{"action":"created","issue":{"url":"https://api.github.com/repos/geotrellis/geotrellis-pointcloud/issues/9","repository_url":"https://api.github.com/repos/geotrellis/geotrellis-pointcloud","labels_url":"https://api.github.com/repos/geotrellis/geotrellis-pointcloud/issues/9/labels{/name}","comments_url":"https://api.github.com/repos/geotrellis/geotrellis-pointcloud/issues/9/comments","events_url":"https://api.github.com/repos/geotrellis/geotrellis-pointcloud/issues/9/events","html_url":"https://github.com/geotrellis/geotrellis-pointcloud/issues/9","id":325361884,"number":9,"title":"Write Point Clouds in a PDAL supported format, such as LAZ, into HDFS and S3","user":{"login":"romulogoncalves","id":6976972,"avatar_url":"https://avatars3.githubusercontent.com/u/6976972?v=4","gravatar_id":"","url":"https://api.github.com/users/romulogoncalves","html_url":"https://github.com/romulogoncalves","followers_url":"https://api.github.com/users/romulogoncalves/followers","following_url":"https://api.github.com/users/romulogoncalves/following{/other_user}","gists_url":"https://api.github.com/users/romulogoncalves/gists{/gist_id}","starred_url":"https://api.github.com/users/romulogoncalves/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/romulogoncalves/subscriptions","organizations_url":"https://api.github.com/users/romulogoncalves/orgs","repos_url":"https://api.github.com/users/romulogoncalves/repos","events_url":"https://api.github.com/users/romulogoncalves/events{/privacy}","received_events_url":"https://api.github.com/users/romulogoncalves/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-05-22T16:02:13Z","updated_at":"2018-05-22T16:21:14Z","closed_at":null,"author_association":"NONE","body":"Currently it is only possible to store data as a GeoTrellis layer. To save as a LAZ file what we do is either save the LAZ file into a local directory which is mount of an S3 bucket or we save it into temporary file and then we upload it to HDFS.\r\n\r\nWould it be possible to save the results after a pipeline execution directly into HDFS or S3?\r\nAre there plans to have such functionality? Or should such functionality come from PDAL? \r\n\r\nI would imagine something like this:\r\n```\r\nval pipelineExpr = Read(\"local\") ~ HagFilter() ~ LasWrite(\"s3a://out.laz\")\r\n```"},"comment":{"url":"https://api.github.com/repos/geotrellis/geotrellis-pointcloud/issues/comments/391052771","html_url":"https://github.com/geotrellis/geotrellis-pointcloud/issues/9#issuecomment-391052771","issue_url":"https://api.github.com/repos/geotrellis/geotrellis-pointcloud/issues/9","id":391052771,"user":{"login":"pomadchin","id":4929546,"avatar_url":"https://avatars3.githubusercontent.com/u/4929546?v=4","gravatar_id":"","url":"https://api.github.com/users/pomadchin","html_url":"https://github.com/pomadchin","followers_url":"https://api.github.com/users/pomadchin/followers","following_url":"https://api.github.com/users/pomadchin/following{/other_user}","gists_url":"https://api.github.com/users/pomadchin/gists{/gist_id}","starred_url":"https://api.github.com/users/pomadchin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pomadchin/subscriptions","organizations_url":"https://api.github.com/users/pomadchin/orgs","repos_url":"https://api.github.com/users/pomadchin/repos","events_url":"https://api.github.com/users/pomadchin/events{/privacy}","received_events_url":"https://api.github.com/users/pomadchin/received_events","type":"User","site_admin":false},"created_at":"2018-05-22T16:21:14Z","updated_at":"2018-05-22T16:21:14Z","author_association":"MEMBER","body":"Current `Pipeline` is a `PDAL` pipeline and translates into `PDAL` JSON. There are two solutions: 1. move it into PDAL or implement smth on our side, but I'm not sure that `PDAL` exposes it."}}
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