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https://issues.apache.org/jira/browse/CALCITE-4471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17267120#comment-17267120
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yanjing.wang commented on CALCITE-4471:
---------------------------------------
I submitted a [PR|https://github.com/apache/calcite/pull/2328] to solve this
problem
> "SqlBetweenOperator" should support writing optional "ASYMMETRIC" or
> "SYMMETRIC" flag in "unparse" method
> ---------------------------------------------------------------------------------------------------------
>
> Key: CALCITE-4471
> URL: https://issues.apache.org/jira/browse/CALCITE-4471
> Project: Calcite
> Issue Type: Bug
> Components: core
> Affects Versions: 1.26.0
> Environment: jvm: open-jdk8
> Reporter: yanjing.wang
> Priority: Major
> Labels: pull-request-available
> Attachments: image-2021-01-18-15-51-40-245.png,
> image-2021-01-18-15-57-02-994.png, image-2021-01-18-15-57-22-436.png
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> when i unparse the following sql
>
> {code:java}
> String sql = "select concat(a.id,'-',b.id) , a.name from xxx.bb where dt
> between '2020-10-04' AND '2020-10-09' limit 2";
> {code}
> i got the result
>
> {code:java}
> SELECT `CONCAT`(`A`.`ID`, '-', `B`.`ID`), `A`.`NAME` FROM `XXX`.`BB` WHERE
> `DS` BETWEEN ASYMMETRIC '2020-10-04' AND '2020-10-09' LIMIT 2
> {code}
> the "ASYMMETRIC" keyword is not supported in spark dialect. and the
> "parser.jj" file defines optional "ASYMMETRIC" and "SYMMETRIC" keyword.
> !image-2021-01-18-15-51-40-245.png!
> but "SqlBetweenOperator" writes the "flag" in hard code way.
> !image-2021-01-18-15-57-02-994.png!
> !image-2021-01-18-15-57-22-436.png!
> the parse and unparse should keep the same syntax process.
> my code is as follows
>
> {code:java}
> String sql = "select concat(a.id,'-',b.id) , a.name from xxx.bb where dt
> between '2020-10-04' AND '2020-10-09' limit 2";
> SqlParser sqlParser = SqlParser.create(sql, configBuilder); try { SqlNode
> sqlNode = sqlParser.parseQuery(); SqlString sqlString =
> sqlNode.toSqlString(SPARK); System.out.println(sqlString); } catch
> (SqlParseException e) { e.printStackTrace(); }
> {code}
>
>
>
>
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