To add target objects, click here.
Target Objects
To explore and change target objects:
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Click a source connector header to view its target objects.
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Click the v icon on the right of a target object to view its columns and data types.
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Mouse over the ? icon of a target object to view its metadata.
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Click the Load Now icon on a target object to load its data now.
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Click the More icon (…) on a target object to access additional features:
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Delete Object
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Design
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Duplicate Objects
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Preview Object
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Rename Object
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SQL Statement
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Tags
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Target Schema
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Freeze
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Click a target object name to access its control panel as a tab on the right area.
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Clicking on target objects will replace the content of the control panel on the right area.
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Use the tab pin to leave multiple target objects open. You can also drag pinned tabs to view multiple ones side by side, and/or one on top of each other.
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Target Object Metadata
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The top section shows name, schema, and other variables.
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The next section controls the Load Type:
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Load All: Mirrors all source rows each run.
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Replace: Mirrors source rows based on the Replace criteria.
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Upsert: Updates changed source rows and inserts new ones.
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Append: Append source rows.
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The bottom section shows columns and their data types.
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Click the Design button (top right) to edit the Column Metadata. More details below.
Target Object Extract SQL
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The right side provides the Extract SQL panel.
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When adding a target object, ETL+ will automatically write the Extract SQL mapping all available source columns.
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The SQL follows the source SQL syntax. For instance, T-SQL for MS SQL, and MySQL dialect for MySQL. Keep in mind that some sources provide little to no SQL transformations during the extraction.
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One can edit the SQL Extract as needed.
Design Target Object
The Design button on the top right of the tab allows users to review and change several features of a target object:
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SPK (Source Primary Key, if available): Shows the source columns and their order in the source’s PK.
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Key+: the list and order of columns to define the index for sort data extractions, if applicable.
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Source column name.
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Source Data Type.
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Force: This forces the load of a source data column into a varchar(max) column. This is helpful in some SQL failures when loading data. For instance, a SQL datetime column only accepts certain date ranges, loading the source into a varchar(max) will import all values.
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Dw Data Type: Allows users to change the data warehouse target data type. When the user changes the target dw data type, ETL+ will write/suggest a T-SQL Expression when needed.
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Metadata: Users can write a description for each column for documentation purposes.
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T-SQL Expression: Users can customize the T-SQL to apply transformations at the column level during the extraction process.