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https://issues.apache.org/jira/browse/SPARK-18502?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15707196#comment-15707196
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Takeshi Yamamuro commented on SPARK-18502:
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Currently, AFAIK no.
However, the SQL standard
(http://savage.net.au/SQL/sql-99.bnf.html#delimited%20identifier) specifies a
double quotation (") as an escape one and I feel we need a general approach to
escape these metacharacters in Spark.
Certainly, other databases can use back quotations in column names.
ex) PostgreSQL
{code}
postgres=# create table test_table("i`d" INT, "value" VARCHAR);
CREATE TABLE
postgres=# \d test_table
Table "public.test_table"
Column | Type | Modifiers
--------+-------------------+-----------
i`d | integer |
value | character varying |
postgres=# insert into test_table values(1, 'aa');
INSERT 0 1
postgres=# select "i`d" from test_table;
i`d
-----
1
(1 row)
{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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