On Sun, Oct 16, 2016 at 3:50 AM, wrote:
> Think of it as jsonl instead of a json file.
> Point people at this if they need an official looking spec:
> http://jsonlines.org/
>
That link is awesome. I think it would be great if someone could open a PR
to add this to our
thank you!
But I think is's user unfriendly to process standard json file with
DataFrame. Need we provide a new overrided method to do this?
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Think of it as jsonl instead of a json file.
Point people at this if they need an official looking spec:
http://jsonlines.org/
One good reason for using this format is you can split mid file easily.
This make it work well with standard unix tools in pipes.
On Sun, 16 Oct 2016 at 16:24
Thank you very much! I will have a look about your link.
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Sent from the Apache Spark Developers
Hi,
The reason is just simply JSON data source depends on Hadoop's
LineRecordReader when we first try to read the files.
There is a workaround for this here in this link,
http://searchdatascience.com/spark-adventures-1-processing-multi-line-json-files/
I hope this is helpful.
Thanks!