Can somebody give me a sample unitemporal document that we can use in MarkLogic?
I need to create a collection on the system time and add some documents in it.
Also need to upload and check multiple versions of the same document. How to do these?
Listing out all steps would be too much for a Stack Overflow answer. I recommend reading the Temporal Guide. It discusses both uni-temporal and bi-temporal in detail, and comes with fully explained examples.
Also worth reading is this blog about temporal support in MarkLogic, but mostly as introduction to the topic:
https://www.marklogic.com/blog/bitemporal/
HTH!
Related
Im looking for a way to add an NPC which sells items based on the achievements a character has. Because of my lack of other coding skills, if at all possible i would like to achieve it with SQL commands, hence modifying the db. I was looking through the conditions page on the wiki but have no idea how to use the provided information.
Also i was backtracing the db regarding the NPC Charles Worth who happens to teach tailors recipes based on achievements they have. I intended to copy this toons conditions, but couldnt find what entries to use.
Any help, clarifying db entries, or pointing to the right direction in another way, is much appreciated.
Please follow this link for the documentation:
https://www.azerothcore.org/wiki/conditions
You can use the source type: "SOURCE_TYPE_NPC_VENDOR" and the condition type: "CONDITION_ACHIEVEMENT" for what you need, how to implement this, you can find that in the link above.
Also, one way to make this easier is to use the tool developer by the azerothcore team, Keira3.
This is a very visual Database Editor and can help you understand what each column do as almost each cell is documented and you have links to the full documentation as well.
Keira3 link: https://github.com/azerothcore/keira3
Found enough interesting library Redux-orm for redux. Uses redux storage like database.
Who uses this library, please advice - what means module descriptors here?
With examples, please.
Because there is no detailed documentation and examples about it.
Thanks.
Link for documentation
Disclaimer: I'm the current Redux-ORM maintainer.
There's an amazing blog post series called Practical Redux written by Mark Erikson where he gives a detailed introduction to Redux-ORM. It's a tiny bit outdated but still solid information. But our Readme, mostly written by the original author Tommi Kaikkonen, is also a reliable (and more future-proof) source. We should definitely provide additional step-by-step documentation documentation on a dedicated site. That's mainly a manpower issue.
Your links refer to our JSDoc documentation which is automatically generated from our source code and comments in there. The descriptors module is an internal part of Redux-ORM that currently provides the code for relationship accessors. For instance, author.books would call the backwardsManyToOneDescriptor to resolve an author's books (if we assume that books can only be written by one author). You don't need to know how this works for using the library, though.
i was reading about how to do memebership,roles and profiles in asp.net and they all seem to be very easy,but there is one thing, which all the tutorials and books i have seem to forget to talk about.
the data base generated by asp.net has some tables, which i have no idea what they are used for.
i was woundering if anyone could provide me with an explanation of what each table in the "aspnetdb" is used for
thanks in advance
Explaining it here would be a bit lengthy. Take a look at MSDN's documentation here.
There are 8 parts to the article in total. Each one describes what each table is used for from both a high level and a more detailed level.
It's used to house the data used by the default membership/roles/profiles provider. You could figure out the details (it's not a complicated schema) but good design principles would say you should treat it like a black box and not touch it directly - only touch it via the membership/role/profile APIs. Don't rely on Microsoft keeping their internal implementation details the same in the future.
I can see where to get an rss feed for the BUG LIST, however I would like to get rss updates for modifications to current bugs if possible.
This is quite high up when searching via Google for it, so I'm adding a bit of advertisement here:
As Bugzilla still doesn't support this I wrote a small web service supporting exactly this. You can find its source code here and a running instance here.
What you're asking for is the subject of this enhancement bug:
https://bugzilla.mozilla.org/show_bug.cgi?id=256718
but no one seems to be working on it.
My first guess is that the way to do it is to add a template somewhere like template/en/default/bug/show.atom.tmpl with whatever you need. Put it in custom or an extension as needed.
If you're interested in working on it or helping someone with it, visit channel #mozwebtools on irc.mozilla.org.
Not a perfect solution, but with the resolution of bug #255606, Bugzilla now allows listing all bugs, by running a search with no criteria, and you can then get the results of the search in Atom format using the link in the bottom of the list.
From the release notes for 4.2:
Configuration: A new parameter search_allow_no_criteria has been added (default: on) which allows admins to forbid queries with no criteria. This is particularly useful for large installations with several tens of thousands bugs where returning all bugs doesn't make sense and would have a performance impact on the database.
I'm using R for data analysis, and I'm sharing some data with collaborators via Google docs. Is there a simple interface that I can use to access a R data.frame object to and from a Google Docs spreadsheet? If not, is there a similar API in other languages?
There are two packages:
RGoogleDocs on Omegahat: the package allows you to get a list of the documents and details about each of them, download the contents of a document, remove a document, and upload a document, even binary files.
RGoogleData on RForge: provides R access to Google services through the Google supported Java API. Currently the R interface only supports Google Docs and Spreadsheets.
As of 2015, there is now the googlesheets package. It is the best option out there for analyzing and editing Google Sheets data in R. Not only can it pull data from Google Sheets, but you can edit the data in Google Sheets, create new sheets, etc.
The GitHub link above has a readme with usage details; there's also a vignette for getting started, or you can find the official documentation on CRAN.
This may partially answer the question, or help others who want to begin by only downloading FROM public google spreadsheets: http://blog.revolutionanalytics.com/2009/09/how-to-use-a-google-spreadsheet-as-data-in-r.html#
I had a problem with certificates, and instead of figuring that out, I use the option ssl.verifypeer=FALSE. E.g.:
getURL("https://<googledocs URL for sharing CSV>, ssl.verifypeer=FALSE)
I put up a Github project to demonstrate how to use RGoogleDocs to read from a Google Spreadsheet. I have not yet been able to write to cells, but the read path works great.
Check out the README at https://github.com/hammer/google-spreadsheets-to-r-dataframe
I just wrote another package to download Google Docs spreadsheets. Its much simpler than the alternatives, since it just requires the URL (and that 'share by link' is enabled).
Try it:
install.packages('gsheet')
library(gsheet)
gsheet2tbl('docs.google.com/spreadsheets/d/1I9mJsS5QnXF2TNNntTy-HrcdHmIF9wJ8ONYvEJTXSNo')
More detail is here: https://github.com/maxconway/gsheet
Since R itself is relatively limited when it comes to execution flow control, i suggest using an api to an high-level programming language provided by google: link text.
There you can pick whichever you are most familiar with.
I for one always use python templates to give R a little more flexibility, so that would be a good combination.
For the task of exporting data from R to google docs, the first thing that comes to my mind would be to save it to csv, then parse and talk to g/docs with one of the given languages.