[SPARK-40705][SQL] Handle case of using mutable array when converting Row to JSON for Scala 2.13#38154
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Amraneze wants to merge 2 commits intoapache:masterfrom
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[SPARK-40705][SQL] Handle case of using mutable array when converting Row to JSON for Scala 2.13#38154Amraneze wants to merge 2 commits intoapache:masterfrom
Amraneze wants to merge 2 commits intoapache:masterfrom
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Can one of the admins verify this patch? |
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Oct 8, 2022
| StructField("col1", StringType) :: | ||
| StructField("col2", StringType) :: | ||
| StructField("col3", IntegerType) :: Nil) | ||
| StructField("col2", StringType) :: |
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Scalafmt formatted the file, should I revert the changes related to formatting the code ?
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Yeah revert all the formatting only changes please
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I pushed a new commit with the revert of those changes
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… Row to JSON for Scala 2.13 ### What changes were proposed in this pull request? I encountered an issue using Spark while reading JSON files based on a schema it throws every time an exception related to conversion of types. >Note: This issue can be reproduced only with Scala `2.13`, I'm not having this issue with `2.12` ```` Failed to convert value ArraySeq(1, 2, 3) (class of class scala.collection.mutable.ArraySeq$ofRef}) with the type of ArrayType(StringType,true) to JSON. java.lang.IllegalArgumentException: Failed to convert value ArraySeq(1, 2, 3) (class of class scala.collection.mutable.ArraySeq$ofRef}) with the type of ArrayType(StringType,true) to JSON. ```` If I add ArraySeq to the matching cases, the test that I added passed successfully  With the current code source, the test fails and we have this following error  ### Why are the changes needed? If the person is using Scala 2.13, they can't parse an array. Which means they need to fallback to 2.12 to keep the project functioning ### How was this patch tested? I added a sample unit test for the case, but I can add more if you want to. Closes #38154 from Amraneze/fix/spark_40705. Authored-by: Ait Zeouay Amrane <a.zeouayamran@gmail.com> Signed-off-by: Sean Owen <srowen@gmail.com> (cherry picked from commit 9a97f8c) Signed-off-by: Sean Owen <srowen@gmail.com>
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Merged to master/3.3 |
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What changes were proposed in this pull request?
I encountered an issue using Spark while reading JSON files based on a schema it throws every time an exception related to conversion of types.
If I add ArraySeq to the matching cases, the test that I added passed successfully
With the current code source, the test fails and we have this following error
Why are the changes needed?
If the person is using Scala 2.13, they can't parse an array. Which means they need to fallback to 2.12 to keep the project functioning
How was this patch tested?
I added a sample unit test for the case, but I can add more if you want to.