Comments (7)
Thanks @jrbourbeau . I appreciate both the "can do" attitude, and the short duration from idea to shipping.
from benchmarks.
I can't comment on the occurrence of bug reports. If including them means delaying, I'd prefer to add in the next release.
FWIW -- xarray is in the coiled default environment, but zarr is not.
from benchmarks.
What delay would this cause? I'm thinking of just adding xarray and zarr to the metapackage.
from benchmarks.
For xarray in a cloud setting you would also want zarr
from benchmarks.
What delay would this cause?
Probably none. It's a qualifier. We didn't expect to encounter an issue with Python3.7 support either, which it sounds like was fixed with coiled==0.0.74
For xarray in a cloud setting you would also want zarr
Agreed.
from benchmarks.
cc @jrbourbeau -- FYI
from benchmarks.
Sure, I don't have an objection to adding xarray
and zarr
. Matt's correct about their high user / bug ratio. zarr
is also widely used in Dask Array workloads, so should probably be included for that reason too. Will push something up for this
EDIT: see #62
from benchmarks.
Related Issues (20)
- [TPC-H] PySpark workloads are vulnerable to undetected worker loss HOT 9
- ⚠️ CI failed ⚠️ - Regression - TPC-H queries 12, 14, 19 HOT 2
- ⚠️ CI failed ⚠️ - ServerError - Coiled credit balance errors HOT 1
- ⚠️ CI failed ⚠️ - Regression - test_adjacent_groups [1-128MiB-p2p-disk] Duration HOT 1
- ⚠️ CI failed ⚠️ - stability/test_deadlock.py::test_repeated_merge_spill HOT 1
- Set index regression HOT 3
- ⚠️ CI failed ⚠️ - test_join_big_small / test_set_index duration regressions HOT 1
- ⚠️ CI failed ⚠️ - regressions: dataframe_cow_chain - prepreocess - q6 - q8 - set_index, write_wide_data HOT 3
- ⚠️ CI failed ⚠️ - test_basic_sum[slow-square] TimeoutError HOT 1
- ⚠️ CI failed ⚠️ - Regression: test_spilling HOT 1
- ⚠️ CI failed ⚠️ HOT 1
- optuna is failing HOT 1
- DuckDB fails with OutOfMemoryException HOT 1
- How to create a dev environment to run tpch benchmarks? HOT 4
- Difficulty generating local data HOT 3
- tpc-h query operations aren't aligned across backends HOT 1
- Add datafusion, chdb HOT 2
- Is duckdb out-of-core processing properly enabled? HOT 1
- Fair dataframe API vs API vs SQL benchmarking. HOT 7
- Make TPC-H data publicly available HOT 2
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from benchmarks.