Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/9085
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Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/9085#issuecomment-153371083
Thanks, merging to master.
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Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/9085#discussion_r43633782
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/AbstractSparkSQLParser.scala
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@@ -102,8 +106,12 @@ class SqlLexical extends
Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/9085#discussion_r43633899
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
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@@ -169,6 +169,26 @@ class DataFrameSuite extends QueryTest with
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Github user adrian-wang commented on the pull request:
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@JoshRosen HiveQL supports this, so does MySQL.
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Github user JoshRosen commented on the pull request:
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Just to clarify, do HiveSQL and other SQL dialects support this?
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GitHub user adrian-wang opened a pull request:
https://github.com/apache/spark/pull/9085
[SPARK-10533] [SQL] handle scientific notation in sqlParser
https://issues.apache.org/jira/browse/SPARK-10533
val df = sqlContext.createDataFrame(Seq(("a",1.0),("b",2.0),("c",3.0)))
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