Astera Data Stack
Version 8
Version 8
  • Welcome to Astera Data Stack Documentation
  • Release Notes
    • Astera 8.0 - What's New, What's Fixed, and What's Improved
    • Astera 8.0 - Known Issues
    • Astera 8.1 - Release Notes
    • Astera 8.2 Release Notes
    • Astera 8.3 Release Notes
    • Astera 8.4 Release Notes
    • Astera 8.5 Release Notes
  • Getting Started
    • Astera 8 - Important Considerations
    • Astera 8 - System Requirements
    • Configuring the Server
    • Connecting to a Different Astera Server from the Lean Client
    • Connecting to an Astera Server using Lean Client
    • How to Build a Cluster Database and Create a Repository
    • How to Login from Lean Client
    • Setting up a Server Certificate (.pfx) File in a New Environment
    • Installing Client and Server Applications
    • Licensing Model in Astera 8
    • Migrating from Astera 7.x to Astera 8
    • UI Walkthrough - Astera 8.0
    • User Roles and Access Control
  • Dataflows
    • Sources
      • Data Providers and File Formats Supported in Astera
      • Setting Up Sources
      • COBOL File Source
      • Database Table Source
      • Data Model Query Source
      • Delimited File Source
      • Email Source
      • Excel Workbook Source
      • File Systems Item Source
      • Fixed Length File Source
      • PDF Form Source
      • Report Source
      • SQL Query Source
      • XML/JSON File Source
    • Transformations
      • Introducing Transformations
      • Aggregate Transformation
      • Constant Value Transformation
      • Data Cleanse Transformation
      • Denormalize Transformation
      • Distinct Transformation
      • Database Lookup Transformation
      • Expression Transformation
      • File Lookup Transformation
      • Filter Transformation
      • Join Transformation
      • List Lookup Transformation
      • Merge Transformation
      • Normalize Transformation
      • Passthru Transformation
      • Reconcile Transformation
      • Route Transformation
      • Sequence Generator Transformation
      • Sort Transformation
      • Sources as Transformations
      • Subflow Transformation
      • SQL Statement Lookup Transformation
      • Switch Transformation
      • Tree Join Transformation
      • Tree Transform
      • Union Transformation
    • Destinations
      • Setting Up Destinations
      • Database Table Destination
      • Delimited File Destination
      • Excel Workbook Destination
      • Fixed Length File Destination
      • SQL Statement Destination
      • XML/JSON File Destination
    • Data Logging and Profiling
      • Creating Data Profile
      • Creating Field Profile
      • Data Quality Mode
      • Record Level Log
      • Using Data Quality Rules in Astera
    • Database Write Strategies
      • Database Diff Processor
      • Data Driven Write Strategy
      • Dimension Loader - Database Write
      • Source Diff Processor
    • Text Processors
      • Delimited Parser
      • Delimited Serializer
      • Fixed Length Parser
      • Fixed Length Serializer
      • Language Parser
      • XML JSON Parser
      • XML JSON Serializer
    • Data Warehouse
      • Fact Table Loader
      • Dimension Table Loader
  • WORKFLOWS
    • What Are Workflows?
    • Using the Workflow Designer
    • Creating Workflows in Astera
    • Decision Task
    • EDI Acknowledgement Task
    • File System Task
    • File Transfer Task
    • OR Task
    • Run Dataflow Task
    • Run Program Task
    • Run SQL File Task
    • Run SQL Script Task
    • Run Workflow Task
    • Send Mail Task
    • Workflows with a Dynamic Destination Path
    • Customizing Workflows with Parameters
    • GPG-Integrated File Decryption in Astera
  • Subflows
    • Using Subflows in Astera
  • Functions
    • Introducing Function Transformations
    • Custom Functions
    • Logical
      • Coalesce (Any value1, Any value2)
      • IsNotNull (AnyValue)
      • IsRealNumber (AnyValue)
      • IsValidSqlDate (Date)
      • IsDate (AnyValue)
      • If (Boolean)
      • If (DateTime)
      • If (Double)
      • Exists
      • If (Int64)
      • If (String)
      • IsDate (str, strformat)
      • IsInteger (AnyValue)
      • IsNullOrWhitespace (StringValue)
      • IsNullorEmpty (StringValue)
      • IsNull (AnyValue)
      • IsNumeric (AnyValue)
    • Conversion
      • GetDateComponents (DateWithOffset)
      • ParseDate (Formats, Str)
      • GetDateComponents (Date)
      • HexToInteger (Any Value)
      • ToInteger (Any value)
      • ToDecimal (Any value)
      • ToReal (Any value)
      • ToDate (String dateStr)
      • TryParseDate (String, UnknownDate)
      • ToString (Any value)
      • ToString (DateValue)
      • ToString (Any data, String format)
    • Math
      • Abs (Double)
      • Abs (Decimal)
      • Ceiling (Real)
      • Ceiling(Decimal)
      • Floor (Decimal)
      • Floor (Real)
      • Max (Decimal)
      • Max (Date)
      • Min (Decimal)
      • Min (Date)
      • Max (Real)
      • Max (Integer)
      • Min (Real)
      • Pow (BaseExponent)
      • Min (Integer)
      • RandomReal (Int)
      • Round (Real)
      • Round (Real Integer)
      • Round (Decimal Integer)
      • Round (Decimal)
    • Financial
      • DDB
      • FV
      • IPmt
      • IPmt (FV)
      • Pmt
      • Pmt (FV)
      • PPmt
      • PPmt (FV)
      • PV (FV)
      • Rate
      • Rate (FV)
      • SLN
      • SYD
    • String
      • Center (String)
      • Chr (IntAscii)
      • Asc (String)
      • AddCDATAEnvelope
      • Concatenate (String)
      • ContainsAnyChar (String)
      • Contains (String)
      • Compact (String)
      • Find (Int64)
      • EndsWith (String)
      • FindIntStart (Int32)
      • Extract (String)
      • GetFindCount (Int64)
      • FindLast (Int64)
      • GetDigits (String)
      • GetLineFeed
      • Insert (String)
      • IsAlpha
      • GetToken
      • IndexOf
      • IsBlank
      • IsLower
      • IsUpper
      • IsSubstringOf
      • Length (String)
      • LeftOf (String)
      • Left (String)
      • IsValidName
      • Mid (String)
      • PadLeft
      • Mid (String Chars)
      • LSplit (String)
      • PadRight
      • ReplaceAllSpecialCharsWithSpace
      • RemoveChars (String str, StringCharsToRemove)
      • ReplaceLast
      • RightAlign
      • Reverse
      • Right (String)
      • RSplit (String)
      • SplitStringMultipleRecords
      • SplitStringMultipleRecords (2 Separators)
      • SplitString (3 separators)
      • SplitString
      • SplitStringMultipleRecords (3 Separators)
      • Trim
      • SubString (NoOfChars)
      • StripHtml
      • Trim (Start)
      • TrimExtraMiddleSpace
      • TrimEnd
      • PascalCaseWithSpace (String str)
      • Trim (String str)
      • ToLower(String str)
      • ToProper(String str)
      • ToUpper (String str)
      • Substring (String str, Integer startAt)
      • StartsWith (String str, String value)
      • RemoveAt (String str, Integer startAt, Integer noofChars)
      • Proper (String str)
      • Repeat (String str, Integer count)
      • ReplaceAll (String str, String lookFor, String replaceWith)
      • ReplaceFirst (String str, String lookFor, String replaceWith)
      • RightOf (String str, String lookFor)
      • RemoveChars (String str, String charsToRemove)
      • SplitString (String str, String separator1, String separator2)
    • Date Time
      • AddMinutes (DateTime)
      • AddDays (DateTimeOffset)
      • AddDays (DateTime)
      • AddHours (DateTime)
      • AddSeconds (DateTime)
      • AddMonths (DateTime)
      • AddMonths (DateTimeOffset)
      • AddMinutes (DateTimeOffset)
      • AddSeconds (DateTimeOffset)
      • AddYears (DateTimeOffset)
      • AddYears (DateTime)
      • Age (DateTime)
      • Age (DateTimeOffset)
      • CharToSeconds (Str)
      • DateDifferenceDays (DateTimeOffset)
      • DateDifferenceDays (DateTime)
      • DateDifferenceHours (DateTimeOffset)
      • DateDifferenceHours (DateTime)
      • DateDifferenceMonths (DateTimeOffset)
      • DateDifferenceMonths (DateTime)
      • DatePart (DateTimeOffset)
      • DatePart (DateTime)
      • DateDifferenceYears (DateTimeOffset)
      • DateDifferenceYears (DateTime)
      • Month (DateTime)
      • Month (DateTimeOffset)
      • Now
      • Quarter (DateTime)
      • Quarter (DateTimeOffset)
      • Second (DateTime)
      • Second (DateTimeOffset)
      • SecondsToChar (String)
      • TimeToInteger (DateTime)
      • TimeToInteger (DateTimeOffset)
      • ToDate Date (DateTime)
      • ToDate DateTime (DateTime)
      • ToDateString (DateTime)
      • ToDateTimeOffset-Date (DateTimeOffset)
      • ToDate DateTime (DateTimeOffset)
      • ToDateString (DateTimeOffset)
      • Today
      • ToLocal (DateTime)
      • ToJulianDate (DateTime)
      • ToJulianDayNumber (DateTime)
      • ToTicks (Date dateTime)
      • ToTicks (DateTimeWithOffset dateTime)
      • ToUnixEpoc (Date dateTime)
      • ToUtc (Date dateTime)
      • UnixTimeStampToDateTime (Real unixTimeStamp)
      • UtcNow ()
      • Week (Date dateTime)
      • Week (DateTimeWithOffset dateTime)
      • Year (Date dateTime)
      • Year (DateTimeWithOffset dateTime)
      • DateToJulian (Date dateTime, Integer length)
      • DateTimeOffsetUtcNow ()
      • DateTimeOffsetNow ()
      • Day (DateTimeWithOffset dateTime)
      • Day (Date dateTime)
      • DayOfWeekStr (DateTimeWithOffset dateTime)
      • DayOfWeek (DateTimeWithOffset dateTime)
      • DayOfWeek (Date dateTime)
      • DateToJulian (DateTimeWithOffset dateTime, Integer length)
      • DayOfWeekStr (Date dateTime)
      • FromJulianDate (Real julianDate)
      • DayOfYear (Date dateTime)
      • DaysInMonth(Integer year, Integer month)
      • DayOfYear (DateTimeWithOffset dateTime)
      • FromUnixEpoc
      • FromJulianDayNumber (Integer julianDayNumber)
      • FromTicksUtc(Integer ticks)
      • FromTicksLocal(Integer ticks)
      • Hour (Date dateTime)
      • Hour (DateTimeWithOffset dateTime)
      • Minute (Date dateTime)
      • JulianToDate (String julianDate)
      • Minute (DateTimeWithOffset dateTime)
      • DateToIntegerYYYYMMDD (DateTimeWithOffset dateTime)
      • DateToIntegerYYYYMMDD (Date dateTime)
    • Files
      • AppendTextToFile (String filePath, String text)
      • CopyFile (String sourceFilePath, String destFilePath, Boolean overWrite)
      • CreateDateTime (String filePath)
      • DeleteFile (String filePath)
      • DirectoryExists (String filePath)
      • FileExists (String filePath)
      • FileLength (String filePath)
      • FileLineCount (String filePath)
      • GetDirectory (String filePath)
      • GetEDIFileMetaData (String filePath)
      • GetExcelWorksheets (String excelFilePath)
      • GetFileExtension (String filePath)
      • GetFileInfo (String filePath)
      • GetFileName (String filePath)
      • GetFileNameWithoutExtension (String filePath)
      • LastUpdateDateTime (String filePath)
      • MoveFile (String filePath, String newDirectory)
      • ReadFileBytes (String filePath)
      • ReadFileFirstLine (String filePath)
      • ReadFileText (String filePath)
      • ReadFileText (String filePath, String codePage)
      • WriteBytesToFile (String filePath, ByteArray bytes)
      • WriteTextToFile (String filePath, String text)
    • Date Time With Offset
      • ToDateTimeOffsetFromDateTime (dateTime String)
      • ToUtc (DateTimeWithOffset)
      • ToDateTimeOffsetFromDateTime
      • ToDateTimeOffset (String dateTimeOffsetStr)
      • ToDateTimeFromDateTimeOffset
    • GUID
      • NewGuid
    • Encoding
      • ToBytes
      • FromBytes
      • UrlEncode
      • UrlDecode
    • Regular Expressions
      • ReplaceRegEx
      • ReplaceRegEx (Integer StartAt)
    • TimeSpan
      • Minutes
      • Hours
      • Days
      • Milliseconds
    • Matching
      • Soundex
      • DoubleMetaphone
      • RefinedSoundex
  • Report Model
    • User Guide
      • Report Model Tutorial
    • Report Model Interface
      • Field Properties Panel
      • Region Properties Panel
      • Report Browser
      • Report Options
    • Use Cases
      • Applying Pattern to Line
      • Auto Creating Data Regions and Fields
      • Auto-Parsing
      • Creating Multi-Column Data Regions
      • Floating Patterns and Floating Fields
      • How To Work With PDF Scaling Factor in a Report Model
      • Line Count
      • Pattern Count
      • Pattern is a Regular Expression
    • Exporting Options
      • Exporting a Report Model
      • Exporting Report Model to a Dataflow
    • Miscellaneous
      • Importing Monarch Models
      • Microsoft Word and Rich Text Format Support
      • Working With Problematic PDF Files
  • API Flows
    • API Consumption
      • Consume
        • REST API Browser
        • Making HTTP Requests Through REST API Browser
        • Using REST Client Outside of the Scope of the Project
      • Authorize
        • Authorizing ActiveCampaign API in Astera
        • Authorizing Astera Server APIs
        • Authorizing Avaza APIs in Astera
        • Authorizing Facebook APIs in Astera
        • Authorizing QuickBooks API in Astera
        • Authorizing Square API in Astera
        • Open APIs - Configuration Details
  • Project Management
    • Project Management
      • Astera's Project Explorer
      • Connecting to Source Control
      • Deployment
      • Server Monitoring and Job Management
    • Job Scheduling
      • Scheduling Jobs on the Server
      • Job Monitor
  • Use Cases
    • End-to-End Use Cases
      • Data Integration
        • Using Astera to Create and Orchestrate an ETL Process for Partner Onboarding
      • Data Warehousing
        • Building a Data Warehouse - A Step-By-Step Approach
      • Data Extraction
        • Reusing The Extraction Template for Similar Layout Files
  • Connectors
    • Connecting to Amazon Aurora Database
    • Connecting to Amazon RDS Databases
    • Connecting to Amazon Redshift Database
    • Connecting to Cloud Storage
    • Connecting to Google Cloud SQL in Astera
    • Connecting to MariaDB Database
    • Connecting to Microsoft Azure Databases
    • Connecting to MySQL Database
    • Connecting to Netezza Database
    • Connecting to Oracle Database
    • Connecting to PostgreSQL in Astera
    • Connecting to Salesforce Database
    • Connecting to Salesforce - Legacy Database
    • Connecting to SAP HANA Database
    • Connecting to Snowflake Database
    • Connecting to Vertica Database
    • Setting Up IBM DB2 iSeries Connectivity in Astera
  • Miscellaneous
    • Cloud Deployment
      • Deploying Astera on Amazon Web Services
      • Deploying Astera on Microsoft Azure Cloud
      • Deploying Astera on Oracle Cloud
    • Context Information
    • Pushdown Mode
    • Role Based Access Control in Astera
    • Safe Mode
    • Server Command Line Utility
    • SmartMatch Feature
    • Synonym Dictionary File
    • Updating Your License in Astera
    • Using Dynamic Layout/Template Mapping in Astera
    • Using Output Variables in Astera
    • Using the Data Source Browser in Astera
  • Best Practices
    • Astera Best Practices - Dataflows
    • Overview of Cardinality in Data Modeling
    • Cardinality Errors FAQs
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  1. Connectors

Connecting to SAP HANA Database

PreviousConnecting to Salesforce - Legacy DatabaseNextConnecting to Snowflake Database

Last updated 9 months ago

SAP HANA is an in-memory, relational database management system used for storing and retrieving data as requested by applications. Astera allows you to connect to SAP HANA databases to read data from or to write data to its tables through various database objects.

The SAP HANA database can be natively connected to a database source or a database destination object in Astera. We can also use other objects such as lookups, SQL script tasks in a workflow, database write strategies, and any other object where connecting to a database is supported in Centerprise.

To learn more about SAP HANA and its installation, click .

In this article, we will explore:

  1. A use case where a SAP HANA Database is being used in Astera Centerprise

  2. Connecting to a SAP HANA database in Centerprise.

Use Case

Let’s use the SAP HANA Database in an ETL process and see how it can integrate data in a dataflow.

We have the Orders data in a Database Table Source. We need to get a list of all the orders to be shipped to ‘Brazil’.

To learn more about how a Database Table Source works in Astera, click .

We will use the Filter transformation object to filter out records for orders to be shipped to Brazil.

If we preview the output, we can see all orders that are to be shipped to Brazil.

Now, we can write this data to a database using the Database Table Destination object in Astera. Let’s drag and drop the Database Table Destination object onto the dataflow designer.

Let’s connect to the SAP HANA Database using the Database Table Destination object.

  1. To configure the Database Table Destination object, right-click on its header and select Properties from the context menu.

As soon as you have selected the Properties option from the context menu, a new window will open.

This is where you can configure a connection with the database.

  1. The first step is to select the Data Provider from the list. We will select SAP HANA as our data provider in this case.

  1. Put in the required credentials for your SAP HANA data provider account:

    • User ID

    • Password

    • Server Name

    • Database

    • Schema

    • Port

  1. Test Connection to make sure that your database connection is successful, and click Next.

Once the connection is established, you can Pick Table or Create Table and modify the Writing Options for the SAP HANA Database on the Properties screen.

The Database Table Destination object has some specific data writing options for SAP HANA. On the Pick Table screen, there is an added option for Table Type.

The SAP HANA databases support two types of tables for Column and Row-based storage, where the data can be stored either in a column table or a row table.

In the Table Type drop-down, you have two options:

  1. Column Stored Table

  2. Row Stored Table

For this use case, we will Create a new table and set the Table Type as Column Stored Table.

You have successfully configured SAP HANA as your database provider for your Database Table Destination object. The data will now be written to the SAP HANA Database once we run the dataflow.

This concludes connecting to the SAP HANA Database in Astera.

To know more about how a Filter Transformation object works in Astera, click.

To learn more about Column and Row-based data storage, click .

To read more on other different data writing options in a Database Table Destination, click.

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