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added hint about the existence about the Kotlin Spark API in the I/O docs of DataFrame.
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docs/StardustDocs/topics/io.md

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When you work with data, you have to [read](read.md) it from disk or from remote URLs and [write](write.md) it on disk.
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This section describes how to do it. For now, CSV, TSV, JSON, XLS, XLSX, Apache Arrow formats are supported.
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Working with [Apache Spark](https://spark.apache.org/) directly from Kotlin DataFrame is not possible at the time of
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writing. However, there is a [Kotlin Spark API](https://github.com/Kotlin/kotlin-spark-api) which we can recommend in
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the meantime. If you do want to work with data from Spark in Kotlin DataFrame, we recommend exporting your data to CSV or
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the Apache Arrow format and then reading it back into a [DataFrame](DataFrame.md).

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