I'm not very experienced with configuring the various filesystems the implement the HDFS API, but there is not a need for an Azure specific plugin. The blob storage exposes the HDFS API, similar to S3 and other storage systems.
If you can get the hadoop client to run an 'ls' or other filesystem command on the Azure blob instance, I believe configuring Drill to read from it should be as simple as modifying the connection address in the DFS storage plugin. http://hadoop.apache.org/docs/r2.7.0/hadoop-azure/index.html On Wed, Jul 8, 2015 at 11:04 AM, Abhishek Girish <[email protected]> wrote: > I see DRILL-566 <https://issues.apache.org/jira/browse/DRILL-566> filed > for > supporting Azure, but don't see any activity on it. If this is already > supported, someone should update the JIRA. If not, may be it should be > suitably prioritized. > > -Abhishek > > On Tue, Jul 7, 2015 at 11:38 PM, Kate Liu <[email protected]> wrote: > > > Hi, > > > > My name is Kate. I'm looking for a solution for reading and querying > > hundreds of gigs of data from Azure Blob storage. I noticed that Drill > has > > the support for Azure blob storage mentioned in one of the FAQ answers, > > however I'm not able to find the Azure blob plugin. Could you please > point > > me to the right place to look for information and/or sample code > regarding > > using Drill for Azure blob storage? Really appreciate your help! > > > > Thanks a lot, > > Kate >
