Comments (1)
Hey! Appreciate you asking. Nothing in the immediate future, but we're happy to explore if there's sufficient user interest.
If you think it'd be valuable to have a Java version of this library, could you file a feature request here and include any details about your specific use case? Others will be able to vote on the request and we'll be able to track interest and reach out as needed. Thank you!
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Related Issues (20)
- Dataframe is all Nat and None after loading HOT 6
- Ability to query _id as string if it is of type ObjectId (e.g. "63fcb5aa5e1d7530a517dc44") HOT 1
- bson_iter_type(): precondition failed: iter->raw on find_pandas_all() HOT 6
- Casting timestamp in find_panads_all() HOT 1
- How to define data type for uuid and array types HOT 7
- AttributeError: 'pyarrow.lib.DataType' object has no attribute '_type_marker' HOT 1
- Bug: find_arrow_all in version 1.0.1 returns wrong schema for nested bson.ObjectId while bson.ObjectId on root level works as documented HOT 2
- ARROW-175 Bug: nested data seems to be decoded even if not in schema HOT 3
- aggregate_arrow_all(...) >four times slower in version 1.0.2 compared to 1.0.1 with fields objects HOT 5
- Can `find_all_pandas` treat list of struct as nested dataframe? HOT 1
- Any chance you could fix the docs? HOT 4
- Does mongo-arrow provide real zero copy in the chain mongodb->arrow->pandas? HOT 3
- Nested Data With Schema ERRor
- MongoDB's Decimal128 seems to be returned as fixed_size_binary[16] HOT 3
- Support for Tool HOT 1
- undefined symbol: _ZN5arrow6StatusC1ENS_10StatusCodeERKSs with airflow 2.8.1 HOT 1
- Trouble reading documents with empty embedded arrays HOT 1
- [documentation update request / feature request] `write` supported types
- Add an optional bool flag to the `write` function to skip writing `null` fields HOT 1
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