[SPARK-17347][SQL][Examples]Encoder in Dataset example has incorrect type #14901
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CodingCat
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CodingCat
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Test build #64730 has finished for PR 14901 at commit
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Test build #64731 has finished for PR 14901 at commit
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| implicit val mapEncoder = org.apache.spark.sql.Encoders.kryo[Map[String, Any]] | ||
| // Primitive types and case classes can be also defined as | ||
| implicit val stringIntMapEncoder: Encoder[Map[String, Int]] = ExpressionEncoder() | ||
| // implicit val stringIntMapEncoder: Encoder[Map[String, Any]] = ExpressionEncoder() |
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This compiled before though, right? you're saying it's unnecessary because of the implicit in the line above? that seems fine but let's delete these 2 lines then.
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I am saying that the comments (L205) seem to indicate that, besides L204, the encoder can be defined as L206 as well. Actually, L206 has the incorrect type (you can find that by removing L204 and compile with the original L206)
so, I fixed the type and comment the line for successful compilation
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merged to master/2.0 |
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Sep 3, 2016
… type ## What changes were proposed in this pull request? We propose to fix the Encoder type in the Dataset example ## How was this patch tested? The PR will be tested with the current unit test cases Author: CodingCat <[email protected]> Closes #14901 from CodingCat/SPARK-17347. (cherry picked from commit 97da410) Signed-off-by: Sean Owen <[email protected]>
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What changes were proposed in this pull request?
We propose to fix the Encoder type in the Dataset example
How was this patch tested?
The PR will be tested with the current unit test cases