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Glossary

TDSQL for PostgreSQL Data Source

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마지막 업데이트 시간: 2024-11-01 17:42:33

TDSQL for PostgreSQL Offline Single Table Read Node Configuration




Parameters
Description
Data Source
Select the configured TDSQL for PostgreSQL data source for the source end.
Database
Supports selecting or manually entering the library name to be read. By default, the database bound to the data source is used as the default library. For other databases, you need to manually enter the library name. 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. 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.
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)
Fill in the corresponding filter statement based on the data type. This statement will serve as the filter condition for the data to be synchronized.

TDSQL for PostgreSQL Offline Single Table Write Node Configuration




Parameters
Description
Data Destination
Select the configured TDSQL for PostgreSQL data source for the target end.
Database
Supports selecting or manually entering the library name to be read. By default, the database bound to the data source is used as the default library. For other databases, you need to manually enter the library name. 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. 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
You can manually choose whether to clear the data table before writing to the TDSQL for PostgreSQL data table.
Batch Submission Size
The size of the batch of records submitted at one time can greatly reduce the number of network interactions between the Data Synchronization System and TDSQL for PostgreSQL and improve overall throughput. If this value is set too large, it may cause the data synchronization running process to encounter OOM exceptions.
Pre-Executed SQL
SQL statements executed before the synchronization task. Fill in the SQL according to the correct SQL syntax corresponding to the data source type.
Post-Executed SQL
SQL statements executed after the synchronization task. Fill in the SQL according to the correct SQL syntax corresponding to the data source type.

Data type conversion support

The supported data types and corresponding transformations for TDSQL for PostgreSQL read are as follows (when processing TDSQL for PostgreSQL, the data types of the TDSQL for PostgreSQL data source and the data processing engine will be mapped first):

Read

TDSQL for PostgreSQL Data Type
Internal Types
smallint,integer,bigint,serial,bigserial
Long
double precision, money, numeric, real
Double
varchar(character varying), char(character)
String
date, time, timestamp
Date
bool(boolean)
Boolean
bytea
Bytes

Write

Internal Types
TDSQL for PostgreSQL Data Type
Long
smallint,integer,bigint
Double
double precision,numeric, real
String
varchar(character varying), char(character),bit,money
Date
date, time, timestamp
Boolean
bool
Bytes
bytea


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