Ninox empowers line-of-business teams to automate backoffice workflows without the help of a developer. With this No-Code approach we help more than 2.800 companies across all industries to digitize business proceses. https://corcocamis1982.mystrikingly.com/blog/welcome-to-the-black-mesa-transit-system. The market for no- and low-code application platforms grows rapdily and is expected to reach $27B in 2022. Ninox is a simple flat-file database system. Tables - With Ninox you manage your data in tables that you can browse, filter, sort and group. Data fields - Ninox offers a variety of data fields, including text, numbers, Yes / No, list, date, time, picture and web address. Relations - Link tables to each other to represent complex situations. Compatibility: macOS 10.10 or later, 64bit. Ninox is an easy to use database app for Mac & iOS. Create custom business apps for you and your team. Organize everything, improve your. Ninox scored 65/100 in the Business Management category. This is based on user satisfaction (100/100), press buzz (38/100), recent user trends (falling), and other relevant information on Ninox.
Triggers
Thanks so much. Duh! It's been a few years since I've done any programming. I had forgotten := is assignment, = is a logic test. The trigger worked with just the logic test 'if checkbox'. Thanks again.
Hi Ninox team!
Is there a possibility to automatically populate a field with information fetched from a file path or from an external url?
Example:
I enter a person ID into field 'PersID'. Based on that entry, I can calculate an URL to a photo of that person like this 'http://my.company.com/api/persons/' + Pers_ID + '/picture'. Alternatively, I could work with a calculated path to a folder on my local hard disk where all picture files are stored with a name in the form 'PersID.jpg'.
I hoped that I can set a trigger to the field 'PersID' that then populates various other fields of the same record from local or web-based resources as described above. So far, I only managed to populate other fields with links to external data, but not with the actual external data.
Is it possible at all to do what I want in Ninox? If yes: How? If no: Are there plans to add such functionality? Thanks in advance & kind regards, Christoph
Hello, this should be easy :-)
Say you have a field 'Pers_ID' and URL field 'URL'.
Use the trigger 'onChange' in the field 'Pers_ID' to set the URL like this:
–––
URL := 'http://my.company.com/api/persons/' + Pers_ID + '/picture'
–––
Birger - Ninox Support
Hi Birger, thanks for the quick reply!
Sorry, I wasn't clear enough with my question. I'm already using what you describe above for URL fields, and that works fine. But I would like to go one step further.
For example, I have an Image field 'Photo'. Now I tried to set a trigger on the field 'Pers_ID' like this:
Photo := 'http://my.company.com/api/persons/' + Pers_ID + '/picture'
to automagically load the picture after I entered the Person ID. But when I do this, my Image field 'Photo' just contains the text of the URL, but not the picture.
What I would like to do would probably require a function like DOWNLOAD(URL) or EVAL(URL) or GET(URL), and then the trigger could be Photo := DOWNLOAD('http://my.company.com/api/persons/' + Pers_ID + '/picture' ). And ideally, this would work with URLs and local hard disk paths.
I haven't found anything like this in the reference of functions, so I fear it's not currently possible to do what I wanted. But maybe I overlooked something, or maybe this could be a future extension? It would be extremely helpful for applications where Ninox is used to dynamically combine existing data from an external source (read-only) with own data fields.
Here is a solution:
Greeting
Birger - Ninox Support
Hi Birger
Wow, this is pretty cool. I haven't been aware that this is possible with formulas.
After testing it, I see one drawback and one issue:
The drawback: With my trigger attempt I hoped to be able to load the image data into Ninox when adding a new record, so that the photo is also displayed when I'm not online later (after initial download). This is not possible with the formula approach; i.e. to see the photo you have to always be online.
The issue: For some reason that I don't currently understand, it only works for the first 6 photos. I relaunched Ninox several times and tried it with different records. It was always the same: For the first 6 records I opened, the photo was displayed ok, and after that the formula field remained blank. I tried the same with a browser to make sure it's not a server-side limitation, and I didn't see the problem there. 6 photos roughly correspond to 0.5 MB of data; does this exceed the capacity of some local cache or so?
Kind regards,
Christoph
Hi Christoph, you are right: The formula approach will only work if the device is online. Pictures are not downloaded. The problem is that in the OSX enviroment Apps don't have access to the file system.
Regarding the second topic 'only the first 6 photos'. If you could send me a copy of the Ninox database you are working on (Main menu -> 'Save Archvie as.') I'm sure that I can find a solution to your problem. My mail address: support@ninoxdb.de
Birger - Ninox Support
I have defined a trigger 'after update', and it works fine when I change a record directly.
But, when I import data to populate several records, it does not work. Am I missing anything in the configuration ?
Thanks in advance,
Rui
Triggers will not execute when importing data. Please give the formula to the import assistant or change the data using 'Mass data update.'
Birger - Ninox Support
Ninox Database 2 5 8 – Flat File Database System Download
Thanks for the information.
I tried other option thats works for me. I added a button that triggers the updating code, for all the new records, after loading data from the file.
Regards,
Rui
Example of a flat file model[1]
A flat-file database is a database stored in a file called a flat file. Records follow a uniform format, and there are no structures for indexing or recognizing relationships between records. The file is simple. A flat file can be a plain text file, or a binary file. Relationships can be inferred from the data in the database, but the database format itself does not make those relationships explicit.
The term has generally implied a small database, but very large databases can also be flat.
Overview[edit]
Plain text files usually contain one record per line.[2] There are different conventions for depicting data. In comma-separated values and delimiter-separated values files, fields can be separated by delimiters such as comma or tab characters. In other cases, each field may have a fixed length; short values may be padded with space characters. Extra formatting may be needed to avoid delimiter collision.
Using delimiters incurs some overhead in locating them every time they are processed (unlike fixed-width formatting), which may have performance implications. However, use of character delimiters (especially commas) is also a crude form of data compression which may assist overall performance by reducing data volumes — especially for data transmission purposes. Use of character delimiters which include a length component (Declarative notation) is comparatively rare but vastly reduces the overhead associated with locating the extent of each field.
Examples of flat files include /etc/passwd and /etc/group on Unix-like operating systems. Another example of a flat file is a name-and-address list with the fields Name, Address, and Phone Number.
A list of names, addresses, and phone numbers written by hand on a sheet of paper is a flat-file database. This can also be done with any typewriter or word processor. A spreadsheet or text editor program may be used to implement a flat-file database, which may then be printed or used online for improved search capabilities. Mediahuman youtube downloader 3 9 9 11 – video downloader.
History[edit]
Herman Hollerith's work for the US Census Bureau first exercised in the 1890 United States Census, involving data tabulated via hole punches in paper cards, may be considered the first computerized flat-file database, as it (presumably) included no cards indexing other cards, or otherwise relating the individual records (i.e. the individual cards) to one another, save by their group membership.
In the 1980s, configurable flat-file database computer applications were popular on the IBM PC and the Macintosh. These programs were designed to make it easy for individuals to design and use their own databases, and were almost on par with word processors and spreadsheets in popularity.[citation needed] Examples of flat-file database software include early versions of FileMaker and the sharewarePC-File and the popular dBase.
Flat-file databases are common and ubiquitous because they are easy to write and edit, and suit myriad purposes in an uncomplicated way.
Modern implementations[edit]
Linear stores of NoSQL data, JSON formatted data, primitive spreadsheets (perhaps comma-separated or tab-delimited), and text files can all be seen as flat-file databases, because they lack integrated indexes, built-in references between data elements, or complex data types. Programs to manage collections of books or appointments and address book may use essentially single-purpose flat-file databases, storing and retrieving information from flat files unadorned with indexes or pointing systems.
While a user can write a table of contents into a text file, the text file format itself does not include a concept of a table of contents. Business templates 3 0 1. While a user may write 'friends with Kathy' in the 'Notes' section for John's contact information, this is interpreted by the user rather than a built-in feature of the database. When a database system begins to recognize and codify relationships between records, it begins to drift away from being 'flat,' and when it has a detailed system for describing types and hierarchical relationships, it is now too structured to be considered 'flat.'
Example database[edit]
The following example illustrates typical elements of a flat-file database. The data arrangement consists of a series of columns and rows organized into a tabular format. This specific example uses only one table.
The columns include: name (a person's name, second column); team (the name of an athletic team supported by the person, third column); and a numeric unique ID, (used to uniquely identify records, first column).
https://trusted-free.mystrikingly.com/blog/how-to-install-directv-now-on-apple-tv. Here is an example textual representation of the described data:
This type of data representation is quite standard for a flat-file database, although there are some additional considerations that are not readily apparent from the text:
Ninox Database 2 5 8 – Flat File Database System Ppt
- Data types: each column in a database table such as the one above is ordinarily restricted to a specific data type. Such restrictions are usually established by convention, but not formally indicated unless the data is transferred to a relational database system.
- Separated columns: In the above example, individual columns are separated using whitespace characters. This is also called indentation or 'fixed-width' data formatting. Another common convention is to separate columns using one or more delimiter characters, such as a tab or comma.
- Relational algebra: Each row or record in the above table meets the standard definition of a tuple under relational algebra (the above example depicts a series of 3-tuples). Additionally, the first row specifies the field names that are associated with the values of each row.
- Database management system: Since the formal operations possible with a text file are usually more limited than desired, the text in the above example would ordinarily represent an intermediary state of the data prior to being transferred into a database management system.
Ninox Database 2 5 8 – Flat File Database System Pdf
See also[edit]
- /etc/passwd -- a commonly used flat file, used to detail users in UNIX
- CSV (standard Comma-Separated Values)
- Berkeley DB (typical Flat-file database)
- Awk (classical flat-file processor)
Ninox Database 2 5 8 – Flat File Database Systems
References[edit]
| Wikimedia Commons has media related to Flat file models. |
- ^Data Integration GlossaryArchived March 20, 2009, at the Wayback Machine, U.S. Department of Transportation, August 2001.
- ^Fowler, Glenn (1994), 'cql: Flat-file database query language', WTEC'94: Proceedings of the USENIX Winter 1994 Technical Conference on USENIX Winter 1994 Technical Conference
Retrieved from 'https://en.wikipedia.org/w/index.php?title=Flat-file_database&oldid=983331641'
Ninox Database 2 5 8 – Flat File Database System
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