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Greenplum Data Source

Last updated: 2024-11-01 17:50:37

    Supported Editions

    Supports Greenplum 4.x, 5.x, 6.x versions.

    Greenplum Offline Single Table Read Node Configuration

    
    
    
    Parameters
    Description
    Data Source
    Available Greenplum Data Source.
    Database
    Supports selecting or manually entering the database name to be read
    By default, the database bound to the data source is used as the default database. Other databases need to be manually entered.
    If the data source network is not connected and the database information cannot be fetched directly, you can manually enter the database name. Data synchronization can still be performed when the Data Integration network is connected.
    Schema
    Supports selection or manual input of the Schema name to be read.
    Table
    Supports selecting or manually entering the table name to be read.
    Split Key
    Specify the field for data sharding. After specifying, concurrent tasks will be launched for data synchronization. You can use a column in the source data table as the partition key. It is recommended to use the primary key or indexed column as the partition key.
    Filter Conditions (Optional)
    In actual business scenarios, it is common to synchronize data of the current day, with the where condition specified as gmt_create>$bizdate.
    The where condition can effectively perform incremental business synchronization.
    If the WHERE clause is not provided, including missing the key or value, the data synchronization is treated as full data synchronization.

    Greenplum Offline Single Table Write Node Configuration

    
    
    
    Parameters
    Description
    Data Destination
    Greenplum Data Source to be Written.
    Database
    Supports selection or manual input of the database name to write to
    By default, the database bound to the data source is used as the default database. Other databases need to be manually entered.
    If the data source network is not connected and the database information cannot be fetched directly, you can manually enter the database name. Data synchronization can still be performed when the Data Integration network is connected.
    Schema
    Supports selection or manual input of the Schema name to be read.
    Table
    Supports selection or manual input of the table name to write to
    If the data source network is not connected and the table information cannot be fetched directly, you can manually enter the table name. Data synchronization can still be performed when the Data Integration network is connected.
    Whether to Clear Table
    Before writing to this Greenplum Data Table, you can manually choose whether to clear the table.
    Batch Submission Size
    The size of records for one-time batch submission can significantly reduce the number of network interactions between the data synchronization system and Greenplum and improve overall throughput. If the value is set too high, it may cause the data synchronization process to run into OOM exceptions.
    Pre-Executed SQL (Optional)
    The SQL statement executed before the synchronization task. Fill in the correct SQL syntax according to the data source type, such as clearing the old data in the table before execution (truncate table tablename).
    Post-Executed SQL (Optional)
    The SQL statement executed after the synchronization task. Fill in the correct SQL syntax according to the data source type, such as adding a timestamp (alter table tablename add colname timestamp DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP).

    Data type conversion support

    Read

    Greenplum Data Type
    Internal Types
    smallint,integer,bigint
    Long
    decimal,double precision,real
    Double
    character,character varying,
    String
    date
    Date
    boolean,bit
    Boolean

    Write

    Internal Types
    Greenplum Data Type
    Long
    smallint,integer,bigint
    Double
    decimal,double precision,real
    String
    character,character varying
    Date
    date
    Boolean
    bit,boolean
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