[GitHub] spark issue #21732: [SPARK-24762][SQL] Enable Option of Product encoders
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Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/21732 I think this is close, can you answer https://github.com/apache/spark/pull/21732/files#r228782670 ? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user viirya commented on the issue: https://github.com/apache/spark/pull/21732 Rebased this after refactoring ExpressionEncoder. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user viirya commented on the issue: https://github.com/apache/spark/pull/21732 Thanks. I've updated the PR description to summarize encoding of `Product` and `Option[Product]`. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user viirya commented on the issue: https://github.com/apache/spark/pull/21732 > Option[Product] is the same as Product except at top level? Yeah, at top level, `Option[Product]` was not supported. After this change, it is a struct type column. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/21732 > This doesn't make any change to Product. yea I know, but we should put things together to evaluate a design. After reading your description, `Option[Product]` is the same as `Product` except at top level? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user viirya commented on the issue: https://github.com/apache/spark/pull/21732 > For Product, normally it should be a struct type column, the special case I can think of is: 1) at root level, flatten it into multiple columns, and the Product can't be null. > For Option[Product], normally it should also be a struct type column, seems there is no special case. This doesn't make any change to `Product`. For `Product`, 1. at root level, the schema is all fields are flatten it into multiple columns. The Product can't be null. ```scala val df = Seq((1 -> "a"), (2 -> "b")).toDF() df.printSchema() root |-- _1: integer (nullable = false) |-- _2: string (nullable = true) ``` 2. At non-root level, `Product` is a struct type column. ```scala val df = Seq((1, (1 -> "a")), (2, (2 -> "b")), (3, null)).toDF() df.printSchema() root |-- _1: integer (nullable = false) |-- _2: struct (nullable = true) ||-- _1: integer (nullable = false) ||-- _2: string (nullable = true) ``` For `Option[Product]`, I've posted some description in the PR description. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/21732 Since we have to handle some special cases, can you list them in the PR description? For `Product`, normally it should be a struct type column, the special case I can think of is: 1) at root level, flatten it into multiple columns, and the `Product` can't be null. For `Option[Product]`, normally it should also be a struct type column, seems there is no special case. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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