Hive

Syntho Beta feature

Source and Destination Databases

Important

This connector can only be used as a source database. The generated data can be written to Azure Data Lake Storage (ADLS) or Amazon Simple Storage Service (S3) as Parquet files.

Before you begin

Before you begin, gather this connection information:

• Name of the server that hosts the database you want to connect to and port number

• User name and password

• Are you connecting to an SSL server?

Connect and set up the workspace

Launch Syntho and select Connect to a database, or under Create workspace, select Hive. For a complete list of data connections, select More under From database. Then do the following:

1. Enter the name of the server that hosts the database and the port number to use.

2. Optionally, enter the schema name.

3. Enter user name and password.

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

4. Select Create Workspace.

   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.

Considerations: Handling Hive database partitioning

Hive only

In Hive databases, source tables are often partitioned based on three columns treated as index columns. These columns are used for ordering in queries, but they do not always form unique composites.

To address this, use the partitioning columns along with the additional columns specified through the "ORDER BY" dropdown. This approach ensures unique and consistent ordering, leveraging both the partitioning logic and user-defined columns. For more information, check ORDER BY in table settings.

Supported data types

Data Type	Type	AI-powered Generation	Mockers	Mask	Calculated Columns
TINYINT	discrete	True	True	True	True
SMALLINT	discrete	True	True	True	True
INT	discrete	True	True	True	True
BIGINT	discrete	True	True	True	True
FLOAT	continuous	True	True	True	True
DOUBLE	continuous	True	True	True	True
DECIMAL	continuous	True	True	True	True
TIMESTAMP	datetime	True	True	True	False
DATE	datetime	True	True	True	False
STRING	categorical	True	True	True	True
VARCHAR	categorical	True	True	True	True
CHAR	categorical	True	True	True	True
BOOLEAN	bool	False	True	False	False
BINARY	bytes	False	False	False	False
ARRAY	categorical	True	True	True	True
MAP	categorical	True	True	True	True
STRUCT	categorical	True	True	True	True

Data types that are labeled as "no active support" mean that they are not actively supported, however, you may still be able to apply generators (e.g., AI-powered generation, mask, mockers or calculated columns) to these columns. Duplication is fully supported for these types.