From PostgreSQL/SQL Server
If the source link of a job is an RDS for PostgreSQL, RDS for SQL Server, PostgreSQL, or Microsoft SQL Server link, configure the source job parameters based on Table 1.
Category |
Parameter |
Description |
Example Value |
---|---|---|---|
Basic parameters |
Use SQL Statement |
Whether you can use SQL statements to export data from a relational database |
No |
SQL Statement |
When Use SQL Statement is set to Yes, enter an SQL statement here. CDM exports data based on the SQL statement.
NOTE:
|
select id,name from sqoop.user; |
|
Schema/Tablespace |
Name of the schema or tablespace from which data will be extracted. This parameter is displayed when Use SQL Statement is set to No. Click the icon next to the text box to go to the page for selecting a schema or directly enter a schema or tablespace. If the desired schema or tablespace is not displayed, check whether the login account has the permissions required to query metadata.
NOTE:
The parameter value can contain wildcard characters (*), which is used to export all databases whose names start with a certain prefix or end with a certain suffix. The examples are as follows:
|
SCHEMA_E |
|
Table Name |
Name of the table from which data will be extracted. This parameter is displayed when Use SQL Statement is set to No. Click the icon next to the text box to go to the page for selecting the table or directly enter a table name. If the desired table is not displayed, check whether the table exists or whether the login account has the permission to query metadata. This parameter can be configured as a macro variable of date and time and a path name can contain multiple macro variables. When the macro variable of date and time works with a scheduled job, the incremental data can be synchronized periodically. For details, see Incremental Synchronization Using the Macro Variables of Date and Time.
NOTE:
If you have configured a macro variable of date and time and schedule a CDM job through DataArts Studio DataArts Factory, the system replaces the macro variable of date and time with (Planned start time of the data development job – Offset) rather than (Actual start time of the CDM job – Offset).
NOTE:
The table name can contain wildcard characters (*), which is used to export all tables whose names start with a certain prefix or end with a certain suffix. The number and types of fields in the tables must be the same. The examples are as follows:
|
table |
|
Advanced attributes |
Partition Column |
This parameter is displayed when Use SQL Statement is set to No, indicating that a field used to split data during data extraction. CDM splits a job into multiple tasks based on this field and executes the tasks concurrently. Fields with data distributed evenly are used, such as the sequential number field. Click the icon next to the text box to go to the page for selecting a field or directly enter a field.
NOTE:
The following types of partition columns are supported: TINYINT, SMALLINT, INTEGER, BIGINT, REAL, FLOAT, DOUBLE, NUMERIC, DECIMAL, BIT, BOOLEAN, DATE, TIME, and TIMESTAMP. It is recommended that the partition column have an index. |
id |
Where Clause |
WHERE clause used to specify the data extraction range. This parameter is displayed when Use SQL Statement is set to No. If this parameter is not set, the entire table is extracted. You can set a date macro variable to extract data generated on a specific date. For details, see Incremental Migration of Relational Databases.
NOTE:
If you have configured a macro variable of date and time and schedule a CDM job through DataArts Studio DataArts Factory, the system replaces the macro variable of date and time with (Planned start time of the data development job – Offset) rather than (Actual start time of the CDM job – Offset). |
DS='${dateformat(yyyy-MM-dd,-1,DAY)}' |
|
Null in Partition Column |
Whether the partition column can contain null values |
Yes |
|
Extract by Partition |
Data can be extracted from each partition in the partitioned table. If this function is enabled, you can configure Table Partition to specify specific table partitions from which data is extracted.
|
No |
|
Split Job |
If this parameter is set to Yes, the job is split into multiple subjobs based on the value of Job Split Field, and the subjobs are executed concurrently.
NOTE:
This parameter and parameters Job Split Field, Minimum Split Field Value, Maximum Split Field Value, and Number of subjobs are available only when the destination link is a DLI or Hive link. |
Yes |
|
Job Split Field |
Field used to split a job into multiple subjobs for concurrent execution. This parameter is available when Split Job is set to Yes. |
- |
|
Minimum Split Field Value |
Minimum value of Job Split Field during data extraction. This parameter is available when Split Job is set to Yes. |
- |
|
Maximum Split Field Value |
Maximum value of Job Split Field during data extraction. This parameter is available when Split Job is set to Yes. |
- |
|
Number of subjobs |
Number of subjobs split from a job for concurrent execution based on the data range specified by the minimum and maximum values of Job Split Field. This parameter is available when Split Job is set to Yes. |
- |
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