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On Fri, Jan 15, 2021 at 9:52 AM Dilip Desavali
wrote:
> Unsubscribe
>
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You need to make sure the delta-core_2.11-0.6.1. jar file in your
$SPARK_HOME/jars folder.
On Thu, Jan 14, 2021 at 4:59 AM András Kolbert
wrote:
> sorry missed out a bit. Added, highlighted with yellow.
>
> On Thu, 14 Jan 2021 at 13:54, András Kolbert
> wrote:
>
>> Thanks, Muru, very helpful
sorry missed out a bit. Added, highlighted with yellow.
On Thu, 14 Jan 2021 at 13:54, András Kolbert
wrote:
> Thanks, Muru, very helpful suggestion! Delta Lake is amazing, completely
> changed a few of my projects!
>
> One question regarding that.
> When I use the following statement, all works
Thanks, Muru, very helpful suggestion! Delta Lake is amazing, completely
changed a few of my projects!
One question regarding that.
When I use the following statement, all works fine and I can use delta
properly, in the spark context that jupyter initiates automatically.
export
You could try Delta Lake or Apache Hudi for this use case.
On Sat, Jan 9, 2021 at 12:32 PM András Kolbert
wrote:
> Sorry if my terminology is misleading.
>
> What I meant under driver only is to use a local pandas dataframe (collect
> the data to the master), and keep updating that instead of
Sorry if my terminology is misleading.
What I meant under driver only is to use a local pandas dataframe (collect
the data to the master), and keep updating that instead of dealing with a
spark distributed dataframe for holding this data.
For example, we have a dataframe with all users and their
Could you please clarify what do you mean by 1)? Driver is only
responsible for submitting Spark job, not performing.
-- ND
On 1/9/21 9:35 AM, András Kolbert wrote:
Hi,
I would like to get your advice on my use case.
I have a few spark streaming applications where I need to keep
updating a
Hi,
I would like to get your advice on my use case.
I have a few spark streaming applications where I need to keep updating a
dataframe after each batch. Each batch probably affects a small fraction of
the dataframe (5k out of 200k records).
The options I have been considering so far:
1) keep
