Github user maropu commented on the issue:
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Because it is a design of `DataFrame` and join results could have duplicate
column names. Anyway, we couldn't change this behaviour in minor releases.
---
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Github user sr11231 commented on the issue:
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Why it's ok to have duplicate columns when you read from RDD/DS and not
when you read directly from file? Maybe it's should be configurable option?
When you have duplicate columns, how can you de
Github user maropu commented on the issue:
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yea, I think that is an expected behaviour, actually, some operations of
`DataFrame/Dataset` accepts the duplication. e.g.,
```
scala> Seq((1, 2)).toDF("a", "a").show
+---+---+
| a|
Github user sr11231 commented on the issue:
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Still when you load the json file through Dataset[String] by doing
`spark.read.json(spark.read.textFile("json.file")`, Spark does not trow any
error and you get DataFrame with duplicate columns. Is
Github user maropu commented on the issue:
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ok, I'll file a ticket first. Thanks.
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We can create a ticket first and discuss there.
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@cloud-fan Thanks! BTW, we better handle other duplication (e.g., local
temporary tables)?;
```
scala> Seq((1, 1)).toDF("a", "a").createOrReplaceTempView("t")
scala> sql("SELECT * FROM t")
Github user cloud-fan commented on the issue:
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thanks, merging to master!
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LGTM
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@cloud-fan The latest fix satisfies your intention?
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Updated policy:
The check for the SQL(DDL) case:
- This check should be done in `RunnableCommand.run`.
The check for the datasource case:
- The check for a user-defined data
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yea, I've already found the cause; to fix the issue, it's okay to check
name duplication for partition columns in `getOrInferFileFormatSchema` as
@gatorsmile suggested
(https://github.com/apache/spa
Github user cloud-fan commented on the issue:
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I think we should figure out
https://issues.apache.org/jira/browse/SPARK-21144 first. It doesn't make sense
to have duplicated columns between partition columns and data columns.
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ok, I'll recheck.
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shall we check duplicated columns in write path?
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LGTM except one comment
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Jenkins, retest this please.
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Github user maropu commented on the issue:
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No. This pr does not target the change and it is to make error messages
more explicit.
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Github user gatorsmile commented on the issue:
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Any behavior change is added by this PR?
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Github user maropu commented on the issue:
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@wzhfy Applied. Could u check again?
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