Deletion vector with partitioned table returns incorrect results in Delta Lake connector

[ebyhr]

Steps to create a table on Spark:

CREATE TABLE test (id int, part int) using delta partitioned by (part) TBLPROPERTIES ('delta.enableDeletionVectors' = true);
INSERT INTO test VALUES (1,1), (2,1);
DELETE FROM test WHERE id = 1;
SELECT * FROM test;
2	1

Read the table on Trino:

TABLE delta.default.test;
 id | part
----+------
(0 rows)

Also, it may throw an exception in some situation:

io.trino.spi.TrinoException: Index 1 out of bounds for length 1
at io.trino.plugin.deltalake.DeltaLakePageSource.getNextPage(DeltaLakePageSource.java:206)
at io.trino.operator.TableScanOperator.getOutput(TableScanOperator.java:291)
at io.trino.operator.Driver.processInternal(Driver.java:395)
at io.trino.operator.Driver.lambda$process$8(Driver.java:298)
at io.trino.operator.Driver.tryWithLock(Driver.java:701)
at io.trino.operator.Driver.process(Driver.java:290)
at io.trino.operator.Driver.processForDuration(Driver.java:261)
at io.trino.execution.SqlTaskExecution$DriverSplitRunner.processFor(SqlTaskExecution.java:887)
at io.trino.execution.executor.timesharing.PrioritizedSplitRunner.process(PrioritizedSplitRunner.java:187)
at io.trino.execution.executor.timesharing.TimeSharingTaskExecutor$TaskRunner.run(TimeSharingTaskExecutor.java:565)
at io.trino.$gen.Trino_xxx____20240417_154334_2.run(Unknown Source)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1144)