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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
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    • 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
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    • Metadata
      • Records and Fields
        • Record Types
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      • 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
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      • Multi-value Fields
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        • Joining on multivalue fields (Comparison Rules)
    • Connections
      • Database Connections
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        • Database Connections Properties
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    • CTL2 - Data Shaper Transformation Language
    • Language Reference
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      • 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. Metadata

Creating Database Table from Metadata and Database Connection

PreviousMerging Existing MetadataNextMetadata Editor

Last updated 1 month ago

As the last option, you can also create a database table on the basis of metadata (both internal and external).

When you select the Create database table item from each of the two context menus (called out from the Outline pane and/or Graph Editor), a wizard opens with an SQL query that can create database table.

You can edit the contents of this window if you want.

Note:

If multiple SQL types are listed, actual syntax depends on particular metadata (size for fixed-length field, length, scale, etc.).

DB TYPE DATA SHAPER TYPE

DB2

HIVE

INFORMIX

MSACCESS

boolean

SMALLINT

BOOLEAN

BOOLEAN

BIT

byte

VARCHAR(80) FOR BIT DATA

BINARY ete

BYTE

VARBINARY(80)

byte

CHAR(n) FOR BIT DATA

BINARY(n)

cbyte

VARCHAR(80) FOR BIT DATA

BINARY ete

BYTE

VARBINARY(80)

cbyte

CHAR(n) FOR BIT DATA

BINARY(n)

date

TIMESTAMP

TIMESTAMP rs]

DATETIME YEAR TO SECOND

DATETIME

date

DATE

DATE

DATE

date

TIME

DATETIME HOUR TO SECOND

TIME

decimal

DECIMAL

DECIMAL ter

DECIMAL

DECIMAL

decimal

DECIMAL(p)

DECIMAL(p)

DECIMAL(p)

decimal

DECIMAL(p,s)

DECIMAL(p,s)

DECIMAL(p,s)

integer

INTEGER

INT

INTEGER

INT

long

BIGINT

BIGINT

INT8

BIGINT

number

DOUBLE

DOUBLE

FLOAT

FLOAT

string

VARCHAR(80)

STRING

VARCHAR(80)

VARCHAR(80)

string

CHAR(n)

CHAR(n)

CHAR(n)

1 Available from version 0.8.0 of Hive 2 Available from version 0.11.0 of Hive

DB TYPE DATA SHAPER TYPE

MSSQL 2000-2005

MSSQL 2008

MYSQL

ORACLE

PERVASIVE

boolean

BIT

BIT

TINYINT(1)

SMALLINT

BIT

byte

VARBINARY(80)

VARBINARY(80)

VARBINARY(80)

RAW(80)

LONGVARBINARY(80)

byte

BINARY(n)

BINARY(n)

BINARY(n)

RAW(n)

BINARY(n)

cbyte

VARBINARY(80)

VARBINARY(80)

VARBINARY(80)

RAW(80)

LONGVARBINARY(80)

cbyte

BINARY(n)

BINARY(n)

BINARY(n)

RAW(n)

BINARY(n)

date

DATETIME

DATETIME

DATETIME

TIMESTAMP

TIMESTAMP

date

DATE

YEAR

DATE

DATE

date

TIME

DATE

TIME

date

TIME

decimal

DECIMAL

DECIMAL

DECIMAL

DECIMAL

DECIMAL

decimal

DECIMAL(p)

DECIMAL(p)

DECIMAL(p)

DECIMAL(p)

DECIMAL(p)

decimal

DECIMAL(p,s)

DECIMAL(p,s)

DECIMAL(p,s)

DECIMAL(p,s)

DECIMAL(p,s)

integer

INT

INT

INT

INTEGER

INTEGER

long

BIGINT

BIGINT

BIGINT

NUMBER(11,0)

BIGINT

number

FLOAT

FLOAT

DOUBLE

FLOAT

DOUBLE

string

VARCHAR(80)

VARCHAR(80)

VARCHAR(80)

VARCHAR2(80)

VARCHAR2(80)

string

CHAR(n)

CHAR(n)

CHAR(n)

CHAR(n)

CHAR(n)

DB TYPE DATA SHAPER TYPE

POSTGRESQL

SNOWFLAKE

SQLITE

SYBASE

GENERIC

boolean

BOOLEAN

BOOLEAN

BOOLEAN

BIT

BOOLEAN

byte

BYTEA

VARBINARY

VARBINARY(80)

VARBINARY(80)

VARBINARY(80)

byte

VARBINARY(80)

BINARY(n)

BINARY(n)

cbyte

BYTEA

VARBINARY

VARBINARY(80)

VARBINARY(80)

VARBINARY(80)

cbyte

BINARY(n)

BINARY(n)

BINARY(n)

date

TIMESTAMP

TIMESTAMP

TIMESTAMP

DATETIME

TIMESTAMP

date

DATE

DATE

DATE

DATE

DATE

date

TIME

TIME

TIME

TIME

TIME

decimal

NUMERIC

DECIMAL

DECIMAL

DECIMAL

DECIMAL

decimal

NUMERIC(p)

DECIMAL(p)

DECIMAL(p)

DECIMAL(p)

DECIMAL(p)

decimal

NUMERIC(p,s)

DECIMAL(p,s)

DECIMAL(p,s)

DECIMAL(p,s)

DECIMAL(p,s)

integer

INTEGER

DECIMAL(10,0)

INTEGER

INT

INTEGER

long

BIGINT

DECIMAL(19,0)

BIGINT

BIGINT

BIGINT

number

REAL

FLOAT

NUMERIC

FLOAT

FLOAT

string

VARCHAR(80)

VARCHAR

VARCHAR(80)

VARCHAR2(80)

VARCHAR2(80)

string

CHAR(n)

VARCHAR

CHAR(n)

CHAR(n)

CHAR(n)

When you select some connection to a database. For more details, see . Such database table will be created.

Database Connections