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Columnar storage, in many cases, eliminates the need for additional index structures. Storing data in columns is functionally similar to having a built-in index for each column. The column scanning speed of the in-memory column store and the compression mechanisms – especially dictionary compression – allow read operations with very high performance. In many cases it will not be required to have additional indexes. Eliminating additional indexes reduces complexity and eliminates effort for defining and maintaining metadata. 2.1.2 Parallel Processing SAP HANA was designed from the ground up to perform its basic calculations (such as analytic joins, scans and aggregations) in parallel, often using hundreds of cores at the same time, fully utilizing the available computing resources of distributed systems. With columnar data, operations on single columns, such as searching or aggregations, can be implemented as loops over an array stored in contiguous memory locations. Such an operation has high spatial locality and can efficiently be executed in the CPU cache. With row-oriented storage, the same operation would be much slower because data of the same column is distributed across memory and the CPU is slowed down by cache misses. Compressed data can be loaded into the CPU cache faster. This is because the limiting factor is the data transport between memory and CPU cache, and so the performance gain will exceed the additional computing time needed for decompression. Column-based storage also allows execution of operations in parallel using multiple processor cores. In a column store, data is already vertically partitioned. This means that operations on different columns can easily be processed in parallel. If multiple columns need to be searched or aggregated, each of these operations can be assigned to a different processor core. In addition, operations on one column can be parallelized by partitioning the column into multiple sections that can be processed by different processor cores. 2.1.3 Simplifying Applications Traditional business applications often use materialized aggregates to increase performance. These aggregates are computed and stored either after each write operation on the aggregated data, or at scheduled times. Read operations read the materialized aggregates instead of computing them each time they are required. 10 P U B L I C © 2012 SAP AG. All rights reserved. SAP HANA Developer Guide SAP HANA
With a scanning speed of several gigabytes per millisecond, SAP HANA makes it possible to calculate aggregates on large amounts of data on-the-fly with high performance. This eliminates the need for materialized aggregates in many cases, simplifying data models, and correspondingly the application logic. Furthermore, with on-the fly aggregation, the aggregate values are always up-to-date unlike materialized aggregates that may be updated only at scheduled times. 2.2 SAP HANA Database Architecture A running SAP HANA system consists of multiple communicating processes (services). The following shows the main SAP HANA database services in a classical application context. Such traditional database applications use well-defined interfaces (for example, ODBC and JDBC) to communicate with the database management system functioning as a data source, usually over a network connection. Often running in the context of an application server, these traditional applications use Structured Query Language (SQL) to manage and query the data stored in the database. The main SAP HANA database management component is known as the index server. The index server contains the actual data stores and the engines for processing the data. The index server processes incoming SQL or MDX statements in the context of authenticated sessions and transactions. SAP HANA Developer Guide SAP HANA P U B L I C © 2012 SAP AG. All rights reserved. 11
Page 1 and 2: SAP HANA Appliance Software SPS 05
Page 3 and 4: 4.3.1 SAP HANA Repository Packages
Page 5 and 6: 6.5.12 Searching Tables, Models and
Page 7 and 8: 12.2 Authentication Overview. .....
Page 9: 2 SAP HANA SAP HANA is an in-memory
Page 13 and 14: SAP HANA greatly extends the tradit
Page 15 and 16: 2.4 Refactoring SAP HANA Based Appl
Page 17 and 18: In either case, as a developer you
Page 19 and 20: For this scenario, you may need to
Page 21 and 22: Object Description File Extension M
Page 23 and 24: Committing the file saves it in the
Page 25 and 26: ● Security: Contains the roles an
Page 27 and 28: The view essentially is a list of r
Page 29 and 30: Action Description ● Creates a ne
Page 31 and 32: ● Debug Session: The debug sessio
Page 33 and 34: ○ MODELING ○ CONTENT_ADMIN 3.5.
Page 35 and 36: 4.1 Setting up Delivery Units A del
Page 37 and 38: Related Links ○ In the text boxes
Page 39 and 40: 4.2.2 Creating a Repository Workspa
Page 41 and 42: 3. Open the Project Explorer view.
Page 43 and 44: 1. Create a package Packages are ne
Page 45 and 46: ● Non-Structural Package contains
Page 47 and 48: In the New Package dialog, enter in
Page 49 and 50: Maintaining Translation Details [pa
Page 51 and 52: Note: Exposed package content can i
Page 53 and 54: Application-Access File Keyword Opt
Page 55 and 56: Note: You can disable authenticatio
Page 57 and 58: | |---2011... |---subpackage1 | |--
Page 59 and 60: You use the mime_mapping keyword to
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1. If you have not already done so,
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2. Select Open Development. The def
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3. Select Next. 4. Enter a user nam
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In the SAP HANA Repositories view,
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Since you only have one workspace,
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6. Add a file called .xsaccess (no
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SAP HANA Developer Guide Setting Up
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5.1 Schema Relational databases con
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creation, but can have any number o
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If you want to define a transportab
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ool public(default=true); optional
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5.9.1 Table-Import Model The table-
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○ The key area of the input value
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{name = "Forename"; sqlType = VARCH
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var pstatement1 = conn.prepareState
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Note: The following example is for
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You can perform the following tasks
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Requirement Preference Substeps Not
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a) Log on to the Central Management
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4. In the Target System section, se
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Remember: Schema mapping only appli
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) Select the required granularity c
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● Hierarchies Note: In the Semant
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Restriction: It is not allowed to a
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Related Links ● When you open an
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○ Select the Data Foundation node
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a) In the Output panel of the Logic
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Related Links Note: If an active ve
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Note: Definer's right: If you want
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Optional Step: Creating Calculated
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4. Choose OK. Activate Note: 1. If
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a. To map the source to the target
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a. Enter a name and description. b.
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example, to calculate Discount for
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○ Name Path - the unique node ID
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specifying target currency and dese
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● In the Activate dialog, you can
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Note: You can also create a join be
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● You can choose to create parame
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● A decision table is based on in
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Objects in edit mode in other works
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shown. You can apply a filter for p
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Type Description Calculation View G
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3. From the context menu, choose Da
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Function Syntax Purpose hextoraw st
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Function Syntax Purpose daysbetween
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6.5.13 Setting Keyboard Shortcuts Y
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case, the name of calculation view
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The generated information models an
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● CALL: Calls a procedure. For ex
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7.2 Debugging SQLScript The SAP HAN
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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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