Hi All,
1. Is there a way to do partial sort of say (timestamp column) in update
mode? I am currently using Spark 2.1.1 and its looks like it is not
possible however I am wondering if this possible in 2.2?
2. can we do full sort in update mode with a specified watermark? since
after a specified
Dear fellow Spark users,
I am having a bit of difficulty in understanding the exact behaviour
of *SparkAppHandle.Listener.infoChanged(SparkAppHandle
handle)* method. The documentation says :
*Callback for changes in any information that is not the handle's state.*
What exactly is meant by *any
You should be able to project a new column that is your group column. Then you
can group on the projected column.
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On Sat, Jun 3, 2017 at 6:26 PM -0400, "upendra 1991"
wrote:
Use a function
Sent from Yahoo Mail on
Use a function
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On Sat, Jun 3, 2017 at 5:01 PM, kant kodali wrote: Hi
All,
Is there a way to do conditional group by in spark 2.1.1? other words, I want
to do something like this
if (field1 == "foo") {
df.groupBy(field1)
} else
Hi All,
Is there a way to do conditional group by in spark 2.1.1? other words, I
want to do something like this
if (field1 == "foo") {
df.groupBy(field1)
} else if (field2 == "bar")
df.groupBy(field2)
Thanks
Hi Spark User,
I have run into some situation where Spark SQL is much slower than Parquet
MR for processing parquet files. Can you provide some guidance on
optimization?
Suppose I have a table "person" with columns: gender, age, name, address,
etc, which is stored in parquet files. I tried two