Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/8811
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Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/8811#issuecomment-149918250
I think the main problem is: we interpret column name with special handling
of `.` for DataFrame. This enables us to write something like `df("a.b")` to
get the field
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Github user zhichao-li commented on the pull request:
https://github.com/apache/spark/pull/8811#issuecomment-149745245
retest this please
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Github user JoshRosen commented on the pull request:
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Jenkins, retest this please.
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Github user zhichao-li commented on the pull request:
https://github.com/apache/spark/pull/8811#issuecomment-142159010
@chenghao-intel, ` UnresolvedAttribute.parseAttributeName` still lack the
ability to solve case like this: ``name``, so we cannot add the back tick to
all cases whic
Github user zhichao-li commented on a diff in the pull request:
https://github.com/apache/spark/pull/8811#discussion_r40047528
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
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@@ -1116,6 +1116,18 @@ class SQLQuerySuite extends QueryTest
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Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/8811#discussion_r39988639
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala ---
@@ -1181,7 +1181,7 @@ class DataFrame private[sql](
if (shouldRename) {
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/8811#discussion_r39988465
--- Diff:
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Github user chenghao-intel commented on the pull request:
https://github.com/apache/spark/pull/8811#issuecomment-141946785
A better place to add the back tick is in the class `Column`?
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Github user zhichao-li commented on the pull request:
https://github.com/apache/spark/pull/8811#issuecomment-141891350
cc @chenghao-intel @yhuai @liancheng
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GitHub user zhichao-li opened a pull request:
https://github.com/apache/spark/pull/8811
[SPARK-10656][SQL]fix selection fails when a column has special characters
Best explained with this example:
val df = sqlContext.read.json(sqlContext.sparkContext.makeRDD(
"""{"a.b":
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