[SPARK-46615][CONNECT] Support s.c.immutable.ArraySeq in ArrowDeserializers#44618
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panbingkun wants to merge 4 commits intoapache:masterfrom
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[SPARK-46615][CONNECT] Support s.c.immutable.ArraySeq in ArrowDeserializers#44618panbingkun wants to merge 4 commits intoapache:masterfrom
panbingkun wants to merge 4 commits intoapache:masterfrom
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panbingkun
commented
Jan 8, 2024
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| val myUdf2 = udf((a: immutable.ArraySeq[Int]) => | ||
| immutable.ArraySeq.unsafeWrapArray[Int](a.appended(5).appended(6).toArray)) | ||
| immutable.ArraySeq.unsafeWrapArray[Int]((a :+ 5 :+ 6).toArray)) |
Contributor
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Only fix the comment related issues of another PR: #44591
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Could we move this change to a separate pr
LuciferYang
reviewed
Jan 8, 2024
| testImplicit(booleans) | ||
| testImplicit(booleans.toSeq) | ||
| testImplicit(booleans.toSeq)(newBooleanSeqEncoder) | ||
| testImplicit(immutable.ArraySeq.unsafeWrapArray(booleans)) |
Contributor
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we can just
import org.apache.spark.util.ArrayImplicits._
at the file header, and then
testImplicit(booleans.toImmutableArraySeq)
testImplicit(shorts.toImmutableArraySeq)
...
| mutable.ArraySeq.make(array.asInstanceOf[Array[T]]) | ||
| } | ||
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| def toImmutableArraySeq[T](array: AnyRef): immutable.ArraySeq[T] = { |
Contributor
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nit: Perhaps we can directly use the implicit conversion defined in ArrayImplicits instead of add this new function, which is now a more generic conversion way in Spark code.
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| val myUdf2 = udf((a: immutable.ArraySeq[Int]) => | ||
| immutable.ArraySeq.unsafeWrapArray[Int](a.appended(5).appended(6).toArray)) | ||
| immutable.ArraySeq.unsafeWrapArray[Int]((a :+ 5 :+ 6).toArray)) |
srowen
approved these changes
Jan 30, 2024
LuciferYang
approved these changes
Feb 8, 2024
Contributor
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Merged into master for Spark 4.0. Thanks @panbingkun @srowen |
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What changes were proposed in this pull request?
The pr aims to support s.c.immutable.ArraySeq as customCollectionCls in ArrowDeserializers.
Why are the changes needed?
Because s.c.immutable.ArraySeq is a commonly used type in Scala 2.13, we should support it.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
Update existed UT (SQLImplicitsTestSuite).
Was this patch authored or co-authored using generative AI tooling?
No.