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-rw-r--r--streaming/src/main/scala/spark/streaming/StreamingContext.scala16
1 files changed, 1 insertions, 15 deletions
diff --git a/streaming/src/main/scala/spark/streaming/StreamingContext.scala b/streaming/src/main/scala/spark/streaming/StreamingContext.scala
index f97e47ada0..05be6bd58a 100644
--- a/streaming/src/main/scala/spark/streaming/StreamingContext.scala
+++ b/streaming/src/main/scala/spark/streaming/StreamingContext.scala
@@ -27,7 +27,7 @@ import org.apache.hadoop.mapreduce.{InputFormat => NewInputFormat}
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat
import org.apache.hadoop.fs.Path
import twitter4j.Status
-import twitter4j.auth.{Authorization, BasicAuthorization}
+import twitter4j.auth.Authorization
/**
* A StreamingContext is the main entry point for Spark Streaming functionality. Besides the basic
@@ -363,20 +363,6 @@ class StreamingContext private (
/**
* Create a input stream that returns tweets received from Twitter.
- * @param username Twitter username
- * @param password Twitter password
- * @param filters Set of filter strings to get only those tweets that match them
- * @param storageLevel Storage level to use for storing the received objects
- */
- def twitterStream(
- username: String,
- password: String,
- filters: Seq[String] = Nil,
- storageLevel: StorageLevel = StorageLevel.MEMORY_AND_DISK_SER_2
- ): DStream[Status] = twitterStream(new BasicAuthorization(username, password), filters, storageLevel)
-
- /**
- * Create a input stream that returns tweets received from Twitter.
* @param twitterAuth Twitter4J authentication
* @param filters Set of filter strings to get only those tweets that match them
* @param storageLevel Storage level to use for storing the received objects