That repartition seems to do nothing? But yes the key point is use col()
On Thu, Jun 9, 2022, 9:41 PM Stelios Philippou wrote:
> Perhaps
>
>
> finalDF.repartition(finalDF.rdd.getNumPartitions()).withColumn("status_for_batch
>
> To
>
>
Hi,
I am trying to read data from confluent Kafka using avro schema registry.
Messages are always empty and stream always shows empty records. Any suggestion
on this please ??
Thanks,
Asmath
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Perhaps
finalDF.repartition(finalDF.rdd.getNumPartitions()).withColumn("status_for_batch
To
finalDF.repartition(finalDF.rdd.getNumPartitions()).withColumn(col("status_for_batch")
On Thu, 9 Jun 2022, 22:32 Sid, wrote:
> Hi Experts,
>
> I am facing one problem while passing a column to the
Hi Experts,
I am facing one problem while passing a column to the method. The problem
is described in detail here:
https://stackoverflow.com/questions/72565095/how-to-pass-columns-as-a-json-record-to-the-api-method-using-pyspark
TIA,
Sid
If KM is kilometre then you must replace val distance = atan2(sqrt(a), sqrt
(-a + 1)) * 2 * 6371
to val distance = atan2(sqrt(a), sqrt(-a + 1)) * 2 * 12742
Have a look at this gnist Spherical distance calcualtion based on latitude
and longitude with Apache Spark
Thanks Stephen! I will try this out.
On Thu, 9 Jun, 2022, 6:02 am Stephen Coy, wrote:
> Hi there,
>
> We use something like:
>
> /*
> * Force Spark to initialise the defaultParallelism by executing a dummy
> parallel operation and then return
> * the resulting defaultParallelism.
> */
>
