What is your use case?
> On 23. Apr 2018, at 23:27, kant kodali wrote:
>
> Hi All,
>
> Is it ok to make I/O calls in UDF? other words is it a standard practice?
>
> Thanks!
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yes for sure it works. I am just not sure if it is a good idea when getting
a stream of messages from kafka?
On Mon, Apr 23, 2018 at 2:54 PM, Sathish Kumaran Vairavelu <
vsathishkuma...@gmail.com> wrote:
> I have made simple rest call within UDF and it worked but not sure if it
> can be applied f
I have made simple rest call within UDF and it worked but not sure if it
can be applied for large datasets but may be for small lookup files. Thanks
On Mon, Apr 23, 2018 at 4:28 PM kant kodali wrote:
> Hi All,
>
> Is it ok to make I/O calls in UDF? other words is it a standard practice?
>
> Thank
Hi All,
Is it ok to make I/O calls in UDF? other words is it a standard practice?
Thanks!
guys
here the illustration
https://github.com/parisni/SparkPdfExtractor
Please add issues if any questions or improvement ideas
Enjoy
Cheers
2018-04-23 20:42 GMT+02:00 unk1102 :
> Thanks much Nicolas really appreciate it.
>
>
>
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Hi Ashwin,
This sounds like it might be a good use for Apache Arrow, if you are open
to the type of format to exchange. As of Spark 2.3, Dataset has a method
"toArrowPayload" that will convert a Dataset of Rows to a byte array in
Arrow format, although the API is currently not public. Your clien
Hi!
I'm building a spark app which runs a spark-sql query and send results to
client over grpc(my proto file is configured to send the sql output as
"bytes"). The client then displays the output rows. When I run spark.sql, I
get a DataSet. How do I convert this to byte array?
Also is there a better
Hi,
I am using structured spark streaming which reads jsonl files and writes
into parquet files. I am wondering what's the process if jsonl files schema
change.
Suppose jsonl files are generated in \jsonl folder and the old schema is {
"field1": String}. My proposal is:
1. write the jsonl files
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Regards,
Varma Dantuluri
Thanks much Nicolas really appreciate it.
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Thanks for the reply formice. I think that --supervise param helps to
restart the whole spark application - what I want to be able to do is to
only restart the structured streaming query which terminated due to error.
Also, I am running my app in client mode.
Thanks,
Priyank
On Sun, Apr 22, 2018
sure then let me recap steps:
1. load pdfs in a local folder to hdfs avro
2. load avro in spark as a RDD
3. apply pdfbox to each csv and return content as string
4. write the result as a huge csv file
That's some work guys for me to push all that. Should find some time
however within 7 days
@unk1
Yes Nicolas.
It would be great hell if you can push code to github and share URL.
Thanks
Deepak
On Mon, Apr 23, 2018, 23:00 unk1102 wrote:
> Hi Nicolas thanks much for guidance it was very useful information if you
> can
> push that code to github and share url it would be a great help. Looking
Hi Nicolas thanks much for guidance it was very useful information if you can
push that code to github and share url it would be a great help. Looking
forward. If you can find time to push early it would be even greater help as
I have to finish POC on this use case ASAP.
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2018-04-23 18:59 GMT+02:00 unk1102 :
> Hi Nicolas thanks much for the reply. Do you have any sample code
> somewhere?
>
I have some open-source code. I could find time to push on github if
needed.
> Do your just keep pdf in avro binary all the time?
yes, I store them. Actually, I did that
Hi Nicolas thanks much for the reply. Do you have any sample code somewhere?
Do your just keep pdf in avro binary all the time? How often you parse into
text using pdfbox? Is it on demand basis or you always parse as text and
keep pdf as binary in avro as just interim state?
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Is there any open source code base to refer to for this kind of use case ?
Thanks
Deepak
On Mon, Apr 23, 2018, 22:13 Nicolas Paris wrote:
> Hi
>
> Problem is number of files on hadoop;
>
>
> I deal with 50M pdf files. What I did is to put them in an avro table on
> hdfs,
> as a binary column.
>
Hi
Problem is number of files on hadoop;
I deal with 50M pdf files. What I did is to put them in an avro table on
hdfs,
as a binary column.
Then I read it with spark and push that into pdfbox.
Transforming 50M pdfs into text took 2hours on a 5 computers clusters
About colors and formating, I
Hi I need guidance on dealing with large no of pdf files when using Hadoop
and Spark. Can I store as binaryFiles using sc.binaryFiles and then convert
it to text using pdf parsers like Apache Tika or PDFBox etc or I convert it
into text using these parsers and store it as text files but in doing so
Hello All,
While loading any data to hive table using talend, following error coming.
Please help.
Error while processing statement: hive configuration hive.query.name does
not exists.
Kind Regards
Saran Pal
+91 981-888-0977
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