chaoqin-li1123 commented on code in PR #46306:
URL: https://github.com/apache/spark/pull/46306#discussion_r1585866969
##########
python/pyspark/sql/tests/test_python_streaming_datasource.py:
##########
@@ -150,6 +178,20 @@ def check_batch(df, batch_id):
q.awaitTermination
self.assertIsNone(q.exception(), "No exception has to be propagated.")
+ def test_simple_stream_reader(self):
+ self.spark.dataSource.register(self._get_simple_data_source())
+ df = self.spark.readStream.format("SimpleDataSource").load()
+
+ def check_batch(df, batch_id):
+ assertDataFrameEqual(df, [Row(batch_id * 2), Row(batch_id * 2 +
1)])
+
+ q = df.writeStream.foreachBatch(check_batch).start()
+ while len(q.recentProgress) < 10:
+ time.sleep(0.2)
+ q.stop()
+ q.awaitTermination
+ self.assertIsNone(q.exception(), "No exception has to be propagated.")
+
def test_stream_writer(self):
input_dir =
tempfile.TemporaryDirectory(prefix="test_data_stream_write_input")
output_dir =
tempfile.TemporaryDirectory(prefix="test_data_stream_write_output")
Review Comment:
Fixed.
##########
python/pyspark/sql/tests/test_python_streaming_datasource.py:
##########
@@ -150,6 +178,20 @@ def check_batch(df, batch_id):
q.awaitTermination
self.assertIsNone(q.exception(), "No exception has to be propagated.")
+ def test_simple_stream_reader(self):
+ self.spark.dataSource.register(self._get_simple_data_source())
+ df = self.spark.readStream.format("SimpleDataSource").load()
+
+ def check_batch(df, batch_id):
+ assertDataFrameEqual(df, [Row(batch_id * 2), Row(batch_id * 2 +
1)])
+
+ q = df.writeStream.foreachBatch(check_batch).start()
+ while len(q.recentProgress) < 10:
+ time.sleep(0.2)
+ q.stop()
+ q.awaitTermination
+ self.assertIsNone(q.exception(), "No exception has to be propagated.")
+
def test_stream_writer(self):
input_dir =
tempfile.TemporaryDirectory(prefix="test_data_stream_write_input")
Review Comment:
Fixed.
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