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See [https://github.com/apache/arrow/blob/ac86123a3f013ba1eeac2b66c2ccd00810c67871/rust/arrow/src/array/array.rs#L870]
The implementation currently does not validate that the datatype of the ArrayData argument matches. This can lead to inconsistencies, for example it is possible to create a TimestampMillisecondArray whose datatype reports Float64.
A similar onconsistentcy could arise when trying to convert between types like
{code:java}
let keys: Int32Array = dict_array.data().into() {code}
Here {{keys.data_type()}} would still return {{Dictionary}}
The text was updated successfully, but these errors were encountered:
Note: migrated from original JIRA: https://issues.apache.org/jira/browse/ARROW-10078
See [https://github.com/apache/arrow/blob/ac86123a3f013ba1eeac2b66c2ccd00810c67871/rust/arrow/src/array/array.rs#L870]
The implementation currently does not validate that the datatype of the ArrayData argument matches. This can lead to inconsistencies, for example it is possible to create a TimestampMillisecondArray whose datatype reports Float64.
A similar onconsistentcy could arise when trying to convert between types like
{code:java}
let keys: Int32Array = dict_array.data().into() {code}
Here {{keys.data_type()}} would still return {{Dictionary}}
The text was updated successfully, but these errors were encountered: