dianfu commented on code in PR #19919:
URL: https://github.com/apache/flink/pull/19919#discussion_r895511261
##########
flink-python/pyflink/datastream/connectors/__init__.py:
##########
@@ -16,58 +16,26 @@
# limitations under the License.
################################################################################
from pyflink.datastream.connectors.base import Sink, Source, DeliveryGuarantee
+from pyflink.datastream.connectors.number_seq import NumberSequenceSource
from pyflink.datastream.connectors.file_system import (FileEnumeratorProvider,
FileSink, FileSource,
BucketAssigner,
FileSourceBuilder,
FileSplitAssignerProvider, OutputFileConfig,
RollingPolicy,
StreamFormat,
StreamingFileSink)
-from pyflink.datastream.connectors.jdbc import JdbcSink,
JdbcConnectionOptions, JdbcExecutionOptions
-from pyflink.datastream.connectors.kafka import FlinkKafkaConsumer,
FlinkKafkaProducer, Semantic
-from pyflink.datastream.connectors.number_seq import NumberSequenceSource
-from pyflink.datastream.connectors.pulsar import PulsarDeserializationSchema,
PulsarSource, \
- PulsarSourceBuilder, SubscriptionType, StartCursor, StopCursor,
PulsarSerializationSchema, \
- PulsarSink, PulsarSinkBuilder, MessageDelayer, TopicRoutingMode
-from pyflink.datastream.connectors.rabbitmq import RMQConnectionConfig,
RMQSource, RMQSink
-from pyflink.datastream.connectors.kinesis import (FlinkKinesisConsumer,
KinesisStreamsSink,
- KinesisFirehoseSink)
-
__all__ = [
'Sink',
'Source',
'DeliveryGuarantee',
+ 'NumberSequenceSource',
+ 'BucketAssigner',
'FileEnumeratorProvider',
'FileSink',
'FileSource',
- 'BucketAssigner',
'FileSourceBuilder',
'FileSplitAssignerProvider',
- 'FlinkKafkaConsumer',
- 'FlinkKafkaProducer',
- 'Semantic',
- 'JdbcSink',
- 'JdbcConnectionOptions',
- 'JdbcExecutionOptions',
- 'NumberSequenceSource',
'OutputFileConfig',
- 'PulsarDeserializationSchema',
- 'PulsarSource',
- 'PulsarSourceBuilder',
- 'SubscriptionType',
- 'PulsarSerializationSchema',
- 'PulsarSink',
- 'PulsarSinkBuilder',
- 'MessageDelayer',
- 'TopicRoutingMode',
- 'RMQConnectionConfig',
- 'RMQSource',
- 'RMQSink',
'RollingPolicy',
Review Comment:
@deadwind4 Yes, of course. BTW, we should also considering the backward
compatibility. One way that that may work is as following:
```
def _install():
from pyflink.datastream.connectors import jdbc
setattr(pyflink.datastream.connectors, 'JdbcSink', jdbc.JdbcSink)
...
_install()
del _install
```
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