Hi Navin,
Can you share a bit more what you are trying to do? ECS is Elastic Container
Service, correct? So, the Parquet files are ephemeral: they exist only while
the container runs? Do the files have a permanent form, such as in S3?
Parquet is a complex format. Drill exploits the Parquet structure to optimize
query performance. This means that Drill must seek the the header, footer and
row groups of each file. More specifically, Parquet cannot be read in a
streaming fashion the way we can read CSV or JSON.
The best REST API for Parquet would be a clone of the Amazon S3 API.
Alternatively, expose the files using something like NFS so that the file on
ECS appears like a local file to Drill.
You can even implement the HDFS client API on top of your REST API (assuming
your REST API supports the required functions), and use Drill's DFS plugin with
your client.
Yet another alternative is to store Parquet in S3, so Drill can use the S3 API
directly. Or, to stream the content to Drill from a container, use JSON or CSV.
Lots of options that depend on what you're trying to do.
Thanks,
- Paul
On Monday, March 23, 2020, 6:03:48 AM PDT, Charles Givre <[email protected]>
wrote:
Hi Navin,
Thanks for your interest in Drill. To answer your question, there is currently
a pull request for a REST storage plugin [1], however as implemented it only
accepts JSON responses. However, it would not be difficult to get the reader
to accept Parquet files. Please take a look and send any feedback.
-- C
[1]: https://github.com/apache/drill/pull/1892
<https://github.com/apache/drill/pull/1892>
> On Mar 23, 2020, at 8:14 AM, Navin Bhawsar <[email protected]> wrote:
>
> Hi
>
> We are currently doing an experiment to use apache drill to query parquet
> files .These parquet files will be copied on ecs and exposed via rest api .
>
> Can you please advise if there is a storage plugin to query rest api ?
>
> Currently we are using Apache Drill 1.17 version in distributed mode .
>
> Please let me know if you need more details .
>
> Thanks and Regards,
> Navin
