want the sy
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The main aim of OData is to define
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The OData specification requires an
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Entity Sets This construct allows y
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● Sample JSON Output: Single Prop
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$count This request allows you to r
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● Sample ATOM and JSON Output: SA
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● Sample JSON Output: $orderby Th
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● Sample JSON Output: $top This o
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.xsodata//$inlinecount=allpages ●
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8.1.4 OData Security Considerations
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object :=['entity'] ( repoobject |
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SAP HANA SQL Type OData EDM Type Se
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An empty service metadata document
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All information about the table, fo
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OData Key Specification The OData s
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As a consequence of the transient n
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The second association is similar t
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"1" dependent "Orders"("CustomerID"
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} parameters via entity; During act
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XMLA Service-Definition Keywords Cu
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Function Description DrillDownLevel
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Function Description PrevMember Ret
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Analytic and calculation views can
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4. Place the valid XMLA service def
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The functions provided by the JavaS
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Cross-site scripting (XSS) ● Prob
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Make sure you have addressed the is
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Server-side JavaScript files have t
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Use the $.import function, as follo
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Note: A SQL connection configuratio
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8. Find the trace matching your app
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The session ID is the value of the
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10 Building UIs with SAPUI5 This se
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2. Specify the name, for example My
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// use alternative bootstrap for t
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11 Enabling Search With a SAP HANA
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Synchronization [page 240] Full tex
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) content SHORTTEXT(100) Changes to
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● Preprocessing ● Preprocessed
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Name of Option Description In most
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Column ID Key Description Data Type
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a) Delete the existing full text in
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Parameter Data Type FUZZY_SEAR CH_I
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Parameter Data Type Default (TEXT)
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The CONTAINS predicate is optional
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Limitations The SNIPPET function ha
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Fuzzy search can be used in various
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Original Letter Standardized Letter
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Option similarCalculationMode The o
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Supported Data Types Fuzzy search w
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option2=value2')) ORDER BY score DE
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Name of Option Short Name maxDateDi
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TEXT and SHORTTEXT TEXT and SHORTTE
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2. Perform the search on two column
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Rule 2 - House Numbers or House Num
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col1 NVARCHAR(20) FUZZY SEARCH MODE
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2. Country codes are standardized t
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Postcode 1 Postcode 2 Score Remarks
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WHERE CONTAINS(postcode, '1234', FU
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PHRASE is similar to AND but restri
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Tokens=input')) ORDER BY score DESC
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)) ORDER BY score DESC, id; SCORE I
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Option textSearch The textSearch op
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Fuzzy Search with Stopwords Usage S
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Stopword Example CREATE COLUMN TABL
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Stopword ltd The stopwords will not
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Column Name Type Primary Key Descri
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Only one of these errors is allowed
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2000-01-11 -> 0.96 2000-01-12 -> 0.
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This deletes the node and all its c
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Hofmann -- specifies the input valu
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SCORE ID COMPANYNAME 0.88 6 xabc 0.
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advanced customizing and layout of
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Example: http://hana1.acme.corp:800
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Along with the full text index, you
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11.3.7 Defining the Page Layout Now
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switchbox Parameter Name Default Va
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11.3.9 Defining the Layout of Resul
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12.2 Authentication Overview Authen
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Secondly, roles created as design-t
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Caution: Theoretically, a user with
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Example: role :: { catalog schema "
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12.4 Privileges SAP HANA offers var
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Authorization to update or delete n
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● Activity ● Validity ● Attri
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The SAP HANA modeler automatically
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Runtime Authorization Check of Anal
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Implications of Creating Analytic P
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Now when a database user requests a
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If you create restrictions on colum
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12.4.6 Granting Privileges to Users
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The location of the application-des
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For example, you need to plan, mana
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13.4 Importing Delivery Units Impor
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4. Download translated text to the
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14 Using Database Client Interfaces
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1. In a command line, run the follo
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The port should be 315, for example
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The first column shows the field na
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3. In the Connection tab of the Dat
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SAP HANA supports the following Mic
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Function Description Avg Returns th
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Function Description MembersAscenda
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○ MEMBERS_AND_ASCENDANTS ○ MEMB
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15 SAP HANA Developer References Th
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