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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/02/27 05:11:36 UTC

[GitHub] [spark] srowen commented on a change in pull request #23495: [SPARK-26503][CORE] Get rid of spark.sql.legacy.timeParser.enabled

srowen commented on a change in pull request #23495:  [SPARK-26503][CORE] Get rid of spark.sql.legacy.timeParser.enabled
URL: https://github.com/apache/spark/pull/23495#discussion_r384916414
 
 

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 File path: sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
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 @@ -1451,109 +1451,6 @@ class JsonSuite extends QueryTest with SharedSQLContext with TestJsonData {
     })
   }
 
-  test("backward compatibility") {
-    withSQLConf(SQLConf.LEGACY_TIME_PARSER_ENABLED.key -> "true") {
-      // This test we make sure our JSON support can read JSON data generated by previous version
-      // of Spark generated through toJSON method and JSON data source.
-      // The data is generated by the following program.
-      // Here are a few notes:
-      //  - Spark 1.5.0 cannot save timestamp data. So, we manually added timestamp field (col13)
-      //      in the JSON object.
-      //  - For Spark before 1.5.1, we do not generate UDTs. So, we manually added the UDT value to
-      //      JSON objects generated by those Spark versions (col17).
-      //  - If the type is NullType, we do not write data out.
 
 Review comment:
    The test is gone because the old behavior is gone; that's all that's going on here.
   See the OP with a link to the actual change. The key discussions were:
   
   https://github.com/apache/spark/pull/23391#discussion_r244414750
   https://github.com/apache/spark/pull/23391#discussion_r244627486
   
   I think the TL;DR is that the legacy behavior is error-prone and already susceptible to getting wrong answers for old dates. That seems worth 'fixing' despite the forced behavior change.

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