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https://issues.apache.org/jira/browse/PHOENIX-1749?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14486021#comment-14486021
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Alicia Ying Shu edited comment on PHOENIX-1749 at 4/8/15 9:07 PM:
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To clarify, I did not bypass the logic in
TrackOrderPreservingExpressionCompiler. I let the order by node go through the
logic in TrackOrderPreservingExpressionCompiler. That is the visitor at
expression = colParseNode.accept(visitor);
Uploaded a patch for you to take a look. It is inline with what you said. All
tests passed.
was (Author: aliciashu):
To clarify, I did not bypass the logic in
TrackOrderPreservingExpressionCompiler. I let the order by node go through the
logic in TrackOrderPreservingExpressionCompiler. That is the visitor at
expression = colParseNode.accept(visitor); I will upload a patch for you to
take a look. It is inline with what you said. All tests passed.
> ORDER BY should support ordinal position as well as expression
> --------------------------------------------------------------
>
> Key: PHOENIX-1749
> URL: https://issues.apache.org/jira/browse/PHOENIX-1749
> Project: Phoenix
> Issue Type: Bug
> Reporter: Serhiy Bilousov
> Assignee: Alicia Ying Shu
> Attachments: PHOENIX-1749-v1.patch, PHOENIX-1749.patch,
> Phoenix-1749-v2.patch
>
>
> In postgreSQL (and many others DBs) you can specify not only column name for
> the ORDER BY but column number (position in SELECT part) as well as column
> alias.
> see:
> http://www.postgresql.org/docs/9.4/static/queries-order.html
> http://www.postgresql.org/docs/9.4/static/sql-select.html#SQL-GROUPBY
> Adding such support would be very helpful and sometimes necessary.
> I can provide real queries example if required but basically we want
> something like this
> given query
> SELECT a, b, TRUNC(current_date(),'HOUR') AS date_truncated FROM table
> we want
> ORDER BY 1 ASC, 2 DESC
> ORDER BY date_truncated
> Having just column number would cover both but having column alias would make
> queries more readable and human friendly. Plus make it one little stem closer
> to postgreSQL and SQL standard.
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