https://www.monetdb.org/bugzilla/show_bug.cgi?id=3835

next version release should fix this.. or use monetdblite which already has the fix (the example scripts i sent use monetdblite) On Dec 30, 2015 11:53 PM, "Jigar Shah" jigar.shah1984@hotmail.com wrote:

Thanks a lot Dr. Hannes, Anthony. The trick worked perfectly. See the stats below:

However, there is one odd behavior I have noticed. Even after completion of the query, the RAM usage is still the same as when running the query. The RAM usage only reduces once I terminate the connection and stop the server.

Is this behavior normal for the MonetDB server ? Also, ‘Src_MonetDB’ creates a separate connection than ‘dbConnect’

Can the two connection run at the same time ? I noticed that sometimes when I use the Src_MonetDB connection, the dbConnect gets terminated automatically.

Thanks a lot for your help on these.

Best Regards,

Jigar

Sent from Mail http://go.microsoft.com/fwlink/?LinkId=550986 for Windows 10

*From: *Anthony Damico ajdamico@gmail.com *Sent: *Tuesday, December 29, 2015 6:22 AM *To: *Communication channel for MonetDB users users-list@monetdb.org *Subject: *Re: Extract Table Statistics after Data import using Monet.Read.Csv

for an example of this, see

https://github.com/ajdamico/asdfree/tree/master/Basic%20Stand%20Alone%20Medi...

On Dec 29, 2015 2:50 AM, "Hannes Mühleisen" hannes.muehleisen@cwi.nl wrote:

Hi Jigar,

...

On 29.12.2015, at 01:21, Jigar Shah jigar.shah1984@hotmail.com wrote:

The dataset is divided into have 12 tables of approx. 2 GB each. In

order to recreate the entire dataset, I want to use the MERGE function to merge all the 12 tables into one dataset for further analysis.

...

You can pass a vector of _all_ your file names to monetdb.read.csv(), this will load all of them into a new table and does not require the merge. The different schemas come from the function guessing the column types from the file.

Hannes

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