View File SQLite Library
Introductory video now available on YouTube: Intro to SQLite in LabVIEW
 
SQLite3 is a very light-weight, server-less, database-in-a-file library. See www.SQLite.org. This package is a wrapper of the SQLite3 C library and follows it closely.

There are basically two use modes: (1) calling "Execute SQL" on a Connection to run SQL scripts (and optionally return 2D arrays of strings from an SQL statement that returns results); and (2) "Preparing" a single SQL statement and executing it step-by-step explicitly. The advantage of the later is the ability to "Bind" parameters to the statement, and get the column data back in the desired datatype. The "Bind" and "Get Column" VIs are set as properties of the "SQL Statement" object, for convenience in working with large numbers of them.

See the original conversation on this here.
Hosted on the NI LabVIEW Tools Network.
JDP Science Tools group on NI.com.
***Requires VIPM 2017 or later for install.***
Submitter drjdpowell Submitted 06/19/2012 Category Database & File IO LabVIEW Version 2013 License Type BSD (Most common)  

Introductory video now available on YouTube: Intro to SQLite in LabVIEW
 
SQLite3 is a very light-weight, server-less, database-in-a-file library. See www.SQLite.org. This package is a wrapper of the SQLite3 C library and follows it closely.

There are basically two use modes: (1) calling "Execute SQL" on a Connection to run SQL scripts (and optionally return 2D arrays of strings from an SQL statement that returns results); and (2) "Preparing" a single SQL statement and executing it step-by-step explicitly. The advantage of the later is the ability to "Bind" parameters to the statement, and get the column data back in the desired datatype. The "Bind" and "Get Column" VIs are set as properties of the "SQL Statement" object, for convenience in working with large numbers of them.

See the original conversation on this here.
Hosted on the NI LabVIEW Tools Network.
JDP Science Tools group on NI.com.
***Requires VIPM 2017 or later for install.***

Hi,
I would like to know if I can write stream data into two different tables with SQLite at the same time or not? Currently my system has one camera. I store the capture images and particle measurement in one table. I have just add one more camera to the system and would like to do the same thing and write to a second table in a parallel process.  I wonder if this is possible or not.
I use SQLite library.
Thanks in advance.
 

Hi Everyone,
I (re)watched James Powell's talk at GDevCon#2 about Application Design Around SQLite. I really like this idea as I have an application with lots of data (from serial devices and software configuration) that's all needed in several areas of the application (and external applications) and his talk was a 'light-bulb' moment where I thought I could have a centralized SQLite database that all the modules could access to select / update data.
He said the database could be the 'model' in the model-view-controller design pattern because the database is very fast. So you can collect data in one actor and publish it directly to the DB, and have another actor read the data directly from the DB, with a benefit of having another application being able to view the data.
Link to James' talk: https://www.youtube.com/watch?v=i4_l-UuWtPY&t=1241s)
 
I created a basic proof of concept which launches N-processes to generate-data (publish to database) and others to act as a UI (read data from database and update configuration settings in the DB (like set-point)). However after launching a couple of processes I ran into  'Database is locked (error 5) ', and I realized 2 things, SQLite databases aren't magically able to have n-concurrent readers/writers , and I'm not using them right...(I hope).
I've created a schematic (attached) to show what I did in the PoC (that was getting 'Database is locked (error 5)' errors).
I'm a solo-developer (and SQLite first-timer*) and would really appreciate it if someone could look over the schematic and give me guidance on how it should be done. There's a lot more to the actual application, but I think once I understand the limitations of the DB I'll be able to work with it.
*I've done SQL training courses.
In the actual application, the UI and business logic are on two completely separate branches (I only connected them to a single actor for the PoC) 
Some general questions / thoughts I had:
Is the SQLite based application design something worth perusing / is it a sensible design choice? Instead of creating lots of tables (when I launch the actors) should I instead make separate databases? - to reduce the number of requests per DB? (I shouldn't think so... but worth asking) When generating data, I'm using UPDATE to change a single row in a table (current value), I'm then reading that single row in other areas of code. (Then if logging is needed, I create a trigger to copy the data to a separate table) Would it be better if I INSERT data and have the other modules read the max RowId for the current value and periodically delete rows? The more clones I had, the slower the UI seemed to update (should have been 10 times/second, but reduced to updating every 3 seconds). I was under the impression that you can do thousands of transactions per second, so I think I'm querying the DB inefficiently. The two main reasons why I like the database approach are:
External applications will need to 'tap-into' the data, if they could get to it via an SQL query - that would be ideal. Data-logging is a big part of the application. Any advice you can give would be much appreciated.
Cheers,
Tom
(I'm using quite a few reuse libraries so I can't easily share the code, however, if it would be beneficial, I could re-work the PoC to just use 'Core-LabVIEW' and James Powell's SQLite API)

Good Afternoon,
I have been having an issue trying to resolve an error all afternoon, and hope that you might be able to help.
I am trying to execute the follow SQL "
SELECT m.name as tableName,
       p.name as columnName
FROM sqlite_master m
left outer join pragma_table_info((m.name)) p
     on m.name <> p.name
     where columnName = 'UploadedFlag'
order by tableName, columnName
" That returns a list of the tables that Contain the 'UploadedFlag' Column.   I have testing the SQL on both HeidiSQL and SQLite Expert Personal applications and run and return what I expect, however when I run it through LabVIEW I get a 402860 Error with the description " SQLITE_ERROR(1): near "(": syntax error " 
If anyone could point me in the direction of the syntax error then I would be very greatful.
Regards
Mark