rdblue commented on a change in pull request #2021:
URL: https://github.com/apache/iceberg/pull/2021#discussion_r560585170
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File path:
spark3-extensions/src/test/java/org/apache/iceberg/spark/extensions/TestMergeIntoTable.java
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@@ -232,8 +235,65 @@ public void testSourceFromSetOps() throws
NoSuchTableException {
sql(sqlText, targetName);
sql("SELECT * FROM %s ORDER BY id, dep", targetName);
assertEquals("Should have expected rows",
- ImmutableList.of(row(1, "emp-id-1"), row(2, "emp-id-2")),
- sql("SELECT * FROM %s ORDER BY id ASC NULLS LAST", targetName));
+ ImmutableList.of(row(1, "emp-id-1"), row(2, "emp-id-2")),
+ sql("SELECT * FROM %s ORDER BY id ASC NULLS LAST", targetName));
+ }
+
+ @Test
+ public void testAmbiguousRowInTarget() throws NoSuchTableException {
+ append(targetName, new Employee(1, "emp-id-one"), new Employee(6,
"emp-id-6"));
+ append(sourceName, new Employee(1, "emp-id-first"), new Employee(1,
"emp-id-second"), new Employee(6, "emp-id-6"));
+ String sqlText = "MERGE INTO %s AS target " +
+ "USING %s AS source " +
+ "ON target.id = source.id " +
+ "WHEN MATCHED AND target.id = 1 THEN UPDATE SET * " +
+ "WHEN MATCHED AND target.id = 6 THEN DELETE " +
+ "WHEN NOT MATCHED AND source.id = 2 THEN INSERT * ";
+
+ String tabName = catalogName + "." + "default.target";
+ String errorMsg = "The same row of target table `" + tabName + "` was
identified more than\n" +
+ " once for an update, delete or insert operation of the MERGE
statement.";
+ AssertHelpers.assertThrows("Should complain ambiguous row in target",
+ SparkException.class, errorMsg, () -> sql(sqlText, targetName,
sourceName));
+ }
+
+ @Test
+ public void testDisableAmbiguousRowInTargetCheck() throws
NoSuchTableException {
+ append(targetName, new Employee(1, "emp-id-one"), new Employee(6,
"emp-id-6"));
+ append(sourceName, new Employee(1, "emp-id-1"), new Employee(1,
"emp-id-1"),
+ new Employee(2, "emp-id-2"), new Employee(6, "emp-id-6"));
Review comment:
I think it would be better if the query here is the same one that fails
in the test above. That way identical queries with identical data have
different behavior based on the table property.
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