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Posted to issues@ignite.apache.org by "Kirill Shirokov (JIRA)" <ji...@apache.org> on 2018/01/26 10:01:00 UTC

[jira] [Updated] (IGNITE-7546) SQL COPY command: implement CSV header row parsing

     [ https://issues.apache.org/jira/browse/IGNITE-7546?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Kirill Shirokov updated IGNITE-7546:
------------------------------------
    Affects Version/s: 2.4
          Description: 
Implement optional reading of CSV format header row and matching it to column numbers.

So, there are the following options:

* just skip the header row (or arbitrary number of rows)
* match the fields in the header row to the query entity columns and map them to the column list

A possible syntax for this option might look like this:

{noformat}
COPY
    ...
    [(MATCH | SKIP) HEADER]
{noformat}

When implementing this feature please keep in mind that we might have an option for skipping user-specified number of header lines / left columns and importing only user-specified number of lines and columns.
          Component/s: sql
              Summary: SQL COPY command: implement CSV header row parsing  (was: SQL COPY co)

> SQL COPY command: implement CSV header row parsing
> --------------------------------------------------
>
>                 Key: IGNITE-7546
>                 URL: https://issues.apache.org/jira/browse/IGNITE-7546
>             Project: Ignite
>          Issue Type: Improvement
>          Components: sql
>    Affects Versions: 2.4
>            Reporter: Kirill Shirokov
>            Priority: Major
>
> Implement optional reading of CSV format header row and matching it to column numbers.
> So, there are the following options:
> * just skip the header row (or arbitrary number of rows)
> * match the fields in the header row to the query entity columns and map them to the column list
> A possible syntax for this option might look like this:
> {noformat}
> COPY
>     ...
>     [(MATCH | SKIP) HEADER]
> {noformat}
> When implementing this feature please keep in mind that we might have an option for skipping user-specified number of header lines / left columns and importing only user-specified number of lines and columns.



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