Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/6830#discussion_r32778271
--- Diff:
external/flume/src/main/scala/org/apache/spark/streaming/flume/FlumeUtils.scala
---
@@ -236,3 +242,71 @@ object FlumeUtils {
createPollingStream(jssc.ssc, addresses, storageLevel, maxBatchSize,
parallelism)
}
}
+
+/**
+ * This is a helper class that wraps the methods in FlumeUtils into more
Python-friendly class and
+ * function so that it can be easily instantiated and called from Python's
FlumeUtils.
+ */
+private class FlumeUtilsPythonHelper {
+
+ def createStream(
+ jssc: JavaStreamingContext,
+ hostname: String,
+ port: Int,
+ storageLevel: StorageLevel,
+ enableDecompression: Boolean
+ ): JavaPairDStream[Array[Byte], Array[Byte]] = {
+ val dstream = FlumeUtils.createStream(jssc, hostname, port,
storageLevel, enableDecompression)
+ FlumeUtilsPythonHelper.toDStreamForPython(dstream)
+ }
+
+ def createPollingStream(
+ jssc: JavaStreamingContext,
+ hosts: JList[String],
+ ports: JList[Int],
--- End diff --
Java-friendliness. So that there are no issues that can arise when calling
from python through py4j. This is not meant to be called by public so this is
sort-of-okay.
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