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299 workflow run results
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Update CI to use rust based tpc-h data generator Assign the issue via a `take` comment #299: Issue comment #1120 (comment) created by shruti2522
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chore: Upgrade datafusion to version 49 Assign the issue via a `take` comment #298: Issue comment #1200 (comment) created by nuno-faria
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chore: Upgrade datafusion to version 49 Assign the issue via a `take` comment #297: Issue comment #1200 (comment) created by timsaucer
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build(deps): bump tokio from 1.46.1 to 1.47.0 Assign the issue via a `take` comment #296: Issue comment #1191 (comment) created by dependabot bot
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Separable Python and Rust components Assign the issue via a `take` comment #295: Issue comment #1193 (comment) created by timsaucer
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Separable Python and Rust components Assign the issue via a `take` comment #294: Issue comment #1193 (comment) created by awhyte
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Separable Python and Rust components Assign the issue via a `take` comment #293: Issue comment #1193 (comment) created by timsaucer
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Fix Python UDAF Accumulator Interface example to Properly Handle State and Updates with List[Array] Types Assign the issue via a `take` comment #292: Issue comment #1192 (comment) created by kosiew
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Spike: evaluate if cuDF can be used with datafusion-python Assign the issue via a `take` comment #291: Issue comment #936 (comment) created by JigaoLuo
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Spike: evaluate if cuDF can be used with datafusion-python Assign the issue via a `take` comment #290: Issue comment #936 (comment) created by milenkovicm
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Spike: evaluate if cuDF can be used with datafusion-python Assign the issue via a `take` comment #289: Issue comment #936 (comment) created by milenkovicm
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the python udaf example cannot print the result Assign the issue via a `take` comment #288: Issue comment #1190 (comment) created by kosiew
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the python udaf example cannot print the result Assign the issue via a `take` comment #287: Issue comment #1190 (comment) created by l1t1
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the python udaf example cannot print the result Assign the issue via a `take` comment #286: Issue comment #1190 (comment) created by kosiew
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Serialize user defined functions and table providers via protobuf Assign the issue via a `take` comment #285: Issue comment #1181 (comment) created by milenkovicm
Skipped
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support FFI query result streams that do not pre-collect Assign the issue via a `take` comment #284: Issue comment #1011 (comment) created by djouallah
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Serialize user defined functions and table providers via protobuf Assign the issue via a `take` comment #283: Issue comment #1181 (comment) created by colinmarc
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Serialize user defined functions and table providers via protobuf Assign the issue via a `take` comment #282: Issue comment #1181 (comment) created by timsaucer
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build(deps): bump tokio from 1.45.0 to 1.46.1 Assign the issue via a `take` comment #281: Issue comment #1180 (comment) created by dependabot bot
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build(deps): bump object_store from 0.12.1 to 0.12.2 Assign the issue via a `take` comment #280: Issue comment #1149 (comment) created by dependabot bot
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Skipped
build(deps): bump mimalloc from 0.1.46 to 0.1.47 Assign the issue via a `take` comment #278: Issue comment #1165 (comment) created by dependabot bot
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build(deps): bump arrow from 55.1.0 to 55.2.0 Assign the issue via a `take` comment #279: Issue comment #1174 (comment) created by dependabot bot
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Serialize user defined functions and table providers via protobuf Assign the issue via a `take` comment #277: Issue comment #1181 (comment) created by timsaucer
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Serialize user defined functions and table providers via protobuf Assign the issue via a `take` comment #276: Issue comment #1181 (comment) created by colinmarc
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Add support for automatic join column deduplication in DataFrame joins Assign the issue via a `take` comment #275: Issue comment #1185 (comment) created by kosiew
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