BsoBird commented on code in PR #11787:
URL: https://github.com/apache/iceberg/pull/11787#discussion_r1886334243


##########
docs/docs/spark-writes.md:
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@@ -101,6 +101,9 @@ Spark 3.5 added support for `WHEN NOT MATCHED BY SOURCE ... 
THEN ...` to update
 WHEN NOT MATCHED BY SOURCE THEN UPDATE SET status = 'invalid'
 ```
 
+!!! danger
+    Note: For copy on write table,Please Do Not Modify the Source Data Table 
During Execution.Due to the need for Spark to use the source table 
consecutively twice for computation,the relation which is created of source 
data must remain constant through the two different passes of the source 
data.If the source data query would return different results user will see odd 
behavior.

Review Comment:
   > Would it be possible to be more specific? What kind of odd behavior users 
will experience
   
   @Fokko  Hello,Sir. The most common situation encountered in our production 
environment is data loss



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