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  • Welcome to Syntho
  • Overview
    • Get started
      • Syntho bootcamp
        • 1. What is Syntho?
        • 2. Introduction data anonymization
        • 3. Connectors & workspace creation
        • 4. PII scan
        • 5. Generators
          • Mockers
          • Maskers
          • AI synthesize
          • Calculated columns
          • Free text de-identification
        • 6. Referential integrity & foreign keys
        • 7. Workspace synchronization & validation
        • 8. Workspace & user management
        • 9. Large workloads​
        • 10. Data pre-processing
        • 11. Continuous Success
      • Prerequisites
      • Sample datasets
      • Introduction to data generators
    • Frequently asked questions
  • Setup Workspaces
    • View workspaces
    • Create a workspace
      • Connect to a database
        • PostgreSQL
        • MySQL / MariaDB
        • Oracle
        • Microsoft SQL Server
        • DB2
        • Databricks
          • Importing Data into Databricks
        • Hive
        • SAP Sybase
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      • Workspace modes
    • Edit a workspace
    • Duplicate a workspace
    • Transfer workspace ownership
    • Share a workspace
    • Delete a workspace
    • Workspace default settings
  • Configure a Data Generation Job
    • Configure table settings
    • Configure column settings
      • AI synthesize
        • Sequence model
          • Prepare your sequence data
        • QA report
        • Additional privacy controls
        • Cross-table relationships limitations
      • Mockers
        • Text
          • Supported languages
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
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      • Mask
        • Text
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • UUID
      • Duplicate
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      • Consistent mapping
      • Calculated columns
      • Key generators
        • Differences between key generators
      • JSON de-identification
    • Manage personally identifiable information (PII)
      • Privacy dashboard
      • Discover and de-identify PII columns
        • Identify PII columns manually
        • Automatic PII discovery with PII scanner
      • Remove columns from PII list
      • Automatic PII discovery and de-identification in free text columns
      • Supported PII & PHI entities
    • Manage foreign keys
      • Foreign key inheritance
      • Add virtual foreign keys
        • Add virtual foreign keys
        • Use foreign key scanner
        • Import foreign keys via JSON
        • Export foreign keys via JSON
      • Delete foreign keys
    • Validate and Synchronize workspace
    • View and adjust generation settings
  • Deploy Syntho
    • Introduction
      • Syntho architecture
      • Requirements
        • Requirements for Docker deployments
        • Requirements for Kubernetes deployments
      • Access Docker images
        • Online
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    • Deploy Syntho using Docker
      • Preparations
      • Deploy using Docker Compose
      • Run the application
      • Manually saving logs
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      • Preparations
      • Deploy Ray using Helm
        • Upgrading Ray CRDs
        • Troubleshooting
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      • Validate the deployment
      • Troubleshooting
      • Saving logs
      • Upgrading the applications
    • Manage users and access
      • Single Sign-On (SSO) in Azure
      • Manage admin users
      • Manage non-admin users
    • Logs and monitoring
      • Does Syntho collect any data?
      • Temporary data storage by application
  • Syntho API
    • Syntho REST API
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On this page
  • Before you begin
  • Connect and set up the workspace
  • Limitations
  • Supported data types

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  1. Setup Workspaces
  2. Create a workspace
  3. Connect to a database

Oracle

PreviousMySQL / MariaDBNextMicrosoft SQL Server

Last updated 8 days ago

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Before you begin

Before you begin, gather this connection information:

  • Name of the server that hosts the database you want to connect to and the Oracle service name and port

  • User name and password

  • Are you connecting to an SSL server? You must configure the Oracle client before you can use SSL

Connect and set up the workspace

Launch Syntho and select Connect to a database, or Create workspace. Then select Oracle from Type under The connection details. For a complete list of data connections, click Type under The connection details. Then do the following:

  1. Enter the server name.

    • Note: To find the correct service name, open the tnsnames.ora file (in the ORACLE_HOME/network/admin directory by default) and search for the net_service_name section. Use the value listed for service_name.

  2. Enter the database name to connect to the contained database.

  3. Enter the port number.

  4. Enter user name and password.

    Select the Require SSL check box when connecting to an SSL server.

  5. Select Next. If Syntho can't make the connection, verify that your credentials are correct. If you still can't connect, your computer is having trouble locating the server. Contact your network administrator or database administrator.

Limitations

  • There is a possibility for some Oracle DB system schemas to appear after creating workspace. This shouldn't happen if database permissions and schemas are set properly, but if it does happen then user should manually exclude schemas from synthetization. See below the list of schema that are excluded by default.

List of automatically excluded tables in Oracle
  • anonymous

  • appqossys

  • audsys

  • dbsfwuser

  • dbsnmp

  • dgpdb_int

  • dip

  • dvf

  • dvsys

  • ggsys

  • gsmadmin_internal

  • gsmcatuser

  • gsmrootuser

  • gsmuser

  • lbacsys

  • ops$oracle

  • oracle_ocm

  • outln

  • remote_scheduler_agent

  • sys

  • sys$umf

  • sysbackup

  • sysdg

  • syskm

  • sysrac

  • system

  • xdb

  • xs$null

Supported data types

The following table provides a summary of the current support and limitations for various data types when using connectors with Oracle. It indicates what's supported per generator type, and if any additional processing is performed by Syntho to successfully generate and write the data.

Data Type
AI-powered Generation
Mockers
Mask
Calculated Columns

INTEGER

SMALLINT

NUMBER

FLOAT

BINARY_FLOAT

BINARY_DOUBLE

CHAR

VARCHAR2

NCHAR

NVARCHAR2

CLOB

False

False

False

False

DATE

False

TIMESTAMP

False

TIMESTAMP WITH TIME ZONE

False

TIMESTAMP WITH LOCAL TIME ZONE

False

INTERVAL YEAR TO MONTH

False

INTERVAL DAY TO SECOND

False

RAW

False

False

False

False

BLOB

False

False

False

False

NCLOB

False

False

False

False

ROWID

True*

True*

True*

True*

UROWID

True*

True*

True*

True*

XMLTYPE

*Some data types are not actively supported; however, certain generators such as AI synthesize, mask, mockers, or calculated columns may still show 'True' for these fields. This means the generators can be applied, even though the types are not actively supported. Duplication is fully supported for these data types.

True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
Source and Destination Databases
True
True
True
True
True
True
True
True
True
True
True