{"action":"created","issue":{"url":"https://api.github.com/repos/HDFGroup/datacontainer/issues/28","labels_url":"https://api.github.com/repos/HDFGroup/datacontainer/issues/28/labels{/name}","comments_url":"https://api.github.com/repos/HDFGroup/datacontainer/issues/28/comments","events_url":"https://api.github.com/repos/HDFGroup/datacontainer/issues/28/events","html_url":"https://github.com/HDFGroup/datacontainer/issues/28","id":118887471,"number":28,"title":"chunking/compression options for Cortad and aggregated NCEP","user":{"login":"jreadey","id":7785492,"avatar_url":"https://avatars.githubusercontent.com/u/7785492?v=3","gravatar_id":"","url":"https://api.github.com/users/jreadey","html_url":"https://github.com/jreadey","followers_url":"https://api.github.com/users/jreadey/followers","following_url":"https://api.github.com/users/jreadey/following{/other_user}","gists_url":"https://api.github.com/users/jreadey/gists{/gist_id}","starred_url":"https://api.github.com/users/jreadey/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jreadey/subscriptions","organizations_url":"https://api.github.com/users/jreadey/orgs","repos_url":"https://api.github.com/users/jreadey/repos","events_url":"https://api.github.com/users/jreadey/events{/privacy}","received_events_url":"https://api.github.com/users/jreadey/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/HDFGroup/datacontainer/labels/in%20progress","name":"in progress","color":"fbca04"}],"state":"open","locked":false,"assignee":{"login":"hyoklee","id":4994401,"avatar_url":"https://avatars.githubusercontent.com/u/4994401?v=3","gravatar_id":"","url":"https://api.github.com/users/hyoklee","html_url":"https://github.com/hyoklee","followers_url":"https://api.github.com/users/hyoklee/followers","following_url":"https://api.github.com/users/hyoklee/following{/other_user}","gists_url":"https://api.github.com/users/hyoklee/gists{/gist_id}","starred_url":"https://api.github.com/users/hyoklee/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/hyoklee/subscriptions","organizations_url":"https://api.github.com/users/hyoklee/orgs","repos_url":"https://api.github.com/users/hyoklee/repos","events_url":"https://api.github.com/users/hyoklee/events{/privacy}","received_events_url":"https://api.github.com/users/hyoklee/received_events","type":"User","site_admin":false},"milestone":null,"comments":16,"created_at":"2015-11-25T17:33:19Z","updated_at":"2015-11-30T14:27:16Z","closed_at":null,"body":"Create different chunk layouts, compression filters for cortad dataset (similar to what we did for ncep).\r\nDescribe in the repo datasets folder."},"comment":{"url":"https://api.github.com/repos/HDFGroup/datacontainer/issues/comments/160644734","html_url":"https://github.com/HDFGroup/datacontainer/issues/28#issuecomment-160644734","issue_url":"https://api.github.com/repos/HDFGroup/datacontainer/issues/28","id":160644734,"user":{"login":"hyoklee","id":4994401,"avatar_url":"https://avatars.githubusercontent.com/u/4994401?v=3","gravatar_id":"","url":"https://api.github.com/users/hyoklee","html_url":"https://github.com/hyoklee","followers_url":"https://api.github.com/users/hyoklee/followers","following_url":"https://api.github.com/users/hyoklee/following{/other_user}","gists_url":"https://api.github.com/users/hyoklee/gists{/gist_id}","starred_url":"https://api.github.com/users/hyoklee/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/hyoklee/subscriptions","organizations_url":"https://api.github.com/users/hyoklee/orgs","repos_url":"https://api.github.com/users/hyoklee/repos","events_url":"https://api.github.com/users/hyoklee/events{/privacy}","received_events_url":"https://api.github.com/users/hyoklee/received_events","type":"User","site_admin":false},"created_at":"2015-11-30T14:27:16Z","updated_at":"2015-11-30T14:27:16Z","body":"@jready I'm about to repack the aggregated NCEP. The shape is 7850x720x1440. How do you want to set the chunk size? \r\n\r\nAccording to your previous comment,\r\n\r\n> 1) 2D chunk with time step as 1 unit\r\n> 2) 3D \"squarish\" chunks\r\n> 3) Data rods style - 1 point time series\r\n\r\nI can set as follows. \r\n1. (1, 720, 1440) \r\n2. (491, 3, 12)   // @ajelenak-thg's chunking.h5py_chunk suggested shape\r\n3. (7850, 1, 1)\r\n\r\nMy question is whether you'd like to shape chunk sizes to match the ones in the previous experiments like (45,180) in s3://hdfdata/ncep3_chunk_45_180_blosc_2_2_4/ for lat/lon dimensions. \r\n\r\n"}}