Hi Ye,
This is super super helpful! It wasn't obvious to me from the documentation
that this property needed to be set in the yarn-site.xml file, as all other
configurations in the main spark configuration page are set through spark
conf. It was particularly confusing because this property, like
Sid, dump one of yours files.
https://sparkbyexamples.com/pyspark/pyspark-read-csv-file-into-dataframe/
ons. 25. mai 2022, 23:04 skrev Sid :
> I have 10 columns with me but in the dataset, I observed that some records
> have 11 columns of data(for the additional column it is marked as null).
I have 10 columns with me but in the dataset, I observed that some records
have 11 columns of data(for the additional column it is marked as null).
But, how do I handle this?
Thanks,
Sid
On Thu, May 26, 2022 at 2:22 AM Sid wrote:
> How can I do that? Any examples or links, please. So, this
How can I do that? Any examples or links, please. So, this works well with
pandas I suppose. It's just that I need to convert back to the spark data
frame by providing a schema but since we are using a lower spark version
and pandas won't work in a distributed way in the lower versions,
therefore,
Forgot to reply-all last message, whoops. Not very good at email.
You need to normalize the CSV with a parser that can escape commas inside
of strings
Not sure if Spark has an option for this?
On Wed, May 25, 2022 at 4:37 PM Sid wrote:
> Thank you so much for your time.
>
> I have data like
Thank you so much for your time.
I have data like below which I tried to load by setting multiple options
while reading the file but however, but I am not able to consolidate the
9th column data within itself.
[image: image.png]
I tried the below code:
df = spark.read.option("header",
Dear Sid,
can you please give us more info? Is it true that every line may have a
different number of columns? Is there any rule followed by
every line of the file? From the information you have sent I cannot
fully understand the "schema" of your data.
Regards,
Apostolos
On 25/5/22
Hi Experts,
I have below CSV data that is getting generated automatically. I can't
change the data manually.
The data looks like below:
2020-12-12,abc,2000,,INR,
2020-12-09,cde,3000,he is a manager,DOLLARS,nothing
2020-12-09,fgh,,software_developer,I only manage the development part.
Since I
Hi,
After some heavy usage, spark thrift server is not releasing memory and
when i enabled gc logging. Here is the output from GC Log.
```
2022-05-25T06:34:50.577+: 581403.163: [Full GC (System.gc())
8322M->8224M(26312M), 10.8605086 secs]
[Eden: 104.0M(14784.0M)->0.0B(14784.0M) Survivors:
To me, it seems like the data being processed on the 2 systems is not
identical. Can't think of any other reason why the single task stage will
get a different number of input records in the 2 cases. 700gb of input to a
single task is not good, and seems to be the bottleneck.
On Wed, 25 May 2022,
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