)
> at
> org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
> at org.apache.spark.scheduler.Task.run(Task.scala:141)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
> at
> org.apache.spark.uti
Hi Mike,
I'm not sure about the minimum requirements of a machine for running Spark.
But to run some Pyspark scripts (and Jupiter notbebooks) on a local
machine, I found the following steps are the easiest.
I installed Amazon corretto and updated the java_home variable as
instructed here
https:/
Hi Alex,
Spark is an open source software available under Apache License 2.0 (
https://www.apache.org/licenses/), further details can be found here in the
FAQ page (https://spark.apache.org/faq.html).
Hope this helps.
Thanks,
Sadha
On Thu, Jun 6, 2024, 1:32 PM SANTOS SOUZA, ALEX
wrote:
> H
Hi Meena,
I'm asking to clarify, are the *on *& *and* keywords optional in the join
conditions?
Please try this snippet, and see if it helps
select rev.* from rev
inner join customer c
on rev.custumer_id =c.id
inner join product p
on rev.sys = p.sys
and rev.prin = p.prin
and rev.scode= p.bcode
I have faced the same problem, where hive and spark orc were using the
snappy compression.
Hive 2.1
Spark 2.4.8
I'm curious to learn what could be the root cause of this.
-S
On Tue, Oct 11, 2022, 2:18 AM Chartist <13289341...@163.com> wrote:
>
> Hi，All
>
> I encountered a problem as the e-mai
