Hi
Finally, i found a configuraiton parameter: spark.default.parallelism
Change this parmater will finally change the parallel running exeutor
amount, although log file still says first 15 tasks ... blabla.
Any way, my problem is solved.
-- Original
You’ll need to “unpack” the array using an asterisk in python like so:
df = df.groupBy(groupBy_cols).sum(*agged_cols_list)
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Hey All
I am facing this error while running spark on kubernetes, can anyone
suggest what can be corrected here?
I am using minikube and spark 2.4 to run a spark submit with cluster mode.
default-scheduler 0/1 nodes are available: 1 Insufficient cpu.
Regards
Rajat
Pass more partitions to the second argument of parallelize()?
On Mon, Dec 21, 2020 at 7:39 AM 沈俊 wrote:
> Hi
>
> I am now trying to use spark to do tcpdump pcap file analysis. The first
> step is to read the file and parse the content to dataframe according to
> analysis requirements.
>
> I've
Hi
I am now trying to use spark to do tcpdump pcap file analysis. The first
step is to read the file and parse the content to dataframe according to
analysis requirements.
I've made a public folder for all executors so that they can access it directly
like a local file system.
Here is the
Hi,
This sounds like a bug. It works if I put an *arbitrary limit on insert*
INSERT INTO TABLE test.randomData
SELECT
ID
, CLUSTERED
, SCATTERED
, RANDOMISED
, RANDOM_STRING
, SMALL_VC
, PADDING
FROM tmp
LIMIT 1000
This works fi
