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[SPARK-17242][Document]Update links of external dstream projects #14814

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[SPARK-17242][Document]Update links of external dstream projects #14814

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8 changes: 2 additions & 6 deletions docs/streaming-programming-guide.md
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Expand Up @@ -656,7 +656,7 @@ methods for creating DStreams from files as input sources.
<span class="badge" style="background-color: grey">Python API</span> `fileStream` is not available in the Python API, only `textFileStream` is available.

- **Streams based on Custom Receivers:** DStreams can be created with data streams received through custom receivers. See the [Custom Receiver
Guide](streaming-custom-receivers.html) and [DStream Akka](https://github.com/spark-packages/dstream-akka) for more details.
Guide](streaming-custom-receivers.html) for more details.

- **Queue of RDDs as a Stream:** For testing a Spark Streaming application with test data, one can also create a DStream based on a queue of RDDs, using `streamingContext.queueStream(queueOfRDDs)`. Each RDD pushed into the queue will be treated as a batch of data in the DStream, and processed like a stream.

Expand Down Expand Up @@ -2383,11 +2383,7 @@ additional effort may be necessary to achieve exactly-once semantics. There are
- [Kafka Integration Guide](streaming-kafka-integration.html)
- [Kinesis Integration Guide](streaming-kinesis-integration.html)
- [Custom Receiver Guide](streaming-custom-receivers.html)
* External DStream data sources:
- [DStream MQTT](https://github.com/spark-packages/dstream-mqtt)
- [DStream Twitter](https://github.com/spark-packages/dstream-twitter)
- [DStream Akka](https://github.com/spark-packages/dstream-akka)
- [DStream ZeroMQ](https://github.com/spark-packages/dstream-zeromq)
* Third-party DStream data sources can be found in [Spark Packages](https://spark-packages.org/)
* API documentation
- Scala docs
* [StreamingContext](api/scala/index.html#org.apache.spark.streaming.StreamingContext) and
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