From MySQL

Data can be exported from a MySQL database.

**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	When Use SQL Statement is set to Yes, enter an SQL statement here. 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 If the SQL statement is too long, the request fails to be delivered. If you continue to create a job, the system displays an error message indicating that the request is incorrect. In this case, you need to simplify or clear the SQL statement and try again.	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. This parameter can be set to a regular expression to export all databases that meet the rule.	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. This parameter can be set to a regular expression to export all databases that meet the rule. For example, if Table Name is set to user_[0-9]{1,2}, tables from user_0 to user_9 and from user_00 to user_99 are matched. 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).	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)}'
	Retain One Decimal Place for Date Values	Whether to retain one decimal place for date values.	No
	Extract by Partition	When data is exported from a MySQL database, data can be extracted from each partition in the partitioned table. If this function is enabled, you can configure Table Partition to specify specific MySQL table partitions from which data is extracted. This function does not support non-partitioned tables. The database user must have the SELECT permission on the system views dba_tab_partitions and dba_tab_subpartitions.	No
	Partition Extraction Column	This parameter is displayed when Extract by Partition is set to No, indicating 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	Whether the partition field can contain null values. This parameter is displayed when Extract by Partition is set to No. 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. Example value: Yes	Yes