No it's not supported.
Why don't you just run your example in spark batch and save the
dataframe/rdd to Phoenix? Your data is coming from a json file (which at
the end is a static source, not a stream)
On 23 Feb 2018 01:08, "Suhas H M" <mandahasa2...@gmail.com> wrote:
> Hi,
>
> Is spark structured streaming supported using Phoenix-Spark driver?
> when phoenix-spark driver is used to write the structured streamed data,
> we get the exception
>
> Exception in thread "main" java.lang.UnsupportedOperationException: Data
> source org.apache.phoenix.spark does not support streamed writing
> at
> org.apache.spark.sql.execution.datasources.DataSource.createSink(
> DataSource.scala:287)
> at
> org.apache.spark.sql.streaming.DataStreamWriter.
> start(DataStreamWriter.scala:266)
>
>
>
> Code:
>
> Dataset<Row> inputDF =
> sparkSession
> .readStream()
> .schema(jsonSchema)
> .json(inputPath);
>
>
>
> StreamingQuery query = inputDF
> .writeStream()
> .format("org.apache.phoenix.spark")
> .outputMode(OutputMode.Complete())
> .option("zkUrl", "localhost:2181")
> .option("table","SHM2")
> .start();
>
> query.awaitTermination();
>
>
> Jira - https://issues.apache.org/jira/browse/PHOENIX-4627
>
