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https://issues.apache.org/jira/browse/SPARK-6649?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14908609#comment-14908609
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Rick Hillegas commented on SPARK-6649:
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Hi Fred,
The backtick syntax seems to be a feature of HiveQL according to this
discussion on the developer list:
http://apache-spark-developers-list.1001551.n3.nabble.com/column-identifiers-in-Spark-SQL-td14280.html
Thanks,
-Rick
> DataFrame created through SQLContext.jdbc() failed if columns table must be
> quoted
> ----------------------------------------------------------------------------------
>
> Key: SPARK-6649
> URL: https://issues.apache.org/jira/browse/SPARK-6649
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.0
> Reporter: Frédéric Blanc
> Priority: Minor
>
> If I want to import the content a table from oracle, that contains a column
> with name COMMENT (a reserved keyword), I cannot use a DataFrame that map all
> the columns of this table.
> {code:title=ddl.sql|borderStyle=solid}
> CREATE TABLE TEST_TABLE (
> "COMMENT" VARCHAR2(10)
> );
> {code}
> {code:title=test.java|borderStyle=solid}
> SQLContext sqlContext = ...
> DataFrame df = sqlContext.jdbc(databaseURL, "TEST_TABLE");
> df.rdd(); // => failed if the table contains a column with a reserved
> keyword
> {code}
> The same problem can be encounter if reserved keyword are used on table name.
> The JDBCRDD scala class could be improved, if the columnList initializer
> append the double-quote for each column. (line : 225)
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