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Getting user defined types working#239
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jon-morra-zefr wants to merge 3 commits intodatabricks:masterfrom
Open
Getting user defined types working#239jon-morra-zefr wants to merge 3 commits intodatabricks:masterfrom
jon-morra-zefr wants to merge 3 commits intodatabricks:masterfrom
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jon-morra-zefr
commented
Jun 28, 2017
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| package com.databricks.spark.avro | ||
| package org.apache.spark.avro |
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In order to reference UserDefinedType we have to change the package name.
| FloatType | DoubleType | StringType | BooleanType => identity | ||
| case _: DecimalType => (item: Any) => if (item == null) null else item.toString | ||
| FloatType | DoubleType | BooleanType => identity | ||
| case _: DecimalType | StringType => (item: Any) => if (item == null) null else item.toString |
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My use case for this is serializing Enum[_] types. I'm doing this as strings on the backend. However, in my tests it was still presenting the native enum type to the native avro reader. By moving the StringType out and explicitly calling .toString on it I'm able to get around this issue assuming the UserDefinedType for my enums is StringType.
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Question, some plan to merge this improve??? |
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As outlined in #235 it is desirable to get Avro serialization working with
UserDefinedTypes. This PR addresses that concern and allows serialization ofUserDefinedTypes. I wasn't able to write any tests, but I'm sure that can be done easily. This works on my local projects.