Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/14491 @ganeshchand Ah, I see, right. `Dataset<Row>` is `DataFrame` so you didn't change? I skimmed through the list I provided and it seems these are all and it seems `structured_network_wordcount.py` is loading `DataFrame` (Java one and Scala one are converting it to `Dataset<String>` explicitly). But I believe we still need to correct `structured-streaming-programming-guide.md`.
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