World: r4wp

guys when i enter correct value in form the above join query works 
properly... i need help for writing queries which other condition,it 
means if user enter wrong value ,it joins with first table but dose 
comparing indicidually  and shows error message.

the output of this query insert db[{select * from data LEFT JOIN 
data1 ON data.oneone=data1.oneone}]
 is : [

    ["c" "a" "t" "a" "e" "r" "o" "a" "c" "a" "t" "a" "e" "r" "o" "a"]
]

is there anyone who can help me ??

i compare each field of tables with each other like :insert db["select 
data.oneone,data1.oneone from data LEFT JOIN data1 ON data.oneone=data1.oneone"]
results: copy db 
probe results

insert db["select data.onetwo,data1.onetwo from data LEFT JOIN data1 
ON data.onetwo=data1.onetwo"]
results: copy db 
probe results

insert db["select data.onethree,data1.onethree from data LEFT JOIN 
data1 ON data.onethree=data1.onethree"]
results: copy db 
probe results .....

i got result

i need codes for showing message to user ,it mean after each joining 
,it should show user that  value  is correct or no

guys ! could you plz tell me after comparing values of two tables 
how can we show the output on web page?

after writing queries :foreach row read/custom mysql://[root-:-localhost]/test 
["select data.oneone,data1.oneone from data LEFT JOIN data1 ON data.oneone=data1.oneone"] 
[print row]

foreach row read/custom mysql://[root-:-localhost]/test ["select data.onetwo,data1.onetwo 
from data LEFT JOIN data1 ON data.onetwo=data1.onetwo"] [print row] 
....

i got this results:c c
a none
t t
a none
e none
r none
o none
a none

now how can i write query for everyvalues which are same and print 
correct message on web page?

hey guys... i have just 2days time for my project ! could you help 
me?

i could not do the last step ... i should show result of comparing 
values on web page

a quick update on elasticsearch.

Currently I have reached 2TB datasize (~85M documents) on a single 
node.

Queries now starting to slow down but the system is very stable even 
under

heavy load. While queries in average took between 50-250ms against 
a 

dataset around 1TB the same queries are now in a range between 900-1500 
ms.

The average allocated java heap is around 9GB which is nearly 100% 
of the
max heap size by a 15 shards and 0 replicas setting.

elasticsearch looks like a very good candidate for handling big data 
with 

a need for 'near realtime' analysis. Classical RDBMS like mysql and 
postgresql

where grilled at around 150-500GB. Another tested candidate was MongoDB

which was great too but since it stores all metadata and fields uncompressed

the waste of diskspace was ridiculous high. Furthermore query execution 
times 
differs unexpectable without any known reason by factor 3.

Tokyo Cabinet started fine but around 1TB I have noticed file integrity 
problems

which leads into endless restoring/repairing procedures. Adding sharding 
logic

by coding an additional layer wasn't very motivating but could solve 
this issue.

Within the next six months the datasize should reached the 100TB 
mark. 

Would be interesting to see how elasticsearch will scale and how 
many
nodes are nessesary to handle this efficiently.

when you talk about "documents" what type of documents are they?

Thanks for the info Tomas.

crawled html/mime embedded documents/images etc. as plain compressed 
source (avg. 25kb) and 14 searchable metafields (ngram) to train 
different NN types for pattern recognition.

thanks  :-)

I have a problem with RebDB: how works db-select/group?
Example:

>> db-select/where/group/count [ID title post date]  archive  [find 
post "t" ] [ID]
** User Error: Invalid number of group by columns
** Near: to error! :value

Don't you need to use aggregate functions when you grouping?

* when you use grouping.

I use the sql dialect like this:

sql [select count [ID title post date] from archive group by [ID 
title post] where [find post "t"]]


The trick with this particular query is the that the "count" selector 
must have exactly one more column than the "group by" selector.  
The first three elements [ID title post] are used to sort the output 
and the last element [date] is counted.

output will be organized:
	ID	title	post	count

I would like to be able to include other columns in the output that 
are not part of the grouping or count, but I haven't figured out 
how to do this in RebDB.  I have used a parse grammar on the output 
to achieve the desired result.

I would also like to query the results of a query, which I haven't 
figured out how to do so without creating and committing a new database. 
 So I have  used a parse grammar to merge two queries.

SQLite version 4 announced/proposed. The default built-in storage 
engine is a log-structured merge database instead of B-tree in SQlite3. 
As far as I understand the docs This store could be usable standalone 
or use SQL frontend. Google to SQLite4.

Cool

I cannot see any announcement on the sqlite.org web site? SQLite 
3.7.17 is the latest and recommended version?

I saw code last year, but it's probably still in deep development

Endo as I wrote google for SQLite4. direct link is: http://sqlite.org/src4/doc/trunk/www/design.wiki.
There is a mirror of souces at https://github.com/jarredholman/sqlite4
also.

Has anyone tried to work with ODBC under R3? I somehow can't load 
following ODBC driver DLL: https://github.com/gurzgri/r3-odbc

Or differently, has anyone worked with excel files via ODBC, using 
either R2 or R3? I tried Graham's code, which works for .xls files, 
but not .xlsx files. When I convert my file to .xls, R2 returns - 
not enough memory :-(

p: open [
     scheme: 'ODBC

     target: "Driver={Microsoft Excel Driver (*.xls)};DriverId=790;Dbq=c:\path-to-file\file.xls"
]
conn: first p
insert conn "select * from [Sheet1$]"
result: copy conn

As for R3 - maybe there was also some other R3 ODBC extension, somehow 
can't find it ....

hmm, found it, but no more available - http://www.rebol.org/ml-display-thread.r?m=rmlXJPF
... the problem with gurzgri DLL is, I can't somehow import it with 
any R3 version ...

What you found looks to be the latest version of that

I've also had loading problems with R3 extensions on Linux that worked 
before. Sometimes you seem to need an older R3, sometimes a newer

If all else fails, recompile the C code

well, I have even old latest Carl's view.exe, does not work either 
... lost battle here ... not fluent with recompile of ODBC DLL, does 
not imo guarantee, that loading it in R3 will actually work. I wonder 
if there was any change to import function or to extension mechanism 
itself ...

Bug fixes, I think, but they also seem to cause compatibility regressions

Do all your binding have Red-level interfaces now?

I guess some like SDL don't need that.

Yes, it's in progress. Some like SQLite are one-to-one in Red like 
in Red/System. SDL is used more as a part in other low level bindings, 
such as OpenGL. OpenGL itself is waiting for floats in Red

ok, so got valid ODBC connection string fro .xlsx files. R2 crashes 
when copying a data though ...

p: open [
     scheme: 'ODBC

     target: "Driver={Microsoft Excel Driver (*.xls, *.xlsx, *.xlsm, *.xlsb)};DBQ=C:\Work\sales.xlsx;"
]

ok, got it kind of working with the increase of p/locals/rows to 
10K lines ... the excel sheets are so complex, that it does not return 
half of the info, it most probably counts on more columnar/db kind 
of data ...

pity Saphirion's excel dialect is not available for download anymore. 
Will try with Anton's old COMlib code ...

Sorry for the off-topic question, I though I was in another channel.

You are used to Red channel being at the top, right? :-)

Just forgot to check the channel name before posting. ;-)