If I load up jython in ODI, or run a procedure in ODI designer itself, I can
import com.sunopsis.dwg.tools
import com.sunopsis.dwg.tools.ODIImportObject
but the only method available from ODIImportObject is main()
I want to run ODIImportObject in the same way I would from the command line using startcmd.bet, but hopefully reducing the cost of JVM start up each time.
but I cannot work out what to pass to ODIImportObject (the params I know, -filename etc, its how do i format the jython parameter to main() that gets me.
You didnt mention which version of ODI you are using, In the latest sdk there are Service Finders for the different artifacts you want to retrieve. Eg. PackageServiceFinder etc...
Related
Given that monetdbe is a Python package, I'm optimistic that Python user-defined-functions are possible, but I haven't been able to find an example. I've tried this:
drop function every_other_letter;
create function every_other_letter(s string)
returns string
language python {
letters = "".join(s[::2])
return letters
};
select every_other_letter('foobarbaz');
I get this error:
ParseException:SQLparser:42000!Internal error while compiling statement: TypeException:user.p2_1[4]:'pyapi3.eval' library error in: Embedded Python 3 has not been enabled. Start server with --set embedded_py=3
Is there any way to set these flags in the embedded version?
The LANGUAGE PYTHON UDF's are a nice development feature in MonetDB's server installation but this feature requires an additional Python module to be loaded. And there is currently no way to configure monetdbe to load the required python module.
However assuming you have performance requirement for some production setting that are not met with the out-of-the-box SQL toolset in monetdbe, it makes more sense to implement a custom UDF extension written in C/C++. In regular MonetDB's server installation, the database server mserver5 can load an arbitrary extension module using the --loadmodule=<module> command option. But there is no equivalent monetdbe_option as of yet.
You might consider adding a feature request for this on monetdbe-python's github repository.
However there seems to exist a functioning undocumented workaround for adding UDF extensions to monetdbe. During its initialization, monetdbe attempts to load a set of hard coded modules. One of those is a module named "udf". You can create your own implementation of this module and load it into monetdbe.
Creating a native UDF extension is outside of the scope of this question and answer but there exist a nice up-to-date tutorial for writing UDF extensions for MonetDB here. Following the steps described in that tutorial, you end up with a SQL function revstr which has a user defined native implementation. The following Python script demonstrate its use:
from monetdbe import connect
with connect(autocommit=True) as con:
cur = cur.execute("select revstr('abcde')")
result = cur.fetchall()
print(result)
Make sure that the library containing your UDF extension is in the search path of the dynamic linker:
LD_LIBRARY_PATH=<path to directory containing lib_udf> python test.py
I want to connect to mysql through ansible-playbook and execute SQL statements, but there is no relevant module in the official website of ansible. Does anyone know how to operate
When there does not exist an official module to do something, you basically have two choices:
Find a custom module that someone has written that will do it (such as this one).
Write a custom module that will do it.
Do it using the command module or any of the other arbitrary command modules.
In your case, for a one-off playbook, I would typically go with the third option as I don't much care for running custom modules. I would make sure (Via Ansible of course) that mysql was installed on the box you were running against, and build a mysql command line string based on what you need to do which you then run on a host with access to the DB server (or the DB server itself). That's the quickest and dirtiest method.
I would like to run H2 on my local host (Windows), and create a new database.
To do so, I have dowloaded the zip file from http://www.h2database.com/html/main.html, unzipped it, then run the bin/h2.bat script. I have not used the windows installer, as the machine I will be running later on does not grant me installation privileges.
The console was successfully opened on the 8082 port, but I could not create any database, failing with Database "C:/Users/PC/test" not found [90013-198] 90013/90013. I have tried many variations, to no avail.
The documentation states that a database should be created automatically if it does not exist, but indicates it cannot be done so from the H2 console (http://www.h2database.com/html/tutorial.html#creating_new_databases).
However, the documentation does not provide an alternate way to create a database, either by running the jar with additional parameters, or by another utility.
I feel pretty dazed right now. How do I properly create a new database in H2? I would like a normal database, persisted on disk, not an in-memory one.
I would suggest that this does not work in version 198
You could download an older version (I used 196) to create the databse and then switch back to 198 to open the database.
I have managed to run it by using the following command line:
java -cp h2-1.4.198.jar org.h2.tools.Server -tcp -pg -web
I must have missed something in the documentation, sorry about this.
I'm working on an app that uses Jena for storage (with the TDB backend). I'm looking for something like the equivalent of Squirrel, that lets me see what's being stored, run queries etc. This seems like an obvious thing to need, but my (perhaps badly phrased) google queries aren't turning up anything promising.
Any suggestions, please? I'm on XP. Even a command line tool would be helpful.
Take a look at my Store Manager tool which is part of the dotNetRDF Toolkit which I develop as part of the wider dotNetRDF project I maintain.
It provides a fairly basic GUI through which you can connect to various Triple Stores including TDB provided that you expose your dataset via Joseki/Fuseki. You need to have .Net 3.5 installed to run the apps in the toolkit.
If you don't already expose your TDB dataset via HTTP try using Fuseki as it is ridiculously easy to use and can be run just on your local machine when necessary to make your TDB store available via HTTP for use with my tool e.g.
java -jar fuseki-0.1.0-server.jar --update --loc data /dataset
Please see the Fuseki wiki for more information on running Fuseki and the various options. In the above example Fuseki is run with SPARQL Update enabled (the --update flag), using the TDB dataset located in the directory data (the --loc data argument) and with a base URI of /dataset for the data.
Once running you can use my tool to connect to a Fuseki server by going to File > New Generic Store Manager, selecting the "Fuseki" tab from the dialog that appears, entering the URI http://localhost:3030/dataset/data and then clicking "Connect to Fuseki".
Twinkle is a handy SPARQL client : http://www.ldodds.com/projects/twinkle/
As it happens I'm working on something similar myself, but it still needs a lot of work (check back in a month :) http://hyperdata.org/wiki/Scute
first download jena fusaki from
https://jena.apache.org/download/index.cgi
un-zip the file and copy the "jena-fuseki-1.0.1" to c drive
open cmd
type for accesing the folder
"cd C:\jena-fuseki-1.0.1"
then type
"java -jar fuseki-server.jar --update --loc data /dataset"
at last open a browser and type
"localhost:3030/"
remember you must first declear the enviorment verible(located in system poperties then advance tab)
and edit variable name call "Path" in the "System verible" to
"C:\jena-fuseki-1.0.1"
I also develop a SPARQL client, Open Source in Java Swing: EulerGUI.
In fact it does a lot more, see the manual:
http://eulergui.svn.sourceforge.net/viewvc/eulergui/trunk/eulergui/html/documentation.html
For the SPARQL feature, better take the EulerGUI minimal build:
http://sourceforge.net/projects/eulergui/files/eulergui/1.11/
I'm pretty sure the answer is "no" but I thought I'd check.
Background:
I have some legacy data in Access, need to get it into MySQL, which will be the DB server for a Ruby application that uses this legacy data.
Data has to be processed and transformed. Access and MySQL schemas are totally different. I want to write a rake task in Ruby to do the migration.
I'm planning to use the techniques outlined in this blog post: Using Ruby and ADO to Work with Access Databases. But I could use a different technique if it solves the problem.
I'm comfortable working on Unix-like computers, such as Macs. I avoid working in Windows because it fills me with deep existential horror.
Is there a practical way that I can write and run my rake task on my Mac and have it reach across the network to the grunting Mordor that is my Windows box and delicately pluck the data out like a team of commandos rescuing a group of hostages? Or do I have to just write this and run it on Windows?
Why don't you export it from MS-Access into Excel or CSV files and then import it into a separate MySQL database? Then you can rake the new one to your heart's content.
Mac ODBC drivers that open Access databases are available for about $30.00
http://www.actualtechnologies.com/product_access.php is one. I just run access inside vmware on my mac and expore to csv/excel as CodeSlave mentioned.
ODBC might be handy in case you want to use the access database to do a more direct transfer.
Hope that helps.
I had a similar issue where I wanted to use ruby with sql server. The best solution I found was using jruby with the java jdbc drivers. I'm guessing this will work with access as well, but I don't know anything about access