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January 25, 2019 13:14
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Jacek Laskowski's code is not-working
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scala> println("This answer actually got some points on SO https://stackoverflow.com/a/53981675/918211") | |
This answer actually got some points on SO https://stackoverflow.com/a/53981675/918211 | |
scala> println(spark.version) | |
2.4.0 | |
scala> val sq = spark.readStream.format("rate").load | |
sq: org.apache.spark.sql.DataFrame = [timestamp: timestamp, value: bigint] | |
scala> :type sq | |
org.apache.spark.sql.DataFrame | |
scala> assert(sq.isStreaming) | |
scala> :paste | |
// Entering paste mode (ctrl-D to finish) | |
import org.apache.spark.sql.DataFrame | |
sq.writeStream.foreachBatch { case (ds: DataFrame, batchId: Long) => | |
// do whatever you want with your input DataFrame | |
// incl. writing to Hive | |
// I simply decided to print out the rows to the console | |
ds.show | |
}.start | |
// Exiting paste mode, now interpreting. | |
<pastie>:28: warning: non-variable type argument org.apache.spark.sql.Row in type pattern org.apache.spark.sql.Dataset[org.apache.spark.sql.Row] (the underlying of org.apache.spark.sql.DataFrame) is unchecked since it is eliminated by erasure | |
sq.writeStream.foreachBatch { case (ds: DataFrame, batchId: Long) => | |
^ | |
<pastie>:28: error: missing parameter type for expanded function | |
The argument types of an anonymous function must be fully known. (SLS 8.5) | |
Expected type was: ? | |
sq.writeStream.foreachBatch { case (ds: DataFrame, batchId: Long) => | |
^ |
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