From SAP HANA

**Table 1** Parameter description
Type	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	If you have set Use SQL Statement to Yes, enter an SQL statement. CDM exports data based on the SQL statement. NOTE: SQL statements can only be used to query data. Join and nesting are supported, but multiple query statements are not allowed, for example, *select from table a; select * from table b*. With statements are not supported. Comments, such as -- and /, are not supported. Addition, deletion, and modification operations are not supported, including but not limited to the following: load data delete from alter table create table drop table into outfile	select id,name from sqoop.user;
	Schema/Table Space	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. Some examples are as follows: SCHEMA indicates that all databases whose names starting with SCHEMA are exported. SCHEMA indicates that all databases whose names ending with SCHEMA* are exported. SCHEMA indicates that all databases whose names containing SCHEMA are exported.	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. Some examples are as follows: table indicates that all tables whose names starting with table are exported. table indicates that all tables whose names ending with table* are exported. table indicates that all tables whose names containing table are exported.	table
Advanced attributes	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)}'
	Partition Extraction 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
	Null for Partition Column	During concurrent extraction, if the partition column does not contain null, set this parameter to No to improve performance. If you are not sure whether the partition column contains null, set this parameter to Yes to avoid data loss.	Yes