Well, I guess it could be bad data, but I don't know how to tell. I think I've done more than this before.
I have a "Find duplicates" query that groups by bib record number. That query seemed to take about 40 minutes to process. Then I added a criterion to limit to only records that had >0 circs this year. That query displays the rotating cursor, then says "Not Responding", then the cursor, and loops through that for hours. Maybe I can find the Access bad data, but I'd be glad to find a more modern data analysis software. My db is 136,256 kb. But adding that extra query will probably put it over the 2GB mark. I've tried extracting to a csv, and that didn't work. Maybe I'll try a Make table to a separate db.
Or the OpenRefine suggestion sounds good too.
Cindy Harper
-----Original Message-----
From: Code for Libraries [mailto:[log in to unmask]] On Behalf Of Kevin Ford
Sent: Wednesday, August 05, 2015 4:23 PM
To: [log in to unmask]
Subject: Re: [CODE4LIB] Processing Circ data
Hi Cindy,
This doesn't quite address your issue, but, unless you've hit the 2 GB Access size limit [1], Access can handle a good deal more than 250,000 item records ("rows," yes?) you cited.
What makes you think you've hit the limit? Slowness, something else?
All the best,
Kevin
[1]
https://support.office.com/en-us/article/Access-2010-specifications-1e521481-7f9a-46f7-8ed9-ea9dff1fa854
On 8/5/15 3:07 PM, Harper, Cynthia wrote:
> Hi all. What are you using to process circ data for ad-hoc queries. I usually extract csv or tab-delimited files - one row per item record, with identifying bib record data, then total checkouts over the given time period(s). I have been importing these into Access then grouping them by bib record. I think that I've reached the limits of scalability for Access for this project now, with 250,000 item records. Does anyone do this in R? My other go-to- software for data processing is RapidMiner free version. Or do you just use MySQL or other SQL database? I was looking into doing it in R with RSQLite (just read about this and sqldf http://www.r-bloggers.com/make-r-speak-sql-with-sqldf/ ) because ... I'm rusty enough in R that if anyone will give me some start-off data import code, that would be great.
>
> Cindy Harper
> E-services and periodicals librarian
> Virginia Theological Seminary
> Bishop Payne Library
> 3737 Seminary Road
> Alexandria VA 22304
> [log in to unmask]<mailto:[log in to unmask]>
> 703-461-1794
>
