html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/392#issuecomment-459898582,https://api.github.com/repos/pydata/xarray/issues/392,459898582,MDEyOklzc3VlQ29tbWVudDQ1OTg5ODU4Mg==,2443309,2019-02-01T23:06:35Z,2019-02-01T23:06:35Z,MEMBER,I reran @shoyer's original benchmark. I think this can be closed. Constructing the graphs for the example shown above (on slightly different data) took 84.7 ms and 241 ms respectively. Much better than before. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,68759727
https://github.com/pydata/xarray/issues/392#issuecomment-459892186,https://api.github.com/repos/pydata/xarray/issues/392,459892186,MDEyOklzc3VlQ29tbWVudDQ1OTg5MjE4Ng==,26384082,2019-02-01T22:38:31Z,2019-02-01T22:38:31Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,68759727
https://github.com/pydata/xarray/issues/392#issuecomment-94085685,https://api.github.com/repos/pydata/xarray/issues/392,94085685,MDEyOklzc3VlQ29tbWVudDk0MDg1Njg1,1217238,2015-04-17T22:05:10Z,2015-04-17T22:05:10Z,MEMBER,"Yeah, like I said in the other issue I don't think this is a blocker (we can add a disclaimer to the docs).
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,68759727
https://github.com/pydata/xarray/issues/392#issuecomment-94084031,https://api.github.com/repos/pydata/xarray/issues/392,94084031,MDEyOklzc3VlQ29tbWVudDk0MDg0MDMx,306380,2015-04-17T21:56:13Z,2015-04-17T21:56:13Z,MEMBER,"Hrm, not that much faster.  It's 25% overhead on the apply.  Worth checking out.  I might not get to this before release though.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,68759727
https://github.com/pydata/xarray/issues/392#issuecomment-94079544,https://api.github.com/repos/pydata/xarray/issues/392,94079544,MDEyOklzc3VlQ29tbWVudDk0MDc5NTQ0,1217238,2015-04-17T21:31:56Z,2015-04-17T21:31:56Z,MEMBER,"The good news about that timing info is that dask is still much faster for calculating the graph than doing the actual computation. But it's still not ideal from an interactivity perspective.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,68759727
https://github.com/pydata/xarray/issues/392#issuecomment-94079391,https://api.github.com/repos/pydata/xarray/issues/392,94079391,MDEyOklzc3VlQ29tbWVudDk0MDc5Mzkx,1217238,2015-04-17T21:30:47Z,2015-04-17T21:30:47Z,MEMBER,"Here's the timing info:

```
%time res = ds.t2m.groupby('time.month').mean('time').sum()
# CPU times: user 133 ms, sys: 6.39 ms, total: 140 ms
# Wall time: 145 ms
%time res.load_data()
# CPU times: user 2min 47s, sys: 1min, total: 3min 48s
# Wall time: 1min 19s

%time res = ds.t2m.groupby('time.month').apply(lambda x: x - x.mean()).sum()
# CPU times: user 49.1 s, sys: 6.39 s, total: 55.5 s
# Wall time: 55.1 s
%time res.load_data()
# CPU times: user 6min 17s, sys: 2min 20s, total: 8min 38s
# Wall time: 3min 25s
```

Blocks shape is `{'latitude': (256,), 'longitude': (512,), 'time': (124, 124, 112, ..., 124, 120, 124)}`
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,68759727
https://github.com/pydata/xarray/issues/392#issuecomment-93532129,https://api.github.com/repos/pydata/xarray/issues/392,93532129,MDEyOklzc3VlQ29tbWVudDkzNTMyMTI5,306380,2015-04-15T18:58:11Z,2015-04-15T18:58:11Z,MEMBER,"Interesting.  Looks like the overhead of managing the graph is becoming non-trivial.

How long do these operations take to execute?  What is your blockdims?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,68759727