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Data Shaper
Data Shaper
  • 🚀GETTING STARTED
    • What is Primeur Data Shaper
      • What is the Data Shaper Designer
      • What is the Data Shaper Server
      • What is the Data Shaper Cluster
    • How does the Data Shaper Designer work
      • Designer Views and Graphs
      • Data Shaper Graphs
      • Designer Projects and Sandboxes
      • Data Shaper Designer Reference
    • How do the Data Shaper Server and Cluster work
      • Data Shaper Server and Cluster
      • Data Shaper Server Reference
    • VFS Graph Components
      • DataOneFileDescriptor (DOFD) metadata
      • Passing parameters from Data One Contract to Data Shaper graph
      • Inheriting Data One context attributes in Data Shaper graph
  • DATA SHAPER DESIGNER
    • Configuration
      • Runtime configuration
        • Logging
        • Master Password
        • User Classpath
      • Data Shaper Server Integration
      • Execution monitoring
      • Java configuration
      • Engine configuration
      • Refresh Operation
    • Designer User Interface
      • Graph Editor with Palette of Components
      • Project Explorer Pane
      • Outline Pane
      • Tabs Pane
      • Execution Tab
      • Keyboard Shortcuts
    • Projects
      • Creating Data Shaper projects
      • Converting Data Shaper projects
      • Structure of Data Shaper projects
      • Versioning of server project content
      • Working with Data Shaper Server Projects
      • Project configuration
    • Graphs
      • Creating an empty graph
      • Creating a simple graph
        • Placing Components
        • Placing Components from Palette
        • Connecting Components with Edges
    • Execution
      • Successful Graph Execution
      • Run configuration
      • Connecting to a running job
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    • Common dialogs
      • URL file dialog
      • Edit Value dialog
      • Open Type dialog
    • Import
      • Import Data Shaper projects
      • Import from Data Shaper server sandbox
      • Import graphs
      • Import metadata
    • Export
      • Export graphs to HTML
      • Export to Data Shaper Server sandbox
      • Export image
      • Export Project as Library
    • Graph tracking
      • Changing record count font size
    • Search functionality
    • Working with Data Shaper server
      • Data Shaper server project basic principles
      • Connecting via HTTP
      • Connecting via HTTPS
      • Connecting via Proxy Server
    • Graph components
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      • Edit component dialog box
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      • Common properties of components
      • Specific attribute types
      • Metadata templates
    • Edges
      • Connecting Components with Edges
      • Types of Edges
      • Assigning Metadata to Edges
      • Colors of Edges
      • Debugging Edges
      • Edge Memory Allocation
    • Metadata
      • Records and Fields
        • Record Types
        • Data Types in Metadata
        • Data Formats
        • Locale and Locale Sensitivity
        • Time Zone
        • Autofilling Functions
      • Metadata Types
        • Internal Metadata
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        • SQL Query Metadata
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        • Sources of Auto-Propagated Metadata
        • Explicitly Propagated Metadata
        • Priorities of Metadata
        • Propagation of SQL Query Metadata
      • Creating Metadata
        • Extracting Metadata from a Flat File
        • Extracting Metadata from an XLS(X) File
        • Extracting Metadata from a Database
        • Extracting Metadata from a DBase File
        • Extracting Metadata from Salesforce
        • SQL Query Metadata
        • User Defined Metadata
      • Merging Existing Metadata
      • Creating Database Table from Metadata and Database Connection
      • Metadata Editor
        • Opening Metadata Editor
        • Basics of Metadata Editor
        • Record Pane
        • Field Name vs. Label vs. Description
        • Details Pane
      • Changing and Defining Delimiters
      • Editing Metadata in the Source Code
      • Multi-value Fields
        • Lists and Maps Support in Components
        • Joining on multivalue fields (Comparison Rules)
    • Connections
      • Database Connections
        • Internal Database Connections
        • External (Shared) Database Connections
        • Database Connections Properties
        • Encryption of Access Password
        • Browsing Database and Extracting Metadata from Database Tables
        • Windows Authentication on Microsoft SQL Server
        • Snowflake Connection
        • Hive Connection
        • Troubleshooting
      • JMS Connections
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    • Lookup Tables
      • Lookup Tables in Cluster Environment
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      • Types of Lookup Tables
    • Sequences
      • Persistent Sequences
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      • Editing a Sequence
      • Sequences in Cluster Environment
    • Parameters
      • Internal Parameters
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      • Secure Graph Parameters
      • Graph Parameter Editor
      • Secure Graph Parameters
      • Parameters with CTL2 Expressions (Dynamic Parameters)
      • Environment Variables
      • Canonicalizing File Paths
      • Using Parameters
    • Internal/External Graph Elements
    • Dictionary
      • Creating a Dictionary
      • Using a Dictionary in Graphs
    • Execution Properties
    • Notes in Graphs
      • Placing Notes into Graph
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      • Formatted Text
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    • Transformations
      • Defining Transformations
      • Transform Editor
      • Common Java Interfaces
    • Data Partitioning (Parallel Running)
    • Data Partitioning in Cluster
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      • Graph Allocation Examples
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      • Remote Edges
    • Readers
      • Common Properties of Readers
      • ComplexDataReader
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      • DataGenerator
      • DataOneVFSReader
      • EDIFACTReader
      • FlatFileReader
      • JSONExtract
      • JSONReader
      • LDAPReader
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      • SpreadsheetDataReader
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      • X12Reader
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      • XMLReader
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    • Writers
      • Common Properties of Writers
      • DatabaseWriter
      • DataOneVFSWriter
      • EDIFACTWriter
      • FlatFileWriter
      • JSONWriter
      • LDAPWriter
      • SpreadsheetDataWriter
      • HIDDEN StructuredDataWriter
      • HIDDEN TableauWriter
      • Trash
      • UniversalDataWriter
      • X12Writer
      • XMLWriter
    • Transformers
      • Common Properties of Transformers
      • Aggregate
      • Concatenate
      • DataIntersection
      • DataSampler
      • Dedup
      • Denormalizer
      • ExtSort
      • FastSort
      • Filter
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      • MetaPivot
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      • Partition
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      • Rollup
      • SimpleCopy
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      • XSLTransformer
    • Joiners
      • Common Properties of Joiners
      • Combine
      • CrossJoin
      • DBJoin
      • ExtHashJoin
      • ExtMergeJoin
      • LookupJoin
      • RelationalJoin
    • Others
      • Common Properties of Others
      • CheckForeignKey
      • DBExecute
      • HTTPConnector
      • LookupTableReaderWriter
      • WebServiceClient
    • CTL2 - Data Shaper Transformation Language
    • Language Reference
      • Program Structure
      • Comments
      • Import
      • Data Types in CTL2
      • Literals
      • Variables
      • Dictionary in CTL2
      • Operators
      • Simple Statement and Block of Statements
      • Control Statements
      • Error Handling
      • Functions
      • Conditional Fail Expression
      • Accessing Data Records and Fields
      • Mapping
      • Parameters
      • Regular Expressions
    • CTL Debugging
      • Debug Perspective
      • Importing and Exporting Breakpoints
      • Inspecting Variables and Expressions
      • Examples
    • Functions Reference
      • Conversion Functions
      • Date Functions
      • Mathematical Functions
      • String Functions
      • Mapping Functions
      • Container Functions
      • Record Functions (Dynamic Field Access)
      • Miscellaneous Functions
      • Lookup Table Functions
      • Sequence Functions
      • Data Service HTTP Library Functions
      • Custom CTL Functions
      • CTL2 Appendix - List of National-specific Characters
      • HIDDEN Subgraph Functions
    • Tutorial
      • Creating a Transformation Graph
      • Filtering the records
      • Sorting the Records
      • Processing Speed-up with Parallelization
      • Debugging the Java Transformation
  • DATA SHAPER SERVER
    • Introduction
    • Administration
      • Monitoring
    • Using Graphs
      • Job Queue
      • Execution History
      • Job Inspector
    • Cluster
      • Sandboxes in Cluster
      • Troubleshooting
  • Install Data Shaper
    • Install Data Shaper
      • Introduction to Data Shaper installation process
      • Planning Data Shaper installation
      • Data Shaper System Requirements
      • Data Shaper Domain Master Configuration reference
      • Performing Data Shaper initial installation and master configuration
        • Creating database objects for PostgreSQL
        • Creating database objects for Oracle
        • Executing Data Shaper installer
        • Configuring additional firewall rules for Data Shaper
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  1. DATA SHAPER DESIGNER
  2. Connections
  3. Database Connections

Snowflake Connection

PreviousWindows Authentication on Microsoft SQL ServerNextHive Connection

You can connect to Snowflake in the same way as to any other SQL database using a with the bundled Snowflake JDBC driver.

This section contains information about working with date-time data types that is common to , .

Date/Time Data Types in Snowflake

Working with dates and time zones can be challenging. As a quick rule before going into details, always specify the Format of date data fields in your metadata, see . Also setting the on the connection to match your local time zone may help.

There are five different and two time zones ( and ) that affect the results.

SNOWFLAKE TYPE
DESCRIPTION
TIME ZONE

DATE

A date without a time component.

local

TIME

Wallclock time without a date.

local

TIMESTAMP_NTZ

Date and time without a time zone. Saved as the wallclock date-time in the session time zone. The time zone itself is not stored.

session

TIMESTAMP_TZ

Date and time with a time zone. The session time zone is stored as a part of the value and used for reading.

session

TIMESTAMP_LTZ

Written in the local time zone, but the time zone is not stored. The current time zone is always used for reading.

local

All of these Snowflake types map to just one data type in Data Shaper metadata: date.

An important property of the date data type is its Format. It provides a hint on how to interpret the data while reading or writing them to the database.

If the Format contains only a date part, it maps to the DATE type. If it contains only a time part, we consider it a TIME. And if it contains both, we treat it as a TIMESTAMP.

For example, "yyyy-MM-dd" or "dd/MM/yyyy" are DATE formats, "HH:mm:ss" is a TIME format, and "dd.MM.yyyy HH:mm:ss" is a TIMESTAMP.

See for more details.

Note that regardless of the Format, Data Shaper records store the full date and time value. The Format controls how that value is interpreted when reading and writing data.

Session Time Zone

This is the time zone of the connection, as configured in Snowflake. It is used for writing TIMESTAMPs.

Local Time Zone

See also

See the parameter in Snowflake documentation.

You can override the session time zone on the connection in , e.g., TIMEZONE=Asia/Singapore.

This is the client time zone. It is used for reading and writing DATE and TIME columns. It is set to your system time zone by default. But you can override it in your metadata, even for individual fields. See and for details.

TIMEZONE
DatabaseReader
DatabaseWriter
Date and Time Format
Date and Time Format
Time Zone
Time Zone
DB Connection
DatabaseReader
DatabaseWriter
Snowflake data types
Session Time Zone
session TZ
local TZ
Date and Time Format
Advanced Properties of JDBC driver
Advanced Properties of JDBC driver
Date and Time Format