Fix Date32 and Date64 parquet row group pruning #690
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Jul 7, 2021
| fn try_from(value: ScalarValue) -> Result<Self> { | ||
| match value { | ||
| ScalarValue::Int64(Some(inner_value)) | ||
| | ScalarValue::Date64(Some(inner_value)) |
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This mirrors the clause above for Date32 in TryFrom<ScalarValue> for i32
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@yordan-pavlov this is ready for review. cc @Dandandan |
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Thank you @Dandandan |
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* chore: upgrade datafusion Deps Ref apache#690 * update concat and concat_ws to use datafusion_functions Moved in apache#10089 * feat: upgrade functions.rs Upstream is continuing it's migration to UDFs. Ref apache#10098 Ref apache#10372 * fix ScalarUDF import * feat: remove deprecated suppors_filter_pushdown and impl supports_filters_pushdown Deprecated function removed in apache#9923 * use `unnest_columns_with_options` instead of deprecated `unnest_column_with_option` * remove ScalarFunction wrappers These relied on upstream BuiltinScalarFunction, which are now removed. Ref apache#10098 * update dataframe `test_describe` `null_count` was fixed upstream. Ref apache#10260 * remove PyDFField and related methods DFField was removed upstream. Ref: apache#9595 * bump `datafusion-python` package version to 38.0.0 * re-implement `PyExpr::column_name` The previous implementation relied on `DFField` which was removed upstream. Ref: apache#9595
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Which issue does this PR close?
Fixes: #649 as found by @yordan-pavlov
Build on #657 and #689 so please review them firstRationale for this change
Parquet pruning is not working for
Date32orDate64What changes are included in this PR?
Fixes parquet pruning on
Date32andDate64columns by adding the appropriate expression evaluation machinery for Date32 and Date64. Creating arrays for testing I found super awkward and I filed apache/arrow-rs#527 to try and track improving that situation