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Compatibility with latest dask, pyarrow and deltalake #68
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I'll have a look and see what bothers CI |
import dask.dataframe as dd | ||
import pyarrow as pa | ||
import pyarrow.parquet as pq | ||
from dask.base import tokenize | ||
from dask.dataframe.io.parquet.arrow import ArrowDatasetEngine |
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This import is a bit ugly but this class exposes our type mappers and this way we can align behavior
graph = HighLevelGraph.from_collections(final_name, dsk, dependencies=(written,)) # type: ignore | ||
result = Scalar(graph, final_name, "") |
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I'll migrate to dask-expr in a follow up PR once this is green
Codecov ReportAttention:
❗ Your organization needs to install the Codecov GitHub app to enable full functionality. Additional details and impacted files@@ Coverage Diff @@
## main #68 +/- ##
==========================================
+ Coverage 73.37% 74.06% +0.68%
==========================================
Files 6 6
Lines 308 320 +12
==========================================
+ Hits 226 237 +11
- Misses 82 83 +1 ☔ View full report in Codecov by Sentry. |
CI is green. @fjetter can I leave this PR with you? |
Thanks Florian
…On Tue, Feb 13, 2024 at 7:49 AM Florian Jetter ***@***.***> wrote:
Merged #68 <#68> into
main.
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Fixes #65
cc @fjetter there is probably a better way to do this in case you all want to improve things here and make them more future-proof.