我在https://github.com/dataArtisans/flink-streaming-demo中下载了Flink-stream-demo的代码
此示例中的Flink版本为0.10。因此，我尝试修复代码以使其与FLINK 1.6.2兼容。
我遇到了以下无法修复的错误：
Error:(72, 52) type mismatch;
found : org.apache.flink.streaming.api.datastream.DataStreamSource[com.dataartisans.flink_demo.datatypes.TaxiRide]
required: org.apache.flink.streaming.api.scala.DataStream[com.dataartisans.flink_demo.datatypes.TaxiRide]
val rides: DataStream[TaxiRide] = env.addSource(new TaxiRideSource(
我认为这是导入包问题，但我无法解决。 SlidingArrivalCount.scala的标头是
import com.dataartisans.flink_demo.datatypes.{TaxiRide, GeoPoint}
import com.dataartisans.flink_demo.sinks.ElasticsearchUpsertSink
import com.dataartisans.flink_demo.sources.TaxiRideSource
import com.dataartisans.flink_demo.utils.{DemoStreamEnvironment,NycGeoUtils}
import org.apache.flink.streaming.api.TimeCharacteristic
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.api.windowing.time.Time
import org.apache.flink.streaming.api.windowing.windows.TimeWindow
import org.apache.flink.util.Collector
SourceFunction的标头是：
import com.dataartisans.flink_demo.datatypes.TaxiRide
import org.apache.flink.streaming.api.functions.source.SourceFunction
import org.apache.flink.streaming.api.functions.source.SourceFunction.SourceContext
错误代码是
val env: StreamExecutionEnvironment = DemoStreamEnvironment.env
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
// Define the data source
val rides: DataStream[TaxiRide] = env.addSource(new TaxiRideSource(
data, maxServingDelay, servingSpeedFactor))