aokolnychyi commented on code in PR #9050:
URL: https://github.com/apache/iceberg/pull/9050#discussion_r1408616206
##########
spark/v3.4/spark/src/main/java/org/apache/iceberg/spark/source/SparkWrite.java:
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@@ -390,7 +390,7 @@ private Expression conflictDetectionFilter() {
filter = Expressions.and(filter, expr);
}
- return filter;
+ return SERIALIZABLE == isolationLevel ? Expressions.alwaysTrue() :
filter;
Review Comment:
The proper way to ensure the MERGE statement above is serializable is to
perform the following checks:
- Validate no new data matching `ref(name="id") == 1005` is added to the
target table.
- Validate no new data matching `class = 1` is added to the source table.
We have the first part. I wonder if there is a workaround to validate the
second part, assuming it is also an Iceberg table, without a proper transaction
API in Spark. I'll need to think whether we can inject a custom rule to catch
this.
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