You can write it to the memory sink.
df.writeStream.format("memory").queryName("myStream").start()
spark.table("myStream").show()
On Wed, May 17, 2017 at 7:55 PM, kant kodali wrote:
> Hi All,
>
> How to see the full contents of dataset or dataframe is structured
>
Looks like there is .option("truncate", "false")
On Wed, May 17, 2017 at 11:30 PM, Jörn Franke wrote:
> You can also write it into a file and view it using your favorite
> viewer/editor
>
> On 18. May 2017, at 04:55, kant kodali wrote:
>
> Hi All,
>
>
so for console sink it is not possible?
On Wed, May 17, 2017 at 11:30 PM, Jörn Franke wrote:
> You can also write it into a file and view it using your favorite
> viewer/editor
>
> On 18. May 2017, at 04:55, kant kodali wrote:
>
> Hi All,
>
> How to
You can also write it into a file and view it using your favorite viewer/editor
> On 18. May 2017, at 04:55, kant kodali wrote:
>
> Hi All,
>
> How to see the full contents of dataset or dataframe is structured streaming
> just like we normally with df.show(false)? Is
Hi All,
How to see the full contents of dataset or dataframe is structured
streaming just like we normally with *df.show(false)*? Is there any
parameter I can pass in to the code below?
val df1 = df.selectExpr("payload.data.*");
df1.writeStream().outputMode("append").format("console").start()