You should mention where your jdbc driver can be found...

On Fri, 18 Jan 2019, 02:46 Guillaume de GENTILE <
[email protected] wrote:

> Hi all,
>
> First of all I am an h2 fan since years.
> Its embedded CSVREAD function is fantastic for reading CSV or flat files,
> however it has some limitations:
>
>    - Bad performance when dealing with large CSV files (more than 1Go)
>       - I have already played with the optimizations parameters, but the
>       problem remains.
>       - Bad performance when ordering large data using multiple columns
>    in “ORDER BY”
>       - Yes, it is possible to create some indexes to improve the
>       performances.
>       - No support for wildcard expression in filename pattern (in case
>    we need to load all CSV files from an existing folder)
>    - No cache management (do not re-evaluate the CSVREAD if the
>    underlying csv file is not amended)
>
>
> Based on the above statements, I have developed my own CSV JDBC driver
> using an in-memory Column Store database in the background.
> It uses the same syntax as for h2 (select * from CSVREAD(...)).
>
> *Benefits are:*
>
>    - Outstanding performance when dealing with large data (more than 1Go)
>    - Outstanding performance when ordering multiple columns on large
>    files (more than 1Go)
>    - Support for wildcard expression in the CSVREAD (it is possible to
>    read all files contained in a specific folder in a row)
>    - Embedded cache management, the system will use the cache if the
>    underlying file is not amended
>
>
> I had some cases where I was not able to use H2 to read large CSV files
> due to very bad performances.
> This driver is using an In-Memory Column Store database in the background
> which is much efficient for storing large data and also for manipulating
> data (ex: ordering multiple columns has minimum impact on performance)
>
> Regards,
> Guillaume
>
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