rdblue commented on a change in pull request #1508:
URL: https://github.com/apache/iceberg/pull/1508#discussion_r698062644
##########
File path:
spark/src/test/java/org/apache/iceberg/spark/source/TestIcebergSourceTablesBase.java
##########
@@ -901,6 +915,199 @@ public void testPartitionsTable() {
}
}
+ @Test
+ public synchronized void testSnapshotReadAfterAddColumn() {
+ TableIdentifier tableIdentifier = TableIdentifier.of("db", "table");
+ Table table = createTable(tableIdentifier, SCHEMA,
PartitionSpec.unpartitioned());
+
+ List<Row> expectedRecords = Lists.newArrayList(
+ RowFactory.create(1, "x"),
+ RowFactory.create(2, "y"),
+ RowFactory.create(3, "z"));
+
+ Dataset<Row> inputDf = spark.createDataFrame(expectedRecords,
SparkSchemaUtil.convert(SCHEMA));
+ inputDf.select("id", "data").write()
+ .format("iceberg")
+ .mode(SaveMode.Append)
+ .save(loadLocation(tableIdentifier));
+
+ table.refresh();
+
+ Dataset<Row> resultDf = spark.read()
+ .format("iceberg")
+ .load(loadLocation(tableIdentifier));
+ List<Row> actualRecords = resultDf.orderBy("id")
+ .collectAsList();
+
+ Assert.assertEquals("Records should match", expectedRecords,
actualRecords);
+ Snapshot snapshot1 = table.currentSnapshot();
+
+ table.updateSchema().addColumn("category",
Types.StringType.get()).commit();
+
+ List<Row> newRecords = Lists.newArrayList(
+ RowFactory.create(4, "xy", "B"),
+ RowFactory.create(5, "xyz", "C"));
+
+ Dataset<Row> inputDf2 = spark.createDataFrame(newRecords,
SparkSchemaUtil.convert(SCHEMA2));
+ inputDf2.select("id", "data", "category").write()
+ .format("iceberg")
+ .mode(SaveMode.Append)
+ .save(loadLocation(tableIdentifier));
+
+ table.refresh();
+
+ Dataset<Row> resultDf2 = spark.read()
+ .format("iceberg")
+ .load(loadLocation(tableIdentifier));
+ List<Row> actualRecords2 = resultDf2.orderBy("id")
+ .collectAsList();
+
+ List<Row> expectedRecords2 = Lists.newArrayList(
+ RowFactory.create(1, "x", null),
+ RowFactory.create(2, "y", null),
+ RowFactory.create(3, "z", null),
+ RowFactory.create(4, "xy", "B"),
+ RowFactory.create(5, "xyz", "C"));
+ Assert.assertEquals("Records should match", expectedRecords2,
actualRecords2);
+
+ Dataset<Row> resultDf3 = spark.read()
+ .format("iceberg")
+ .option(SparkReadOptions.SNAPSHOT_ID, snapshot1.snapshotId())
+ .load(loadLocation(tableIdentifier));
+ List<Row> actualRecords3 = resultDf3.orderBy("id")
+ .collectAsList();
+
+ Assert.assertEquals("Records should match", expectedRecords,
actualRecords3);
Review comment:
It would be nice to have an assertion that the schema also matches.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
