@@ -5,7 +5,7 @@ author: kromerm
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ms.author : makromer
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ms.service : data-factory
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ms.topic : conceptual
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- ms.date : 09/30 /2019
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+ ms.date : 11/17 /2019
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---
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# Mapping data flow Expression Builder
@@ -73,6 +73,40 @@ With expression functions that return arrays, use square brackets [] to address
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When you have column names that include special characters or spaces, surround the name with curly braces.
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* ``` {[dbo].this_is my complex name$$$} ```
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+ ## Keyboard shortcuts
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+ * ``` Ctrl-K Ctrl-C ``` : Comments entire line
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+ * ``` Ctrl-K Ctrl-U ``` : Uncomment
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+ * ``` F1 ``` : Provide editor help commands
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+ * ``` Alt-Down Arrow ``` : Move current line down
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+ * ``` Alt-Up Arrow ``` : Move current line up
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+ * ``` Cntrl-Space ``` : Show context help
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+ ## Manual comments
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+ * ``` /* This is my comment */ ```
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+ * ``` /* This is a ```
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+ * ``` multi-line comment */ ```
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+ * ``` // This is a single line comment ```
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+ If you put a comment at the top of your expression, it will appear in the transformation text box to document your transformation expressions:
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+ ![ Comments] ( media/data-flow/comments2.png " Comments ")
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+ ## Convert to dates or timestamps
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+ ``` toString(toTimestamp('12/31/2016T00:12:00', 'MM/dd/yyyy\'T\'HH:mm:ss'), 'MM/dd /yyyy\'T\'HH:mm:ss') ```
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+ Note that to include string literals in your timestamp output, you need to wrap your conversion inside of a toString()
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+ ## Handling column names with special characters
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+ When you have column names that include special characters or spaces, surround the name with curly braces.
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+ ``` {[dbo].this_is my complex name$$$} ```
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## Next steps
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[ Begin building data transformation expressions] ( data-flow-expression-functions.md )
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