WweiL commented on code in PR #42521:
URL: https://github.com/apache/spark/pull/42521#discussion_r1296451667
##########
python/pyspark/sql/tests/connect/streaming/test_parity_listener.py:
##########
@@ -19,38 +19,153 @@
import time
from pyspark.sql.tests.streaming.test_streaming_listener import
StreamingListenerTestsMixin
-from pyspark.sql.streaming.listener import StreamingQueryListener,
QueryStartedEvent
-from pyspark.sql.types import StructType, StructField, StringType
+from pyspark.sql.streaming.listener import (
+ StreamingQueryListener,
+ QueryStartedEvent,
+ QueryProgressEvent,
+ QueryIdleEvent,
+ QueryTerminatedEvent,
+)
+from pyspark.sql.types import (
+ ArrayType,
+ StructType,
+ StructField,
+ StringType,
+ IntegerType,
+ FloatType,
+ MapType,
+)
+from pyspark.sql.functions import count, lit
from pyspark.testing.connectutils import ReusedConnectTestCase
def get_start_event_schema():
return StructType(
[
- StructField("id", StringType(), True),
- StructField("runId", StringType(), True),
+ StructField("id", StringType(), False),
+ StructField("runId", StringType(), False),
StructField("name", StringType(), True),
- StructField("timestamp", StringType(), True),
+ StructField("timestamp", StringType(), False),
]
)
Review Comment:
I'm thinking of just move these methods to the `QueryxxxEvent`, maybe even
create a method that called `asDataFrame`, to save user's effort to create this
by themselves. For example, before:
```
def get_start_event_schema():
return StructType(
[
StructField("id", StringType(), False),
StructField("runId", StringType(), False),
StructField("name", StringType(), True),
StructField("timestamp", StringType(), False),
]
)
class TestListener(StreamingQueryListener):
def onQueryStarted(self, event):
df = self.spark.createDataFrame(
data=[(event.asDict())],
schema=get_start_event_schema(),
)
df.write.saveAsTable("listener_start_events")
```
Note that this looks simple because I wrote the `asDict` method, and the
`get_start_event_schema` method for test. In production, users need to do this
themselves. But these are really redundant, if we manage these:
For example:
```
class TestListener(StreamingQueryListener):
def onQueryStarted(self, event):
df = self.spark.createDataFrame(
data=[(event.asDict())],
schema=event.schema(),
)
df.write.saveAsTable("listener_start_events")
============= OR ===============
class TestListener(StreamingQueryListener):
def onQueryStarted(self, event):
df = event.asDataFrame(self.spark)
df.write.saveAsTable("listener_start_events")
```
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