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Posted to issues@spark.apache.org by "Gan Wei (Jira)" <ji...@apache.org> on 2020/02/21 06:37:00 UTC
[jira] [Comment Edited] (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=17041602#comment-17041602 ]
Gan Wei edited comment on SPARK-18502 at 2/21/20 6:36 AM:
----------------------------------------------------------
Is there a resolution for this issue?
I am also encountering the same issue when selecting a column name containing backtick "`".
{code:java}
df.select("a`b`").show(1)
{code}
got error msg:
{code:java}
org.apache.spark.sql.AnalysisException: syntax error in attribute name
{code}
was (Author: wgan008):
Is there a resolution for this issue. I am also encountering the same issue when selecting a column name containing backtick "`" .
{code:java}
df.select("a`b`").show(1)
{code}
got error msg:
{code:java}
org.apache.spark.sql.AnalysisException: syntax error in attribute name
{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
> Labels: bulk-closed
>
> 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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