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Posted to issues@spark.apache.org by "Takeshi Yamamuro (JIRA)" <ji...@apache.org> on 2016/11/26 04:02:58 UTC
[jira] [Commented] (SPARK-18502) Spark does not handle columns that
contain backquote (`)
[ https://issues.apache.org/jira/browse/SPARK-18502?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15697210#comment-15697210 ]
Takeshi Yamamuro commented on SPARK-18502:
------------------------------------------
Please give us a simple query to reproduce this?
I tried a simple query though, the query passed;
{code}
scala> val df = Seq(("a", 1), ("b", 2), ("c", 1), ("d", 5)).toDF("`k`ey`", "value")
df: org.apache.spark.sql.DataFrame = [`k`ey`: string, value: int]
scala> df.show
+------+-----+
|`k`ey`|value|
+------+-----+
| a| 1|
| b| 2|
| c| 1|
| d| 5|
+------+-----+
{code}
> Spark does not handle columns that contain backquote (`)
> --------------------------------------------------------
>
> Key: SPARK-18502
> URL: https://issues.apache.org/jira/browse/SPARK-18502
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Barry Becker
> Priority: Minor
>
> I know that if a column contains dots or hyphens we can put backquotes/backticks around it, but what if the column contains a backtick (`)? Can the back tick be escaped by some means?
> Here is an example of the sort of error I see
> {code}
> org.apache.spark.sql.AnalysisException: syntax error in attribute name: `Invoice`Date`;org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute$.e$1(unresolved.scala:99) org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute$.parseAttributeName(unresolved.scala:109) org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute$.quotedString(unresolved.scala:90) org.apache.spark.sql.Column.(Column.scala:113) org.apache.spark.sql.Column$.apply(Column.scala:36) org.apache.spark.sql.functions$.min(functions.scala:407) com.mineset.spark.vizagg.vizbin.strategies.DateBinStrategy.getDateExtent(DateBinStrategy.scala:158)
> {code}
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