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146 rows where labels_id = 200079857

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Link labels_id issues_id
58310637,200079857 topic-dask 200079857 Support out-of-core computation using dask 58310637
67043801,200079857 topic-dask 200079857 Automatically close and open files when accessing data with dask 67043801
68759727,200079857 topic-dask 200079857 Non-aggregating grouped operations on dask arrays are painfully slow to construct 68759727
69216911,200079857 topic-dask 200079857 Checklist for releasing a version of xray with dask support 69216911
69714060,200079857 topic-dask 200079857 Update xray to use updated dask.array and h5netcdf on pypi 69714060
69767364,200079857 topic-dask 200079857 Simplify load_data now that dask bugs have been fixed 69767364
91547750,200079857 topic-dask 200079857 Preprocess argument for open_mfdataset and threading lock 91547750
94030797,200079857 topic-dask 200079857 groupby / apply and dask (`open_mfdataset`) 94030797
100887868,200079857 topic-dask 200079857 BUG: .all() and .any() are now lazy on dask arrays 100887868
103966799,200079857 topic-dask 200079857 Use deterministic names for dask arrays from open_dataset 103966799
107424151,200079857 topic-dask 200079857 Parallel map/apply powered by dask.array 107424151
166593563,200079857 topic-dask 200079857 Speed up operations with xarray dataset 166593563
168469112,200079857 topic-dask 200079857 stack() on dask array produces inefficient chunking 168469112
171957028,200079857 topic-dask 200079857 Document performance tips for using dask with xarray 171957028
172291585,200079857 topic-dask 200079857 align() should align chunks 172291585
187872991,200079857 topic-dask 200079857 Convert xarray dataset to dask dataframe or delayed objects 187872991
196541604,200079857 topic-dask 200079857 Some queries 196541604
197939448,200079857 topic-dask 200079857 Document using a spawning multiprocessing pool for multiprocessing with dask 197939448
218314868,200079857 topic-dask 200079857 Some XArray key names don't group nicely 218314868
218315793,200079857 topic-dask 200079857 Dask Persist 218315793
221387277,200079857 topic-dask 200079857 decode_cf() loads chunked arrays 221387277
225734529,200079857 topic-dask 200079857 autoclose with distributed doesn't seem to work 225734529
233350060,200079857 topic-dask 200079857 If a NetCDF file is chunked on disk, open it with compatible dask chunks 233350060
237710101,200079857 topic-dask 200079857 Dataset.to_dataframe loads dask arrays into memory 237710101
238284894,200079857 topic-dask 200079857 Writing directly to a netCDF file while using distributed 238284894
243927150,200079857 topic-dask 200079857 Excessive memory usage when printing multi-file Dataset 243927150
245624267,200079857 topic-dask 200079857 lazily load dask arrays to dask data frames by calling to_dask_dataframe  245624267
252358450,200079857 topic-dask 200079857 Automatic parallelization for dask arrays in apply_ufunc 252358450
252543868,200079857 topic-dask 200079857 Dataset.__repr__ computes dask variables 252543868
252547273,200079857 topic-dask 200079857 Pass arguments to dask.compute() 252547273
252548859,200079857 topic-dask 200079857 (trivial) xarray.quantile silently resolves dask arrays 252548859
252707680,200079857 topic-dask 200079857 Consider setting name=False in Variable.chunk() 252707680
253136694,200079857 topic-dask 200079857 WIP: Zarr backend 253136694
253395960,200079857 topic-dask 200079857 Index variables loaded from dask can be computed twice 253395960
254217141,200079857 topic-dask 200079857 BUG: Dask distributed integration tests failing on Travis 254217141
267354113,200079857 topic-dask 200079857 Formalize contract between XArray and the dask.distributed scheduler 267354113
270808895,200079857 topic-dask 200079857 Dask arrays and DataArray coords that share name with dimensions  270808895
272002705,200079857 topic-dask 200079857 apply_ufunc(dask='parallelized') to infer output_dtypes 272002705
280942467,200079857 topic-dask 200079857 xarray mean generates unstable dask name (hash) 280942467
281983819,200079857 topic-dask 200079857 decode_cf destroys chunks 281983819
288785270,200079857 topic-dask 200079857 groupby on dask objects doesn't handle chunks well 288785270
289342234,200079857 topic-dask 200079857 HDF5 error when working with compressed NetCDF files and the dask multiprocessing scheduler 289342234
295146502,200079857 topic-dask 200079857 Zarr keys include variable name 295146502
295270362,200079857 topic-dask 200079857 Avoid Adapters in task graphs? 295270362
302930480,200079857 topic-dask 200079857 Should we be testing against multiple dask schedulers? 302930480
316448044,200079857 topic-dask 200079857 to_netcdf() should not implicitly load dask arrays of strings into memory 316448044
327893262,200079857 topic-dask 200079857 Update minimum version of dask 327893262
329251342,200079857 topic-dask 200079857 Simplify graph of DataArray.chunk() 329251342
331415995,200079857 topic-dask 200079857 Zarr Backend: check for non-uniform chunks is too strict 331415995
333480301,200079857 topic-dask 200079857 Failing test with dask_distributed 333480301
345090013,200079857 topic-dask 200079857 Failing test by dask==0.18.2 345090013
361016974,200079857 topic-dask 200079857 Limiting threads/cores used by xarray(/dask?) 361016974
373121666,200079857 topic-dask 200079857 Problems with distributed and opendap netCDF endpoint 373121666
374025325,200079857 topic-dask 200079857 Array indexing with dask arrays 374025325
402413097,200079857 topic-dask 200079857 bfill behavior dask arrays with small chunk size 402413097
406812274,200079857 topic-dask 200079857 reindex doesn't preserve chunks 406812274
425320466,200079857 topic-dask 200079857 Allow grouping by dask variables 425320466
452629448,200079857 topic-dask 200079857 median on dask arrays 452629448
460254571,200079857 topic-dask 200079857 nc file locked by xarray after (double) da.compute() call 460254571
470024896,200079857 topic-dask 200079857 Implementing map_blocks and map_overlap 470024896
473000845,200079857 topic-dask 200079857 .reduce() on a DataArray with Dask distributed immediately executes the preceding portions of the computational graph 473000845
473692721,200079857 topic-dask 200079857 rolling: bottleneck still not working properly with dask arrays 473692721
475244610,200079857 topic-dask 200079857 distributed.Client.compute fails on DataArray 475244610
479359010,200079857 topic-dask 200079857 chunk sparse arrays 479359010
488547784,200079857 topic-dask 200079857 xarray, chunking and rolling operation adds chunking along new dimension (previously worked) 488547784
499477368,200079857 topic-dask 200079857 assert_equal and dask 499477368
576502871,200079857 topic-dask 200079857 encode_cf_datetime() casts dask arrays to NumPy arrays 576502871
597657663,200079857 topic-dask 200079857 Hangs while saving netcdf file opened using xr.open_mfdataset with lock=None 597657663
617476316,200079857 topic-dask 200079857 Automatic chunking of arrays ? 617476316
651945063,200079857 topic-dask 200079857 Chunking causes unrelated non-dimension coordinate to become a dask array 651945063
665023246,200079857 topic-dask 200079857 apply_ufunc does not pass block_info to the applied function 665023246
666523009,200079857 topic-dask 200079857 isel with 0d dask array index fails 666523009
681291824,200079857 topic-dask 200079857 maximum recursion with dask and pydap backend 681291824
688640232,200079857 topic-dask 200079857 Stack: avoid re-chunking (dask) and insert new coordinates arbitrarily 688640232
702646191,200079857 topic-dask 200079857 Behaviour change in xarray.Dataset.sortby/sel between dask==2.25.0 and dask==2.26.0 702646191
718869334,200079857 topic-dask 200079857 dask dev upstream test failiures 718869334
732910109,200079857 topic-dask 200079857 Unexpected chunking of 3d DataArray in `polyfit()` 732910109
733077617,200079857 topic-dask 200079857 Vectorized indexing (isel) of chunked data with 1D indices gives weird chunks 733077617
753517739,200079857 topic-dask 200079857 Non lazy behavior for weighted average when using resampled data 753517739
759709924,200079857 topic-dask 200079857 Fancy indexing a Dataset with dask DataArray triggers multiple computes 759709924
771127744,200079857 topic-dask 200079857 open_mfdataset -> to_netcdf() randomly leading to dead workers 771127744
784042442,200079857 topic-dask 200079857 Use apply_ufunc for unary funcs 784042442
807089005,200079857 topic-dask 200079857 Sum and prod with min_count forces evaluation 807089005
812692450,200079857 topic-dask 200079857 ImplicitToExplicitIndexingAdapter being returned with dask unstable version 812692450
833518574,200079857 topic-dask 200079857 open_mfdataset failed to open tarfile filestream when it locates in the context of dask.distributed Client 833518574
851391441,200079857 topic-dask 200079857 `to_zarr()` dramatically alters dask graph 851391441
856172272,200079857 topic-dask 200079857 Add chunks argument to {zeros/ones/empty}_like. 856172272
859218255,200079857 topic-dask 200079857 Poor memory management with dask=2021.4.0 859218255
895202415,200079857 topic-dask 200079857 test_push_dask fails type inference 895202415
902622057,200079857 topic-dask 200079857 concat() with compat='no_conflicts' on dask arrays has accidentally quadratic runtime 902622057
908971901,200079857 topic-dask 200079857 Implement dask.sizeof for xarray.core.indexing.ImplicitToExplicitIndexingAdapter 908971901
911393744,200079857 topic-dask 200079857 Broadcast does not return Datasets with unified chunks 911393744
913830070,200079857 topic-dask 200079857 fix dask meta and output_dtypes error 913830070
969079775,200079857 topic-dask 200079857 Performance issues using map_blocks with cftime indexes. 969079775
984555353,200079857 topic-dask 200079857 Variable.stack constructs extremely large chunks 984555353
988158051,200079857 topic-dask 200079857 Implement __sizeof__ on objects? 988158051
1028755077,200079857 topic-dask 200079857 Allow indexing unindexed dimensions using dask arrays 1028755077
1043746973,200079857 topic-dask 200079857 Reimplement `.polyfit()` with `apply_ufunc` 1043746973
1088893989,200079857 topic-dask 200079857 Forward Fill not working when there are all-NaN chunks 1088893989
1180334986,200079857 topic-dask 200079857 Better dask support in polyval 1180334986

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CREATE TABLE [issues_labels] (
   [labels_id] INTEGER REFERENCES [labels]([id]),
   [issues_id] INTEGER REFERENCES [issues]([id]),
   PRIMARY KEY ([issues_id], [labels_id])
);
CREATE INDEX [idx_issues_labels_issues_id]
    ON [issues_labels] ([issues_id]);
CREATE INDEX [idx_issues_labels_labels_id]
    ON [issues_labels] ([labels_id]);
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